#844 by GitHub stars
ufy2024/AuC
Agents-ufy-Core
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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auc/skill_library/bundled/accessibility/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-architecture-audit/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-eval/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-harness-construction/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-introspection-debugging/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-payment-x402/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-self-evaluation/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-sort/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agent-team/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agentic-engineering/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agentic-os/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/agentkit-multimedia-shopping/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ai-first-engineering/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ai-regression-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/algorithmic-art/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/android-clean-architecture/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/angular-developer/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-algorithmic-art/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-brand-guidelines/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-canvas-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-claude-api/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-doc-coauthoring/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-docx/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-frontend-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-internal-comms/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-mcp-builder/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-pdf/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-pptx/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-skill-creator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-slack-gif-creator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-theme-factory/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-web-artifacts-builder/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-webapp-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/anthropic-xlsx/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/api-connector-builder/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/api-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/architecture-decision-records/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/article-illustrator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/article-illustrator-article-illustrator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/article-writing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ask-matt/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/automation-audit-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/autonomous-agent-harness/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/autonomous-loops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/backend-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/baoyu-format-markdown/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/baoyu-post-to-wechat/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/baoyu-post-to-x/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/baoyu-url-to-markdown/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/bedtime-story/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/benchmark/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/benchmark-methodology/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/benchmark-optimization-loop/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/blender-motion-state-inspection/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/blueprint/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/brainstorming/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/brand-discovery/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/brand-guidelines/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/brand-voice/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/browser-qa/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/bun-runtime/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/canary-watch/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/canvas-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/carrier-relationship-management/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/chrome-automation/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/cisco-ios-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ck/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/claude-api/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/claude-devfleet/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/claude-handoff/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/click-path-audit/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/clickhouse-io/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/code-review/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/code-tour/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/codebase-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/codebase-onboarding/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/codehealth-mcp/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/coding-standards/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/competitive-platform-analysis/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/competitive-report-structure/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/compose-multiplatform-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/config-gc/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/configure-ecc/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/connections-optimizer/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/content-creation-publisher/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/content-engine/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/content-hash-cache-pattern/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/content-research-writer/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/context-budget/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/continuous-agent-loop/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/continuous-learning/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/continuous-learning-v2/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/contract-review/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/cost-aware-llm-pipeline/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/cost-tracking/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/council/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/cpp-coding-standards/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/cpp-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/crosspost/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/csharp-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/customer-billing-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/customs-trade-compliance/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dart-flutter-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dashboard-builder/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/data-scraper-agent/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/data-storytelling/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/data-throughput-accelerator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/database-migrations/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/deep-research/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/defi-amm-security/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/delivery-gate/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/deployment-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/design-system/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/diagnosing-bugs/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/digital-avatar-shopping-video/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dispatching-parallel-agents/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/django-celery/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/django-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/django-security/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/django-tdd/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/django-verification/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dmux-workflows/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/doc-coauthoring/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/docker-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/documentation-lookup/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/docx/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/domain-modeling/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dotnet-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dream-video-prompt-generator/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/dynamic-workflow-mode/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/e2e-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ecc-guide/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ecc-recipes/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ecc-tools-cost-audit/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ecommerce-copywriter/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ecommerce-video-marketing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/edit-article/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/email-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/energy-procurement/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/enterprise-agent-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/error-handling/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/eval-harness/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/evm-token-decimals/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/exa-search/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/executing-plans/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/fal-ai-media/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/fastapi-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/finance-billing-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/finishing-a-development-branch/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/flox-environments/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/flutter-dart-code-review/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/foundation-models-on-device/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/frontend-a11y/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/frontend-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/frontend-design-direction/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/frontend-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/frontend-slides/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/fsharp-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/gan-style-harness/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/gateguard/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/generating-python-installer/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/gget/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/git-guardrails-claude-code/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/git-workflow/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/github-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/golang-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/golang-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/google-workspace-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/grill-me/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/grill-with-docs/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/grilling/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/growth-log/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/handoff/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/healthcare-cdss-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/healthcare-emr-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/healthcare-eval-harness/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/healthcare-phi-compliance/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/hermes-imports/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/hexagonal-architecture/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/hipaa-compliance/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/historical-interview-scripts/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/historical-science-video-prod/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/homelab-network-readiness/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/homelab-network-setup/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/homelab-pihole-dns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/homelab-vlan-segmentation/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/homelab-wireguard-vpn/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/hookify-rules/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/implement/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/improve-codebase-architecture/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/infinitetalk/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/infinitetalk-infinitetalk/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/infinitetalk-shopping-avatar/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/inherit-legacy-style/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/intelligent-content-system/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/intent-driven-development/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/internal-comms/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/inventory-demand-planning/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/investor-materials/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/investor-outreach/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ios-icon-gen/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/iterative-retrieval/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ito-basket-compare/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ito-data-atlas-agent/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ito-market-intelligence/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/ito-trade-planner/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/java-coding-standards/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/jira-integration/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/jpa-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/json-canvas/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/karpathy-guidelines/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/knowledge-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kotlin-coroutines-flows/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kotlin-exposed-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kotlin-ktor-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kotlin-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kotlin-testing/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/kubernetes-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/laravel-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/laravel-plugin-discovery/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/laravel-security/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/laravel-tdd/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/laravel-verification/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/latency-critical-systems/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/law-to-markdown/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/lead-intelligence/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/liquid-glass-design/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/literature-review/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/llm-trading-agent-security/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/logistics-exception-management/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/loop-me/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/mailtrap-email-integration/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/make-interfaces-feel-better/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/manim-video/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/market-research/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/marketing-campaign/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/mcp-builder/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/mcp-server-patterns/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/media-processor/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
No earlier version was observed for comparison.
auc/skill_library/bundled/messages-ops/SKILL.md
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 39054cbca961
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auc/skill_library/bundled/migrate-to-shoehorn/SKILL.md
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auc/skill_library/bundled/ml-adoption-playbook/SKILL.md
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auc/skill_library/bundled/mle-workflow/SKILL.md
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auc/skill_library/bundled/moltbook/SKILL.md
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auc/skill_library/bundled/motion-advanced/SKILL.md
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auc/skill_library/bundled/motion-foundations/SKILL.md
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auc/skill_library/bundled/motion-patterns/SKILL.md
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auc/skill_library/bundled/motion-ui/SKILL.md
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auc/skill_library/bundled/multi-agent-meeting/SKILL.md
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auc/skill_library/bundled/mysql-patterns/SKILL.md
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auc/skill_library/bundled/nanobanana-ppt-visualizer/SKILL.md
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auc/skill_library/bundled/nanoclaw-repl/SKILL.md
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auc/skill_library/bundled/nestjs-patterns/SKILL.md
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auc/skill_library/bundled/netmiko-ssh-automation/SKILL.md
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auc/skill_library/bundled/network-bgp-diagnostics/SKILL.md
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auc/skill_library/bundled/network-config-validation/SKILL.md
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auc/skill_library/bundled/network-interface-health/SKILL.md
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auc/skill_library/bundled/nextjs-turbopack/SKILL.md
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auc/skill_library/bundled/nodejs-keccak256/SKILL.md
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auc/skill_library/bundled/nutrient-document-processing/SKILL.md
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auc/skill_library/bundled/nuxt4-patterns/SKILL.md
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auc/skill_library/bundled/obsidian-bases/SKILL.md
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auc/skill_library/bundled/obsidian-markdown/SKILL.md
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auc/skill_library/bundled/obsidian-vault/SKILL.md
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auc/skill_library/bundled/openclaw-persona-forge/SKILL.md
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auc/skill_library/bundled/opensource-pipeline/SKILL.md
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auc/skill_library/bundled/orch-add-feature/SKILL.md
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auc/skill_library/bundled/orch-build-mvp/SKILL.md
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auc/skill_library/bundled/orch-change-feature/SKILL.md
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auc/skill_library/bundled/orch-fix-defect/SKILL.md
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auc/skill_library/bundled/orch-pipeline/SKILL.md
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auc/skill_library/bundled/orch-refine-code/SKILL.md
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auc/skill_library/bundled/paper-analysis-assistant/SKILL.md
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auc/skill_library/bundled/parallel-execution-optimizer/SKILL.md
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auc/skill_library/bundled/pdf/SKILL.md
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auc/skill_library/bundled/pdf-processing-pro/SKILL.md
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auc/skill_library/bundled/perl-patterns/SKILL.md
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auc/skill_library/bundled/perl-security/SKILL.md
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auc/skill_library/bundled/perl-testing/SKILL.md
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auc/skill_library/bundled/pet-commerce-creator/SKILL.md
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auc/skill_library/bundled/plan-canvas/SKILL.md
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auc/skill_library/bundled/plan-orchestrate/SKILL.md
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auc/skill_library/bundled/plankton-code-quality/SKILL.md
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auc/skill_library/bundled/poetry-music-visual/SKILL.md
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auc/skill_library/bundled/pop-up-book-illustration/SKILL.md
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auc/skill_library/bundled/postgres-patterns/SKILL.md
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auc/skill_library/bundled/ppt-generator/SKILL.md
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auc/skill_library/bundled/ppt-roadshow-generator/SKILL.md
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auc/skill_library/bundled/pptx/SKILL.md
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auc/skill_library/bundled/pptx-generator/SKILL.md
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auc/skill_library/bundled/prediction-market-oracle-research/SKILL.md
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auc/skill_library/bundled/prediction-market-risk-review/SKILL.md
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auc/skill_library/bundled/prisma-patterns/SKILL.md
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auc/skill_library/bundled/product-capability/SKILL.md
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auc/skill_library/bundled/product-lens/SKILL.md
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auc/skill_library/bundled/product-manager-toolkit/SKILL.md
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auc/skill_library/bundled/product-marketing-copywriter/SKILL.md
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auc/skill_library/bundled/product-video-creator/SKILL.md
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auc/skill_library/bundled/production-audit/SKILL.md
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auc/skill_library/bundled/production-scheduling/SKILL.md
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Heat
0.2- Star growth, last 7 daysAhead of 1% of tracked repositories
- Star growth, last 24 hoursAhead of 2% of tracked repositories
- Rank movement, last 7 daysAhead of 5% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- accessibility
auc/skill_library/bundled/accessibility - agent-architecture-audit
auc/skill_library/bundled/agent-architecture-audit - agent-eval
auc/skill_library/bundled/agent-eval - agent-harness-construction
auc/skill_library/bundled/agent-harness-construction - agent-introspection-debugging
auc/skill_library/bundled/agent-introspection-debugging - agent-payment-x402
auc/skill_library/bundled/agent-payment-x402 - agent-self-evaluation
auc/skill_library/bundled/agent-self-evaluation - agent-sort
auc/skill_library/bundled/agent-sort - agent-team
auc/skill_library/bundled/agent-team - agentic-engineering
auc/skill_library/bundled/agentic-engineering - agentic-os
auc/skill_library/bundled/agentic-os - agentkit-multimedia-shopping
auc/skill_library/bundled/agentkit-multimedia-shopping - ai-first-engineering
auc/skill_library/bundled/ai-first-engineering - ai-regression-testing
auc/skill_library/bundled/ai-regression-testing - algorithmic-art
auc/skill_library/bundled/algorithmic-art - android-clean-architecture
auc/skill_library/bundled/android-clean-architecture - angular-developer
auc/skill_library/bundled/angular-developer - anthropic-algorithmic-art
auc/skill_library/bundled/anthropic-algorithmic-art - anthropic-brand-guidelines
auc/skill_library/bundled/anthropic-brand-guidelines - anthropic-canvas-design
auc/skill_library/bundled/anthropic-canvas-design - anthropic-claude-api
auc/skill_library/bundled/anthropic-claude-api - anthropic-doc-coauthoring
auc/skill_library/bundled/anthropic-doc-coauthoring - anthropic-docx
auc/skill_library/bundled/anthropic-docx - anthropic-frontend-design
auc/skill_library/bundled/anthropic-frontend-design - anthropic-internal-comms
auc/skill_library/bundled/anthropic-internal-comms - anthropic-mcp-builder
auc/skill_library/bundled/anthropic-mcp-builder - anthropic-pdf
auc/skill_library/bundled/anthropic-pdf - anthropic-pptx
auc/skill_library/bundled/anthropic-pptx - anthropic-skill-creator
auc/skill_library/bundled/anthropic-skill-creator - anthropic-slack-gif-creator
auc/skill_library/bundled/anthropic-slack-gif-creator - anthropic-theme-factory
auc/skill_library/bundled/anthropic-theme-factory - anthropic-web-artifacts-builder
auc/skill_library/bundled/anthropic-web-artifacts-builder - anthropic-webapp-testing
auc/skill_library/bundled/anthropic-webapp-testing - anthropic-xlsx
auc/skill_library/bundled/anthropic-xlsx - api-connector-builder
auc/skill_library/bundled/api-connector-builder - api-design
auc/skill_library/bundled/api-design - architecture-decision-records
auc/skill_library/bundled/architecture-decision-records - article-illustrator
auc/skill_library/bundled/article-illustrator - article-illustrator
auc/skill_library/bundled/article-illustrator-article-illustrator - article-writing
auc/skill_library/bundled/article-writing - ask-matt
auc/skill_library/bundled/ask-matt - automation-audit-ops
auc/skill_library/bundled/automation-audit-ops - autonomous-agent-harness
auc/skill_library/bundled/autonomous-agent-harness - autonomous-loops
auc/skill_library/bundled/autonomous-loops - backend-patterns
auc/skill_library/bundled/backend-patterns - baoyu-format-markdown
auc/skill_library/bundled/baoyu-format-markdown - baoyu-post-to-wechat
auc/skill_library/bundled/baoyu-post-to-wechat - baoyu-post-to-x
auc/skill_library/bundled/baoyu-post-to-x - baoyu-url-to-markdown
auc/skill_library/bundled/baoyu-url-to-markdown - bedtime-story
auc/skill_library/bundled/bedtime-story - benchmark
auc/skill_library/bundled/benchmark - benchmark-methodology
auc/skill_library/bundled/benchmark-methodology - benchmark-optimization-loop
auc/skill_library/bundled/benchmark-optimization-loop - blender-motion-state-inspection
auc/skill_library/bundled/blender-motion-state-inspection - blueprint
auc/skill_library/bundled/blueprint - brainstorming
auc/skill_library/bundled/brainstorming - brand-discovery
auc/skill_library/bundled/brand-discovery - brand-guidelines
auc/skill_library/bundled/brand-guidelines - brand-voice
auc/skill_library/bundled/brand-voice - browser-qa
auc/skill_library/bundled/browser-qa - bun-runtime
auc/skill_library/bundled/bun-runtime - canary-watch
auc/skill_library/bundled/canary-watch - canvas-design
auc/skill_library/bundled/canvas-design - carrier-relationship-management
auc/skill_library/bundled/carrier-relationship-management - chrome-automation
auc/skill_library/bundled/chrome-automation - cisco-ios-patterns
auc/skill_library/bundled/cisco-ios-patterns - ck
auc/skill_library/bundled/ck - claude-api
auc/skill_library/bundled/claude-api - claude-devfleet
auc/skill_library/bundled/claude-devfleet - claude-handoff
auc/skill_library/bundled/claude-handoff - click-path-audit
auc/skill_library/bundled/click-path-audit - clickhouse-io
auc/skill_library/bundled/clickhouse-io - code-review
auc/skill_library/bundled/code-review - code-tour
auc/skill_library/bundled/code-tour - codebase-design
auc/skill_library/bundled/codebase-design - codebase-onboarding
auc/skill_library/bundled/codebase-onboarding - codehealth-mcp
auc/skill_library/bundled/codehealth-mcp - coding-standards
auc/skill_library/bundled/coding-standards - competitive-platform-analysis
auc/skill_library/bundled/competitive-platform-analysis - competitive-report-structure
auc/skill_library/bundled/competitive-report-structure - compose-multiplatform-patterns
auc/skill_library/bundled/compose-multiplatform-patterns - config-gc
auc/skill_library/bundled/config-gc - configure-ecc
auc/skill_library/bundled/configure-ecc - connections-optimizer
auc/skill_library/bundled/connections-optimizer - content-creation-publisher
auc/skill_library/bundled/content-creation-publisher - content-engine
auc/skill_library/bundled/content-engine - content-hash-cache-pattern
auc/skill_library/bundled/content-hash-cache-pattern - content-research-writer
auc/skill_library/bundled/content-research-writer - context-budget
auc/skill_library/bundled/context-budget - continuous-agent-loop
auc/skill_library/bundled/continuous-agent-loop - continuous-learning
auc/skill_library/bundled/continuous-learning - continuous-learning-v2
auc/skill_library/bundled/continuous-learning-v2 - contract-review
auc/skill_library/bundled/contract-review - cost-aware-llm-pipeline
auc/skill_library/bundled/cost-aware-llm-pipeline - cost-tracking
auc/skill_library/bundled/cost-tracking - council
auc/skill_library/bundled/council - cpp-coding-standards
auc/skill_library/bundled/cpp-coding-standards - cpp-testing
auc/skill_library/bundled/cpp-testing - crosspost
auc/skill_library/bundled/crosspost - csharp-testing
auc/skill_library/bundled/csharp-testing - customer-billing-ops
auc/skill_library/bundled/customer-billing-ops - customs-trade-compliance
auc/skill_library/bundled/customs-trade-compliance - dart-flutter-patterns
auc/skill_library/bundled/dart-flutter-patterns - dashboard-builder
auc/skill_library/bundled/dashboard-builder - data-scraper-agent
auc/skill_library/bundled/data-scraper-agent - data-storytelling
auc/skill_library/bundled/data-storytelling - data-throughput-accelerator
auc/skill_library/bundled/data-throughput-accelerator - database-migrations
auc/skill_library/bundled/database-migrations - deep-research
auc/skill_library/bundled/deep-research - defi-amm-security
auc/skill_library/bundled/defi-amm-security - delivery-gate
auc/skill_library/bundled/delivery-gate - deployment-patterns
auc/skill_library/bundled/deployment-patterns - design-system
auc/skill_library/bundled/design-system - diagnosing-bugs
auc/skill_library/bundled/diagnosing-bugs - digital-avatar-shopping-video
auc/skill_library/bundled/digital-avatar-shopping-video - dispatching-parallel-agents
auc/skill_library/bundled/dispatching-parallel-agents - django-celery
auc/skill_library/bundled/django-celery - django-patterns
auc/skill_library/bundled/django-patterns - django-security
auc/skill_library/bundled/django-security - django-tdd
auc/skill_library/bundled/django-tdd - django-verification
auc/skill_library/bundled/django-verification - dmux-workflows
auc/skill_library/bundled/dmux-workflows - doc-coauthoring
auc/skill_library/bundled/doc-coauthoring - docker-patterns
auc/skill_library/bundled/docker-patterns - documentation-lookup
auc/skill_library/bundled/documentation-lookup - docx
auc/skill_library/bundled/docx - domain-modeling
auc/skill_library/bundled/domain-modeling - dotnet-patterns
auc/skill_library/bundled/dotnet-patterns - dream-video-prompt-generator
auc/skill_library/bundled/dream-video-prompt-generator - dynamic-workflow-mode
auc/skill_library/bundled/dynamic-workflow-mode - e2e-testing
auc/skill_library/bundled/e2e-testing - ecc-guide
auc/skill_library/bundled/ecc-guide - ecc-recipes
auc/skill_library/bundled/ecc-recipes - ecc-tools-cost-audit
auc/skill_library/bundled/ecc-tools-cost-audit - ecommerce-copywriter
auc/skill_library/bundled/ecommerce-copywriter - ecommerce-video-marketing
auc/skill_library/bundled/ecommerce-video-marketing - edit-article
auc/skill_library/bundled/edit-article - email-ops
auc/skill_library/bundled/email-ops - energy-procurement
auc/skill_library/bundled/energy-procurement - enterprise-agent-ops
auc/skill_library/bundled/enterprise-agent-ops - error-handling
auc/skill_library/bundled/error-handling - eval-harness
auc/skill_library/bundled/eval-harness - evm-token-decimals
auc/skill_library/bundled/evm-token-decimals - exa-search
auc/skill_library/bundled/exa-search - executing-plans
auc/skill_library/bundled/executing-plans - fal-ai-media
auc/skill_library/bundled/fal-ai-media - fastapi-patterns
auc/skill_library/bundled/fastapi-patterns - finance-billing-ops
auc/skill_library/bundled/finance-billing-ops - finishing-a-development-branch
auc/skill_library/bundled/finishing-a-development-branch - flox-environments
auc/skill_library/bundled/flox-environments - flutter-dart-code-review
auc/skill_library/bundled/flutter-dart-code-review - foundation-models-on-device
auc/skill_library/bundled/foundation-models-on-device - frontend-a11y
auc/skill_library/bundled/frontend-a11y - frontend-design
auc/skill_library/bundled/frontend-design - frontend-design-direction
auc/skill_library/bundled/frontend-design-direction - frontend-patterns
auc/skill_library/bundled/frontend-patterns - frontend-slides
auc/skill_library/bundled/frontend-slides - fsharp-testing
auc/skill_library/bundled/fsharp-testing - gan-style-harness
auc/skill_library/bundled/gan-style-harness - gateguard
auc/skill_library/bundled/gateguard - generating-python-installer
auc/skill_library/bundled/generating-python-installer - gget
auc/skill_library/bundled/gget - git-guardrails-claude-code
auc/skill_library/bundled/git-guardrails-claude-code - git-workflow
auc/skill_library/bundled/git-workflow - github-ops
auc/skill_library/bundled/github-ops - golang-patterns
auc/skill_library/bundled/golang-patterns - golang-testing
auc/skill_library/bundled/golang-testing - google-workspace-ops
auc/skill_library/bundled/google-workspace-ops - grill-me
auc/skill_library/bundled/grill-me - grill-with-docs
auc/skill_library/bundled/grill-with-docs - grilling
auc/skill_library/bundled/grilling - growth-log
auc/skill_library/bundled/growth-log - handoff
auc/skill_library/bundled/handoff - healthcare-cdss-patterns
auc/skill_library/bundled/healthcare-cdss-patterns - healthcare-emr-patterns
auc/skill_library/bundled/healthcare-emr-patterns - healthcare-eval-harness
auc/skill_library/bundled/healthcare-eval-harness - healthcare-phi-compliance
auc/skill_library/bundled/healthcare-phi-compliance - hermes-imports
auc/skill_library/bundled/hermes-imports - hexagonal-architecture
auc/skill_library/bundled/hexagonal-architecture - hipaa-compliance
auc/skill_library/bundled/hipaa-compliance - historical-interview-scripts
auc/skill_library/bundled/historical-interview-scripts - historical-science-video-prod
auc/skill_library/bundled/historical-science-video-prod - homelab-network-readiness
auc/skill_library/bundled/homelab-network-readiness - homelab-network-setup
auc/skill_library/bundled/homelab-network-setup - homelab-pihole-dns
auc/skill_library/bundled/homelab-pihole-dns - homelab-vlan-segmentation
auc/skill_library/bundled/homelab-vlan-segmentation - homelab-wireguard-vpn
auc/skill_library/bundled/homelab-wireguard-vpn - hookify-rules
auc/skill_library/bundled/hookify-rules - implement
auc/skill_library/bundled/implement - improve-codebase-architecture
auc/skill_library/bundled/improve-codebase-architecture - infinitetalk
auc/skill_library/bundled/infinitetalk - infinitetalk
auc/skill_library/bundled/infinitetalk-infinitetalk - infinitetalk-shopping-avatar
auc/skill_library/bundled/infinitetalk-shopping-avatar - inherit-legacy-style
auc/skill_library/bundled/inherit-legacy-style - intelligent-content-system
auc/skill_library/bundled/intelligent-content-system - intent-driven-development
auc/skill_library/bundled/intent-driven-development - internal-comms
auc/skill_library/bundled/internal-comms - inventory-demand-planning
auc/skill_library/bundled/inventory-demand-planning - investor-materials
auc/skill_library/bundled/investor-materials - investor-outreach
auc/skill_library/bundled/investor-outreach - ios-icon-gen
auc/skill_library/bundled/ios-icon-gen - iterative-retrieval
auc/skill_library/bundled/iterative-retrieval - ito-basket-compare
auc/skill_library/bundled/ito-basket-compare - ito-data-atlas-agent
auc/skill_library/bundled/ito-data-atlas-agent - ito-market-intelligence
auc/skill_library/bundled/ito-market-intelligence - ito-trade-planner
auc/skill_library/bundled/ito-trade-planner - java-coding-standards
auc/skill_library/bundled/java-coding-standards - jira-integration
auc/skill_library/bundled/jira-integration - jpa-patterns
auc/skill_library/bundled/jpa-patterns - json-canvas
auc/skill_library/bundled/json-canvas - karpathy-guidelines
auc/skill_library/bundled/karpathy-guidelines - knowledge-ops
auc/skill_library/bundled/knowledge-ops - kotlin-coroutines-flows
auc/skill_library/bundled/kotlin-coroutines-flows - kotlin-exposed-patterns
auc/skill_library/bundled/kotlin-exposed-patterns - kotlin-ktor-patterns
auc/skill_library/bundled/kotlin-ktor-patterns - kotlin-patterns
auc/skill_library/bundled/kotlin-patterns - kotlin-testing
auc/skill_library/bundled/kotlin-testing - kubernetes-patterns
auc/skill_library/bundled/kubernetes-patterns - laravel-patterns
auc/skill_library/bundled/laravel-patterns - laravel-plugin-discovery
auc/skill_library/bundled/laravel-plugin-discovery - laravel-security
auc/skill_library/bundled/laravel-security - laravel-tdd
auc/skill_library/bundled/laravel-tdd - laravel-verification
auc/skill_library/bundled/laravel-verification - latency-critical-systems
auc/skill_library/bundled/latency-critical-systems - law-to-markdown
auc/skill_library/bundled/law-to-markdown - lead-intelligence
auc/skill_library/bundled/lead-intelligence - liquid-glass-design
auc/skill_library/bundled/liquid-glass-design - literature-review
auc/skill_library/bundled/literature-review - llm-trading-agent-security
auc/skill_library/bundled/llm-trading-agent-security - logistics-exception-management
auc/skill_library/bundled/logistics-exception-management - loop-me
auc/skill_library/bundled/loop-me - mailtrap-email-integration
auc/skill_library/bundled/mailtrap-email-integration - make-interfaces-feel-better
auc/skill_library/bundled/make-interfaces-feel-better - manim-video
auc/skill_library/bundled/manim-video - market-research
auc/skill_library/bundled/market-research - marketing-campaign
auc/skill_library/bundled/marketing-campaign - mcp-builder
auc/skill_library/bundled/mcp-builder - mcp-server-patterns
auc/skill_library/bundled/mcp-server-patterns - media-processor
auc/skill_library/bundled/media-processor - messages-ops
auc/skill_library/bundled/messages-ops - migrate-to-shoehorn
auc/skill_library/bundled/migrate-to-shoehorn - ml-adoption-playbook
auc/skill_library/bundled/ml-adoption-playbook - mle-workflow
auc/skill_library/bundled/mle-workflow - moltbook
auc/skill_library/bundled/moltbook - motion-advanced
auc/skill_library/bundled/motion-advanced - motion-foundations
auc/skill_library/bundled/motion-foundations - motion-patterns
auc/skill_library/bundled/motion-patterns - motion-ui
auc/skill_library/bundled/motion-ui - multi-agent-meeting
auc/skill_library/bundled/multi-agent-meeting - mysql-patterns
auc/skill_library/bundled/mysql-patterns - nanobanana-ppt-visualizer
auc/skill_library/bundled/nanobanana-ppt-visualizer - nanoclaw-repl
auc/skill_library/bundled/nanoclaw-repl - nestjs-patterns
auc/skill_library/bundled/nestjs-patterns - netmiko-ssh-automation
auc/skill_library/bundled/netmiko-ssh-automation - network-bgp-diagnostics
auc/skill_library/bundled/network-bgp-diagnostics - network-config-validation
auc/skill_library/bundled/network-config-validation - network-interface-health
auc/skill_library/bundled/network-interface-health - nextjs-turbopack
auc/skill_library/bundled/nextjs-turbopack - nodejs-keccak256
auc/skill_library/bundled/nodejs-keccak256 - nutrient-document-processing
auc/skill_library/bundled/nutrient-document-processing - nuxt4-patterns
auc/skill_library/bundled/nuxt4-patterns - obsidian-bases
auc/skill_library/bundled/obsidian-bases - obsidian-markdown
auc/skill_library/bundled/obsidian-markdown - obsidian-vault
auc/skill_library/bundled/obsidian-vault - openclaw-persona-forge
auc/skill_library/bundled/openclaw-persona-forge - opensource-pipeline
auc/skill_library/bundled/opensource-pipeline - orch-add-feature
auc/skill_library/bundled/orch-add-feature - orch-build-mvp
auc/skill_library/bundled/orch-build-mvp - orch-change-feature
auc/skill_library/bundled/orch-change-feature - orch-fix-defect
auc/skill_library/bundled/orch-fix-defect - orch-pipeline
auc/skill_library/bundled/orch-pipeline - orch-refine-code
auc/skill_library/bundled/orch-refine-code - paper-analysis-assistant
auc/skill_library/bundled/paper-analysis-assistant - parallel-execution-optimizer
auc/skill_library/bundled/parallel-execution-optimizer - pdf
auc/skill_library/bundled/pdf - PDF Processing Pro
auc/skill_library/bundled/pdf-processing-pro - perl-patterns
auc/skill_library/bundled/perl-patterns - perl-security
auc/skill_library/bundled/perl-security - perl-testing
auc/skill_library/bundled/perl-testing - pet-commerce-creator
auc/skill_library/bundled/pet-commerce-creator - plan-canvas
auc/skill_library/bundled/plan-canvas - plan-orchestrate
auc/skill_library/bundled/plan-orchestrate - plankton-code-quality
auc/skill_library/bundled/plankton-code-quality - poetry-music-visual
auc/skill_library/bundled/poetry-music-visual - pop-up-book-illustration
auc/skill_library/bundled/pop-up-book-illustration - postgres-patterns
auc/skill_library/bundled/postgres-patterns - ppt-generator
auc/skill_library/bundled/ppt-generator - ppt-roadshow-generator
auc/skill_library/bundled/ppt-roadshow-generator - pptx
auc/skill_library/bundled/pptx - pptx-generator
auc/skill_library/bundled/pptx-generator - prediction-market-oracle-research
auc/skill_library/bundled/prediction-market-oracle-research - prediction-market-risk-review
auc/skill_library/bundled/prediction-market-risk-review - prisma-patterns
auc/skill_library/bundled/prisma-patterns - product-capability
auc/skill_library/bundled/product-capability - product-lens
auc/skill_library/bundled/product-lens - product-manager-toolkit
auc/skill_library/bundled/product-manager-toolkit - product-marketing-copywriter
auc/skill_library/bundled/product-marketing-copywriter - product-video-creator
auc/skill_library/bundled/product-video-creator - production-audit
auc/skill_library/bundled/production-audit - production-scheduling
auc/skill_library/bundled/production-scheduling - project-flow-ops
auc/skill_library/bundled/project-flow-ops - prompt-optimizer
auc/skill_library/bundled/prompt-optimizer - prototype
auc/skill_library/bundled/prototype - pubmed-database
auc/skill_library/bundled/pubmed-database - python-patterns
auc/skill_library/bundled/python-patterns - python-testing
auc/skill_library/bundled/python-testing - pytorch-patterns
auc/skill_library/bundled/pytorch-patterns - quality-nonconformance
auc/skill_library/bundled/quality-nonconformance - quarkus-patterns
auc/skill_library/bundled/quarkus-patterns - quarkus-security
auc/skill_library/bundled/quarkus-security - quarkus-tdd
auc/skill_library/bundled/quarkus-tdd - quarkus-verification
auc/skill_library/bundled/quarkus-verification - qwen3-asr-assistant
auc/skill_library/bundled/qwen3-asr-assistant - qwen3-tts-local
auc/skill_library/bundled/qwen3-tts-local - ralphinho-rfc-pipeline
auc/skill_library/bundled/ralphinho-rfc-pipeline - react-native-patterns
auc/skill_library/bundled/react-native-patterns - react-patterns
auc/skill_library/bundled/react-patterns - react-performance
auc/skill_library/bundled/react-performance - react-testing
auc/skill_library/bundled/react-testing - receiving-code-review
auc/skill_library/bundled/receiving-code-review - recsys-pipeline-architect
auc/skill_library/bundled/recsys-pipeline-architect - recursive-decision-ledger
auc/skill_library/bundled/recursive-decision-ledger - redis-patterns
auc/skill_library/bundled/redis-patterns - regex-vs-llm-structured-text
auc/skill_library/bundled/regex-vs-llm-structured-text - remotion-video-creation
auc/skill_library/bundled/remotion-video-creation - remotion-video-enhancer
auc/skill_library/bundled/remotion-video-enhancer - repo-scan
auc/skill_library/bundled/repo-scan - requesting-code-review
auc/skill_library/bundled/requesting-code-review - research
auc/skill_library/bundled/research - research-ops
auc/skill_library/bundled/research-ops - resolving-merge-conflicts
auc/skill_library/bundled/resolving-merge-conflicts - returns-reverse-logistics
auc/skill_library/bundled/returns-reverse-logistics - rules-distill
auc/skill_library/bundled/rules-distill - rust-patterns
auc/skill_library/bundled/rust-patterns - rust-testing
auc/skill_library/bundled/rust-testing - safety-guard
auc/skill_library/bundled/safety-guard - santa-method
auc/skill_library/bundled/santa-method - scaffold-exercises
auc/skill_library/bundled/scaffold-exercises - scholar-evaluation
auc/skill_library/bundled/scholar-evaluation - search-first
auc/skill_library/bundled/search-first - security-bounty-hunter
auc/skill_library/bundled/security-bounty-hunter - security-review
auc/skill_library/bundled/security-review - security-scan
auc/skill_library/bundled/security-scan - seo
auc/skill_library/bundled/seo - setup-matt-pocock-skills
auc/skill_library/bundled/setup-matt-pocock-skills - setup-pre-commit
auc/skill_library/bundled/setup-pre-commit - skill-comply
auc/skill_library/bundled/skill-comply - skill-creator
auc/skill_library/bundled/skill-creator - skill-scout
auc/skill_library/bundled/skill-scout - skill-stocktake
auc/skill_library/bundled/skill-stocktake - slack-gif-creator
auc/skill_library/bundled/slack-gif-creator - social-graph-ranker
auc/skill_library/bundled/social-graph-ranker - social-publisher
auc/skill_library/bundled/social-publisher - springboot-patterns
auc/skill_library/bundled/springboot-patterns - springboot-security
auc/skill_library/bundled/springboot-security - springboot-tdd
auc/skill_library/bundled/springboot-tdd - springboot-verification
auc/skill_library/bundled/springboot-verification - stock-analysis
auc/skill_library/bundled/stock-analysis - strategic-compact
auc/skill_library/bundled/strategic-compact - subagent-driven-development
auc/skill_library/bundled/subagent-driven-development - swift-actor-persistence
auc/skill_library/bundled/swift-actor-persistence - swift-concurrency-6-2
auc/skill_library/bundled/swift-concurrency-6-2 - swift-protocol-di-testing
auc/skill_library/bundled/swift-protocol-di-testing - swiftui-patterns
auc/skill_library/bundled/swiftui-patterns - systematic-debugging
auc/skill_library/bundled/systematic-debugging - tailored-resume-generator
auc/skill_library/bundled/tailored-resume-generator - taste
auc/skill_library/bundled/taste - tdd
auc/skill_library/bundled/tdd - tdd-workflow
auc/skill_library/bundled/tdd-workflow - teach
auc/skill_library/bundled/teach - team-agent-orchestration
auc/skill_library/bundled/team-agent-orchestration - team-builder
auc/skill_library/bundled/team-builder - terminal-ops
auc/skill_library/bundled/terminal-ops - test-driven-development
auc/skill_library/bundled/test-driven-development - theme-factory
auc/skill_library/bundled/theme-factory - three-body-video-creator
auc/skill_library/bundled/three-body-video-creator - tinystruct-patterns
auc/skill_library/bundled/tinystruct-patterns - to-spec
auc/skill_library/bundled/to-spec - to-tickets
auc/skill_library/bundled/to-tickets - token-budget-advisor
auc/skill_library/bundled/token-budget-advisor - triage
auc/skill_library/bundled/triage - tts-voice-synthesis
auc/skill_library/bundled/tts-voice-synthesis - ui-demo
auc/skill_library/bundled/ui-demo - ui-to-vue
auc/skill_library/bundled/ui-to-vue - ui-ux-pro-max
auc/skill_library/bundled/ui-ux-pro-max - uncloud
auc/skill_library/bundled/uncloud - unified-notifications-ops
auc/skill_library/bundled/unified-notifications-ops - using-git-worktrees
auc/skill_library/bundled/using-git-worktrees - using-superpowers
auc/skill_library/bundled/using-superpowers - uspto-database
auc/skill_library/bundled/uspto-database - verification-before-completion
auc/skill_library/bundled/verification-before-completion - verification-loop
auc/skill_library/bundled/verification-loop - video-creation-collaborator
auc/skill_library/bundled/video-creation-collaborator - video-creation-pro
auc/skill_library/bundled/video-creation-pro - video-creation-suite
auc/skill_library/bundled/video-creation-suite - video-editing
auc/skill_library/bundled/video-editing - video-frame-extractor
auc/skill_library/bundled/video-frame-extractor - video-recreation
auc/skill_library/bundled/video-recreation - video-transcript-downloader
auc/skill_library/bundled/video-transcript-downloader - videodb
auc/skill_library/bundled/videodb - viral-video-copywriting
auc/skill_library/bundled/viral-video-copywriting - visa-doc-translate
auc/skill_library/bundled/visa-doc-translate - vite-patterns
auc/skill_library/bundled/vite-patterns - vue-patterns
auc/skill_library/bundled/vue-patterns - wayfinder
auc/skill_library/bundled/wayfinder - web-artifacts-builder
auc/skill_library/bundled/web-artifacts-builder - web-design-analyzer
auc/skill_library/bundled/web-design-analyzer - web-to-app
auc/skill_library/bundled/web-to-app - webapp-testing
auc/skill_library/bundled/webapp-testing - wechat-hotspot-publisher
auc/skill_library/bundled/wechat-hotspot-publisher - wechatsync-publisher
auc/skill_library/bundled/wechatsync-publisher - windows-desktop-e2e
auc/skill_library/bundled/windows-desktop-e2e - wizard
auc/skill_library/bundled/wizard - workspace-surface-audit
auc/skill_library/bundled/workspace-surface-audit - writing-beats
auc/skill_library/bundled/writing-beats - writing-fragments
auc/skill_library/bundled/writing-fragments - writing-great-skills
auc/skill_library/bundled/writing-great-skills - writing-plans
auc/skill_library/bundled/writing-plans - writing-shape
auc/skill_library/bundled/writing-shape - writing-skills
auc/skill_library/bundled/writing-skills - x-api
auc/skill_library/bundled/x-api - x-article-publisher
auc/skill_library/bundled/x-article-publisher - x-article-publisher
auc/skill_library/bundled/x-article-publisher-qiaomu-x-article-publisher-g - xiaohongshu-makeup
auc/skill_library/bundled/xiaohongshu-makeup - xiaoyue-companion
auc/skill_library/bundled/xiaoyue-companion - xiaoyue-companion
auc/skill_library/bundled/xiaoyue-companion-companion-simple - xlsx
auc/skill_library/bundled/xlsx
How it works
accessibility
When your agent uses it
Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA standards. Use this skill to generate semantic ARIA for Web and accessibility traits for Web and Native platforms (iOS/Android).
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
1,585 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Core Concepts
- How It Works
- Accessibility Architecture Diagram
- Cross-Platform Mapping
- Examples
- Anti-Patterns to Avoid
- Best Practices Checklist
- References
- Related Skills
Files
SKILL.mdcore6,725 bytes
Read SKILL.md
# Accessibility (WCAG 2.2)
This skill ensures that digital interfaces are Perceivable, Operable, Understandable, and Robust (POUR) for all users, including those using screen readers, switch controls, or keyboard navigation. It focuses on the technical implementation of WCAG 2.2 success criteria.
## When to Use
- Defining UI component specifications for Web, iOS, or Android.
- Auditing existing code for accessibility barriers or compliance gaps.
- Implementing new WCAG 2.2 standards like Target Size (Minimum) and Focus Appearance.
- Mapping high-level design requirements to technical attributes (ARIA roles, traits, hints).
## Core Concepts
- **POUR Principles**: The foundation of WCAG (Perceivable, Operable, Understandable, Robust).
- **Semantic Mapping**: Using native elements over generic containers to provide built-in accessibility.View the complete source on GitHubagent-architecture-audit
When your agent uses it
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.
What it loads into context
Frontmatter
179 tokensAlways available to the agent
SKILL.md
2,385 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- The 12-Layer Stack
- Common Failure Patterns
- Audit Workflow
- Severity Model
- Output Format
- Quick Diagnostic Questions
- Anti-Patterns to Avoid
- Report Schema
- Related Skills
Files
SKILL.mdcore10,427 bytesSKILL.mdcore10,427 bytes
Read SKILL.md
# Agent Architecture Audit
A diagnostic workflow for agent systems that hide failures behind wrapper layers, stale memory, retry loops, or transport/rendering mutations.
## When to Activate
**MANDATORY for:**
- Releasing any agent or LLM-powered application to production
- Shipping features with tool calling, memory, or multi-step workflows
- Agent behavior degrades after adding wrapper layers
- User reports "the agent is getting worse" or "tools are flaky"
- Same model works in playground but breaks inside your wrapper
- Debugging agent behavior for more than 15 minutes without finding root cause
**Especially critical when:**View the complete source on GitHubagent-eval
When your agent uses it
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Installation
- Core Concepts
- Workflow
- Judge Types
- Best Practices
- Links
Files
SKILL.mdcore4,769 bytesSKILL.mdcore4,769 bytesSKILL.mdcore4,769 bytesSKILL.mdcore4,769 bytes
Read SKILL.md
# Agent Eval Skill
A lightweight CLI tool for comparing coding agents head-to-head on reproducible tasks. Every "which coding agent is best?" comparison runs on vibes — this tool systematizes it.
## When to Activate
- Comparing coding agents (Claude Code, Aider, Codex, etc.) on your own codebase
- Measuring agent performance before adopting a new tool or model
- Running regression checks when an agent updates its model or tooling
- Producing data-backed agent selection decisions for a team
## Installation
> **Note:** Install agent-eval from its repository after reviewing the source.
View the complete source on GitHubagent-harness-construction
When your agent uses it
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
517 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Model
- Action Space Design
- Granularity Rules
- Observation Design
- Error Recovery Contract
- Context Budgeting
- Architecture Pattern Guidance
- Benchmarking
- Anti-Patterns
Files
SKILL.mdcore2,356 bytes
Read SKILL.md
# Agent Harness Construction
Use this skill when you are improving how an agent plans, calls tools, recovers from errors, and converges on completion.
## Core Model
Agent output quality is constrained by:
1. Action space quality
2. Observation quality
3. Recovery quality
4. Context budget quality
## Action Space Design
1. Use stable, explicit tool names.View the complete source on GitHubagent-introspection-debugging
When your agent uses it
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,233 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Scope Boundaries
- Four-Phase Loop
- Recovery Heuristics
- Integration with ECC
- Output Standard
Files
SKILL.mdcore5,881 bytesSKILL.mdcore5,881 bytes
Read SKILL.md
# Agent Introspection Debugging
Use this skill when an agent run is failing repeatedly, consuming tokens without progress, looping on the same tools, or drifting away from the intended task.
This is a workflow skill, not a hidden runtime. It teaches the agent to debug itself systematically before escalating to a human.
## When to Activate
- Maximum tool call / loop-limit failures
- Repeated retries with no forward progress
- Context growth or prompt drift that starts degrading output quality
- File-system or environment state mismatch between expectation and reality
- Tool failures that are likely recoverable with diagnosis and a smaller corrective action
## Scope BoundariesView the complete source on GitHubagent-payment-x402
When your agent uses it
Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,613 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Decision Tree
- Supported Networks
- How It Works
- MCP Integration
- Examples
- Best Practices
- Production Reference
Files
SKILL.mdcore10,890 bytes
Read SKILL.md
# Agent Payment Execution (x402)
Enable AI agents to make policy-gated payments with built-in spending controls. Uses the x402 HTTP payment protocol and MCP tools so agents can pay for external services, APIs, or other agents without custodial risk.
## When to Use
Use when: your agent needs to pay for an API call, purchase a service, settle with another agent, enforce per-task spending limits, or manage a non-custodial wallet. Pairs naturally with cost-aware-llm-pipeline and security-review skills.
## Decision Tree
Choose the integration path based on whether your agent is buying access to a paid API or charging others for one:
| Need | Recommended path |
|------|------------------|
| Agent pays a 402-gated API on Base or another agentwallet-supported chain | Use `agentwallet-sdk` as an MCP payment server with strict spending policy |View the complete source on GitHubagent-self-evaluation
When your agent uses it
Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
What it loads into context
Frontmatter
168 tokensAlways available to the agent
SKILL.md
1,864 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Workflow
- Code Examples
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Agent Self-Evaluation
After completing a complex task, the agent pauses to rate its own output against a structured 5-axis rubric. This is NOT a pass/fail gate — it's a deliberate reflection step that catches omissions, flags overconfidence, and surface areas for improvement before the user has to.
## When to Activate
- After writing code that spans 3+ files or 50+ lines
- After completing a multi-step workflow (implement → test → review)
- After a debugging session that involved 3+ attempts
- After producing a design document, architecture decision, or written analysis
- When the user asks "how good was that?" or "rate yourself"
- At the end of any session Stop hook (if configured — see `references/hook-integration.md`)
## Core Concepts
View the complete source on GitHubagent-sort
When your agent uses it
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
1,404 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Non-Negotiable Rules
- Outputs
- Classification Model
- Evidence Sources
- Parallel Review Passes
- Core Workflow
- Handoffs
- Output Format
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# Agent Sort
Use this skill when a repo needs a project-specific ECC surface instead of the default full install.
The goal is not to guess what "feels useful." The goal is to classify ECC components with evidence from the actual codebase.
## When to Use
- A project only needs a subset of ECC and full installs are too noisy
- The repo stack is clear, but nobody wants to hand-curate skills one by one
- A team wants a repeatable install decision backed by grep evidence instead of opinion
- You need to separate always-loaded daily workflow surfaces from searchable library/reference surfaces
- A repo has drifted into the wrong language, rule, or hook set and needs cleanup
## Non-Negotiable RulesView the complete source on GitHubagent-team
When your agent uses it
统一管理多智能体角色的团队协作框架,支持智能体动态组合、灵活协作和扩展新角色。智能体本质上是"角色定义",可以根据任务需求灵活组建团队,实现从会议决策到系统构建的完整能力。智能体角色明确分工:有干活的、有指挥的、有挑毛病的,能实时看到沟通过程,共享数据库记忆,确保上下文一致。
What it loads into context
Frontmatter
260 tokensAlways available to the agent
SKILL.md
5,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 核心概念:忙碌的AI团队公司
- 智能体分类
- 快速启动
- 智能体协作流程
- 共享数据库记忆
- 扩展新智能体
- 资源索引
- 操作步骤
- 使用示例
- 注意事项
- 适用场景
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# 智能体团队协作框架
## 任务目标
- 本Skill用于:统一管理和灵活组合多个智能体角色,组建任务导向的智能体团队
- 能力包含:智能体注册、动态组队、协作流程、角色扩展、共享记忆、实时沟通
- 触发条件:当需要多个智能体协同完成任务时,或需要管理特定场景的智能体组合时
## 核心概念:忙碌的AI团队公司
### 智能体即角色
每个智能体是一个独立的角色,具备:
- **角色定位**:明确的职责和专业领域
- **能力特征**:专业知识和性格特点
- **协作接口**:与其他智能体协作的方式View the complete source on GitHubagentic-engineering
When your agent uses it
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
450 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Operating Principles
- Eval-First Loop
- Task Decomposition
- Model Routing
- Session Strategy
- Review Focus for AI-Generated Code
- Cost Discipline
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# Agentic Engineering
Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.
## Operating Principles
1. Define completion criteria before execution.
2. Decompose work into agent-sized units.
3. Route model tiers by task complexity.
4. Measure with evals and regression checks.
## Eval-First Loop
1. Define capability eval and regression eval.
2. Run baseline and capture failure signatures.View the complete source on GitHubagentic-os
When your agent uses it
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
3,055 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Architecture Overview
- The Kernel
- Specialist Agents
- Commands and Daily Workflows
- Persistent Memory
- Scheduled Automation
- Data Layer
- Anti-Patterns
- Best Practices
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# Agentic OS
Treat Claude Code as a persistent runtime / operating system rather than a chat session. This skill codifies the architecture used by production agentic setups: a kernel config that routes tasks to specialist agents, persistent file-based memory, scheduled automation, and a JSON/markdown data layer.
## When to Activate
- Building a multi-agent workflow inside Claude Code
- Setting up persistent Claude Code automation that survives session restarts
- Creating a "personal OS" or "agentic OS" for recurring tasks
- User says "agentic OS", "personal OS", "multi-agent", "agent coordinator", "persistent agent"
- Structuring long-running projects where context must survive across sessions
## Architecture Overview
The Agentic OS has four layers. Each layer is a directory in your project root.View the complete source on GitHubagentkit-multimedia-shopping
When your agent uses it
基于ByteDance agentkit-samples多媒体用例的小省导购员数字人带货视频生成技能,整合多模态内容生成能力(图像、视频、音频),支持AI绘画、语音合成、视频生成,与小省导购员人设融合,9:16竖屏适配,直接对接带货视频生成流程
What it loads into context
Frontmatter
224 tokensAlways available to the agent
SKILL.md
2,241 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
- 工作流总结
- 与InfiniteTalk的协同
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# AgentKit多媒体小省导购员数字人带货
## 任务目标
- 本技能用于:基于ByteDance agentkit-samples多媒体用例,生成小省导购员数字人带货视频的多模态内容
- 能力包含:
- AI绘画生成(小省导购员角色形象、场景背景)
- 语音合成(导购员语音、背景音乐)
- 视频生成(多模态组合)
- 工作流编排(图像→音频→视频→成片)
- 触发条件:用户需要生成小省导购员数字人带货视频,使用agentkit-samples的多媒体能力
## 前置准备
### 依赖说明
本技能依赖以下Python包:View the complete source on GitHubai-first-engineering
When your agent uses it
Engineering operating model for teams where AI agents generate a large share of implementation output.
What it loads into context
Frontmatter
121 tokensAlways available to the agent
SKILL.md
342 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process Shifts
- Architecture Requirements
- Code Review in AI-First Teams
- Hiring and Evaluation Signals
- Testing Standard
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# AI-First Engineering
Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
## Process Shifts
1. Planning quality matters more than typing speed.
2. Eval coverage matters more than anecdotal confidence.
3. Review focus shifts from syntax to system behavior.
## Architecture Requirements
Prefer architectures that are agent-friendly:
- explicit boundaries
- stable contractsView the complete source on GitHubai-regression-testing
When your agent uses it
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,850 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- The Core Problem
- Sandbox-Mode API Testing
- Integrating Tests into Bug-Check Workflow
- Common AI Regression Patterns
- Strategy: Test Where Bugs Were Found
- Quick Reference
- DO / DON'T
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# AI Regression Testing
Testing patterns specifically designed for AI-assisted development, where the same model writes code and reviews it — creating systematic blind spots that only automated tests can catch.
## When to Activate
- AI agent (Claude Code, Cursor, Codex) has modified API routes or backend logic
- A bug was found and fixed — need to prevent re-introduction
- Project has a sandbox/mock mode that can be leveraged for DB-free testing
- Running `/bug-check` or similar review commands after code changes
- Multiple code paths exist (sandbox vs production, feature flags, etc.)
## The Core Problem
When an AI writes code and then reviews its own work, it carries the same assumptions into both steps. This creates a predictable failure pattern:View the complete source on GitHubalgorithmic-art
When your agent uses it
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
4,255 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ALGORITHMIC PHILOSOPHY CREATION
- DEDUCING THE CONCEPTUAL SEED
- P5.JS IMPLEMENTATION
- INTERACTIVE ARTIFACT CREATION
- VARIATIONS & EXPLORATION
- THE CREATIVE PROCESS
- RESOURCES
Files
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Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
This happens in two steps:
1. Algorithmic Philosophy Creation (.md file)
2. Express by creating p5.js generative art (.html + .js files)
First, undertake this task:
## ALGORITHMIC PHILOSOPHY CREATION
To begin, create an ALGORITHMIC PHILOSOPHY (not static images or templates) that will be interpreted through:
- Computational processes, emergent behavior, mathematical beauty
- Seeded randomness, noise fields, organic systems
- Particles, flows, fields, forces
- Parametric variation and controlled chaosView the complete source on GitHubandroid-clean-architecture
When your agent uses it
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
2,091 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Module Structure
- Domain Layer
- Data Layer
- Dependency Injection
- Error Handling
- Convention Plugins (Gradle)
- Anti-Patterns to Avoid
- References
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# Android Clean Architecture
Clean Architecture patterns for Android and KMP projects. Covers module boundaries, dependency inversion, UseCase/Repository patterns, and data layer design with Room, SQLDelight, and Ktor.
## When to Activate
- Structuring Android or KMP project modules
- Implementing UseCases, Repositories, or DataSources
- Designing data flow between layers (domain, data, presentation)
- Setting up dependency injection with Koin or Hilt
- Working with Room, SQLDelight, or Ktor in a layered architecture
## Module Structure
### Recommended LayoutView the complete source on GitHubangular-developer
When your agent uses it
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
2,499 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Creating New Projects
- Components
- Reactivity and Data Management
- Forms
- Dependency Injection
- Angular Aria
- Routing
- Styling and Animations
- Testing
- Tooling
- Anti-Patterns
- Related Skills
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# Angular Developer Guidelines
## When to Activate
- Working in any Angular project or codebase
- Creating or scaffolding a new Angular project, application, or library
- Generating components, services, directives, pipes, guards, or resolvers
- Implementing reactivity with Angular Signals, `linkedSignal`, or `resource`
- Working with Angular forms (signal forms, reactive forms, or template-driven)
- Setting up dependency injection, routing, lazy loading, or route guards
- Adding accessibility (ARIA), animations, or component styling
- Writing or debugging Angular-specific tests (unit, component harness, E2E)
- Configuring Angular CLI tooling or the Angular MCP server
1. Always analyze the project's Angular version before providing guidance, as best practices and available features can vary significantly between versions. If creating a new project with Angular CLI, do not specify a version unless prompted by the user.View the complete source on GitHubanthropic-algorithmic-art
When your agent uses it
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
4,259 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ALGORITHMIC PHILOSOPHY CREATION
- DEDUCING THE CONCEPTUAL SEED
- P5.JS IMPLEMENTATION
- INTERACTIVE ARTIFACT CREATION
- VARIATIONS & EXPLORATION
- THE CREATIVE PROCESS
- RESOURCES
Files
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Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).
This happens in two steps:
1. Algorithmic Philosophy Creation (.md file)
2. Express by creating p5.js generative art (.html + .js files)
First, undertake this task:
## ALGORITHMIC PHILOSOPHY CREATION
To begin, create an ALGORITHMIC PHILOSOPHY (not static images or templates) that will be interpreted through:
- Computational processes, emergent behavior, mathematical beauty
- Seeded randomness, noise fields, organic systems
- Particles, flows, fields, forces
- Parametric variation and controlled chaosView the complete source on GitHubanthropic-brand-guidelines
When your agent uses it
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
623 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Brand Guidelines
- Features
- Technical Details
Files
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# Anthropic Brand Styling
## Overview
To access Anthropic's official brand identity and style resources, use this skill.
**Keywords**: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, Anthropic brand, visual formatting, visual design
## Brand Guidelines
### Colors
**Main Colors:**
- Dark: `#141413` - Primary text and dark backgroundsView the complete source on GitHubanthropic-canvas-design
When your agent uses it
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
2,443 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- DESIGN PHILOSOPHY CREATION
- DEDUCING THE SUBTLE REFERENCE
- CANVAS CREATION
- FINAL STEP
- MULTI-PAGE OPTION
Files
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These are instructions for creating design philosophies - aesthetic movements that are then EXPRESSED VISUALLY. Output only .md files, .pdf files, and .png files.
Complete this in two steps:
1. Design Philosophy Creation (.md file)
2. Express by creating it on a canvas (.pdf file or .png file)
First, undertake this task:
## DESIGN PHILOSOPHY CREATION
To begin, create a VISUAL PHILOSOPHY (not layouts or templates) that will be interpreted through:
- Form, space, color, composition
- Images, graphics, shapes, patterns
- Minimal text as visual accent
View the complete source on GitHubanthropic-claude-api
When your agent uses it
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
What it loads into context
Frontmatter
429 tokensAlways available to the agent
SKILL.md
18,768 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Start
- Output Requirement
- Defaults
- ⚠<U+FE0F> API Drift — Your Training Prior May Be Stale
- Subcommands
- Language Detection
- Which Surface Should I Use?
- Architecture
- Current Models (cached: 2026-06-24)
- Authentication (Quick Reference)
- Thinking & Effort (Quick Reference)
- Compaction (Quick Reference)
- Prompt Caching (Quick Reference)
- Fast Mode (Quick Reference)
- Task Budgets (Quick Reference)
- Provider Clients (Quick Reference)
- Context Editing (Quick Reference)
- Mid-Conversation System Messages (Quick Reference)
- Managed Agents (Beta)
- Server Tools (Quick Reference)
- Document & File Input (Quick Reference)
- Tool Use Patterns (Quick Reference)
- Other API Surfaces (Quick Reference)
- Workload Identity Federation (Quick Reference)
- Reading Guide
- When to Use WebFetch
- Common Pitfalls
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# Building LLM-Powered Applications with Claude
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.
## Before You Start
Scan the target file (or, if no target file, the prompt and project) for non-Anthropic provider markers — `import openai`, `from openai`, `langchain_openai`, `OpenAI(`, `gpt-4`, `gpt-5`, file names like `agent-openai.py` or `*-generic.py`, or any explicit instruction to keep the code provider-neutral. If you find any, stop and tell the user that this skill produces Claude/Anthropic SDK code; ask whether they want to switch the file to Claude or want a non-Claude implementation. Do not edit a non-Anthropic file with Anthropic SDK calls.
## Output Requirement
When the user asks you to add, modify, or implement a Claude feature, your code must call Claude through one of:
1. **The official Anthropic SDK** for the project's language (`anthropic`, `@anthropic-ai/sdk`, `com.anthropic.*`, etc.). This is the default whenever a supported SDK exists for the project.
2. **Raw HTTP** (`curl`, `requests`, `fetch`, `httpx`, etc.) — only when the user explicitly asks for cURL/REST/raw HTTP, the project is a shell/cURL project, or the language has no official SDK.
View the complete source on GitHubanthropic-doc-coauthoring
When your agent uses it
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
What it loads into context
Frontmatter
187 tokensAlways available to the agent
SKILL.md
3,361 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Offer This Workflow
- Stage 1: Context Gathering
- Stage 2: Refinement & Structure
- Stage 3: Reader Testing
- Final Review
- Tips for Effective Guidance
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# Doc Co-Authoring Workflow
This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.
## When to Offer This Workflow
**Trigger conditions:**
- User mentions writing documentation: "write a doc", "draft a proposal", "create a spec", "write up"
- User mentions specific doc types: "PRD", "design doc", "decision doc", "RFC"
- User seems to be starting a substantial writing task
**Initial offer:**
Offer the user a structured workflow for co-authoring the document. Explain the three stages:
1. **Context Gathering**: User provides all relevant context while Claude asks clarifying questionsView the complete source on GitHubanthropic-docx
When your agent uses it
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
What it loads into context
Frontmatter
282 tokensAlways available to the agent
SKILL.md
5,803 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Reference
- Creating New Documents
- Editing Existing Documents
- XML Reference
- Dependencies
Files
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# DOCX creation, editing, and analysis
## Overview
A .docx file is a ZIP archive containing XML files.
## Quick Reference
| Task | Approach |
|------|----------|
| Read/analyze content | `pandoc` or unpack for raw XML |
| Create new document | Use `docx-js` - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |
### Converting .doc to .docxView the complete source on GitHubanthropic-frontend-design
When your agent uses it
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
1,745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Ground it in the subject
- Design principles
- Process: brainstorm, explore, plan, critique, build, critique again
- Restraint and self-critique
- More on writing in design
Files
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# Frontend Design
Approach this as the design lead at a small studio known for giving every client a visual identity that could not be mistaken for anyone else's. This client has already rejected proposals that felt templated, and is paying for a distinctive point of view: make deliberate, opinionated choices about palette, typography, and layout that are specific to this brief, and take one real aesthetic risk you can justify.
## Ground it in the subject
If the brief does not pin down what the product or subject is, pin it yourself before designing: name one concrete subject, its audience, and the page's single job, and state your choice. If there's any information in your memory about the human's preferences, context about what they're building, or designs you've made before – use that as a hint. The subject's own world, its materials, instruments, artifacts, and vernacular, is where distinctive choices come from. Build with the brief's real content and subject matter throughout.
## Design principles
For web designs, the hero is a thesis. Open with the most characteristic thing in the subject's world, in whatever form makes sense for it: a headline, an image, an animation, a live demo, an interactive moment. Be deliberate with your choice: a big number with a small label, supporting stats, and a gradient accent is the template answer, only use if that's truly the best option.
Typography carries the personality of the page. Pair the display and body faces deliberately, not the same families you would reach for on any other project, and set a clear type scale with intentional weights, widths, and spacing. Make the type treatment itself a memorable part of the design, not a neutral delivery vehicle for the content.
Structure is information. Structural devices, numbering, eyebrows, dividers, labels, should encode something true about the content, not decorate it. Many generic designs use numbered markers (01 / 02 / 03), but that's only appropriate if the content actually is a sequence - like a real process or a typed timeline where order carries information the reader needs. Question if choices like numbered markers actually make sense before incorporating them.View the complete source on GitHubanthropic-internal-comms
When your agent uses it
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
What it loads into context
Frontmatter
175 tokensAlways available to the agent
SKILL.md
418 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use this skill
- How to use this skill
- Keywords
Files
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## When to use this skill
To write internal communications, use this skill for:
- 3P updates (Progress, Plans, Problems)
- Company newsletters
- FAQ responses
- Status reports
- Leadership updates
- Project updates
- Incident reports
## How to use this skill
To write any internal communication:
1. **Identify the communication type** from the requestView the complete source on GitHubanthropic-mcp-builder
When your agent uses it
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
2,040 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- 🚀 High-Level Workflow
- 📚 Documentation Library
Files
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# MCP Server Development Guide
## Overview
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
---
# Process
## 🚀 High-Level Workflow
Creating a high-quality MCP server involves four main phases:
### Phase 1: Deep Research and PlanningView the complete source on GitHubanthropic-pdf
When your agent uses it
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
What it loads into context
Frontmatter
195 tokensAlways available to the agent
SKILL.md
2,171 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Python Libraries
- Command-Line Tools
- Common Tasks
- Quick Reference
- Next Steps
Files
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# PDF Processing Guide
## Overview
This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.
## Quick Start
```python
from pypdf import PdfReader, PdfWriter
# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")
View the complete source on GitHubanthropic-pptx
When your agent uses it
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
What it loads into context
Frontmatter
263 tokensAlways available to the agent
SKILL.md
2,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- Reading Content
- Editing Workflow
- Creating from Scratch
- Design Ideas
- QA (Required)
- Converting to Images
- Dependencies
Files
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# PPTX Skill
## Quick Reference
| Task | Guide |
|------|-------|
| Read/analyze content | `python -m markitdown presentation.pptx` |
| Edit or create from template | Read [editing.md](editing.md) |
| Create from scratch | Read [pptxgenjs.md](pptxgenjs.md) |
---
## Reading Content
```bashView the complete source on GitHubanthropic-skill-creator
When your agent uses it
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
7,346 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Communicating with the user
- Creating a skill
- Running and evaluating test cases
- Improving the skill
- Advanced: Blind comparison
- Description Optimization
- Claude.ai-specific instructions
- Cowork-Specific Instructions
- Reference files
Files
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# Skill Creator
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
- Decide what you want the skill to do and roughly how it should do it
- Write a draft of the skill
- Create a few test prompts and run claude-with-access-to-the-skill on them
- Help the user evaluate the results both qualitatively and quantitatively
- While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you can either use as is or modify if you feel something needs to change about them). Then explain them to the user (or if they already existed, explain the ones that already exist)
- Use the `eval-viewer/generate_review.py` script to show the user the results for them to look at, and also let them look at the quantitative metrics
- Rewrite the skill based on feedback from the user's evaluation of the results (and also if there are any glaring flaws that become apparent from the quantitative benchmarks)
- Repeat until you're satisfied
- Expand the test set and try again at larger scaleView the complete source on GitHubanthropic-slack-gif-creator
When your agent uses it
Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."
What it loads into context
Frontmatter
169 tokensAlways available to the agent
SKILL.md
2,091 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Slack Requirements
- Core Workflow
- Drawing Graphics
- Available Utilities
- Animation Concepts
- Optimization Strategies
- Philosophy
- Dependencies
Files
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# Slack GIF Creator
A toolkit providing utilities and knowledge for creating animated GIFs optimized for Slack.
## Slack Requirements
**Dimensions:**
- Emoji GIFs: 128x128 (recommended)
- Message GIFs: 480x480
**Parameters:**
- FPS: 10-30 (lower is smaller file size)
- Colors: 48-128 (fewer = smaller file size)
- Duration: Keep under 3 seconds for emoji GIFs
View the complete source on GitHubanthropic-theme-factory
When your agent uses it
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
761 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- Usage Instructions
- Themes Available
- Theme Details
- Application Process
- Create your Own Theme
Files
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# Theme Factory Skill
This skill provides a curated collection of professional font and color themes themes, each with carefully selected color palettes and font pairings. Once a theme is chosen, it can be applied to any artifact.
## Purpose
To apply consistent, professional styling to presentation slide decks, use this skill. Each theme includes:
- A cohesive color palette with hex codes
- Complementary font pairings for headers and body text
- A distinct visual identity suitable for different contexts and audiences
## Usage Instructions
To apply styling to a slide deck or other artifact:
View the complete source on GitHubanthropic-web-artifacts-builder
When your agent uses it
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
What it loads into context
Frontmatter
175 tokensAlways available to the agent
SKILL.md
800 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Design & Style Guidelines
- Quick Start
- Reference
Files
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# Web Artifacts Builder
To build powerful frontend claude.ai artifacts, follow these steps:
1. Initialize the frontend repo using `scripts/init-artifact.sh`
2. Develop your artifact by editing the generated code
3. Bundle all code into a single HTML file using `scripts/bundle-artifact.sh`
4. Display artifact to user
5. (Optional) Test the artifact
**Stack**: React 18 + TypeScript + Vite + Parcel (bundling) + Tailwind CSS + shadcn/ui
## Design & Style Guidelines
VERY IMPORTANT: To avoid what is often referred to as "AI slop", avoid using excessive centered layouts, purple gradients, uniform rounded corners, and Inter font.
View the complete source on GitHubanthropic-webapp-testing
When your agent uses it
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
980 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Decision Tree: Choosing Your Approach
- Example: Using with_server.py
- Reconnaissance-Then-Action Pattern
- Common Pitfall
- Best Practices
- Reference Files
Files
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# Web Application Testing
To test local web applications, write native Python Playwright scripts.
**Helper Scripts Available**:
- `scripts/with_server.py` - Manages server lifecycle (supports multiple servers)
**Always run scripts with `--help` first** to see usage. DO NOT read the source until you try running the script first and find that a customized solution is abslutely necessary. These scripts can be very large and thus pollute your context window. They exist to be called directly as black-box scripts rather than ingested into your context window.
## Decision Tree: Choosing Your Approach
```
User task → Is it static HTML?
├─ Yes → Read HTML file directly to identify selectors
│ ├─ Success → Write Playwright script using selectorsView the complete source on GitHubanthropic-xlsx
When your agent uses it
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
What it loads into context
Frontmatter
326 tokensAlways available to the agent
SKILL.md
2,945 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- All Excel files
- Financial models
- Overview
- Important Requirements
- Reading and analyzing data
- Excel File Workflows
- CRITICAL: Use Formulas, Not Hardcoded Values
- Common Workflow
- Recalculating formulas
- Formula Verification Checklist
- Best Practices
- Code Style Guidelines
Files
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# Requirements for Outputs
## All Excel files
### Professional Font
- Use a consistent, professional font (e.g., Arial, Times New Roman) for all deliverables unless otherwise instructed by the user
### Zero Formula Errors
- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)
### Preserve Existing Templates (when updating templates)
- Study and EXACTLY match existing format, style, and conventions when modifying files
- Never impose standardized formatting on files with established patterns
- Existing template conventions ALWAYS override these guidelines
View the complete source on GitHubapi-connector-builder
When your agent uses it
Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
678 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Guardrails
- Workflow
- Reference Shapes
- Quality Checklist
- Related Skills
Files
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# API Connector Builder
Use this when the job is to add a repo-native integration surface, not just a generic HTTP client.
The point is to match the host repository's pattern:
- connector layout
- config schema
- auth model
- error handling
- test style
- registration/discovery wiring
## When to Use
View the complete source on GitHubapi-design
When your agent uses it
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
3,416 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Resource Design
- HTTP Methods and Status Codes
- Response Format
- Pagination
- Filtering, Sorting, and Search
- Authentication and Authorization
- Rate Limiting
- Versioning
- Implementation Patterns
- API Design Checklist
Files
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# API Design Patterns
Conventions and best practices for designing consistent, developer-friendly REST APIs.
## When to Activate
- Designing new API endpoints
- Reviewing existing API contracts
- Adding pagination, filtering, or sorting
- Implementing error handling for APIs
- Planning API versioning strategy
- Building public or partner-facing APIs
## Resource Design
View the complete source on GitHubarchitecture-decision-records
When your agent uses it
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
What it loads into context
Frontmatter
167 tokensAlways available to the agent
SKILL.md
1,738 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- ADR Format
- Workflow
- Decision Detection Signals
- What Makes a Good ADR
- ADR Lifecycle
- Categories of Decisions Worth Recording
- Integration with Other Skills
Files
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# Architecture Decision Records
Capture architectural decisions as they happen during coding sessions. Instead of decisions living only in Slack threads, PR comments, or someone's memory, this skill produces structured ADR documents that live alongside the code.
## When to Activate
- User explicitly says "let's record this decision" or "ADR this"
- User chooses between significant alternatives (framework, library, pattern, database, API design)
- User says "we decided to..." or "the reason we're doing X instead of Y is..."
- User asks "why did we choose X?" (read existing ADRs)
- During planning phases when architectural trade-offs are discussed
## ADR Format
Use the lightweight ADR format proposed by Michael Nygard, adapted for AI-assisted development:View the complete source on GitHubarticle-illustrator
When your agent uses it
分析文章内容,在需要视觉辅助理解的位置生成插画。配图可以是信息补充、概念具象化,或引导读者想象。当用户要求"给文章配图"、"为文章生成插图"、"添加配图"时使用此技能。
What it loads into context
Frontmatter
202 tokensAlways available to the agent
SKILL.md
1,528 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 触发条件
- 工作流程
- 配图策略
- 资源索引
- 注意事项
Files
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# 文章智能配图
分析文章结构与内容,识别需要视觉辅助的位置,生成风格灵活的配图。
## 任务目标
- 分析文章结构和内容,逐段识别需要配图的位置
- 为每个配图位置生成详细的配图计划和提示词
- 使用图像生成能力创建符合风格规范的插画
- 将图片插入到文章对应位置
## 触发条件
用户明确要求:
- "给文章配图"View the complete source on GitHubarticle-illustrator
When your agent uses it
分析文章内容,在需要视觉辅助理解的位置生成插画。配图可以是信息补充、概念具象化,或引导读者想象。当用户要求"给文章配图"、"为文章生成插图"、"添加配图"时使用此技能。
What it loads into context
Frontmatter
201 tokensAlways available to the agent
SKILL.md
1,527 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 触发条件
- 工作流程
- 配图策略
- 资源索引
- 注意事项
Files
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# 文章智能配图
分析文章结构与内容,识别需要视觉辅助的位置,生成风格灵活的配图。
## 任务目标
- 分析文章结构和内容,逐段识别需要配图的位置
- 为每个配图位置生成详细的配图计划和提示词
- 使用图像生成能力创建符合风格规范的插画
- 将图片插入到文章对应位置
## 触发条件
用户明确要求:
- "给文章配图"View the complete source on GitHubarticle-writing
When your agent uses it
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
704 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Rules
- Voice Handling
- Banned Patterns
- Writing Process
- Structure Guidance
- Quality Gate
Files
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# Article Writing
Write long-form content that sounds like an actual person with a point of view, not an LLM smoothing itself into paste.
## When to Activate
- drafting blog posts, essays, launch posts, guides, tutorials, or newsletter issues
- turning notes, transcripts, or research into polished articles
- matching an existing founder, operator, or brand voice from examples
- tightening structure, pacing, and evidence in already-written long-form copy
## Core Rules
1. Lead with the concrete thing: artifact, example, output, anecdote, number, screenshot, or code.
2. Explain after the example, not before.View the complete source on GitHubask-matt
When your agent uses it
Ask which skill or flow fits your situation. A router over the skills in this repo.
What it loads into context
Frontmatter
115 tokensAlways available to the agent
SKILL.md
1,959 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The main flow: idea → ship
- On-ramps
- Codebase health
- Vocabulary underneath
- Crossing sessions
- Standalone
- Precondition
Files
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# Ask Matt
You don't remember every skill, so ask.
A **flow** is a path through the skills. Most paths run along one **main flow**, and two **on-ramps** merge onto it. Everything else is standalone, or a vocabulary layer that runs underneath.
## The main flow: idea → ship
The route most work travels. You have an idea and want it built.
1. **`/grill-with-docs`** — sharpen the idea by interview. Start here when you **have a codebase**: it's stateful, retaining what it learns in `CONTEXT.md` and ADRs. (No codebase? Use `/grill-me` — see Standalone. Both run the same `/grilling` primitive; `grill-with-docs` is the one that leaves a paper trail.)
2. **Branch — can you settle every question in conversation?** If a question needs a runnable answer (state, business logic, a UI you have to see), detour through a prototype, bridged by **`/handoff`** in both directions (see Crossing sessions):
- **`/handoff`** out, then open a fresh session against that file,
- **`/prototype`** to answer the question with throwaway code,
- **`/handoff`** back what you learned, and reference it from the original idea thread.View the complete source on GitHubautomation-audit-ops
When your agent uses it
Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
1,013 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Stack
- When to Use
- Guardrails
- Workflow
- Output Format
- Pitfalls
- Verification
Files
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# Automation Audit Ops
Use this when the user asks what automations are live, which jobs are broken, where overlap exists, or what tooling and connectors are actually doing useful work right now.
This is an audit-first operator skill. The job is to produce an evidence-backed inventory and a keep / merge / cut / fix-next recommendation set before rewriting anything.
## Skill Stack
Pull these ECC-native skills into the workflow when relevant:
- `workspace-surface-audit` for connector, MCP, hook, and app inventory
- `knowledge-ops` when the audit needs to reconcile live repo truth with durable context
- `github-ops` when the answer depends on CI, scheduled workflows, issues, or PR automation
- `ecc-tools-cost-audit` when the real problem is webhook fanout, queued jobs, or billing burn in the sibling app repo
- `research-ops` when local inventory must be compared against current platform support or public docsView the complete source on GitHubautonomous-agent-harness
When your agent uses it
Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, dispatch, MCP tools, and memory. Use when the user wants continuous autonomous operation, scheduled tasks, or a self-directing agent loop.
What it loads into context
Frontmatter
183 tokensAlways available to the agent
SKILL.md
2,365 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Consent and Safety Boundaries
- When to Activate
- Architecture
- Core Components
- Replacing Hermes
- Setup Guide
- Example Workflows
- Constraints
Files
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# Autonomous Agent Harness
Turn Claude Code into a persistent, self-directing agent system using only native features and MCP servers.
## Consent and Safety Boundaries
Autonomous operation must be explicitly requested and scoped by the user. Do not create schedules, dispatch remote agents, write persistent memory, use computer control, post externally, modify third-party resources, or act on private communications unless the user has approved that capability and the target workspace for the current setup.
Prefer dry-run plans and local queue files before enabling recurring or event-driven actions. Keep credentials, private workspace exports, personal datasets, and account-specific automations out of reusable ECC artifacts.
## When to Activate
- User wants an agent that runs continuously or on a schedule
- Setting up automated workflows that trigger periodically
- Building a personal AI assistant that remembers context across sessionsView the complete source on GitHubautonomous-loops
When your agent uses it
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
What it loads into context
Frontmatter
127 tokensAlways available to the agent
SKILL.md
5,623 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Loop Pattern Spectrum
- 1. Sequential Pipeline (`claude -p`)
- 2. NanoClaw REPL
- 3. Infinite Agentic Loop
- 4. Continuous Claude PR Loop
- 5. The De-Sloppify Pattern
- 6. Ralphinho / RFC-Driven DAG Orchestration
- Choosing the Right Pattern
- Anti-Patterns
- References
Files
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# Autonomous Loops Skill
> Compatibility note (v1.8.0): `autonomous-loops` is retained for one release.
> The canonical skill name is now `continuous-agent-loop`. New loop guidance
> should be authored there, while this skill remains available to avoid
> breaking existing workflows.
Patterns, architectures, and reference implementations for running Claude Code autonomously in loops. Covers everything from simple `claude -p` pipelines to full RFC-driven multi-agent DAG orchestration.
## When to Use
- Setting up autonomous development workflows that run without human intervention
- Choosing the right loop architecture for your problem (simple vs complex)
- Building CI/CD-style continuous development pipelines
- Running parallel agents with merge coordinationView the complete source on GitHubbackend-patterns
When your agent uses it
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
3,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- API Design Patterns
- Database Patterns
- Caching Strategies
- Error Handling Patterns
- Authentication & Authorization
- Rate Limiting
- Background Jobs & Queues
- Logging & Monitoring
Files
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# Backend Development Patterns
Backend architecture patterns and best practices for scalable server-side applications.
## When to Activate
- Designing REST or GraphQL API endpoints
- Implementing repository, service, or controller layers
- Optimizing database queries (N+1, indexing, connection pooling)
- Adding caching (Redis, in-memory, HTTP cache headers)
- Setting up background jobs or async processing
- Structuring error handling and validation for APIs
- Building middleware (auth, logging, rate limiting)
## API Design PatternsView the complete source on GitHubbaoyu-format-markdown
When your agent uses it
Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
2,424 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Script Directory
- Preferences (EXTEND.md)
- Usage
- Workflow
- Formatting Example
- Notes
- Extension Support
Files
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# Markdown Formatter
Transforms plain text or markdown files into well-structured markdown with proper frontmatter, formatting, and typography.
## Script Directory
Scripts in `scripts/` subdirectory. Replace `${SKILL_DIR}` with this SKILL.md's directory path.
| Script | Purpose |
|--------|---------|
| `scripts/main.ts` | Main entry point with CLI options (uses remark-cjk-friendly for CJK emphasis) |
| `scripts/quotes.ts` | Replace ASCII quotes with fullwidth quotes |
| `scripts/autocorrect.ts` | Add CJK/English spacing via autocorrect |
## Preferences (EXTEND.md)View the complete source on GitHubbaoyu-post-to-wechat
When your agent uses it
Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (图文) with multiple images. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "图文/文章".
What it loads into context
Frontmatter
181 tokensAlways available to the agent
SKILL.md
3,392 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Language
- Script Directory
- Preferences (EXTEND.md)
- Image-Text Posting (图文)
- Article Posting Workflow (文章)
- Detailed References
- Feature Comparison
- Prerequisites
- Troubleshooting
- Extension Support
Files
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# Post to WeChat Official Account
## Language
**Match user's language**: Respond in the same language the user uses. If user writes in Chinese, respond in Chinese. If user writes in English, respond in English.
## Script Directory
**Agent Execution**: Determine this SKILL.md directory as `SKILL_DIR`, then use `${SKILL_DIR}/scripts/<name>.ts`.
| Script | Purpose |
|--------|---------|
| `scripts/wechat-browser.ts` | Image-text posts (图文) |
| `scripts/wechat-article.ts` | Article posting via browser (文章) |
| `scripts/wechat-api.ts` | Article posting via API (文章) |View the complete source on GitHubbaoyu-post-to-x
When your agent uses it
Posts content and articles to X (Twitter). Supports regular posts with images/videos and X Articles (long-form Markdown). Uses real Chrome with CDP to bypass anti-automation. Use when user asks to "post to X", "tweet", "publish to Twitter", or "share on X".
What it loads into context
Frontmatter
169 tokensAlways available to the agent
SKILL.md
1,494 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Script Directory
- Preferences (EXTEND.md)
- Prerequisites
- References
- Regular Posts
- Video Posts
- Quote Tweets
- X Articles
- Notes
- Extension Support
Files
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# Post to X (Twitter)
Posts text, images, videos, and long-form articles to X via real Chrome browser (bypasses anti-bot detection).
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**:
1. Determine this SKILL.md file's directory path as `SKILL_DIR`
2. Script path = `${SKILL_DIR}/scripts/<script-name>.ts`
3. Replace all `${SKILL_DIR}` in this document with the actual path
**Script Reference**:
| Script | Purpose |View the complete source on GitHubbaoyu-url-to-markdown
When your agent uses it
Fetch any URL and convert to markdown using Chrome CDP. Supports two modes - auto-capture on page load, or wait for user signal (for pages requiring login). Use when user wants to save a webpage as markdown.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
1,127 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Script Directory
- Preferences (EXTEND.md)
- Features
- Usage
- Options
- Capture Modes
- Output Format
- Output Directory
- Environment Variables
- Extension Support
Files
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# URL to Markdown
Fetches any URL via Chrome CDP and converts HTML to clean markdown.
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
**Agent Execution Instructions**:
1. Determine this SKILL.md file's directory path as `SKILL_DIR`
2. Script path = `${SKILL_DIR}/scripts/<script-name>.ts`
3. Replace all `${SKILL_DIR}` in this document with the actual path
**Script Reference**:
| Script | Purpose |View the complete source on GitHubbedtime-story
When your agent uses it
为3-12岁儿童提供温馨亲切的睡前寓言故事和成语典故讲解。支持用户唤醒后提供故事列表选择,或直接讲解指定故事/成语。讲解时保持亲切温馨的语气、0.6倍正常语速、通俗易懂的表达,为小朋友营造舒适的睡前氛围。
What it loads into context
Frontmatter
244 tokensAlways available to the agent
SKILL.md
1,807 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 语气与表达规范
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# 儿童睡前故事
## 任务目标
- 本 Skill 用于:为3-12岁儿童讲解睡前寓言故事和成语典故
- 能力包含:故事列表生成、寓言故事全文讲解、成语典故深度讲解
- 触发条件:用户发送"我要听故事"或具体故事名称/成语
## 语气与表达规范
### 核心语气
- 亲切温馨,像温柔的睡前故事家
- 通俗易懂,符合儿童认知水平
- 充满耐心和关爱
### 表达要求View the complete source on GitHubbenchmark
When your agent uses it
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
What it loads into context
Frontmatter
125 tokensAlways available to the agent
SKILL.md
719 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Output
- Integration
Files
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# Benchmark — Performance Baseline & Regression Detection
## When to Use
- Before and after a PR to measure performance impact
- Setting up performance baselines for a project
- When users report "it feels slow"
- Before a launch — ensure you meet performance targets
- Comparing your stack against alternatives
## How It Works
### Mode 1: Page Performance
Measures real browser metrics via browser MCP:View the complete source on GitHubbenchmark-methodology
When your agent uses it
Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot. Precedes competitive-report-structure.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
2,315 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Client positioning brief (establish first)
- Why these dimensions
- The nine dimensions (with weights)
- Scoring rubric (1–5, applies to dimensions 1–8)
- How to collect the data
- Bias controls
- Competitor profile card (output format)
- Anti-Patterns
- Related Skills
Files
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# Benchmark Methodology
Use this skill to turn a scoped competitor set into **comparable, defensible
scores**. Each competitor is assessed on the same nine dimensions, with
explicit 1–5 rubrics, then captured in a uniform profile card. Consistency is
the point: scores are only useful if the same evidence would earn the same
number for any competitor.
## When to Activate
- A scoped, tiered competitor set from competitive-platform-analysis is ready to score.
- Need comparable, evidence-anchored scores across competitors — not gut-feel rankings.
- Client's strategic tension (the paired axes defining their target white-space) has been established.
- Preparing to produce profile cards for assembly in competitive-report-structure.
View the complete source on GitHubbenchmark-optimization-loop
When your agent uses it
Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
624 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Required Baseline
- Loop
- Variant Table
- Recursive Search
- Promotion Gate
Files
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# Benchmark Optimization Loop
Use this skill to convert "make it 20x faster" or "try 50 recursive
optimizations" into a bounded measured loop that can actually improve a system.
## Required Baseline
Do not optimize until these exist:
- the operation being optimized;
- the correctness gate that must stay green;
- the metric: wall time, p95 latency, rows/sec, cost/run, memory, error rate;
- the current baseline;
- the search budget: max variants, max time, max spend, max data impact.
View the complete source on GitHubblender-motion-state-inspection
When your agent uses it
Use this skill when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
1,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Core Principle
- How It Works
- Inspection Workflow
- Recommended Report Shape
- Examples
- Practical Thresholds
- Anti-Patterns
- Tooling Notes
Files
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# Blender Motion State Inspection
## When to Use
- A Blender character looks twisted, mirrored, flattened, offset, or foot-sliding in an animation.
- A user asks whether an imported avatar, armature, or retargeted motion matches an expected pose.
- You need to compare rendered evidence with structured facts such as bones, bounding boxes, contacts, and facing vectors.
- A workflow depends on deciding whether a model is a character, prop, proxy mesh, control rig, or broken import.
## Core Principle
Do not judge animated 3D assets only from screenshots. Screenshots are review evidence, but they hide axis conventions, bone names, object scale, local transforms, parented meshes, material slots, and frame-by-frame contact state.
First extract structured Blender state, then use viewport screenshots or renders to confirm what the facts imply.
View the complete source on GitHubblueprint
When your agent uses it
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
What it loads into context
Frontmatter
237 tokensAlways available to the agent
SKILL.md
1,261 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Key Features
- Installation
- Requirements
- Source
Files
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# Blueprint — Construction Plan Generator
Turn a one-line objective into a step-by-step construction plan that any coding agent can execute cold.
## When to Use
- Breaking a large feature into multiple PRs with clear dependency order
- Planning a refactor or migration that spans multiple sessions
- Coordinating parallel workstreams across sub-agents
- Any task where context loss between sessions would cause rework
**Do not use** for tasks completable in a single PR, fewer than 3 tool calls, or when the user says "just do it."
## How It Works
View the complete source on GitHubbrainstorming
When your agent uses it
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
2,318 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Anti-Pattern: "This Is Too Simple To Need A Design"
- Checklist
- Process Flow
- The Process
- After the Design
- Key Principles
- Visual Companion
Files
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# Brainstorming Ideas Into Designs
Help turn ideas into fully formed designs and specs through natural collaborative dialogue.
Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design and get user approval.
<HARD-GATE>
Do NOT invoke any implementation skill, write any code, scaffold any project, or take any implementation action until you have presented a design and the user has approved it. This applies to EVERY project regardless of perceived simplicity.
</HARD-GATE>
## Anti-Pattern: "This Is Too Simple To Need A Design"
Every project goes through this process. A todo list, a single-function utility, a config change — all of them. "Simple" projects are where unexamined assumptions cause the most wasted work. The design can be short (a few sentences for truly simple projects), but you MUST present it and get approval.
## ChecklistView the complete source on GitHubbrand-discovery
When your agent uses it
Use when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).
What it loads into context
Frontmatter
187 tokensAlways available to the agent
SKILL.md
1,800 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Session start protocol
- Interview discipline
- Module sequence
- State write protocol
- Multi-founder mode
- Anti-Patterns
- Related Skills
Files
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# Brand Discovery
Use this skill to conduct a structured, adaptive brand identity interview.
The goal is a complete `90_SYNTHESIS.md` — a master brandbook the
organization can use to brief designers, writers, and external
collaborators.
The interview runs across multiple sessions. Capture answers to disk as you
go so that no elicited knowledge is lost when a conversation ends, and so a
later session can resume from where the last one stopped.
## When to Activate
- A brand is being created, repositioned, or needs a written identity reference to brief collaborators.
- Multiple sessions are expected — the conversation will span days or weeks.View the complete source on GitHubbrand-guidelines
When your agent uses it
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
621 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Brand Guidelines
- Features
- Technical Details
Files
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# Anthropic Brand Styling
## Overview
To access Anthropic's official brand identity and style resources, use this skill.
**Keywords**: branding, corporate identity, visual identity, post-processing, styling, brand colors, typography, Anthropic brand, visual formatting, visual design
## Brand Guidelines
### Colors
**Main Colors:**
- Dark: `#141413` - Primary text and dark backgroundsView the complete source on GitHubbrand-voice
When your agent uses it
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
876 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Source Priority
- Collection Workflow
- What to Extract
- Output Contract
- Affaan / ECC Defaults
- Hard Bans
- Persistence Rules
- Downstream Use
Files
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# Brand Voice
Build a durable voice profile from real source material, then use that profile everywhere instead of re-deriving style from scratch or defaulting to generic AI copy.
## When to Activate
- the user wants content or outreach in a specific voice
- writing for X, LinkedIn, email, launch posts, threads, or product updates
- adapting a known author's tone across channels
- the existing content lane needs a reusable style system instead of one-off mimicry
## Source Priority
Use the strongest real source set available, in this order:
View the complete source on GitHubbrowser-qa
When your agent uses it
Use this skill to automate visual testing and UI interaction verification using browser automation after deploying features.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
1,025 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Output Format
- Integration
Files
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# Browser QA — Automated Visual Testing & Interaction
## When to Use
- After deploying a feature to staging/preview
- When you need to verify UI behavior across pages
- Before shipping — confirm layouts, forms, interactions actually work
- When reviewing PRs that touch frontend code
- Accessibility audits and responsive testing
## How It Works
Uses the browser automation MCP (claude-in-chrome, Playwright, or Puppeteer) to interact with live pages like a real user.
### Safety first — blast radius (run read-only by default)View the complete source on GitHubbun-runtime
When your agent uses it
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
757 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Best Practices
Files
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# Bun Runtime
Bun is a fast all-in-one JavaScript runtime and toolkit: runtime, package manager, bundler, and test runner.
## When to Use
- **Prefer Bun** for: new JS/TS projects, scripts where install/run speed matters, Vercel deployments with Bun runtime, and when you want a single toolchain (run + install + test + build).
- **Prefer Node** for: maximum ecosystem compatibility, legacy tooling that assumes Node, or when a dependency has known Bun issues.
Use when: adopting Bun, migrating from Node, writing or debugging Bun scripts/tests, or configuring Bun on Vercel or other platforms.
## How It Works
- **Runtime**: Drop-in Node-compatible runtime (built on JavaScriptCore, implemented in Zig).
- **Package manager**: `bun install` is significantly faster than npm/yarn. Lockfile is `bun.lock` (text) by default in current Bun; older versions used `bun.lockb` (binary).View the complete source on GitHubcanary-watch
When your agent uses it
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
924 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Output
- Integration
Files
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# Canary Watch — Post-Deploy Monitoring
## When to Use
- After deploying to production or staging
- After merging a risky PR
- When you want to verify a fix actually fixed it
- Continuous monitoring during a launch window
- After dependency upgrades
## How It Works
Monitors a deployed URL for regressions. Runs in a loop until stopped or until the watch window expires.
### What It WatchesView the complete source on GitHubcanvas-design
When your agent uses it
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,440 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- DESIGN PHILOSOPHY CREATION
- DEDUCING THE SUBTLE REFERENCE
- CANVAS CREATION
- FINAL STEP
- MULTI-PAGE OPTION
Files
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These are instructions for creating design philosophies - aesthetic movements that are then EXPRESSED VISUALLY. Output only .md files, .pdf files, and .png files.
Complete this in two steps:
1. Design Philosophy Creation (.md file)
2. Express by creating it on a canvas (.pdf file or .png file)
First, undertake this task:
## DESIGN PHILOSOPHY CREATION
To begin, create a VISUAL PHILOSOPHY (not layouts or templates) that will be interpreted through:
- Form, space, color, composition
- Images, graphics, shapes, patterns
- Minimal text as visual accent
View the complete source on GitHubcarrier-relationship-management
When your agent uses it
Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
What it loads into context
Frontmatter
190 tokensAlways available to the agent
SKILL.md
5,016 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Carrier Relationship Management
## Role and Context
You are a senior transportation manager with 15+ years managing carrier portfolios ranging from 40 to 200+ active carriers across truckload, LTL, intermodal, and brokerage. You own the full lifecycle: sourcing new carriers, negotiating rates, running RFPs, building routing guides, tracking performance via scorecards, managing contract renewals, and making allocation decisions. Your systems include TMS (transportation management), rate management platforms, carrier onboarding portals, DAT/Greenscreens for market intelligence, and FMCSA SAFER for compliance. You balance cost reduction pressure against service quality, capacity security, and carrier relationship health — because when the market tightens, your carriers' willingness to cover your freight depends on how you treated them when capacity was loose.
## When to Use
- Onboarding a new carrier and vetting safety, insurance, and authority
- Running an annual or lane-specific RFP for rate benchmarking
- Building or updating carrier scorecards and performance reviews
- Reallocating freight during tight capacity or carrier underperformance
- Negotiating rate increases, fuel surcharges, or accessorial schedules
## How It WorksView the complete source on GitHubchrome-automation
When your agent uses it
Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol). Use when the user wants to automate their existing Chrome browser, see browser actions in real-time, or needs to control the Chrome instance they're already using. Handles installation, setup, connecting via remote debugging, and all browser automation tasks with live visual feedback.
What it loads into context
Frontmatter
178 tokensAlways available to the agent
SKILL.md
5,542 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- ⚠<U+FE0F> CRITICAL: Automatic Installation & Dependency Check
- Quick Start
- Core Workflow
- Installation & Setup
- Chrome Connection
- Usage Patterns
- Real-time Feedback Protocol
- Command Reference
- Troubleshooting
- Best Practices
- Profile Management
Files
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# Chrome Browser Automation with Real-time Control
Control the user's Google Chrome browser using agent-browser connected via Chrome DevTools Protocol (CDP). All actions are visible in real-time in the user's browser window.
## ⚠<U+FE0F> CRITICAL: Automatic Installation & Dependency Check
**BEFORE using this skill, ALWAYS run the auto-installation check:**
This skill automatically checks and installs all required dependencies without user confirmation. The installation process verifies:
- agent-browser repository and binary
- Node.js and pnpm
- Playwright Chromium
- Rust toolchain (cargo)
- Native binary compilation
View the complete source on GitHubcisco-ios-patterns
When your agent uses it
Cisco IOS and IOS-XE review patterns for show commands, config hierarchy, wildcard masks, ACL placement, interface hygiene, and safe change-window verification.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
1,268 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operating Rules
- Mode Reference
- Read-Only Collection
- Wildcard Masks
- ACL Placement Review
- Interface Hygiene
- Change-Window Verification
- Anti-Patterns
- See Also
Files
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# Cisco IOS Patterns
Use this skill when reviewing Cisco IOS or IOS-XE snippets, building a
change-window checklist, or explaining how to collect evidence from a router or
switch without making the incident worse.
## When to Use
- Reviewing IOS or IOS-XE configuration before a planned change.
- Choosing read-only `show` commands for troubleshooting.
- Checking ACL wildcard masks and interface direction.
- Explaining global, interface, routing process, and line configuration modes.
- Verifying that a change landed in running config and was saved intentionally.
## Operating RulesView the complete source on GitHubck
When your agent uses it
Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,340 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Layout
- Commands
- SessionStart Hook
- Rules
Files
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# ck — Context Keeper
You are the **Context Keeper** assistant. When the user invokes any `/ck:*` command,
run the corresponding Node.js script and present its stdout to the user verbatim.
Scripts live at: `~/.claude/skills/ck/commands/` (expand `~` with `$HOME`).
---
## Data Layout
```
~/.claude/ck/
├── projects.json ← path → {name, contextDir, lastUpdated}
└── contexts/<name>/
├── context.json ← SOURCE OF TRUTH (structured JSON, v2)View the complete source on GitHubclaude-api
When your agent uses it
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file).
What it loads into context
Frontmatter
426 tokensAlways available to the agent
SKILL.md
18,765 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Start
- Output Requirement
- Defaults
- ⚠<U+FE0F> API Drift — Your Training Prior May Be Stale
- Subcommands
- Language Detection
- Which Surface Should I Use?
- Architecture
- Current Models (cached: 2026-06-24)
- Authentication (Quick Reference)
- Thinking & Effort (Quick Reference)
- Compaction (Quick Reference)
- Prompt Caching (Quick Reference)
- Fast Mode (Quick Reference)
- Task Budgets (Quick Reference)
- Provider Clients (Quick Reference)
- Context Editing (Quick Reference)
- Mid-Conversation System Messages (Quick Reference)
- Managed Agents (Beta)
- Server Tools (Quick Reference)
- Document & File Input (Quick Reference)
- Tool Use Patterns (Quick Reference)
- Other API Surfaces (Quick Reference)
- Workload Identity Federation (Quick Reference)
- Reading Guide
- When to Use WebFetch
- Common Pitfalls
Files
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# Building LLM-Powered Applications with Claude
This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.
## Before You Start
Scan the target file (or, if no target file, the prompt and project) for non-Anthropic provider markers — `import openai`, `from openai`, `langchain_openai`, `OpenAI(`, `gpt-4`, `gpt-5`, file names like `agent-openai.py` or `*-generic.py`, or any explicit instruction to keep the code provider-neutral. If you find any, stop and tell the user that this skill produces Claude/Anthropic SDK code; ask whether they want to switch the file to Claude or want a non-Claude implementation. Do not edit a non-Anthropic file with Anthropic SDK calls.
## Output Requirement
When the user asks you to add, modify, or implement a Claude feature, your code must call Claude through one of:
1. **The official Anthropic SDK** for the project's language (`anthropic`, `@anthropic-ai/sdk`, `com.anthropic.*`, etc.). This is the default whenever a supported SDK exists for the project.
2. **Raw HTTP** (`curl`, `requests`, `fetch`, `httpx`, etc.) — only when the user explicitly asks for cURL/REST/raw HTTP, the project is a shell/cURL project, or the language has no official SDK.
View the complete source on GitHubclaude-devfleet
When your agent uses it
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,549 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Setup
- How It Works
- Examples
- Guidelines
Files
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# Claude DevFleet Multi-Agent Orchestration
## When to Use
Use this skill when you need to dispatch multiple Claude Code agents to work on coding tasks in parallel. Each agent runs in an isolated git worktree with full tooling.
## Setup
The DevFleet server is a separate project, not bundled with ECC. Install and
run it from its repository first: <https://github.com/LEC-AI/claude-devfleet>
Then connect the running instance via MCP:
```bash
claude mcp add devfleet --transport http http://localhost:18801/mcp
```View the complete source on GitHubclaude-handoff
When your agent uses it
Hand the current conversation off to a fresh background agent that picks up the work immediately.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
357 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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Write a handoff summary of the current conversation so a fresh agent can continue the work. Instead of saving it, launch a background agent seeded with the summary as its prompt: `claude --bg --name "<descriptive name>" "<handoff summary>"`. It starts in the current working directory and returns immediately; the user manages it with `claude agents`.
Always pass `-n`/`--name` with a descriptive name (e.g. `--name "Fix login bug"`) — it sets the display name shown in the job list, session picker, and terminal title.
Include a "suggested skills" section in the summary, which suggests skills that the agent should invoke.
Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information — the summary becomes the agent's prompt.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the summary accordingly.View the complete source on GitHubclick-path-audit
When your agent uses it
Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
2,046 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Problem This Solves
- How It Works
- Execution Steps
- Scope Control
- When to Use
- When NOT to Use
- Integration with Other Skills
- Example: The Bug That Inspired This Skill
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# /click-path-audit — Behavioural Flow Audit
Find bugs that static code reading misses: state interaction side effects, race conditions between sequential calls, and handlers that silently undo each other.
## The Problem This Solves
Traditional debugging checks:
- Does the function exist? (missing wiring)
- Does it crash? (runtime errors)
- Does it return the right type? (data flow)
But it does NOT check:
- **Does the final UI state match what the button label promises?**
- **Does function B silently undo what function A just did?**
- **Does shared state (Zustand/Redux/context) have side effects that cancel the intended action?**View the complete source on GitHubclickhouse-io
When your agent uses it
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
2,685 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Overview
- Table Design Patterns
- Query Optimization Patterns
- Data Insertion Patterns
- Materialized Views
- Performance Monitoring
- Common Analytics Queries
- Data Pipeline Patterns
- Best Practices
Files
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# ClickHouse Analytics Patterns
ClickHouse-specific patterns for high-performance analytics and data engineering.
## When to Activate
- Designing ClickHouse table schemas (MergeTree engine selection)
- Writing analytical queries (aggregations, window functions, joins)
- Optimizing query performance (partition pruning, projections, materialized views)
- Ingesting large volumes of data (batch inserts, Kafka integration)
- Migrating from PostgreSQL/MySQL to ClickHouse for analytics
- Implementing real-time dashboards or time-series analytics
## Overview
View the complete source on GitHubcode-review
When your agent uses it
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/PRD asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".
What it loads into context
Frontmatter
212 tokensAlways available to the agent
SKILL.md
1,649 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process
- Why two axes
Files
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Two-axis review of the diff between `HEAD` and a fixed point the user supplies:
- **Standards** — does the code conform to this repo's documented coding standards?
- **Spec** — does the code faithfully implement the originating issue / PRD / spec?
Both axes run as **parallel sub-agents** so they don't pollute each other's context, then this skill aggregates their findings.
The issue tracker should have been provided to you — run `/setup-matt-pocock-skills` if `docs/agents/issue-tracker.md` is missing.
## Process
### 1. Pin the fixed point
Whatever the user said is the fixed point — a commit SHA, branch name, tag, `main`, `HEAD~5`, etc. If they didn't specify one, ask for it.
View the complete source on GitHubcode-tour
When your agent uses it
Create CodeTour `.tour` files — persona-targeted, step-by-step walkthroughs with real file and line anchors. Use for onboarding tours, architecture walkthroughs, PR tours, RCA tours, and structured "explain how this works" requests.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
2,059 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- When NOT to Use
- Workflow
- The `ref` Field
- Step Types
- Writing Rule: SMIG
- Narrative Shape
- Example
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Code Tour
Create **CodeTour** `.tour` files for codebase walkthroughs that open directly to real files and line ranges. Tours live in `.tours/` and are meant for the CodeTour format, not ad hoc Markdown notes.
A good tour is a narrative for a specific reader:
- what they are looking at
- why it matters
- what path they should follow next
Only create `.tour` JSON files. Do not modify source code as part of this skill.
## When to Use
Use this skill when:
- the user asks for a code tour, onboarding tour, architecture walkthrough, or PR tourView the complete source on GitHubcodebase-design
When your agent uses it
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
What it loads into context
Frontmatter
173 tokensAlways available to the agent
SKILL.md
1,464 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Glossary
- Deep vs shallow
- Principles
- Designing for testability
- Relationships
- Rejected framings
- Going deeper
Files
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# Codebase Design
Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone.
## Glossary
Use these terms exactly — don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point.
**Module** — anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service.
**Interface** — everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. _Avoid_: API, signature (too narrow — they refer only to the type-level surface).
**Implementation** — what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise.
**Depth** — leverage at the interface: the amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation.View the complete source on GitHubcodebase-onboarding
When your agent uses it
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,058 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Best Practices
- Anti-Patterns to Avoid
- Examples
Files
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# Codebase Onboarding
Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time.
## When to Use
- First time opening a project with Claude Code
- Joining a new team or repository
- User asks "help me understand this codebase"
- User asks to generate a CLAUDE.md for a project
- User says "onboard me" or "walk me through this repo"
## How It Works
### Phase 1: ReconnaissanceView the complete source on GitHubcodehealth-mcp
When your agent uses it
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
1,896 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Security and boundaries
- When to Use
- When to Activate
- How It Works
- Examples
- Pairing with ECC
- Related Skills
Files
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# Code Health MCP (CodeScene)
Structural maintainability feedback for AI-assisted coding. Complements style/lint skills (`coding-standards`, `plankton-code-quality`) with **design-level** health scores and regression gates.
**Upstream:** [codescene-oss/codescene-mcp-server](https://github.com/codescene-oss/codescene-mcp-server)
**Package:** `@codescene/codehealth-mcp` (stdio via npx)
## Security and boundaries
**Opt-in (ECC):** The `codescene` block in `mcp-configs/mcp-servers.json` is a template only. ECC plugin installs do not auto-enable bundled MCP servers. Copy the entry into your config only if you want it. You can exclude it during ECC install/sync with `ECC_DISABLED_MCPS=codescene,...`.
**Credentials:** No bundled token. Set `CS_ACCESS_TOKEN` yourself (see [getting-a-personal-access-token.md](https://github.com/codescene-oss/codescene-mcp-server/blob/main/docs/getting-a-personal-access-token.md) in the upstream repo). Never commit tokens to the repo.
**What the tools read:** When invoked, tools analyze files and git state **in the local repository** you point them at (paths you pass, plus branch context for `analyze_change_set`). They do not run by themselves. For standalone mode, follow upstream privacy docs: [codescene-mcp-server README](https://github.com/codescene-oss/codescene-mcp-server#frequently-asked-questions) and [CodeScene policies](https://codescene.com/policies). Do not use this skill for secrets, credentials, or paths you do not want analyzed.
View the complete source on GitHubcoding-standards
When your agent uses it
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
3,226 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Scope Boundaries
- Code Quality Principles
- TypeScript/JavaScript Standards
- React Best Practices
- API Design Standards
- File Organization
- Comments & Documentation
- Performance Best Practices
- Testing Standards
- Code Smell Detection
Files
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# Coding Standards & Best Practices
Baseline coding conventions applicable across projects.
This skill is the shared floor, not the detailed framework playbook.
- Use `frontend-patterns` for React, state, forms, rendering, and UI architecture.
- Use `backend-patterns` or `api-design` for repository/service layers, endpoint design, validation, and server-specific concerns.
- Use `rules/common/coding-style.md` when you need the shortest reusable rule layer instead of a full skill walkthrough.
## When to Activate
- Starting a new project or module
- Reviewing code for quality and maintainability
- Refactoring existing code to follow conventionsView the complete source on GitHubcompetitive-platform-analysis
When your agent uses it
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
2,799 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Client positioning brief (establish first)
- Selection criteria
- Player taxonomy — axes to populate across
- Competitive tiers (how the set resolves)
- Data sources (where to look)
- Scoring matrix template (selection stage)
- Output of this stage
- Anti-Patterns
- Examples
- Related Skills
Files
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# Competitive Platform Analysis
Use this skill to decide **who to benchmark** and **where to find them** before
any scoring begins. A competitive analysis is only as good as its frame: the
wrong set makes the client look either unbeatable or doomed. The goal is a
defensible, decision-relevant set — not an exhaustive census.
## When to Activate
- About to start a competitive benchmarking project and need to define the competitor set first.
- Unsure which companies belong in Direct / Adjacent / Aspirational tiers.
- Need a defensible, pruned scope for a market landscape report.
- Has a positioning brief and wants to identify who contests that position.
- First step before running benchmark-methodology.
View the complete source on GitHubcompetitive-report-structure
When your agent uses it
Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.
What it loads into context
Frontmatter
173 tokensAlways available to the agent
SKILL.md
1,915 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Client positioning brief (establish first)
- Framing principle
- Report sections
- How to present data
- Decision framework (the report must resolve these)
- Trigger questions for the team alignment session
- Anti-Patterns
- Related Skills
Files
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# Competitive Report Structure
Use this skill to assemble scored competitor cards into a decision-grade report.
The report must answer three questions for the client: **who do we compete with,
how do we compete, and where is our defensible white-space?** Every section
earns its place by moving toward those answers — cut anything that doesn't.
## When to Activate
- All competitor profile cards from benchmark-methodology are complete and ready to assemble.
- Need to present competitive findings to a founder, leadership team, or board.
- The report must drive decisions (who to compete with, how, where the moat is) — not just document the landscape.
- Preparing a client deliverable that must be auditable and defensible.
## Client positioning brief (establish first)View the complete source on GitHubcompose-multiplatform-patterns
When your agent uses it
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,973 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- State Management
- Navigation
- Composable Design
- KMP Platform-Specific UI
- Performance
- Theming
- Anti-Patterns to Avoid
- References
Files
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# Compose Multiplatform Patterns
Patterns for building shared UI across Android, iOS, Desktop, and Web using Compose Multiplatform and Jetpack Compose. Covers state management, navigation, theming, and performance.
## When to Activate
- Building Compose UI (Jetpack Compose or Compose Multiplatform)
- Managing UI state with ViewModels and Compose state
- Implementing navigation in KMP or Android projects
- Designing reusable composables and design systems
- Optimizing recomposition and rendering performance
## State Management
### ViewModel + Single State ObjectView the complete source on GitHubconfig-gc
When your agent uses it
Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a confirm-each-deletion cleanup. Use when the user says "clean up my config", "config GC", "too many skills", "audit my setup", "my .claude is bloated", or asks for a periodic config review.
What it loads into context
Frontmatter
217 tokensAlways available to the agent
SKILL.md
2,074 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Design Philosophy
- Scan Channels
- Workflow
- Example Scan Commands
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Config GC — Garbage Collection for Claude Code Setups
Borrowed from runtime garbage collection: periodically scan for objects that are no longer referenced, redundant, expired, or low-value, and reclaim the space. The critical difference: **here, collection requires a human in the loop. Never delete autonomously.**
## When to Activate
- The user asks to clean up, audit, or slim down their Claude Code configuration
- The user complains about too many skills, noisy hooks, or slow session startup
- A monthly/periodic config review is due
- After installing a large skill pack (e.g. this repo), to reconcile overlaps with existing setup
Do NOT activate for: cleaning project source code (that's refactoring), clearing chat history, or uninstalling Claude Code itself.
## Design Philosophy
View the complete source on GitHubconfigure-ecc
When your agent uses it
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
4,127 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Prerequisites
- Step 0: Clone ECC Repository
- Step 1: Choose Installation Level
- Step 2: Select & Install Skills
- Step 3: Select & Install Rules
- Step 4: Post-Installation Verification
- Step 5: Optimize Installed Files (Optional)
- Step 6: Installation Summary
- Troubleshooting
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# Configure Everything Claude Code (ECC)
An interactive, step-by-step installation wizard for the Everything Claude Code project. Uses `AskUserQuestion` to guide users through selective installation of skills and rules, then verifies correctness and offers optimization.
## When to Activate
- User says "configure ecc", "install ecc", "setup everything claude code", or similar
- User wants to selectively install skills or rules from this project
- User wants to verify or fix an existing ECC installation
- User wants to optimize installed skills or rules for their project
## Prerequisites
This skill must be accessible to Claude Code before activation. Two ways to bootstrap:
1. **Via Plugin**: `/plugin install ecc@ecc` — the plugin loads this skill automaticallyView the complete source on GitHubconnections-optimizer
When your agent uses it
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships.
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
1,302 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Required Inputs
- Tool Requirements
- Safety Defaults
- Platform Rules
- Modes
- Scoring Model
- Workflow
- Review Pack Format
- Outbound Rules
- Related Skills
Files
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# Connections Optimizer
Reorganize the user's network instead of treating outbound as a one-way prospecting list.
This skill handles:
- X following cleanup and expansion
- LinkedIn follow and connection analysis
- review-first prune queues
- add and follow recommendations
- warm-path identification
- Apple Mail, X DM, and LinkedIn draft generation in the user's real voice
## When to Activate
View the complete source on GitHubcontent-creation-publisher
When your agent uses it
内容创作与发布全流程技能,整合网页采集、Markdown格式化、智能配图、多平台发布(微信公众号、X/Twitter)功能,实现从内容获取到发布的一站式解决方案
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
3,135 tokensWhen the skill is activated
Reference documents
1,528 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 核心功能模块
- 完整工作流
- 协同技能组合
- 前置准备
- 使用示例
- 资源索引
- 注意事项
- 高级功能
- 故障排查
- 更新日志
- 技能组成
Files
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# 内容创作与发布全流程
## 任务目标
- 本技能用于:从内容采集到发布的完整工作流
- 能力包含:
- 网页内容提取转Markdown
- Markdown格式化和排版优化
- 智能文章配图
- 多平台自动发布(微信公众号、X/Twitter)
- 触发条件:用户需要采集、编辑、配图、发布内容
## 核心功能模块
### 模块1:内容采集(baoyu-url-to-markdown)
**功能**:将任意网页转换为干净的Markdown格式View the complete source on GitHubcontent-engine
When your agent uses it
Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
1,036 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Non-Negotiables
- Source-First Workflow
- Voice Handling
- Hard Bans
- Platform Adaptation Rules
- Repurposing Flow
- Deliverables
- Quality Gate
- Related Skills
Files
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# Content Engine
Build platform-native content without flattening the author's real voice into platform slop.
## When to Activate
- writing X posts or threads
- drafting LinkedIn posts or launch updates
- scripting short-form video or YouTube explainers
- repurposing articles, podcasts, demos, docs, or internal notes into public content
- building a launch sequence or ongoing content system around a product, insight, or narrative
## Non-Negotiables
1. Start from source material, not generic post formulas.View the complete source on GitHubcontent-hash-cache-pattern
When your agent uses it
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,384 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Pattern
- Key Design Decisions
- Best Practices
- Anti-Patterns to Avoid
- When to Use
- When NOT to Use
Files
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# Content-Hash File Cache Pattern
Cache expensive file processing results (PDF parsing, text extraction, image analysis) using SHA-256 content hashes as cache keys. Unlike path-based caching, this approach survives file moves/renames and auto-invalidates when content changes.
## When to Activate
- Building file processing pipelines (PDF, images, text extraction)
- Processing cost is high and same files are processed repeatedly
- Need a `--cache/--no-cache` CLI option
- Want to add caching to existing pure functions without modifying them
## Core Pattern
### 1. Content-Hash Based Cache Key
View the complete source on GitHubcontent-research-writer
When your agent uses it
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
3,484 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- What This Skill Does
- How to Use
- Instructions
- Examples
- Writing Workflows
- Pro Tips
- File Organization
- Best Practices
- Related Use Cases
Files
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# Content Research Writer
This skill acts as your writing partner, helping you research, outline, draft, and refine content while maintaining your unique voice and style.
## When to Use This Skill
- Writing blog posts, articles, or newsletters
- Creating educational content or tutorials
- Drafting thought leadership pieces
- Researching and writing case studies
- Producing technical documentation with sources
- Writing with proper citations and references
- Improving hooks and introductions
- Getting section-by-section feedback while writing
View the complete source on GitHubcontext-budget
When your agent uses it
Audits Claude Code context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,398 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Best Practices
Files
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# Context Budget
Analyze token overhead across every loaded component in a Claude Code session and surface actionable optimizations to reclaim context space.
## When to Use
- Session performance feels sluggish or output quality is degrading
- You've recently added many skills, agents, or MCP servers
- You want to know how much context headroom you actually have
- Planning to add more components and need to know if there's room
- Running `/context-budget` command (this skill backs it)
## How It Works
### Phase 1: InventoryView the complete source on GitHubcontinuous-agent-loop
When your agent uses it
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
341 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Loop Selection Flow
- Combined Pattern
- Failure Modes
- Recovery
Files
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# Continuous Agent Loop
This is the v1.8+ canonical loop skill name. It supersedes `autonomous-loops` while keeping compatibility for one release.
## Loop Selection Flow
```text
Start
|
+-- Need strict CI/PR control? -- yes --> continuous-pr
|
+-- Need RFC decomposition? -- yes --> rfc-dag
|
+-- Need exploratory parallel generation? -- yes --> infinite
|View the complete source on GitHubcontinuous-learning
When your agent uses it
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.
What it loads into context
Frontmatter
174 tokensAlways available to the agent
SKILL.md
1,166 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Original v1 Documentation (archival)
- When to Activate
- Status
- How It Works
- Configuration
- Pattern Types
- Hook Setup
- Why Stop Hook?
- Related
- Comparison Notes (Research: Jan 2025)
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# Continuous Learning Skill - DEPRECATED
> **DEPRECATED 2026-04-28.** Use `continuous-learning-v2` instead. v2 is a strict superset: stop-hook observation becomes PreToolUse/PostToolUse observation, full skills become atomic instincts with confidence scoring, and global-only storage becomes project-scoped plus global promotion.
>
> This file is kept for archival reference and backward compatibility with existing installs.
---
## Original v1 Documentation (archival)
Automatically evaluates Claude Code sessions on end to extract reusable patterns that can be saved as learned skills.
## When to Activate
- Setting up automatic pattern extraction from Claude Code sessionsView the complete source on GitHubcontinuous-learning-v2
When your agent uses it
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,228 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- What's New in v2.1
- What's New in v2 (vs v1)
- The Instinct Model
- How It Works
- Project Detection
- Quick Start
- Commands
- Configuration
- File Structure
- Scope Decision Guide
- Instinct Promotion (Project -> Global)
- Confidence Scoring
- Why Hooks vs Skills for Observation?
- Backward Compatibility
- Privacy
- Related
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# Continuous Learning v2.1 - Instinct
-Based Architecture
An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring.
**v2.1** adds **project-scoped instincts** — React patterns stay in your React project, Python conventions stay in your Python project, and universal patterns (like "always validate input") are shared globally.
## When to Activate
- Setting up automatic learning from Claude Code sessions
- Configuring instinct-based behavior extraction via hooks
- Tuning confidence thresholds for learned behaviors
- Reviewing, exporting, or importing instinct libraries
- Evolving instincts into full skills, commands, or agents
- Managing project-scoped vs global instinctsView the complete source on GitHubcontract-review
When your agent uses it
Contract review skill that adds comment-based issue annotations without changing original text. Enforces a three-layer review (basic, business, legal), writes structured comments (issue type, risk reason, revision suggestion) with risk level encoded via reviewer name, and generates a contract summary, consolidated opinion, and Mermaid business flowchart (with rendered image). Output language must follow the contract’s language.
What it loads into context
Frontmatter
182 tokensAlways available to the agent
SKILL.md
1,339 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Workflow
- Output Naming
- Comment Principles
- Review Standards
- Contract Summary
- Consolidated Opinion
- Business Flowchart (Mermaid)
- Dependencies
- Troubleshooting (Short)
- Examples
- Important Rules
Files
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# Contract Review Skill
## Overview
This skill performs contract reviews by **adding comments only** (no edits to the original text). It follows a three-layer review (basic, business, legal) and generates:
- Annotated contract (.docx)
- Contract summary (.docx)
- Consolidated review opinion (.docx)
- Business flowchart (Mermaid + rendered image)
**Language rule:** detect the contract’s dominant language and output all generated content (comments, summary, opinion, flowchart text) in that language. Use the guidance in **[references/language.md](references/language.md)**.
## Workflow
View the complete source on GitHubcost-aware-llm-pipeline
When your agent uses it
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
1,435 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Composition
- Pricing Reference (2025-2026)
- Best Practices
- Anti-Patterns to Avoid
- When to Use
Files
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# Cost-Aware LLM Pipeline
Patterns for controlling LLM API costs while maintaining quality. Combines model routing, budget tracking, retry logic, and prompt caching into a composable pipeline.
## When to Activate
- Building applications that call LLM APIs (Claude, GPT, etc.)
- Processing batches of items with varying complexity
- Need to stay within a budget for API spend
- Optimizing cost without sacrificing quality on complex tasks
## Core Concepts
### 1. Model Routing by Task Complexity
View the complete source on GitHubcost-tracking
When your agent uses it
Track and report Claude Code token usage, spending, and budgets from the local ECC cost-tracker metrics log. Use when the user asks about costs, spending, usage, tokens, budgets, or cost breakdowns by model, session, or date.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
1,250 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Where the data lives
- When to Use
- How It Works
- Example — summary, by model, last 7 days
- Reporting Guidance
- Anti-Patterns
- Related
Files
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# Cost Tracking
Use this skill to analyze Claude Code cost and usage history from the metrics log
that ECC's `stop:cost-tracker` hook writes.
## Where the data lives
The tracker appends one JSON object per session-stop to
`~/.claude/metrics/costs.jsonl`. Each row is a **cumulative snapshot for that
session**, so to total spend you take the **latest row per `session_id`** and
sum across sessions — summing every row multiply-counts.
Row schema:
| Field | Meaning |View the complete source on GitHubcouncil
When your agent uses it
Convene a four-voice council for ambiguous decisions, tradeoffs, and go/no-go calls. Use when multiple valid paths exist and you need structured disagreement before choosing.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,480 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- When NOT to Use
- Roles
- Workflow
- Persistence Rule
- Multi-Round Follow-up
- Anti-Patterns
- Related Skills
- Example
Files
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# Council
Convene four advisors for ambiguous decisions:
- the in-context Claude voice
- a Skeptic subagent
- a Pragmatist subagent
- a Critic subagent
This is for **decision-making under ambiguity**, not code review, implementation planning, or architecture design.
## When to Use
Use council when:
- a decision has multiple credible paths and no obvious winner
- you need explicit tradeoff surfacingView the complete source on GitHubcpp-coding-standards
When your agent uses it
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
6,120 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Cross-Cutting Principles
- Philosophy & Interfaces (P.*, I.*)
- Functions (F.*)
- Classes & Class Hierarchies (C.*)
- Resource Management (R.*)
- Expressions & Statements (ES.*)
- Error Handling (E.*)
- Constants & Immutability (Con.*)
- Concurrency & Parallelism (CP.*)
- Templates & Generic Programming (T.*)
- Standard Library (SL.*)
- Enumerations (Enum.*)
- Source Files & Naming (SF.*, NL.*)
- Performance (Per.*)
- Quick Reference Checklist
Files
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# C++ Coding Standards (C++ Core Guidelines)
Comprehensive coding standards for modern C++ (C++17/20/23) derived from the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines). Enforces type safety, resource safety, immutability, and clarity.
## When to Use
- Writing new C++ code (classes, functions, templates)
- Reviewing or refactoring existing C++ code
- Making architectural decisions in C++ projects
- Enforcing consistent style across a C++ codebase
- Choosing between language features (e.g., `enum` vs `enum class`, raw pointer vs smart pointer)
### When NOT to Use
- Non-C++ projectsView the complete source on GitHubcpp-testing
When your agent uses it
Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,385 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Core Concepts
- TDD Workflow
- Code Examples
- Running Tests
- Debugging Failures
- Coverage
- Sanitizers
- Flaky Tests Guardrails
- Best Practices
- Optional Appendix: Fuzzing / Property Testing
- Alternatives to GoogleTest
Files
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# C++ Testing (Agent Skill)
Agent-focused testing workflow for modern C++ (C++17/20) using GoogleTest/GoogleMock with CMake/CTest.
## When to Use
- Writing new C++ tests or fixing existing tests
- Designing unit/integration test coverage for C++ components
- Adding test coverage, CI gating, or regression protection
- Configuring CMake/CTest workflows for consistent execution
- Investigating test failures or flaky behavior
- Enabling sanitizers for memory/race diagnostics
### When NOT to Use
View the complete source on GitHubcrosspost
When your agent uses it
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
842 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Rules
- Workflow
- Posting Order
- Banned Patterns
- Output Format
- Quality Gate
- Related Skills
Files
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# Crosspost
Distribute content across platforms without turning it into the same fake post in four costumes.
## When to Activate
- the user wants to publish the same underlying idea across multiple platforms
- a launch, update, release, or essay needs platform-specific versions
- the user says "crosspost", "post this everywhere", or "adapt this for X and LinkedIn"
## Core Rules
1. Do not publish identical copy across platforms.
2. Preserve the author's voice across platforms.
3. Adapt for constraints, not stereotypes.View the complete source on GitHubcsharp-testing
When your agent uses it
C# and .NET testing patterns with xUnit, FluentAssertions, mocking, integration tests, and test organization best practices.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
2,079 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Test Framework Stack
- Unit Test Structure
- Mocking with NSubstitute
- ASP.NET Core Integration Tests
- Test Organization
- Test Data Builders
- Common Anti-Patterns
- Running Tests
Files
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# C# Testing Patterns
Comprehensive testing patterns for .NET applications using xUnit, FluentAssertions, and modern testing practices.
## When to Activate
- Writing new tests for C# code
- Reviewing test quality and coverage
- Setting up test infrastructure for .NET projects
- Debugging flaky or slow tests
## Test Framework Stack
| Tool | Purpose |
|---|---|View the complete source on GitHubcustomer-billing-ops
When your agent uses it
Operate customer billing workflows such as subscriptions, refunds, churn triage, billing-portal recovery, and plan analysis using connected billing tools like Stripe. Use when the user needs to help a customer, inspect subscription state, or manage revenue-impacting billing operations.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
984 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Preferred Tool Surface
- Guardrails
- Workflow
- Output Format
- Examples of Good Recommendations
Files
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# Customer Billing Ops
Use this skill for real customer operations, not generic payment API design.
The goal is to help the operator answer: who is this customer, what happened, what is the safest fix, and what follow-up should we send?
## When to Use
- Customer says billing is broken, they want a refund, or they cannot cancel
- Investigating duplicate subscriptions, accidental charges, failed renewals, or churn risk
- Reviewing plan mix, active subscriptions, yearly vs monthly conversion, or team-seat confusion
- Creating or validating a billing portal flow
- Auditing support complaints that touch subscriptions, invoices, refunds, or payment methods
## Preferred Tool SurfaceView the complete source on GitHubcustoms-trade-compliance
When your agent uses it
Codified expertise for customs documentation, tariff classification, duty optimization, restricted party screening, and regulatory compliance across multiple jurisdictions. Informed by trade compliance specialists with 15+ years experience. Includes HS classification logic, Incoterms application, FTA utilization, and penalty mitigation. Use when handling customs clearance, tariff classification, trade compliance, import/export documentation, or duty optimization.
What it loads into context
Frontmatter
193 tokensAlways available to the agent
SKILL.md
6,132 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Customs & Trade Compliance
## Role and Context
You are a senior trade compliance specialist with 15+ years managing customs operations across US, EU, UK, and Asia-Pacific jurisdictions. You sit at the intersection of importers, exporters, customs brokers, freight forwarders, government agencies, and legal counsel. Your systems include ACE (Automated Commercial Environment), CHIEF/CDS (UK), ATLAS (DE), customs broker portals, denied party screening platforms, and ERP trade management modules. Your job is to ensure lawful, cost-optimized movement of goods across borders while protecting the organization from penalties, seizures, and debarment.
## When to Use
- Classifying goods under HS/HTS tariff codes for import or export
- Preparing customs documentation (commercial invoices, certificates of origin, ISF filings)
- Screening parties against denied/restricted entity lists (SDN, Entity List, EU sanctions)
- Evaluating FTA qualification and duty savings opportunities
- Responding to customs audits, CF-28/CF-29 requests, or penalty notices
## How It WorksView the complete source on GitHubdart-flutter-patterns
When your agent uses it
Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget architecture, popular state management frameworks (BLoC, Riverpod, Provider), GoRouter navigation, Dio networking, Freezed code generation, and clean architecture.
What it loads into context
Frontmatter
166 tokensAlways available to the agent
SKILL.md
3,856 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- 1. Null Safety Fundamentals
- 2. Immutable State
- 3. Async Composition
- 4. Widget Architecture
- 5. State Management: BLoC/Cubit
- 6. State Management: Riverpod
- 7. Navigation with GoRouter
- 8. HTTP with Dio
- 9. Error Handling Architecture
- 10. Testing Quick Reference
- References
Files
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# Dart/Flutter Patterns
## When to Use
Use this skill when:
- Starting a new Flutter feature and need idiomatic patterns for state management, navigation, or data access
- Reviewing or writing Dart code and need guidance on null safety, sealed types, or async composition
- Setting up a new Flutter project and choosing between BLoC, Riverpod, or Provider
- Implementing secure HTTP clients, WebView integration, or local storage
- Writing tests for Flutter widgets, Cubits, or Riverpod providers
- Wiring up GoRouter with authentication guards
## How It Works
This skill provides copy-paste-ready Dart/Flutter code patterns organized by concern:View the complete source on GitHubdashboard-builder
When your agent uses it
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
What it loads into context
Frontmatter
130 tokensAlways available to the agent
SKILL.md
606 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Guardrails
- Workflow
- Example Panel Sets
- Quality Checklist
- Related Skills
Files
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# Dashboard Builder
Use this when the task is to build a dashboard people can operate from.
The goal is not "show every metric." The goal is to answer:
- is it healthy?
- where is the bottleneck?
- what changed?
- what action should someone take?
## When to Use
- "Build a Kafka monitoring dashboard"
- "Create a Grafana dashboard for Elasticsearch"View the complete source on GitHubdata-scraper-agent
When your agent uses it
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
What it loads into context
Frontmatter
203 tokensAlways available to the agent
SKILL.md
6,179 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Workflow
- Common Scraping Patterns
- Anti-Patterns to Avoid
- Free Tier Limits Reference
- Requirements Template
- Quality Checklist
- Real-World Examples
- Reference Implementation
Files
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# Data Scraper Agent
Build a production-ready, AI-powered data collection agent for any public data source.
Runs on a schedule, enriches results with a free LLM, stores to a database, and improves over time.
**Stack: Python · Gemini Flash (free) · GitHub Actions (free) · Notion / Sheets / Supabase**
## When to Activate
- User wants to scrape or monitor any public website or API
- User says "build a bot that checks...", "monitor X for me", "collect data from..."
- User wants to track jobs, prices, news, repos, sports scores, events, listings
- User asks how to automate data collection without paying for hosting
- User wants an agent that gets smarter over time based on their decisions
View the complete source on GitHubdata-storytelling
When your agent uses it
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
What it loads into context
Frontmatter
125 tokensAlways available to the agent
SKILL.md
2,926 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Core Concepts
- Story Frameworks
- Visualization Techniques
- Presentation Templates
- Writing Techniques
- Best Practices
- Resources
Files
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# Data Storytelling
Transform raw data into compelling narratives that drive decisions and inspire action.
## When to Use This Skill
- Presenting analytics to executives
- Creating quarterly business reviews
- Building investor presentations
- Writing data-driven reports
- Communicating insights to non-technical audiences
- Making recommendations based on data
## Core Concepts
View the complete source on GitHubdata-throughput-accelerator
When your agent uses it
Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
657 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- First Distinction
- Fast Path Heuristics
- Workflow
- Accounting Output
- Guardrails
Files
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# Data Throughput Accelerator
Use this skill when the bottleneck is moving, transforming, or saving lots of
data. The goal is not just speed. The goal is faster correct data landing in the
right place with proof.
## First Distinction
Separate these before optimizing:
- source extraction speed;
- network transfer speed;
- warehouse/load speed;
- transform speed;
- serving-table freshness;View the complete source on GitHubdatabase-migrations
When your agent uses it
Database migration best practices for schema changes, data migrations, rollbacks, and zero-downtime deployments across PostgreSQL, MySQL, and common ORMs (Prisma, Drizzle, Kysely, Django, TypeORM, golang-migrate).
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
2,862 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principles
- Migration Safety Checklist
- PostgreSQL Patterns
- Prisma (TypeScript/Node.js)
- Drizzle (TypeScript/Node.js)
- Kysely (TypeScript/Node.js)
- Django (Python)
- golang-migrate (Go)
- Zero-Downtime Migration Strategy
- Anti-Patterns
Files
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# Database Migration Patterns
Safe, reversible database schema changes for production systems.
## When to Activate
- Creating or altering database tables
- Adding/removing columns or indexes
- Running data migrations (backfill, transform)
- Planning zero-downtime schema changes
- Setting up migration tooling for a new project
## Core Principles
1. **Every change is a migration** — never alter production databases manuallyView the complete source on GitHubdeep-research
When your agent uses it
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
1,291 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- MCP Requirements
- Workflow
- Parallel Research with Subagents
- Quality Rules
- Examples
Files
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# Deep Research
> **Drift-prone skill.** Firecrawl/Exa MCP tool names, quotas, and result
> shapes change. Verify the configured MCP tools and current API docs before
> promising coverage or quoting live source counts.
Produce thorough, cited research reports from multiple web sources using firecrawl and exa MCP tools.
## When to Activate
- User asks to research any topic in depth
- Competitive analysis, technology evaluation, or market sizing
- Due diligence on companies, investors, or technologies
- Any question requiring synthesis from multiple sources
- User says "research", "deep dive", "investigate", or "what's the current state of"View the complete source on GitHubdefi-amm-security
When your agent uses it
Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
1,313 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Execution Safety
- Examples
- Security Checklist
- Audit Tools
Files
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# DeFi AMM Security
Critical vulnerability patterns and hardened implementations for Solidity AMM contracts, LP vaults, and swap functions.
## When to Use
- Writing or auditing a Solidity AMM or liquidity-pool contract
- Implementing swap, deposit, withdraw, mint, or burn flows that hold token balances
- Reviewing any contract that uses `token.balanceOf(address(this))` in share or reserve math
- Adding fee setters, pausers, oracle updates, or other admin functions to a DeFi protocol
## How It Works
Use this as a checklist-plus-pattern library. Review every user entrypoint against the categories below and prefer the hardened examples over hand-rolled variants.
View the complete source on GitHubdelivery-gate
When your agent uses it
Stop hook that blocks Claude from finishing until quality checks pass. Detects rationalization patterns (surface text heuristics), stale learning logs (filesystem mtime), and low disk space. Complements self-audit by mechanically enforcing learning capture habits.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,270 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What It Checks
- Why
- Install
- Learning Libraries
- Configuration
- Examples
- Limitations
- Compatibility
- Quality
- See Also
Files
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# Delivery Gate — Mechanical Quality Gate for Claude Code
A **Stop hook** that checks three things before Claude can finish a session, using only **deterministic checks** — file modification timestamps, disk usage, and regex patterns on the transcript text. No AI inference.
This is distinct from reasoning gates (like `self-audit`): delivery-gate checks machine-verifiable facts; self-audit checks output quality across four reasoning dimensions. Together they form defense in depth:
- **delivery-gate**: "Was the learning library touched today? Is disk space safe?"
- **self-audit**: "Is the file content correct, complete, and honest?"
This is the same pattern as CI pipeline gates — automated, deterministic checks that verify machine-readable facts rather than trusting self-reported status.
## What It Checks
| Check | Mechanism | On Hit |
|-------|-----------|--------|
| Rationalization patterns | Regex on transcript tail | **Warning only** (never blocks) |View the complete source on GitHubdeployment-patterns
When your agent uses it
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
2,946 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Deployment Strategies
- Docker
- CI/CD Pipeline
- Health Checks
- Environment Configuration
- Rollback Strategy
- Production Readiness Checklist
Files
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# Deployment Patterns
Production deployment workflows and CI/CD best practices.
## When to Activate
- Setting up CI/CD pipelines
- Dockerizing an application
- Planning deployment strategy (blue-green, canary, rolling)
- Implementing health checks and readiness probes
- Preparing for a production release
- Configuring environment-specific settings
## Deployment Strategies
View the complete source on GitHubdesign-system
When your agent uses it
Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
671 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Design System — Generate & Audit Visual Systems
## When to Use
- Starting a new project that needs a design system
- Auditing an existing codebase for visual consistency
- Before a redesign — understand what you have
- When the UI looks "off" but you can't pinpoint why
- Reviewing PRs that touch styling
## How It Works
### Mode 1: Generate Design System
Analyzes your codebase and generates a cohesive design system:View the complete source on GitHubdiagnosing-bugs
When your agent uses it
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
2,095 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Phase 1 — Build a feedback loop
- Phase 2 — Reproduce + minimise
- Phase 3 — Hypothesise
- Phase 4 — Instrument
- Phase 5 — Fix + regression test
- Phase 6 — Cleanup + post-mortem
Files
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# Diagnosing Bugs
A discipline for hard bugs. Skip phases only when explicitly justified.
When exploring the codebase, read `CONTEXT.md` (if it exists) to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.
## Phase 1 — Build a feedback loop
**This is the skill.** Everything else is mechanical. If you have a **tight** pass/fail signal for the bug — one that goes red on _this_ bug — you will find the cause; bisection, hypothesis-testing, and instrumentation all just consume it. If you don't have one, no amount of staring at code will save you.
Spend disproportionate effort here. **Be aggressive. Be creative. Refuse to give up.**
### Ways to construct one — try them in roughly this order
1. **Failing test** at whatever seam reaches the bug — unit, integration, e2e.View the complete source on GitHubdigital-avatar-shopping-video
When your agent uses it
小省导购员多智能体数字人口播带货视频生成系统,以"小省导购员"为核心人设,打造专业购物助手+数字人口播带货视频一体化服务。涵盖五大智能体(小省导购员、带货脚本师、数字人口播生成师、带货画面设计师、音画合成师),产出"数字人口播+带货画面+字幕音效"的成品视频,适配抖音、快手等短视频平台,支持淘宝、京东、拼多多、唯品会等全平台商品信息,具备知识库自动存取能力。
What it loads into context
Frontmatter
304 tokensAlways available to the agent
SKILL.md
6,163 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 核心规范与禁忌(不可突破)
- 使用示例
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# 小省导购员多智能体数字人口播带货视频生成系统
## 任务目标
- 本 Skill 用于:生成数字人口播带货视频,打造"小省导购员"人设的带货视频,提供商品搜索、推荐、对比、咨询及售后支持的一体化服务
- 能力包含:
- 五大智能体协作:小省导购员(需求对接)、带货脚本师(脚本创作)、数字人口播生成师(口播音频)、带货画面设计师(动态画面)、音画合成师(成品整合)
- 知识库智能复用:同类商品需求直接调取已生成视频素材,仅新增需求启动创作
- 短视频平台适配:9:16竖屏、15秒-3分钟时长、口播专业接地气、画面贴合商品
- 全平台覆盖:淘宝、京东、拼多多、唯品会等电商平台商品信息
- 触发条件:用户需要生成带货视频、产品推荐视频、价格对比视频或购物咨询视频
## 前置准备
- 无需特殊依赖
- 准备导购信息:
- 目标产品或商品信息View the complete source on GitHubdispatching-parallel-agents
When your agent uses it
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,599 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use
- The Pattern
- Agent Prompt Structure
- Common Mistakes
- When NOT to Use
- Real Example from Session
- Key Benefits
- Verification
- Real-World Impact
Files
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# Dispatching Parallel Agents
## Overview
You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.
When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.
**Core principle:** Dispatch one agent per independent problem domain. Let them work concurrently.
## When to Use
```dot
digraph when_to_use {
"Multiple failures?" [shape=diamond];View the complete source on GitHubdjango-celery
When your agent uses it
Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
3,198 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Project Setup
- Task Design Patterns
- Calling Tasks
- Beat Scheduling (Periodic Tasks)
- Canvas: Chaining and Grouping Tasks
- Error Handling and Dead Letter Queue
- Testing Celery Tasks
- Monitoring
- Anti-Patterns
- Production Checklist
- Related Skills
Files
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# Django + Celery Async Task Patterns
Production-grade patterns for background task processing in Django using Celery with Redis or RabbitMQ.
## When to Activate
- Adding background jobs or async processing to a Django app
- Implementing periodic/scheduled tasks
- Offloading slow operations (email, PDF generation, API calls) from request cycle
- Setting up Celery Beat for cron-like scheduling
- Debugging task failures, retries, or queue backlogs
- Writing tests for Celery tasks
## Project Setup
View the complete source on GitHubdjango-patterns
When your agent uses it
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
4,521 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Project Structure
- Model Design Patterns
- Django REST Framework Patterns
- Service Layer Pattern
- Caching Strategies
- Signals
- Middleware
- Performance Optimization
- Quick Reference
Files
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# Django Development Patterns
Production-grade Django architecture patterns for scalable, maintainable applications.
## When to Activate
- Building Django web applications
- Designing Django REST Framework APIs
- Working with Django ORM and models
- Setting up Django project structure
- Implementing caching, signals, middleware
## Project Structure
### Recommended LayoutView the complete source on GitHubdjango-security
When your agent uses it
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
4,058 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Security Settings
- Authentication
- Authorization
- SQL Injection Prevention
- XSS Prevention
- CSRF Protection
- File Upload Security
- API Security
- Security Headers
- Environment Variables
- Logging Security Events
- Quick Security Checklist
Files
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# Django Security Best Practices
Comprehensive security guidelines for Django applications to protect against common vulnerabilities.
## When to Activate
- Setting up Django authentication and authorization
- Implementing user permissions and roles
- Configuring production security settings
- Reviewing Django application for security issues
- Deploying Django applications to production
## Core Security Settings
### Production Settings ConfigurationView the complete source on GitHubdjango-tdd
When your agent uses it
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
4,613 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- TDD Workflow for Django
- Setup
- Factory Boy
- Model Testing
- View Testing
- DRF API Testing
- Mocking and Patching
- Integration Testing
- Testing Best Practices
- Coverage
- Quick Reference
Files
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# Django Testing with TDD
Test-driven development for Django applications using pytest, factory_boy, and Django REST Framework.
## When to Activate
- Writing new Django applications
- Implementing Django REST Framework APIs
- Testing Django models, views, and serializers
- Setting up testing infrastructure for Django projects
## TDD Workflow for Django
### Red-Green-Refactor Cycle
View the complete source on GitHubdjango-verification
When your agent uses it
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
2,902 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Phase 1: Environment Check
- Phase 2: Code Quality & Formatting
- Phase 3: Migrations
- Phase 4: Tests + Coverage
- Phase 5: Security Scan
- Phase 6: Django Management Commands
- Phase 7: Performance Checks
- Phase 8: Static Assets
- Phase 9: Configuration Review
- Phase 10: Logging Configuration
- Phase 11: API Documentation (if DRF)
- Phase 12: Diff Review
- Output Template
- Pre-Deployment Checklist
- Continuous Integration
- Quick Reference
Files
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# Django Verification Loop
Run before PRs, after major changes, and pre-deploy to ensure Django application quality and security.
## When to Activate
- Before opening a pull request for a Django project
- After major model changes, migration updates, or dependency upgrades
- Pre-deployment verification for staging or production
- Running full environment → lint → test → security → deploy readiness pipeline
- Validating migration safety and test coverage
## Phase 1: Environment Check
```bashView the complete source on GitHubdmux-workflows
When your agent uses it
Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
1,666 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- What is dmux
- Quick Start
- Workflow Patterns
- Best Practices
- Git Worktree Integration
- Complementary Tools
- ECC Helper
- Troubleshooting
Files
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# dmux Workflows
Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses.
## When to Activate
- Running multiple agent sessions in parallel
- Coordinating work across Claude Code, Codex, and other harnesses
- Complex tasks that benefit from divide-and-conquer parallelism
- User says "run in parallel", "split this work", "use dmux", or "multi-agent"
## What is dmux
dmux is a tmux-based orchestration tool that manages AI agent panes:
- Press `n` to create a new pane with a promptView the complete source on GitHubdoc-coauthoring
When your agent uses it
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
What it loads into context
Frontmatter
185 tokensAlways available to the agent
SKILL.md
3,359 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Offer This Workflow
- Stage 1: Context Gathering
- Stage 2: Refinement & Structure
- Stage 3: Reader Testing
- Final Review
- Tips for Effective Guidance
Files
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# Doc Co-Authoring Workflow
This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.
## When to Offer This Workflow
**Trigger conditions:**
- User mentions writing documentation: "write a doc", "draft a proposal", "create a spec", "write up"
- User mentions specific doc types: "PRD", "design doc", "decision doc", "RFC"
- User seems to be starting a substantial writing task
**Initial offer:**
Offer the user a structured workflow for co-authoring the document. Explain the three stages:
1. **Context Gathering**: User provides all relevant context while Claude asks clarifying questionsView the complete source on GitHubdocker-patterns
When your agent uses it
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
2,146 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Docker Compose for Local Development
- Networking
- Volume Strategies
- Container Security
- .dockerignore
- Debugging
- Anti-Patterns
Files
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# Docker Patterns
Docker and Docker Compose best practices for containerized development.
## When to Activate
- Setting up Docker Compose for local development
- Designing multi-container architectures
- Troubleshooting container networking or volume issues
- Reviewing Dockerfiles for security and size
- Migrating from local dev to containerized workflow
## Docker Compose for Local Development
### Standard Web App StackView the complete source on GitHubdocumentation-lookup
When your agent uses it
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
1,247 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Concepts
- When to use
- How it works
- Examples
- Best Practices
Files
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# Documentation Lookup (Context7)
When the user asks about libraries, frameworks, or APIs, fetch current documentation via the Context7 MCP (tools `resolve-library-id` and `query-docs`) instead of relying on training data.
## Core Concepts
- **Context7**: MCP server that exposes live documentation; use it instead of training data for libraries and APIs.
- **resolve-library-id**: Returns Context7-compatible library IDs (e.g. `/vercel/next.js`) from a library name and query.
- **query-docs**: Fetches documentation and code snippets for a given library ID and question. Always call resolve-library-id first to get a valid library ID.
## When to use
Activate when the user:
- Asks setup or configuration questions (e.g. "How do I configure Next.js middleware?")View the complete source on GitHubdocx
When your agent uses it
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
What it loads into context
Frontmatter
280 tokensAlways available to the agent
SKILL.md
5,801 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Reference
- Creating New Documents
- Editing Existing Documents
- XML Reference
- Dependencies
Files
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# DOCX creation, editing, and analysis
## Overview
A .docx file is a ZIP archive containing XML files.
## Quick Reference
| Task | Approach |
|------|----------|
| Read/analyze content | `pandoc` or unpack for raw XML |
| Create new document | Use `docx-js` - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |
### Converting .doc to .docxView the complete source on GitHubdomain-modeling
When your agent uses it
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
886 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- File structure
- During the session
Files
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# Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the *active* discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely *reading* `CONTEXT.md` for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
## File structure
Most repos have a single context:
```
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.mdView the complete source on GitHubdotnet-patterns
When your agent uses it
Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
2,047 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principles
- Async/Await Patterns
- Options Pattern
- Result Pattern
- Repository Pattern with EF Core
- Middleware and Pipeline
- Minimal API Patterns
- Guard Clauses
- Anti-Patterns to Avoid
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# .NET Development Patterns
Idiomatic C# and .NET patterns for building robust, performant, and maintainable applications.
## When to Activate
- Writing new C# code
- Reviewing C# code
- Refactoring existing .NET applications
- Designing service architectures with ASP.NET Core
## Core Principles
### 1. Prefer Immutability
View the complete source on GitHubdream-video-prompt-generator
When your agent uses it
小省导购员数字人带货版即梦视频提示词生成系统,基于四大智能体协同(提示词生成师、质量管控师、知识库运维师、跨环节适配师),按照"主体+运动+场景+(镜头语言+光影+氛围)"公式输出中英文双版提示词,适配5s短视频。确保人物一致性、视觉连贯性、情绪连贯性,支持知识库智能复用和跨工具适配(Suno音乐、AI绘画),为数字人带货视频提供高质量提示词生成服务。
What it loads into context
Frontmatter
289 tokensAlways available to the agent
SKILL.md
3,971 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
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# 小省导购员数字人带货即梦视频提示词生成系统
## 任务目标
- 本 Skill 用于:生成小省导购员数字人带货视频的即梦视频生成提示词
- 能力包含:
- 四大智能体协同:提示词生成师、质量管控师、知识库运维师、跨环节适配师
- 提示词公式驱动:主体+运动+场景+(镜头语言+光影+氛围)
- 中英文双版对应:适配国际AI工具需求
- 一致性保障:人物一致性、视觉连贯性、情绪连贯性
- 知识库智能复用:同类需求直接调取,新增需求迭代优化
- 跨工具适配:联动Suno音乐生成、AI绘画生成
- 触发条件:用户需要生成小省导购员数字人带货视频的提示词
## 前置准备
- 无需特殊依赖View the complete source on GitHubdynamic-workflow-mode
When your agent uses it
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,195 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When To Activate
- Core Contract
- Dynamic Harness Decision Tree
- Task-Local Harness Template
- Shared Skill Extraction
- Control Pane Checkpoints
- Eval Gates
- Anti-Patterns
- Output Standard
Files
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# Dynamic Workflow Mode
Use this skill when a coding agent can generate or adapt a task-local harness instead of only following a static command flow. The goal is to turn dynamic workflow mode into a disciplined system: temporary harnesses for one-off work, shared skill extraction for repeated work, and observable control pane checkpoints for teams.
## When To Activate
- The user mentions dynamic workflows, custom harnesses, harness-per-task, adaptive workflows, or Claude Code dynamic workflow mode.
- A task needs a custom loop, evaluator, crawler, fixture generator, watcher, or local dashboard.
- Multiple agents need the same repeatable process but the process is not yet captured as a shared skill.
- A workflow needs durable handoff artifacts, eval evidence, or operator approval before merge.
## Core Contract
Dynamic workflow mode should produce a task-local harness only when the harness is cheaper and safer than manually driving the same steps. The harness must have:
View the complete source on GitHube2e-testing
When your agent uses it
Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,195 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Test File Organization
- Page Object Model (POM)
- Test Structure
- Playwright Configuration
- Flaky Test Patterns
- Artifact Management
- CI/CD Integration
- Test Report Template
- Wallet / Web3 Testing
- Financial / Critical Flow Testing
Files
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# E2E Testing Patterns
Comprehensive Playwright patterns for building stable, fast, and maintainable E2E test suites.
## Test File Organization
```
tests/
├── e2e/
│ ├── auth/
│ │ ├── login.spec.ts
│ │ ├── logout.spec.ts
│ │ └── register.spec.ts
│ ├── features/
│ │ ├── browse.spec.tsView the complete source on GitHubecc-guide
When your agent uses it
Guide users through ECC's current agents, skills, commands, hooks, rules, install profiles, and project onboarding by reading the live repository surface before answering.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,370 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When To Use
- Core Principle
- Repository Map
- Response Style
- Common Tasks
- Output Templates
- Related Surfaces
Files
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# ECC Guide
Use this skill when a user needs help understanding, navigating, installing, or choosing parts of Everything Claude Code.
## When To Use
Use this skill when the user:
- asks what ECC includes
- wants help finding a skill, command, agent, hook, rule, or install profile
- is new to the repository and needs a guided path
- asks "how do I do X with ECC?"
- asks which ECC components fit a project
- needs a lightweight explanation of how commands, skills, agents, hooks, and rules relate
- is confused by install paths, duplicate installs, reset/uninstall, or selective install optionsView the complete source on GitHubecc-recipes
When your agent uses it
Map a described workflow to the right ECC command-GROUP with run-order and stop condition, and browse all command-group recipe families. Adds a family-grouping + run-order + when-to-stop layer on top of the flat command catalog. Advisory only. TRIGGER when the user says which commands for X, what command group runs X, show ECC recipes, list ECC pipelines, or how do I run a workflow with ECC. DO NOT TRIGGER when the user wants the task executed directly, wants a single-command deep doc (use ecc-guide), or wants a draft prompt rewritten (use prompt-optimizer).
What it loads into context
Frontmatter
234 tokensAlways available to the agent
SKILL.md
1,783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principle
- Family Classification (by prefix)
- How It Works
- Output Template (match mode)
- Examples
- Non-Goals
Files
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# ECC Recipes
One entry point for "which group of ECC slash-commands runs my workflow, in what
order, and when do I stop." Also browses every command-group recipe family.
Fills the gap between two existing skills:
- `ecc-guide` — lists commands and where to read docs, but as a flat catalog.
- `prompt-optimizer` — matches a task to components, but outputs a single prompt,
not a multi-command group with run-order and stop condition.
This skill adds: **family grouping + run-order + stop condition.**
## When to Activate
View the complete source on GitHubecc-tools-cost-audit
When your agent uses it
Evidence-first ECC Tools burn and billing audit workflow. Use when investigating runaway PR creation, quota bypass, premium-model leakage, duplicate jobs, or GitHub App cost spikes in the ECC Tools repo.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,510 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Stack
- When To Use
- Scope Guardrails
- Workflow
- High-Signal Failure Patterns
- Pitfalls
- Verification
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# ECC Tools Cost Audit
Use this skill when the user suspects the ECC Tools GitHub App is burning cost, over-creating PRs, bypassing usage limits, or routing free users into premium analysis paths.
This is a focused operator workflow for the sibling [ECC-Tools](../../ECC-Tools) repo. It is not a generic billing skill and it is not a repo-wide code review pass.
## Skill Stack
Pull these ECC-native skills into the workflow when relevant:
- `autonomous-loops` for bounded multi-step audits that cross webhooks, queues, billing, and retries
- `agentic-engineering` for tracing the request path into discrete, provable units
- `customer-billing-ops` when repo behavior and customer-impact math must be separated cleanly
- `search-first` before inventing helpers or re-implementing repo-local utilities
- `security-review` when auth, usage gates, entitlements, or secrets are touchedView the complete source on GitHubecommerce-copywriter
When your agent uses it
电商图片文案创作技能,支持多品类产品的吸引性文案生成,适用于电商平台的商品营销推广
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
3,338 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
- 质量标准
- 文案结构模板
- 智能体提示词
Files
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# 电商文案创作技能
## 任务目标
- 本技能用于:为电商商品创作具有吸引力的图片文案,提升商品转化率
- 能力包含:
1. 文案生成:根据产品信息、卖点、目标用户生成符合电商平台风格的文案
2. 文案优化:优化已有文案的标题、正文、emoji,提升吸引力和转化率
- 触发条件:用户提出电商文案创作需求、文案优化需求,或需要为电商商品生成营销文案时
## 前置准备
- 无需特殊依赖包
- 无需非标准文件/文件夹
## 操作步骤
View the complete source on GitHubecommerce-video-marketing
When your agent uses it
电商视频营销创作技能,支持多品类商品的营销视频脚本生成,包含6阶段创作流程、智能体提示词框架、8种商品类型模板,适用于电商平台、社交媒体、品牌推广
What it loads into context
Frontmatter
197 tokensAlways available to the agent
SKILL.md
4,897 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 智能体角色定位
- 核心创作流程(6阶段)
- 提示词框架
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
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# 电商视频营销创作技能
## 任务目标
本技能用于生成高质量的电商营销视频脚本,激发用户购买欲望,提升品牌影响力和转化率。核心能力包括:
- 多品类商品视频脚本创作(宠物、家居、美妆、数码、服装、食品、健康等)
- 完整的6阶段视频创作流程(任务启动→需求定义→商品理解→脚本创作→镜头设计→后期优化)
- 智能化的视频叙事结构(痛点切入→产品展示→痛点解决)
- 专业的镜头语言与运镜设计
- 文化适配与本地化优化
触发条件:当用户需要为商品创作营销视频脚本,或需要电商视频营销专业指导时触发。
## 智能体角色定位View the complete source on GitHubedit-article
When your agent uses it
Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
238 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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1. First, divide the article into sections based on its headings. Think about the main points you want to make during those sections.
Consider that information is a directed acyclic graph, and that pieces of information can depend on other pieces of information. Make sure that the order of the sections and their contents respects these dependencies.
Confirm the sections with the user.
2. For each section:
2a. Rewrite the section to improve clarity, coherence, and flow. Use maximum 240 characters per paragraph.View the complete source on GitHubemail-ops
When your agent uses it
Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
863 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Stack
- When to Use
- Guardrails
- Workflow
- Output Format
- Pitfalls
- Verification
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# Email Ops
Use this when the real task is mailbox work: triage, drafting, replying, sending, or proving a message landed in Sent.
This is not a generic writing skill. It is an operator workflow around the actual mail surface.
## Skill Stack
Pull these ECC-native skills into the workflow when relevant:
- `brand-voice` before drafting anything user-facing
- `investor-outreach` for investor, partner, or sponsor-facing mail
- `customer-billing-ops` when the thread is a billing/support incident rather than generic correspondence
- `knowledge-ops` when the message or thread should be captured into durable context afterward
- `research-ops` when a reply depends on fresh external factsView the complete source on GitHubenergy-procurement
When your agent uses it
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.
What it loads into context
Frontmatter
209 tokensAlways available to the agent
SKILL.md
6,423 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Energy Procurement
## Role and Context
You are a senior energy procurement manager at a large commercial and industrial (C&I) consumer with multiple facilities across regulated and deregulated electricity markets. You manage an annual energy spend of $15M–$80M across 10–50+ sites — manufacturing plants, distribution centers, corporate offices, and cold storage. You own the full procurement lifecycle: tariff analysis, supplier RFPs, contract negotiation, demand charge management, renewable energy sourcing, budget forecasting, and sustainability reporting. You sit between operations (who control load), finance (who own the budget), sustainability (who set emissions targets), and executive leadership (who approve long-term commitments like PPAs). Your systems include utility bill management platforms (Urjanet, EnergyCAP), interval data analytics (meter-level 15-minute kWh/kW), energy market data providers (ICE, CME, Platts), and procurement platforms (energy brokers, aggregators, direct ISO market access). You balance cost reduction against budget certainty, sustainability targets, and operational flexibility — because a procurement strategy that saves 8% but exposes the company to a $2M budget variance in a polar vortex year is not a good strategy.
## When to Use
- Running an RFP for electricity or natural gas supply across multiple facilities
- Analyzing tariff structures and rate schedule optimization opportunities
- Evaluating demand charge mitigation strategies (load shifting, battery storage, power factor correction)
- Assessing PPA (Power Purchase Agreement) offers for on-site or virtual renewable energy
- Building annual energy budgets and hedge position strategies
- Responding to market volatility events (polar vortex, heat wave, regulatory changes)
View the complete source on GitHubenterprise-agent-ops
When your agent uses it
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
What it loads into context
Frontmatter
121 tokensAlways available to the agent
SKILL.md
349 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Operational Domains
- Baseline Controls
- Metrics to Track
- Incident Pattern
- Deployment Integrations
Files
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# Enterprise Agent Ops
Use this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions.
## Operational Domains
1. runtime lifecycle (start, pause, stop, restart)
2. observability (logs, metrics, traces)
3. safety controls (scopes, permissions, kill switches)
4. change management (rollout, rollback, audit)
## Baseline Controls
- immutable deployment artifacts
- least-privilege credentialsView the complete source on GitHuberror-handling
When your agent uses it
Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages.
What it loads into context
Frontmatter
130 tokensAlways available to the agent
SKILL.md
2,672 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principles
- TypeScript / JavaScript
- Python
- Go
- Retry with Exponential Backoff
- User-Facing Error Messages
- Error Handling Checklist
Files
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# Error Handling Patterns
Consistent, robust error handling patterns for production applications.
## When to Activate
- Designing error types or exception hierarchies for a new module or service
- Adding retry logic or circuit breakers for unreliable external dependencies
- Reviewing API endpoints for missing error handling
- Implementing user-facing error messages and feedback
- Debugging cascading failures or silent error swallowing
## Core Principles
1. **Fail fast and loudly** — surface errors at the boundary where they occur; don't bury themView the complete source on GitHubeval-harness
When your agent uses it
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
What it loads into context
Frontmatter
125 tokensAlways available to the agent
SKILL.md
1,730 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Philosophy
- Eval Types
- Grader Types
- Metrics
- Eval Workflow
- Integration Patterns
- Eval Storage
- Best Practices
- Example: Adding Authentication
- Product Evals (v1.8)
Files
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# Eval Harness Skill
A formal evaluation framework for Claude Code sessions, implementing eval-driven development (EDD) principles.
## When to Activate
- Setting up eval-driven development (EDD) for AI-assisted workflows
- Defining pass/fail criteria for Claude Code task completion
- Measuring agent reliability with pass@k metrics
- Creating regression test suites for prompt or agent changes
- Benchmarking agent performance across model versions
## Philosophy
Eval-Driven Development treats evals as the "unit tests of AI development":View the complete source on GitHubevm-token-decimals
When your agent uses it
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
1,030 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Rules
Files
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# EVM Token Decimals
Silent decimal mismatches are one of the easiest ways to ship balances or USD values that are off by orders of magnitude without throwing an error.
## When to Use
- Reading ERC-20 balances in Python, TypeScript, or Solidity
- Calculating fiat values from on-chain balances
- Comparing token amounts across multiple EVM chains
- Handling bridged assets
- Building portfolio trackers, bots, or aggregators
## How It Works
Never assume stablecoins use the same decimals everywhere. Query `decimals()` at runtime, cache by `(chain_id, token_address)`, and use decimal-safe math for value calculations.View the complete source on GitHubexa-search
When your agent uses it
Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,008 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- MCP Requirement
- Core Tools
- Usage Patterns
- Tips
- Related Skills
Files
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# Exa Search
> **Drift-prone skill.** Exa MCP tool names, parameters, and account limits can
> change. Confirm the exposed tool surface and current Exa docs before relying
> on a specific search mode, category, or livecrawl behavior.
Neural search for web content, code, companies, and people via the Exa MCP server.
## When to Activate
- User needs current web information or news
- Searching for code examples, API docs, or technical references
- Researching companies, competitors, or market players
- Finding professional profiles or people in a domain
- Running background research for any development taskView the complete source on GitHubexecuting-plans
When your agent uses it
Use when you have a written implementation plan to execute in a separate session with review checkpoints
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
659 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- The Process
- When to Stop and Ask for Help
- When to Revisit Earlier Steps
- Remember
- Integration
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# Executing Plans
## Overview
Load plan, review critically, execute all tasks, report when complete.
**Announce at start:** "I'm using the executing-plans skill to implement this plan."
**Note:** Tell your human partner that Superpowers works much better with access to subagents. The quality of its work will be significantly higher if run on a platform with subagent support (Claude Code, Codex CLI, Codex App, and Copilot CLI all qualify; see the per-platform tool refs in `../using-superpowers/references/`). If subagents are available, use superpowers:subagent-driven-development instead of this skill.
## The Process
### Step 1: Load and Review Plan
1. Read plan file
2. Review critically - identify any questions or concerns about the planView the complete source on GitHubfal-ai-media
When your agent uses it
Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
2,025 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- MCP Requirement
- MCP Tools
- Image Generation
- Video Generation
- Audio Generation
- Cost Estimation
- Model Discovery
- Tips
- Related Skills
Files
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# fal.ai Media Generation
> **Drift-prone skill.** fal.ai model IDs, pricing, inputs, and MCP tool names
> change quickly. Search or fetch the current model metadata before promising a
> specific model, parameter, output format, or cost.
Generate images, videos, and audio using fal.ai models via MCP.
## When to Activate
- User wants to generate images from text prompts
- Creating videos from text or images
- Generating speech, music, or sound effects
- Any media generation task
- User says "generate image", "create video", "text to speech", "make a thumbnail", or similarView the complete source on GitHubfastapi-patterns
When your agent uses it
FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
3,533 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Project Structure
- App Factory and Lifespan
- Configuration with pydantic-settings
- Pydantic Schemas (v2)
- Dependency Injection
- Router and Endpoint Design
- Service Layer
- Testing with httpx and pytest
- Anti-Patterns
- Best Practices
Files
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# FastAPI Patterns
Modern, production-grade FastAPI development: project layout, Pydantic v2 schemas, dependency injection, async patterns, auth, transactional service methods, and testing.
## Project Structure
```text
my_app/
|-- app/
| |-- main.py # App factory, lifespan, middleware
| |-- config.py # Settings via pydantic-settings
| |-- dependencies.py # Shared FastAPI dependencies
| |-- database.py # SQLAlchemy engine + session
| |-- routers/
| | `-- users.pyView the complete source on GitHubfinance-billing-ops
When your agent uses it
Evidence-first revenue, pricing, refunds, team-billing, and billing-model truth workflow for ECC. Use when the user wants a sales snapshot, pricing comparison, duplicate-charge diagnosis, or code-backed billing reality instead of generic payments advice.
What it loads into context
Frontmatter
167 tokensAlways available to the agent
SKILL.md
896 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Stack
- When to Use
- Guardrails
- Workflow
- Output Format
- Pitfalls
- Verification
Files
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# Finance Billing Ops
Use this when the user wants to understand money, pricing, refunds, team-seat logic, or whether the product actually behaves the way the website and sales copy imply.
This is broader than `customer-billing-ops`. That skill is for customer remediation. This skill is for operator truth: revenue state, pricing decisions, team billing, and code-backed billing behavior.
## Skill Stack
Pull these ECC-native skills into the workflow when relevant:
- `customer-billing-ops` for customer-specific remediation and follow-up
- `research-ops` when competitor pricing or current market evidence matters
- `market-research` when the answer should end in a pricing recommendation
- `github-ops` when the billing truth depends on code, backlog, or release state in sibling repos
- `verification-loop` when the answer depends on proving checkout, seat handling, or entitlement behaviorView the complete source on GitHubfinishing-a-development-branch
When your agent uses it
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
1,833 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- The Process
- Quick Reference
- Common Mistakes
- Red Flags
Files
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# Finishing a Development Branch
## Overview
Guide completion of development work by presenting clear options and handling chosen workflow.
**Core principle:** Verify tests → Detect environment → Present options → Execute choice → Clean up.
**Announce at start:** "I'm using the finishing-a-development-branch skill to complete this work."
## The Process
### Step 1: Verify Tests
**Before presenting options, verify tests pass:**View the complete source on GitHubflox-environments
When your agent uses it
Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains for any language, installing system-level dependencies (compilers, databases, native libs like openssl/BLAS), pinning exact package versions for a team, running local services (PostgreSQL, Redis, Kafka), onboarding developers with one command, or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
What it loads into context
Frontmatter
262 tokensAlways available to the agent
SKILL.md
3,837 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Essential Commands
- Manifest Structure
- Package Installation Patterns
- Language-Specific Recipes
- Hooks and Profile
- Anti-Patterns
- Full-Stack Example
- Environment Sharing
- AI-Assisted and Vibe Coding
- Debugging
- Related Skills
Files
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# Flox Environments
Flox creates reproducible development environments defined in a single TOML manifest. Every developer on the team gets identical packages, tools, and configuration — across macOS and Linux — without containers or VMs. Built on Nix with access to over 150,000 packages.
## When to Activate
Use this skill when the user has an environment management problem — even if they haven't mentioned Flox. Flox is the right tool when:
- The project needs **system-level packages** (compilers, databases, CLI tools) alongside language-specific dependencies
- **Reproducibility matters** — the setup should work identically on a teammate's machine, in CI, or on a fresh laptop
- The user needs **multiple tools to coexist** — e.g., Python 3.11 + PostgreSQL 16 + Redis + Node.js in one environment
- **Cross-platform support** is needed (macOS and Linux from the same config)
- **AI agents need to install tools** — Flox lets agents add packages to a project-scoped environment without sudo, system pollution, or sandbox restrictions
If the user just needs a single language runtime with no system dependencies, standard tooling (nvm, pyenv, rustup alone) may suffice. If they need full OS-level isolation, containers might be more appropriate. Flox sits in the sweet spot: declarative, reproducible environments without container overhead.View the complete source on GitHubflutter-dart-code-review
When your agent uses it
Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
5,340 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. General Project Health
- 2. Dart Language Pitfalls
- 3. Widget Best Practices
- 4. State Management (Library-Agnostic)
- 5. Performance
- 6. Testing
- 7. Accessibility
- 8. Platform-Specific Concerns
- 9. Security
- 10. Package/Dependency Review
- 11. Navigation and Routing
- 12. Error Handling
- 13. Internationalization (l10n)
- 14. Dependency Injection
- 15. Static Analysis
- State Management Quick Reference
- Sources
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# Flutter/Dart Code Review Best Practices
Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.
---
## 1. General Project Health
- [ ] Project follows consistent folder structure (feature-first or layer-first)
- [ ] Proper separation of concerns: UI, business logic, data layers
- [ ] No business logic in widgets; widgets are purely presentational
- [ ] `pubspec.yaml` is clean — no unused dependencies, versions pinned appropriately
- [ ] `analysis_options.yaml` includes a strict lint set with strict analyzer settings enabled
- [ ] No `print()` statements in production code — use `dart:developer` `log()` or a logging package
- [ ] Generated files (`.g.dart`, `.freezed.dart`, `.gr.dart`) are up-to-date or in `.gitignore`View the complete source on GitHubfoundation-models-on-device
When your agent uses it
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
1,828 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Pattern — Availability Check
- Core Pattern — Basic Session
- Core Pattern — Guided Generation with @Generable
- Core Pattern — Tool Calling
- Core Pattern — Snapshot Streaming
- Key Design Decisions
- Best Practices
- Anti-Patterns to Avoid
- When to Use
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# FoundationModels: On-Device LLM (iOS 26)
Patterns for integrating Apple's on-device language model into apps using the FoundationModels framework. Covers text generation, structured output with `@Generable`, custom tool calling, and snapshot streaming — all running on-device for privacy and offline support.
## When to Activate
- Building AI-powered features using Apple Intelligence on-device
- Generating or summarizing text without cloud dependency
- Extracting structured data from natural language input
- Implementing custom tool calling for domain-specific AI actions
- Streaming structured responses for real-time UI updates
- Need privacy-preserving AI (no data leaves the device)
## Core Pattern — Availability Check
View the complete source on GitHubfrontend-a11y
When your agent uses it
Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building any interactive UI component or form.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,114 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Form Accessibility
- Semantic HTML
- ARIA Attributes
- Keyboard Navigation
- Focus Management
- Images and Icons
- Reduced Motion
- Anti-Patterns
- Checklist
- Related Skills
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# Frontend Accessibility Patterns
Practical accessibility patterns for React and Next.js. Covers the issues most commonly flagged in code review: missing form labels, incorrect ARIA usage, non-semantic interactive elements, and broken keyboard navigation.
## When to Activate
- Building or reviewing form components (`<input>`, `<select>`, `<textarea>`)
- Creating interactive elements (modals, dropdowns, tooltips, tabs)
- Using `<div>` or `<span>` with `onClick`
- Adding `aria-*` attributes to any element
- Implementing keyboard navigation or focus management
- Receiving accessibility feedback from code review tools (CodeRabbit, ESLint a11y)
- Building components that must support screen readers
## Form AccessibilityView the complete source on GitHubfrontend-design
When your agent uses it
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
907 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Design Thinking
- Frontend Aesthetics Guidelines
Files
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This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
## Design Thinking
Before coding, understand the context and commit to a BOLD aesthetic direction:
- **Purpose**: What problem does this interface solve? Who uses it?
- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
- **Constraints**: Technical requirements (framework, performance, accessibility).
- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember?
**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity.
Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:View the complete source on GitHubfrontend-design-direction
When your agent uses it
Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
985 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Design Direction
- Implementation Guidance
- Anti-Patterns
- Review Checklist
Files
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# Frontend Design Direction
Use this skill when the work is not just making UI function, but making it feel
purposeful, polished, and appropriate to the product domain.
Source: salvaged from stale community PR #1659 by `linus707`.
Note: ECC intentionally does not rebundle the canonical Anthropic
`frontend-design` skill. Install that from `anthropics/skills` when you want the
official upstream skill. This skill is the ECC-specific design-direction salvage
of the useful local guidance from #1659.
## When to Use
- The user asks to build a web page, app, dashboard, artifact, component, or UI.View the complete source on GitHubfrontend-patterns
When your agent uses it
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
What it loads into context
Frontmatter
126 tokensAlways available to the agent
SKILL.md
3,881 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Component Patterns
- Custom Hooks Patterns
- State Management Patterns
- Performance Optimization
- Form Handling Patterns
- Error Boundary Pattern
- Animation Patterns
- Accessibility Patterns
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# Frontend Development Patterns
Modern frontend patterns for React, Next.js, and performant user interfaces.
## When to Activate
- Building React components (composition, props, rendering)
- Managing state (useState, useReducer, Zustand, Context)
- Implementing data fetching (SWR, React Query, server components)
- Optimizing performance (memoization, virtualization, code splitting)
- Working with forms (validation, controlled inputs, Zod schemas)
- Handling client-side routing and navigation
- Building accessible, responsive UI patterns
## Component PatternsView the complete source on GitHubfrontend-slides
When your agent uses it
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.
What it loads into context
Frontmatter
169 tokensAlways available to the agent
SKILL.md
1,566 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Non-Negotiables
- Workflow
- PPT / PPTX Conversion
- Implementation Requirements
- Content Density Limits
- Anti-Patterns
- Related ECC Skills
- Deliverable Checklist
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# Frontend Slides
Create zero-dependency, animation-rich HTML presentations that run entirely in the browser.
Inspired by the visual exploration approach showcased in work by zarazhangrui (credit: @zarazhangrui).
## When to Activate
- Creating a talk deck, pitch deck, workshop deck, or internal presentation
- Converting `.ppt` or `.pptx` slides into an HTML presentation
- Improving an existing HTML presentation's layout, motion, or typography
- Exploring presentation styles with a user who does not know their design preference yet
## Non-Negotiables
View the complete source on GitHubfsharp-testing
When your agent uses it
F# testing patterns with xUnit, FsUnit, Unquote, FsCheck property-based testing, integration tests, and test organization best practices.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,028 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Test Framework Stack
- Unit Tests with xUnit + FsUnit
- Property-Based Testing with FsCheck
- Mocking Dependencies
- ASP.NET Core Integration Tests
- Test Organization
- Common Anti-Patterns
- Related Skills
- Running Tests
Files
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# F# Testing Patterns
Comprehensive testing patterns for F# applications using xUnit, FsUnit, Unquote, FsCheck, and modern .NET testing practices.
## When to Activate
- Writing new tests for F# code
- Reviewing test quality and coverage
- Setting up test infrastructure for F# projects
- Debugging flaky or slow tests
## Test Framework Stack
| Tool | Purpose |
|---|---|View the complete source on GitHubgan-style-harness
When your agent uses it
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,927 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Insight
- When to Use
- When NOT to Use
- Architecture
- The Three Agents
- Evaluation Criteria
- Usage
- Evolution Across Model Capabilities
- Configuration
- Anti-Patterns
- Results: What to Expect
- References
Files
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# GAN-Style Harness Skill
> Inspired by [Anthropic's Harness Design for Long-Running Application Development](https://www.anthropic.com/engineering/harness-design-long-running-apps) (March 24, 2026)
A multi-agent harness that separates **generation** from **evaluation**, creating an adversarial feedback loop that drives quality far beyond what a single agent can achieve.
## Core Insight
> When asked to evaluate their own work, agents are pathological optimists — they praise mediocre output and talk themselves out of legitimate issues. But engineering a **separate evaluator** to be ruthlessly strict is far more tractable than teaching a generator to self-critique.
This is the same dynamic as GANs (Generative Adversarial Networks): the Generator produces, the Evaluator critiques, and that feedback drives the next iteration.
## When to Use
- Building complete applications from a one-line promptView the complete source on GitHubgateguard
When your agent uses it
Fact-forcing gate that blocks Edit/Write/Bash (including MultiEdit) and demands concrete investigation (importers, data schemas, user instruction) before allowing the action. Measurably improves output quality by +2.25 points vs ungated agents.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,337 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concept
- Evidence
- Gate Types
- Quick Start
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# GateGuard — Fact-Forcing Pre-Action Gate
A PreToolUse hook that forces Claude to investigate before editing. Instead of self-evaluation ("are you sure?"), it demands concrete facts. The act of investigation creates awareness that self-evaluation never did.
## When to Activate
- Working on any codebase where file edits affect multiple modules
- Projects with data files that have specific schemas or date formats
- Teams where AI-generated code must match existing patterns
- Any workflow where Claude tends to guess instead of investigating
## Core Concept
LLM self-evaluation doesn't work. Ask "did you violate any policies?" and the answer is always "no." This is verified experimentally.
View the complete source on GitHubgenerating-python-installer
When your agent uses it
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use only for advanced packaging/optimization (minimal size, fast startup), not basic script-to-exe conversion. 中文触发:Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格
What it loads into context
Frontmatter
222 tokensAlways available to the agent
SKILL.md
9,098 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- How It Works
- Examples
- 核心理念
- 实战参考案例(生产级 PySide2 桌面应用,323 MB,含 OpenCV / Playwright)
- 核心工作流 (Workflow) - WARNING: 严格执行
- Nuitka 极限优化编译(基于 参考项目经验)
- 完整优化工作流
- VC++ 运行库处理方案
- Inno Setup 脚本模板(商业终极版)
- 占位符说明
- 常见问题 (FAQ)
- 实战问题处理记录(更新 2026-02-07)
- 优化效果预期
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# Generating Python Installer (Commercial-Grade)
You are a **Python commercial deployment expert**. Your goal is the **smallest, fastest-starting, cleanest** Windows installer. The core approach is **"Nuitka folder mode (dist) + Inno Setup packaging"** — no single-file builds, no stray console window.
## When to Activate
Activate when the user explicitly asks for **advanced** Python packaging or size/startup optimization on Windows:
- Nuitka extreme / commercial-grade compilation, smallest-size or fastest-startup builds
- `dist` folder slimming, DLL footprint analysis, 32-bit vs 64-bit size tradeoffs
- Inno Setup packaging with full metadata and a clean, residue-free uninstall
This skill targets advanced size/startup optimization — not basic one-file "script to exe" conversion.
## How It WorksView the complete source on GitHubgget
When your agent uses it
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
1,294 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Installation
- Basic Patterns
- Common Modules
- Quick Examples
- Reproducibility Log
- Review Checklist
- References
Files
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# gget
Use this skill when a task needs quick bioinformatics lookup across genomic
reference databases with the `gget` CLI or Python package.
## When to Use
- Finding Ensembl IDs, gene metadata, transcript details, or sequences.
- Running quick BLAST or BLAT lookups without building a full local pipeline.
- Fetching reference genome links and annotations from Ensembl.
- Querying protein structure, pathway, cancer, expression, or disease-association
modules through a single interface.
- Creating a reproducible first-pass evidence log before moving to heavier
tools such as Biopython, Snakemake, Nextflow, BLAST+, or database-specific
clients.View the complete source on GitHubgit-guardrails-claude-code
When your agent uses it
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
What it loads into context
Frontmatter
186 tokensAlways available to the agent
SKILL.md
709 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What Gets Blocked
- Steps
Files
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# Setup Git Guardrails
Sets up a PreToolUse hook that intercepts and blocks dangerous git commands before Claude executes them.
## What Gets Blocked
- `git push` (all variants including `--force`)
- `git reset --hard`
- `git clean -f` / `git clean -fd`
- `git branch -D`
- `git checkout .` / `git restore .`
When blocked, Claude sees a message telling it that it does not have authority to access these commands.
## StepsView the complete source on GitHubgit-workflow
When your agent uses it
Git workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
3,981 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Branching Strategies
- Commit Messages
- Merge vs Rebase
- Pull Request Workflow
- Conflict Resolution
- Branch Management
- Release Management
- Git Configuration
- Common Workflows
- Git Hooks
- Anti-Patterns
- Quick Reference
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# Git Workflow Patterns
Best practices for Git version control, branching strategies, and collaborative development.
## When to Activate
- Setting up Git workflow for a new project
- Deciding on branching strategy (GitFlow, trunk-based, GitHub flow)
- Writing commit messages and PR descriptions
- Resolving merge conflicts
- Managing releases and version tags
- Onboarding new team members to Git practices
## Branching Strategies
View the complete source on GitHubgithub-ops
When your agent uses it
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.
What it loads into context
Frontmatter
175 tokensAlways available to the agent
SKILL.md
1,247 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Tool Requirements
- Issue Triage
- PR Management
- CI/CD Operations
- Release Management
- Security Monitoring
- Quality Gate
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# GitHub Operations
Manage GitHub repositories with a focus on community health, CI reliability, and contributor experience.
## When to Activate
- Triaging issues (classifying, labeling, responding, deduplicating)
- Managing PRs (review status, CI checks, stale PRs, merge readiness)
- Debugging CI/CD failures
- Preparing releases and changelogs
- Monitoring Dependabot and security alerts
- Managing contributor experience on open-source projects
- User says "check GitHub", "triage issues", "review PRs", "merge", "release", "CI is broken"
## Tool RequirementsView the complete source on GitHubgolang-patterns
When your agent uses it
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
3,538 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principles
- Error Handling Patterns
- Concurrency Patterns
- Interface Design
- Package Organization
- Struct Design
- Memory and Performance
- Go Tooling Integration
- Quick Reference: Go Idioms
- Anti-Patterns to Avoid
Files
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# Go Development Patterns
Idiomatic Go patterns and best practices for building robust, efficient, and maintainable applications.
## When to Activate
- Writing new Go code
- Reviewing Go code
- Refactoring existing Go code
- Designing Go packages/modules
## Core Principles
### 1. Simplicity and Clarity
View the complete source on GitHubgolang-testing
When your agent uses it
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
4,378 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- TDD Workflow for Go
- Table-Driven Tests
- Subtests and Sub-benchmarks
- Test Helpers
- Golden Files
- Mocking with Interfaces
- Benchmarks
- Fuzzing (Go 1.18+)
- Test Coverage
- HTTP Handler Testing
- Testing Commands
- Best Practices
- Integration with CI/CD
Files
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# Go Testing Patterns
Comprehensive Go testing patterns for writing reliable, maintainable tests following TDD methodology.
## When to Activate
- Writing new Go functions or methods
- Adding test coverage to existing code
- Creating benchmarks for performance-critical code
- Implementing fuzz tests for input validation
- Following TDD workflow in Go projects
## TDD Workflow for Go
### The RED-GREEN-REFACTOR CycleView the complete source on GitHubgoogle-workspace-ops
When your agent uses it
Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
686 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Preferred Tool Surface
- Workflow
- Output Format
- Good Use Cases
Files
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# Google Workspace Ops
This skill is for operating shared docs, spreadsheets, and decks as working systems, not just editing one file in isolation.
## When to Use
- User needs to find a doc, sheet, or deck and update it in place
- Consolidating plans, trackers, notes, or customer lists stored in Google Drive
- Cleaning or restructuring a shared spreadsheet
- Importing, repairing, or reformatting a Google Slides deck
- Producing summaries from Docs, Sheets, or Slides for decision-making
## Preferred Tool Surface
Use Google Drive as the entry point, then switch to the right specialist:View the complete source on GitHubgrill-me
When your agent uses it
A relentless interview to sharpen a plan or design.
What it loads into context
Frontmatter
97 tokensAlways available to the agent
SKILL.md
108 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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grill-with-docs
When your agent uses it
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
154 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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Run a `/grilling` session, using the `/domain-modeling` skill.View the complete source on GitHubgrilling
When your agent uses it
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
What it loads into context
Frontmatter
138 tokensAlways available to the agent
SKILL.md
267 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.
If a *fact* can be found by exploring the codebase, look it up rather than asking me. The *decisions*, though, are mine — put each one to me and wait for my answer.
Do not enact the plan until I confirm we have reached a shared understanding.View the complete source on GitHubgrowth-log
When your agent uses it
Use after a complex task, failure, or when reviewing what was learned. Teaches how to write growth logs that extract reusable patterns — not diary entries.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
1,586 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- The Three Rules
- Entry Template
- Entry Types
- Quality Checklist
- Anti-Patterns
- Storage
- If You Use Delivery Gate
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# Growth Log Skill
> **The problem:** Most people write "fixed a bug in X" as a learning log. That's a diary entry, not a learning artifact. A real growth log extracts the *pattern* so you recognize it next time.
>
> **This skill teaches:** How to write learning entries that compound across sessions. Works with any note-taking system — Markdown files, Notion, Obsidian, plain text. Templates are generic; adapt to your setup.
## When to Activate
- After completing a complex task (multi-file, new feature, architecture change)
- After a failure, mistake, or "that was harder than expected" moment
- When you want to review what you've learned over a period
**When NOT to activate:** Trivial changes (typo fixes, single-line tweaks, config value changes with no debugging). The threshold: *did this task involve debugging, redoing, rollback, or a non-obvious decision?* If yes → write an entry. If no → skip.
## The Three RulesView the complete source on GitHubhandoff
When your agent uses it
Compact the current conversation into a handoff document for another agent to pick up.
What it loads into context
Frontmatter
110 tokensAlways available to the agent
SKILL.md
244 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save to the temporary directory of the user's OS - not the current workspace.
Include a "suggested skills" section in the document, which suggests skills that the agent should invoke.
Do not duplicate content already captured in other artifacts (specs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.View the complete source on GitHubhealthcare-cdss-patterns
When your agent uses it
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
2,358 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Healthcare CDSS Development Patterns
Patterns for building Clinical Decision Support Systems that integrate into EMR workflows. CDSS modules are patient safety critical — zero tolerance for false negatives.
## When to Use
- Implementing drug interaction checking
- Building dose validation engines
- Implementing clinical scoring systems (NEWS2, qSOFA, APACHE, GCS)
- Designing alert systems for abnormal clinical values
- Building medication order entry with safety checks
- Integrating lab result interpretation with clinical context
## How It Works
View the complete source on GitHubhealthcare-emr-patterns
When your agent uses it
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
1,526 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Healthcare EMR Development Patterns
Patterns for building Electronic Medical Record (EMR) and Electronic Health Record (EHR) systems. Prioritizes patient safety, clinical accuracy, and practitioner efficiency.
## When to Use
- Building patient encounter workflows (complaint, exam, diagnosis, prescription)
- Implementing clinical note-taking (structured + free text + voice-to-text)
- Designing prescription/medication modules with drug interaction checking
- Integrating Clinical Decision Support Systems (CDSS)
- Building lab result displays with reference range highlighting
- Implementing audit trails for clinical data
- Designing healthcare-accessible UIs for clinical data entry
## How It WorksView the complete source on GitHubhealthcare-eval-harness
When your agent uses it
Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
2,126 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Healthcare Eval Harness — Patient Safety Verification
Automated verification system for healthcare application deployments. A single CRITICAL failure blocks deployment. Patient safety is non-negotiable.
> **Note:** Examples use Jest as the reference test runner. Adapt commands for your framework (Vitest, pytest, PHPUnit, etc.) — the test categories and pass thresholds are framework-agnostic.
## When to Use
- Before any deployment of EMR/EHR applications
- After modifying CDSS logic (drug interactions, dose validation, scoring)
- After changing database schemas that touch patient data
- After modifying authentication or access control
- During CI/CD pipeline configuration for healthcare apps
- After resolving merge conflicts in clinical modules
View the complete source on GitHubhealthcare-phi-compliance
When your agent uses it
Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,304 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Healthcare PHI/PII Compliance Patterns
Patterns for protecting patient data, clinician data, and financial data in healthcare applications. Applicable to HIPAA (US), DISHA (India), GDPR (EU), and general healthcare data protection.
## When to Use
- Building any feature that touches patient records
- Implementing access control or authentication for clinical systems
- Designing database schemas for healthcare data
- Building APIs that return patient or clinician data
- Implementing audit trails or logging
- Reviewing code for data exposure vulnerabilities
- Setting up Row-Level Security (RLS) for multi-tenant healthcare systems
## How It WorksView the complete source on GitHubhermes-imports
When your agent uses it
Convert local Hermes operator workflows into sanitized ECC skills and release-pack artifacts. Use when preparing a Hermes workflow for public ECC reuse without leaking private workspace state, credentials, or local-only paths.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
702 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When To Use
- Import Rules
- Sanitization Checklist
- Conversion Pattern
- Example: Launch Handoff
- Example: Quiet-Hours Operator Job
- Output Contract
Files
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# Hermes Imports
Use this skill when turning a repeated Hermes workflow into something safe to ship in ECC.
Hermes is the operator shell. ECC is the reusable workflow layer. Imports should move stable patterns from Hermes into ECC without moving private state.
## When To Use
- A Hermes workflow has repeated enough times to become reusable.
- A local operator prompt should become a public ECC skill.
- A launch, content, research, or engineering workflow needs sanitized handoff docs.
- A workflow mentions local paths, credentials, personal datasets, or private account names that must be removed before publication.
## Import Rules
View the complete source on GitHubhexagonal-architecture
When your agent uses it
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
2,476 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Core Concepts
- How It Works
- Architecture Diagram
- Suggested Module Layout
- TypeScript Example
- Multi-Language Mapping
- Anti-Patterns to Avoid
- Migration Playbook
- Testing Guidance (Same Hexagonal Boundaries)
- Best Practices Checklist
Files
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# Hexagonal Architecture
Hexagonal architecture (Ports and Adapters) keeps business logic independent from frameworks, transport, and persistence details. The core app depends on abstract ports, and adapters implement those ports at the edges.
## When to Use
- Building new features where long-term maintainability and testability matter.
- Refactoring layered or framework-heavy code where domain logic is mixed with I/O concerns.
- Supporting multiple interfaces for the same use case (HTTP, CLI, queue workers, cron jobs).
- Replacing infrastructure (database, external APIs, message bus) without rewriting business rules.
Use this skill when the request involves boundaries, domain-centric design, refactoring tightly coupled services, or decoupling application logic from specific libraries.
## Core Concepts
View the complete source on GitHubhipaa-compliance
When your agent uses it
HIPAA-specific entrypoint for healthcare privacy and security work. Use when a task is explicitly framed around HIPAA, PHI handling, covered entities, BAAs, breach posture, or US healthcare compliance requirements.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
864 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- HIPAA-Specific Guardrails
- Examples
- Related Skills
Files
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# HIPAA Compliance
Use this as the HIPAA-specific entrypoint when a task is clearly about US healthcare compliance. This skill intentionally stays thin and canonical:
- `healthcare-phi-compliance` remains the primary implementation skill for PHI/PII handling, data classification, audit logging, encryption, and leak prevention.
- `healthcare-reviewer` remains the specialized reviewer when code, architecture, or product behavior needs a healthcare-aware second pass.
- `security-review` still applies for general auth, input-handling, secrets, API, and deployment hardening.
## When to Use
- The request explicitly mentions HIPAA, PHI, covered entities, business associates, or BAAs
- Building or reviewing US healthcare software that stores, processes, exports, or transmits PHI
- Assessing whether logging, analytics, LLM prompts, storage, or support workflows create HIPAA exposure
- Designing patient-facing or clinician-facing systems where minimum necessary access and auditability matter
View the complete source on GitHubhistorical-interview-scripts
When your agent uses it
生成历史名人现代访谈短视频文案,通过古今反差与网络热梗的爆笑结合,创作具有传播力的虚构趣味内容
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
4,262 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 操作步骤
- 资源索引
- 注意事项
- 角色设定
- 核心技能
- 约束条件
- 语气风格
- 输出格式
- 使用示例
Files
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# 历史名人访谈短视频文案生成 Skill
## 任务目标
- 本 Skill 用于:创作"现代访谈秀"形式的历史名人虚构访谈短视频文案
- 能力包含:
- 古今反差与喜剧效果构建
- 网络热梗与历史元素的融合
- 短视频结构化文案输出
- 触发条件:用户要求创作历史人物访谈、趣味历史内容、短视频文案等
## 操作步骤
### 标准流程
1. **理解需求**
- 确定访谈的历史人物(可参考 [references/historical-characters.md](references/historical-characters.md))View the complete source on GitHubhistorical-science-video-prod
When your agent uses it
自动化生成历史科学类3分钟科普短视频的全流程素材包,包含口播文案、分镜脚本、Veo2提示词、人物形象规范等,适配即梦平台视频生成。
What it loads into context
Frontmatter
188 tokensAlways available to the agent
SKILL.md
1,027 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# 历史科学类科普短视频自动化生成 Skill
## 任务目标
- 本 Skill 用于:自动化生成历史科学类3分钟科普短视频的全流程素材
- 能力包含:口播文案创作、分镜脚本规划、Veo2提示词生成、人物形象设计
- 触发条件:用户需要制作历史科学类科普视频,希望快速获得完整的素材包
## 前置准备
- 依赖说明:无需额外安装,依赖包已在 dependency 字段中声明
- 输入要求:用户提供科普主题、年代背景、核心科学结论
## 操作步骤
- 标准流程:
1. **准备输入信息**
- 确定科普主题(如"蝴蝶效应的起源"、"青霉素的发现")View the complete source on GitHubhomelab-network-readiness
When your agent uses it
Readiness checklist for homelab VLAN segmentation, local DNS filtering, and WireGuard-style remote access before changing router, firewall, DHCP, or VPN configuration.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,731 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Safety Rules
- Required Inventory
- VLAN And Trust-Zone Plan
- DNS Filtering Readiness
- Remote Access Readiness
- Change Sequence
- Review Checklist
- Anti-Patterns
- See Also
Files
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# Homelab Network Readiness
Use this skill before changing a home or small-lab network that mixes VLANs,
Pi-hole or another local DNS resolver, firewall rules, and remote VPN access.
This is a planning and review skill. Do not turn it into copy-paste router,
firewall, or VPN configuration unless the target platform, current topology,
rollback path, console access, and maintenance window are all known.
## When to Use
- Preparing to split a flat network into trusted, IoT, guest, server, or
management VLANs.
- Moving DHCP clients to Pi-hole, AdGuard Home, Unbound, or another local DNS
resolver.View the complete source on GitHubhomelab-network-setup
When your agent uses it
Practical home and homelab network planning for gateways, switches, access points, IP ranges, DHCP reservations, DNS, cabling, and common beginner mistakes.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
1,151 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- IP Plan
- DHCP And DNS
- Cabling And Wi-Fi
- Examples
- Anti-Patterns
- See Also
Files
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# Homelab Network Setup
Use this skill to design a home or small-lab network that can grow without
needing a full rebuild.
## When to Use
- Planning a new home network or redesigning an ISP-router-only setup.
- Choosing gateway, switch, and access point roles.
- Designing IP ranges, DHCP scopes, static reservations, and DNS.
- Preparing for future VLANs, Pi-hole, NAS, lab servers, or VPN access.
- Troubleshooting a new network that has double NAT, unstable Wi-Fi, or changing
server addresses.
## How It WorksView the complete source on GitHubhomelab-pihole-dns
When your agent uses it
Pi-hole installation, blocklist management, DNS-over-HTTPS setup, DHCP integration, local DNS records, and troubleshooting broken DNS resolution on a home network.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
2,510 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How Pi-hole Works
- Installation
- Pointing Your Network at Pi-hole
- Blocklist Management
- DNS-over-HTTPS Upstream
- Local DNS Records
- Troubleshooting
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Homelab Pi-hole DNS
Pi-hole is a network-wide DNS ad blocker that runs on a Raspberry Pi or any Linux host.
Every device on your network gets ad and malware domain blocking automatically — no browser
extension needed.
## When to Use
- Installing Pi-hole on a Raspberry Pi or Linux host
- Configuring Pi-hole as the DNS server for a home network
- Adding or managing blocklists
- Setting up DNS-over-HTTPS (DoH) upstream resolvers
- Creating local DNS records (e.g. `nas.home.lan`, `pi.home.lan`)
- Troubleshooting devices that lose internet access after Pi-hole is installed
- Running Pi-hole alongside or instead of DHCPView the complete source on GitHubhomelab-vlan-segmentation
When your agent uses it
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping.
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
3,074 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- VLAN Design Template
- Examples
- UniFi Configuration
- pfSense / OPNsense Configuration
- MikroTik Configuration
- Switch Trunk vs Access Ports
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Homelab VLAN Segmentation
How to split a home network into isolated VLANs so IoT devices, guests, and your main
PCs cannot talk to each other. The most impactful security upgrade for a home network.
All firewall rules shown here add isolation between segments — they do not remove
existing protections. Apply changes in a maintenance window and verify connectivity
between segments after each step before moving on.
## When to Use
- Setting up VLANs on a home network for the first time
- Isolating IoT devices (smart bulbs, cameras, TVs) from trusted devices
- Creating a guest Wi-Fi network that cannot reach home devices
- Explaining how VLANs work to someone unfamiliar with the conceptView the complete source on GitHubhomelab-wireguard-vpn
When your agent uses it
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
2,918 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How WireGuard Works
- Server Setup (Linux)
- Client Configuration
- Split Tunnel vs Full Tunnel
- Key Generation and Peer Management
- pfSense / OPNsense WireGuard
- DDNS (Dynamic DNS) for Home Servers
- Troubleshooting
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Homelab WireGuard VPN
WireGuard is a fast, modern VPN protocol. It is the right choice for remote access to a
home network — simpler to configure than OpenVPN and faster than most alternatives.
All configuration examples show common setups. Review each command — especially the
iptables forwarding rules and key file permissions — before applying them to your
system, and make changes in a maintenance window.
## When to Use
- Setting up WireGuard server on a Raspberry Pi, Linux host, pfSense, or router
- Generating WireGuard keypairs and writing peer config files
- Configuring remote access from a phone or laptop to a home network
- Explaining split tunneling (route only home traffic) vs full tunnel (route all traffic)View the complete source on GitHubhookify-rules
When your agent uses it
This skill should be used when the user asks to create a hookify rule, write a hook rule, configure hookify, add a hookify rule, or needs guidance on hookify rule syntax and patterns.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
1,025 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Rule File Format
- Event Type Guide
- Pattern Writing Tips
- File Organization
- Commands
- Quick Reference
Files
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# Writing Hookify Rules
## Overview
Hookify rules are markdown files with YAML frontmatter that define patterns to watch for and messages to show when those patterns match. Rules are stored in `.claude/hookify.{rule-name}.local.md` files.
## Rule File Format
### Basic Structure
```markdown
---
name: rule-identifier
enabled: true
event: bash|file|stop|prompt|allView the complete source on GitHubimplement
When your agent uses it
Implement a piece of work based on a spec or set of tickets.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
174 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
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Implement the work described by the user in the spec or tickets.
Use /tdd where possible, at pre-agreed seams.
Run typechecking regularly, single test files regularly, and the full test suite once at the end.
Once done, use /code-review to review the work.
Commit your work to the current branch.View the complete source on GitHubimprove-codebase-architecture
When your agent uses it
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,311 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Process
Files
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# Improve Codebase Architecture
Surface architectural friction and propose **deepening opportunities** — refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.
This command is _informed_ by the project's domain model and built on a shared design vocabulary:
- Run the `/codebase-design` skill for the architecture vocabulary (**module**, **interface**, **depth**, **seam**, **adapter**, **leverage**, **locality**) and its principles (the deletion test, "the interface is the test surface", "one adapter = hypothetical seam, two = real"). Use these terms exactly in every suggestion — don't drift into "component," "service," "API," or "boundary."
- The domain language in `CONTEXT.md` gives names to good seams; ADRs in `docs/adr/` record decisions this command should not re-litigate.
## Process
### 1. Explore
Read the project's domain glossary (`CONTEXT.md`) and any ADRs in the area you're touching first.
View the complete source on GitHubinfinitetalk
When your agent uses it
音频驱动的稀疏帧视频配音工具,支持音频驱动的 Video-to-Video 和 Image-to-Video 生成,实现精准的唇形、头部、身体姿态同步,支持无限时长视频生成
What it loads into context
Frontmatter
193 tokensAlways available to the agent
SKILL.md
1,556 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# InfiniteTalk - 音频驱动视频生成
## 任务目标
- 本 Skill 用于:将音频(语音)转换为同步的说话人视频,支持从单张图片或现有视频生成音频驱动的说话视频
- 能力包含:
- Image-to-Video:从单张图片生成音频驱动的说话视频
- Video-to-Video:对现有视频进行音频驱动的重配音
- 多维度同步:唇形、头部运动、身体姿态、面部表情与音频精准对齐
- 无限时长:支持无限制时长的视频生成
- 低显存适配:支持量化、模型卸载等显存优化方案
- 触发条件:当需要生成音频驱动的数字人视频、视频配音、虚拟主播内容时使用
## 前置准备
- 模型下载:在使用本 Skill 前,必须先下载所需的模型权重文件,具体步骤见 [references/model_download.md](references/model_download.md)
- 硬件要求:View the complete source on GitHubinfinitetalk
When your agent uses it
音频驱动的稀疏帧视频配音工具,支持音频驱动的 Video-to-Video 和 Image-to-Video 生成,实现精准的唇形、头部、身体姿态同步,支持无限时长视频生成
What it loads into context
Frontmatter
198 tokensAlways available to the agent
SKILL.md
1,561 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# InfiniteTalk - 音频驱动视频生成
## 任务目标
- 本 Skill 用于:将音频(语音)转换为同步的说话人视频,支持从单张图片或现有视频生成音频驱动的说话视频
- 能力包含:
- Image-to-Video:从单张图片生成音频驱动的说话视频
- Video-to-Video:对现有视频进行音频驱动的重配音
- 多维度同步:唇形、头部运动、身体姿态、面部表情与音频精准对齐
- 无限时长:支持无限制时长的视频生成
- 低显存适配:支持量化、模型卸载等显存优化方案
- 触发条件:当需要生成音频驱动的数字人视频、视频配音、虚拟主播内容时使用
## 前置准备
- 模型下载:在使用本 Skill 前,必须先下载所需的模型权重文件,具体步骤见 [references/model_download.md](references/model_download.md)
- 硬件要求:View the complete source on GitHubinfinitetalk-shopping-avatar
When your agent uses it
专为InfiniteTalk项目设计的小省导购员数字人带货提示词生成技能,基于四大智能体协同(提示词生成师、质量管控师、知识库运维师、跨环节适配师),生成适配Image-to-Video模式的结构化提示词(角色固定特征+动作时序+场景环境+音频匹配+光影氛围+技术约束),支持9:16竖屏、5s/幕、音频同步(Suno+chinese-wav2vec2-base)、一致性管控(角色/视觉/情绪),直接对接模型推理流程
What it loads into context
Frontmatter
298 tokensAlways available to the agent
SKILL.md
2,868 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
- 四大智能体角色职责
Files
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# InfiniteTalk小省导购员数字人带货提示词生成
## 任务目标
- 本技能用于:为InfiniteTalk项目生成小省导购员数字人带货视频的结构化提示词,直接对接模型推理流程
- 能力包含:
- 生成适配InfiniteTalk Image-to-Video模式的分镜化提示词
- 帧级动作时序描述(5s/幕,精确到秒级)
- 音频同步匹配(Suno音乐 + chinese-wav2vec2-base编码)
- 一致性管控(角色/视觉/情绪三大维度)
- 跨工具集成(Suno、AI绘画、InfiniteTalk)
- 触发条件:用户需要生成小省导购员数字人带货视频,使用InfiniteTalk模型进行推理
## 前置准备
- 依赖说明:本技能基于智能体自然语言能力,无需Python依赖
- 环境准备:View the complete source on GitHubinherit-legacy-style
When your agent uses it
Legacy-project style inheritance skill. Use when the user types /inherit-legacy-style, or when onboarding an AI coding agent onto a hand-written legacy project and you need to prevent "style drift" (the model imposing its pretrained mainstream idioms onto the project). Language- and framework-agnostic — it aligns meta-architecture only, not syntax. Once run, it becomes a behavioral constraint on all subsequent coding tasks. Do NOT use for pure research or one-off questions unrelated to code-style alignment.
What it loads into context
Frontmatter
217 tokensAlways available to the agent
SKILL.md
2,088 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- When to Use
- Prerequisites
- Workflow
- How It Works
- Output Specification
- Anti-Patterns
- Best Practices
- Related Skills
- Examples
Files
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# Inherit Legacy Style
Prevents AI code style drift in legacy projects by scanning the codebase for implicit conventions across 4 meta-architecture dimensions, resolving conflicts with the user one at a time, and crystallizing the consensus into an enforceable `.ai-style-rules.md`. Fully language- and framework-agnostic.
## When to Activate
- User types `/inherit-legacy-style`
- User mentions onboarding AI onto a hand-written legacy project
- User is worried about AI-generated code "drifting" from existing project conventions
- User wants to extract and codify their project's implicit coding rules
## When to Use
Use this skill when you need to preserve legacy project style and prevent AI-generated style drift. See **When to Activate** above for trigger conditions.
View the complete source on GitHubintelligent-content-system
When your agent uses it
智能内容创作与发布全流程系统。根据用户需求自动识别场景, 编排调用网页采集、智能配图、小红书图文生成、热点内容创作、多平台发布等技能, 实现从内容获取到发布的一站式自动化。 支持场景: - 网页内容采集与再创作(采集→配图→发布) - 热点内容创作(热点采集→AI生成→多平台发布) - 原创内容优化(配图→小红书图文→发布) - 单一功能调用(采集/配图/图文/发布) 支持平台:微信公众号、小红书、X/Twitter、B站
What it loads into context
Frontmatter
307 tokensAlways available to the agent
SKILL.md
4,832 tokensWhen the skill is activated
Reference documents
3,135 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 核心特性
- 操作步骤
- 场景详解
- 资源索引
- 前置准备
- 使用示例
- 注意事项
- 高级功能
- 故障排查
- 更新日志
Files
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# 智能内容创作与发布系统
## 任务目标
- 本技能用于:从内容获取到多平台发布的智能化全流程
- 能力包含:
- 自动识别用户需求场景
- 智能编排技能调用链
- 网页内容采集与转换
- 文章智能配图
- 小红书图文生成
- 热点内容创作
- 多平台自动发布
- 触发条件:用户提出内容创作或发布相关需求
View the complete source on GitHubintent-driven-development
When your agent uses it
Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requirements for another agent, or make a complex request testable. Do not trigger for trivial edits, straightforward fixes, active debugging, code review, or implementation requests whose acceptance conditions are already clear unless the user explicitly invokes this skill.
What it loads into context
Frontmatter
211 tokensAlways available to the agent
SKILL.md
3,510 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- How It Works
- Examples
- Operating Rules
- Choose The Depth
- Workflow
- Output Template
- Pass/Fail Examples
- Quality Check
- Handoff
Files
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# Intent-Driven Development
Produce useful acceptance criteria without turning specification into ceremony. Inspect
available context first, expose genuine ambiguity, and choose verification methods that fit
the work and its risk.
## When to Activate
- User asks to clarify a feature, define acceptance criteria, or de-risk a change before implementation
- Request touches security, authentication, persistent data, migrations, external APIs, or compliance
- User wants to prepare a handoff artifact for another agent or team
- Request is ambiguous enough that the expected outcome is not yet observable or testable
- User explicitly invokes this skill with `/intent-driven-development`
Do not activate for trivial edits, straightforward one-line fixes, active debugging sessions,View the complete source on GitHubinternal-comms
When your agent uses it
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
415 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to use this skill
- How to use this skill
- Keywords
Files
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## When to use this skill
To write internal communications, use this skill for:
- 3P updates (Progress, Plans, Problems)
- Company newsletters
- FAQ responses
- Status reports
- Leadership updates
- Project updates
- Incident reports
## How to use this skill
To write any internal communication:
1. **Identify the communication type** from the requestView the complete source on GitHubinventory-demand-planning
When your agent uses it
Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.
What it loads into context
Frontmatter
198 tokensAlways available to the agent
SKILL.md
5,491 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Inventory Demand Planning
## Role and Context
You are a senior demand planner at a multi-location retailer operating 40–200 stores with regional distribution centers. You manage 300–800 active SKUs across categories including grocery, general merchandise, seasonal, and promotional assortments. Your systems include a demand planning suite (Blue Yonder, Oracle Demantra, or Kinaxis), an ERP (SAP, Oracle), a WMS for DC-level inventory, POS data feeds at the store level, and vendor portals for purchase order management. You sit between merchandising (which decides what to sell and at what price), supply chain (which manages warehouse capacity and transportation), and finance (which sets inventory investment budgets and GMROI targets). Your job is to translate commercial intent into executable purchase orders while minimizing both stockouts and excess inventory.
## When to Use
- Generating or reviewing demand forecasts for existing or new SKUs
- Setting safety stock levels based on demand variability and service level targets
- Planning replenishment for seasonal transitions, promotions, or new product launches
- Evaluating forecast accuracy and adjusting models or overrides
- Making buy decisions under supplier MOQ constraints or lead time changes
## How It WorksView the complete source on GitHubinvestor-materials
When your agent uses it
Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.
What it loads into context
Frontmatter
169 tokensAlways available to the agent
SKILL.md
675 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Golden Rule
- Core Workflow
- Asset Guidance
- Red Flags to Avoid
- Quality Gate
Files
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# Investor Materials
Build investor-facing materials that are consistent, credible, and easy to defend.
## When to Activate
- creating or revising a pitch deck
- writing an investor memo or one-pager
- building a financial model, milestone plan, or use-of-funds table
- answering accelerator or incubator application questions
- aligning multiple fundraising docs around one source of truth
## Golden Rule
All investor materials must agree with each other.View the complete source on GitHubinvestor-outreach
When your agent uses it
Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
692 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Rules
- Voice Handling
- Hard Bans
- Cold Email Structure
- Personalization Sources
- Follow-Up Cadence
- Warm Intro Requests
- Post-Meeting Updates
- Quality Gate
Files
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# Investor Outreach
Write investor communication that is short, concrete, and easy to act on.
## When to Activate
- writing a cold email to an investor
- drafting a warm intro request
- sending follow-ups after a meeting or no response
- writing investor updates during a process
- tailoring outreach based on fund thesis or partner fit
## Core Rules
1. Personalize every outbound message.View the complete source on GitHubios-icon-gen
When your agent uses it
Generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.
What it loads into context
Frontmatter
177 tokensAlways available to the agent
SKILL.md
1,555 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Principles
- Examples
- Popular Iconify Collections
- Scripts Reference
- Best Practices
- Anti-Patterns
Files
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# iOS Icon Generator
Generate PNG icon imagesets for Xcode asset catalogs from two sources.
## When to Activate
- Generating icon assets for an iOS/macOS Xcode project
- Searching for icons across open source collections
- Creating PNG imagesets (1x, 2x, 3x) for asset catalogs
- Replacing placeholder icons with production-quality assets
- Matching existing icon styles in an Xcode project
## Core Principles
### 1. Two Sources, One Output FormatView the complete source on GitHubiterative-retrieval
When your agent uses it
Pattern for progressively refining context retrieval to solve the subagent context problem
What it loads into context
Frontmatter
112 tokensAlways available to the agent
SKILL.md
1,617 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- The Problem
- The Solution: Iterative Retrieval
- Practical Examples
- Integration with Agents
- Best Practices
- Related
Files
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# Iterative Retrieval Pattern
Solves the "context problem" in multi-agent workflows where subagents don't know what context they need until they start working.
## When to Activate
- Spawning subagents that need codebase context they cannot predict upfront
- Building multi-agent workflows where context is progressively refined
- Encountering "context too large" or "missing context" failures in agent tasks
- Designing RAG-like retrieval pipelines for code exploration
- Optimizing token usage in agent orchestration
## The Problem
Subagents are spawned with limited context. They don't know:View the complete source on GitHubito-basket-compare
When your agent uses it
Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
562 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Guardrails
- Comparison Modes
- Output Contract
Files
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# Itô Basket Compare
Use this skill to compare a basket, theme, or market set against a user's
knowledge base, portfolio notes, research memo, CRM context, or stated thesis.
This skill is read-only. It does not recommend trades. It helps a user inspect
fit, exposure, assumptions, and missing context before they decide what to do.
## Guardrails
- Do not provide investment advice or tell the user to buy, sell, hold, hedge,
lever, or size a trade.
- Do not execute, prepare, or submit orders.
- Do not use private documents unless the user explicitly points to them.
- Use `ITO_API_KEY` only for read-only Itô basket/market data after explicitView the complete source on GitHubito-data-atlas-agent
When your agent uses it
Design background Data Atlas style agents for Itô basket research, market discovery, parameter drafting, and human-in-the-loop editing. Use for architecture and workflow planning, not live order execution.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
578 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Guardrails
- Architecture Pattern
- Workflow
- Useful Skill Chains
- Output Contract
Files
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# Itô Data Atlas Agent
Use this skill to design an agent that watches data sources, builds candidate
prediction-market baskets, drafts parameter changes, and hands the result to a
human for review.
This skill describes architecture and workflow. It does not run live trading.
## Guardrails
- Keep all execution behind explicit human approval.
- Require `ITO_API_KEY` only for read-only Itô data access unless a separate
private implementation explicitly adds execution controls.
- Do not persist private user data unless the target repo already has a storage
contract and the user asks for it.View the complete source on GitHubito-market-intelligence
When your agent uses it
Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
620 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Guardrails
- Workflow
- Useful Skill Chains
- Output Contract
Files
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# Itô Market Intelligence
Use this skill when a user wants prediction-market context, event discovery,
venue comparison, basket theme exploration, or an Itô API-backed market brief.
This is a public teaser skill. It can work with public sources by default. Any
Itô-backed data call requires explicit API access through `ITO_API_KEY`.
## Guardrails
- Do not provide investment, legal, tax, or trading advice.
- Do not place, cancel, route, or simulate live orders.
- Do not infer the user's financial situation unless they provide it.
- Treat Polymarket, Kalshi, Itô, X, Exa, GitHub, and web data as source inputs,
not as truth by themselves.View the complete source on GitHubito-trade-planner
When your agent uses it
Build a non-advisory prediction-market trade planning worksheet for Itô or venue workflows. Use to inspect venues, underliers, constraints, order prerequisites, and manual execution steps without placing trades or recommending positions.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
539 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Guardrails
- Planning Workflow
- Allowed Language
- Output Contract
Files
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# Itô Trade Planner
Use this skill when a user wants a structured worksheet for a prediction-market
idea, basket adjustment, venue comparison, or manual execution plan.
The skill is intentionally non-executing. It produces checklists and parameter
tables the user can review manually.
## Guardrails
- Do not say a trade is good, bad, optimal, or recommended.
- Do not provide investment advice or position sizing advice.
- Do not place, cancel, route, or sign orders.
- Do not request private keys, seed phrases, exchange passwords, or wallet
credentials.View the complete source on GitHubjava-coding-standards
When your agent uses it
Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
2,777 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Core Principles
- Examples
- Naming
- Immutability
- Optional Usage
- Streams Best Practices
- Dependency Injection
- Reactive Patterns [QUARKUS]
- Exceptions
- Generics and Type Safety
- Project Structure
- Formatting and Style
- Code Smells to Avoid
- Logging
- Null Handling
- Configuration
- Testing Expectations
Files
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# Java Coding Standards
Standards for readable, maintainable Java (17+) code in Spring Boot and Quarkus services.
## When to Use
- Writing or reviewing Java code in Spring Boot or Quarkus projects
- Enforcing naming, immutability, or exception handling conventions
- Working with records, sealed classes, or pattern matching (Java 17+)
- Reviewing use of Optional, streams, or generics
- Structuring packages and project layout
- **[QUARKUS]**: Working with CDI scopes, Panache entities, or reactive pipelines
## How It Works
View the complete source on GitHubjira-integration
When your agent uses it
Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,422 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Prerequisites
- MCP Tools Reference
- Direct REST API Reference
- Analyzing a Ticket
- Updating Tickets
- Security Guidelines
- Troubleshooting
- Best Practices
Files
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# Jira Integration Skill
Retrieve, analyze, and update Jira tickets directly from your AI coding workflow. Supports both **MCP-based** (recommended) and **direct REST API** approaches.
## When to Activate
- Fetching a Jira ticket to understand requirements
- Extracting testable acceptance criteria from a ticket
- Adding progress comments to a Jira issue
- Transitioning a ticket status (To Do → In Progress → Done)
- Linking merge requests or branches to a Jira issue
- Searching for issues by JQL query
## Prerequisites
View the complete source on GitHubjpa-patterns
When your agent uses it
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
1,111 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Entity Design
- Relationships and N+1 Prevention
- Repository Patterns
- Transactions
- Pagination
- Indexing and Performance
- Connection Pooling (HikariCP)
- Caching
- Migrations
- Testing Data Access
Files
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# JPA/Hibernate Patterns
Use for data modeling, repositories, and performance tuning in Spring Boot.
## When to Activate
- Designing JPA entities and table mappings
- Defining relationships (@OneToMany, @ManyToOne, @ManyToMany)
- Optimizing queries (N+1 prevention, fetch strategies, projections)
- Configuring transactions, auditing, or soft deletes
- Setting up pagination, sorting, or custom repository methods
- Tuning connection pooling (HikariCP) or second-level caching
## Entity Design
View the complete source on GitHubjson-canvas
When your agent uses it
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
5,213 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- File Structure
- Nodes
- Edges
- Colors
- Complete Examples
- ID Generation
- Layout Guidelines
- Validation Rules
- References
Files
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# JSON Canvas Skill
This skill enables skills-compatible agents to create and edit valid JSON Canvas files (`.canvas`) used in Obsidian and other applications.
## Overview
JSON Canvas is an open file format for infinite canvas data. Canvas files use the `.canvas` extension and contain valid JSON following the [JSON Canvas Spec 1.0](https://jsoncanvas.org/spec/1.0/).
## File Structure
A canvas file contains two top-level arrays:
```json
{
"nodes": [],View the complete source on GitHubkarpathy-guidelines
When your agent uses it
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
674 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Think Before Coding
- 2. Simplicity First
- 3. Surgical Changes
- 4. Goal-Driven Execution
Files
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# Karpathy Guidelines
Behavioral guidelines to reduce common LLM coding mistakes, derived from [Andrej Karpathy's observations](https://x.com/karpathy/status/2015883857489522876) on LLM coding pitfalls.
**Tradeoff:** These guidelines bias toward caution over speed. For trivial tasks, use judgment.
## 1. Think Before Coding
**Don't assume. Don't hide confusion. Surface tradeoffs.**
Before implementing:
- State your assumptions explicitly. If uncertain, ask.
- If multiple interpretations exist, present them - don't pick silently.
- If a simpler approach exists, say so. Push back when warranted.
- If something is unclear, stop. Name what's confusing. Ask.View the complete source on GitHubknowledge-ops
When your agent uses it
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
1,497 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Knowledge Architecture
- Ingestion Workflow
- Sync Operations
- Memory Patterns
- Best Practices
- Quality Gate
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# Knowledge Operations
Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across multiple stores.
Prefer the live workspace model:
- code work lives in the real cloned repos
- active execution context lives in GitHub, Linear, and repo-local working-context files
- broader human-facing notes can live in a non-repo context/archive folder
- durable cross-machine memory belongs in the knowledge base, not in a shadow repo workspace
## When to Activate
- User wants to save information to their knowledge base
- Ingesting documents, conversations, or data into structured storage
- Syncing knowledge across systems (local files, MCP memory, Supabase, Git repos)View the complete source on GitHubkotlin-coroutines-flows
When your agent uses it
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
1,861 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Structured Concurrency
- Flow Patterns
- Dispatchers
- Cancellation
- Testing
- Anti-Patterns to Avoid
- References
Files
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# Kotlin Coroutines & Flows
Patterns for structured concurrency, Flow-based reactive streams, and coroutine testing in Android and Kotlin Multiplatform projects.
## When to Activate
- Writing async code with Kotlin coroutines
- Using Flow, StateFlow, or SharedFlow for reactive data
- Handling concurrent operations (parallel loading, debounce, retry)
- Testing coroutines and Flows
- Managing coroutine scopes and cancellation
## Structured Concurrency
### Scope HierarchyView the complete source on GitHubkotlin-exposed-patterns
When your agent uses it
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
5,148 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Database Setup
- Table Definitions
- DSL Queries
- DAO Pattern
- Transactions
- Repository Pattern
- JSON Columns
- Testing with Exposed
- Gradle Dependencies
- Quick Reference: Exposed Patterns
Files
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# Kotlin Exposed Patterns
Comprehensive patterns for database access with JetBrains Exposed ORM, including DSL queries, DAO, transactions, and production-ready configuration.
## When to Use
- Setting up database access with Exposed
- Writing SQL queries using Exposed DSL or DAO
- Configuring connection pooling with HikariCP
- Creating database migrations with Flyway
- Implementing the repository pattern with Exposed
- Handling JSON columns and complex queries
## How It Works
View the complete source on GitHubkotlin-ktor-patterns
When your agent uses it
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
4,130 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Application Structure
- Routing DSL
- Content Negotiation & Serialization
- Authentication
- Status Pages (Error Handling)
- CORS Configuration
- Koin Dependency Injection
- Request Validation
- WebSockets
- testApplication Testing
- Configuration
- Quick Reference: Ktor Patterns
Files
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# Ktor Server Patterns
Comprehensive Ktor patterns for building robust, maintainable HTTP servers with Kotlin coroutines.
## When to Activate
- Building Ktor HTTP servers
- Configuring Ktor plugins (Auth, CORS, ContentNegotiation, StatusPages)
- Implementing REST APIs with Ktor
- Setting up dependency injection with Koin
- Writing Ktor integration tests with testApplication
- Working with WebSockets in Ktor
## Application Structure
View the complete source on GitHubkotlin-patterns
When your agent uses it
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
4,794 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Core Principles
- Sealed Classes and Interfaces
- Scope Functions
- Extension Functions
- Coroutines
- Delegation
- DSL Builders
- Sequences for Lazy Evaluation
- Gradle Kotlin DSL
- Error Handling Patterns
- Collection Operations
- Quick Reference: Kotlin Idioms
- Anti-Patterns to Avoid
Files
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# Kotlin Development Patterns
Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.
## When to Use
- Writing new Kotlin code
- Reviewing Kotlin code
- Refactoring existing Kotlin code
- Designing Kotlin modules or libraries
- Configuring Gradle Kotlin DSL builds
## How It Works
This skill enforces idiomatic Kotlin conventions across seven key areas: null safety using the type system and safe-call operators, immutability via `val` and `copy()` on data classes, sealed classes and interfaces for exhaustive type hierarchies, structured concurrency with coroutines and `Flow`, extension functions for adding behaviour without inheritance, type-safe DSL builders using `@DslMarker` and lambda receivers, and Gradle Kotlin DSL for build configuration.View the complete source on GitHubkotlin-testing
When your agent uses it
Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
4,887 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Kotlin Testing Patterns
Comprehensive Kotlin testing patterns for writing reliable, maintainable tests following TDD methodology with Kotest and MockK.
## When to Use
- Writing new Kotlin functions or classes
- Adding test coverage to existing Kotlin code
- Implementing property-based tests
- Following TDD workflow in Kotlin projects
- Configuring Kover for code coverage
## How It Works
1. **Identify target code** — Find the function, class, or module to testView the complete source on GitHubkubernetes-patterns
When your agent uses it
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
5,262 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- When to Use
- How It Works
- Examples
- Core Workload Patterns
- Probes — Liveness, Readiness, Startup
- Services and Ingress
- ConfigMaps and Secrets
- Resource Requests and Limits
- RBAC — Roles and ServiceAccounts
- Horizontal Pod Autoscaler (HPA)
- PodDisruptionBudget (PDB)
- Namespaces and Multi-Tenancy
- Jobs and CronJobs
- kubectl Debugging Cheatsheet
- Anti-Patterns
- Best Practices Checklist
- Related Skills
Files
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# Kubernetes Patterns
Production-grade Kubernetes patterns for deploying, managing, and debugging workloads reliably.
## When to Activate
- Writing Kubernetes manifests (Deployments, Services, Ingress, Jobs)
- Configuring resource requests/limits, liveness/readiness probes
- Setting up RBAC, namespaces, or ServiceAccounts
- Managing configuration and secrets in K8s
- Debugging CrashLoopBackOff, OOMKilled, pending pods, or image pull errors
- Configuring HPA (Horizontal Pod Autoscaler) or PodDisruptionBudgets
- Reviewing K8s YAML for security or correctness
## When to UseView the complete source on GitHublaravel-patterns
When your agent uses it
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
2,418 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Laravel Development Patterns
Production-grade Laravel architecture patterns for scalable, maintainable applications.
## When to Use
- Building Laravel web applications or APIs
- Structuring controllers, services, and domain logic
- Working with Eloquent models and relationships
- Designing APIs with resources and pagination
- Adding queues, events, caching, and background jobs
## How It Works
- Structure the app around clear boundaries (controllers -> services/actions -> models).View the complete source on GitHublaravel-plugin-discovery
When your agent uses it
Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,614 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- MCP Requirement
- MCP Tools
- How It Works
- Examples
- Filtering Best Practices
- Response Interpretation
- Common Use Cases
- Best Practices
- Related Skills
Files
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# Laravel Plugin Discovery
Find, evaluate, and choose healthy Laravel packages using the LaraPlugins.io MCP server.
## When to Use
- User wants to find Laravel packages for a specific feature (e.g. "auth", "permissions", "admin panel")
- User asks "what package should I use for..." or "is there a Laravel package for..."
- User wants to check if a package is actively maintained
- User needs to verify Laravel version compatibility
- User wants to assess package health before adding to a project
## MCP Requirement
LaraPlugins MCP server must be configured. Add to your `~/.claude.json` mcpServers:View the complete source on GitHublaravel-security
When your agent uses it
Laravel security best practices — authentication, authorization, Eloquent safety, CSRF, XSS prevention, API security, and secure deployment configurations.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
6,551 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Production Configuration
- Authentication
- Authorization
- Eloquent Security
- CSRF Protection
- XSS Prevention
- Input Validation
- API Security
- File Upload Security
- Dependencies and Secrets
- Queue Security
- Logging Security Events
- Quick Security Checklist
- Related Skills
Files
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# Laravel Security Best Practices
Comprehensive security guidelines for Laravel applications to protect against common vulnerabilities.
## When to Activate
- Setting up Laravel authentication and authorization (Sanctum, Passport, Jetstream, Breeze)
- Implementing user roles, permissions, and policies
- Configuring production security settings and environment variables
- Reviewing Laravel applications for security vulnerabilities
- Deploying Laravel applications to production
- Writing secure Eloquent queries and migrations
## Production Configuration
View the complete source on GitHublaravel-tdd
When your agent uses it
Laravel testing strategies with PHPUnit, Pest, model factories, HTTP tests, Sanctum authentication testing, mocking, and coverage.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
4,360 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- TDD Workflow for Laravel
- Setup
- Model Factories
- Model Testing
- Feature / HTTP Testing
- JSON API Testing
- Sanctum API Auth Testing
- Mocking and Fakes
- Artisan Command Tests
- Authorization Tests
- Pest Feature Tests
- Coverage
- Testing Best Practices
- Quick Reference
- Related Skills
Files
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# Laravel Testing with TDD
Test-driven development for Laravel applications using PHPUnit, Pest, Laravel factories, and testing helpers.
## When to Activate
- Writing new Laravel applications or features
- Implementing API endpoints with Sanctum or Passport authentication
- Testing Eloquent models, relationships, scopes, and accessors
- Setting up testing infrastructure for Laravel projects
- Writing feature tests for HTTP controllers and form requests
- Mocking external services (queues, mail, notifications, HTTP)
## TDD Workflow for Laravel
View the complete source on GitHublaravel-verification
When your agent uses it
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,083 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Phase 1: Environment Checks
- Phase 1.5: Composer and Autoload
- Phase 2: Linting and Static Analysis
- Phase 3: Tests and Coverage
- Phase 4: Security and Dependency Checks
- Phase 5: Database and Migrations
- Phase 6: Build and Deployment Readiness
- Phase 7: Queue and Scheduler Checks
- Examples
Files
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# Laravel Verification Loop
Run before PRs, after major changes, and pre-deploy.
## When to Use
- Before opening a pull request for a Laravel project
- After major refactors or dependency upgrades
- Pre-deployment verification for staging or production
- Running full lint -> test -> security -> deploy readiness pipeline
## How It Works
- Run phases sequentially from environment checks through deployment readiness so each layer builds on the last.
- Environment and Composer checks gate everything else; stop immediately if they fail.View the complete source on GitHublatency-critical-systems
When your agent uses it
Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
581 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Split The Metrics
- Map The Hot Path
- Optimization Order
- Verification
- Guardrails
Files
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# Latency Critical Systems
Use this skill when the user cares about realtime behavior, hot paths, streaming
freshness, or execution speed. This includes HFT-like infrastructure, but the
skill is engineering-focused. It does not authorize live trading or financial
advice.
## Split The Metrics
Do not collapse everything into "fast." Track:
- p50, p95, and p99 latency;
- throughput;
- freshness age;
- queue depth;View the complete source on GitHublaw-to-markdown
When your agent uses it
将法条/规范文件(.txt/.docx/.pdf)转为 Markdown。适用于用户要求“法条转 markdown”“pdf/docx 转 markdown”。处理 .pdf/.docx 时先检查是否已安装 mineru-ocr skill;未安装先引导安装,安装后优先用 mineru-ocr;仅在用户明确同意时再用本地回退方案。
What it loads into context
Frontmatter
201 tokensAlways available to the agent
SKILL.md
1,360 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 处理规则
- 二阶段识别参数
- 三阶段参数
- 输出规则
- 常用命令
Files
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# Law To Markdown
## 处理规则
1. 输入为 `.txt`:直接转存为 `.md`。
2. 输入为 `.pdf` / `.docx`:
- 先检查是否已安装 `mineru-ocr` skill。
- 未安装:提示先安装 `mineru-ocr`,安装地址:
`https://github.com/cat-xierluo/legal-skills/tree/main/skills/mineru-ocr`
- 已安装:优先调用 `mineru-ocr` 处理。
- 调用失败:先提示检查 `mineru-ocr` 配置/Token。
- 仅当用户明确同意时,才使用本地回退(`python-docx` / `pdfplumber`)。
3. 第一阶段完成后默认执行第二阶段格式调整(仅格式,不改原文字符):
- 由调用该 skill 的大模型先判断“法律/非法律”,并把结果传给脚本。
- 若调用方未传结果,则脚本使用硬规则自动识别(`--law-decision auto`)。View the complete source on GitHublead-intelligence
When your agent uses it
AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.
What it loads into context
Frontmatter
171 tokensAlways available to the agent
SKILL.md
2,757 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Tool Requirements
- Pipeline Overview
- Voice Before Outreach
- Stage 1: Signal Scoring
- Stage 2: Mutual Ranking
- Stage 3: Warm Path Discovery
- Stage 4: Enrichment
- Stage 5: Outreach Draft
- Configuration
- Agents
- Example Usage
- Related Skills
Files
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# Lead Intelligence
Agent-powered lead intelligence pipeline that finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery.
## When to Activate
- User wants to find leads or prospects in a specific industry
- Building an outreach list for partnerships, sales, or fundraising
- Researching who to reach out to and the best path to reach them
- User says "find leads", "outreach list", "who should I reach out to", "warm intros"
- Needs to score or rank a list of contacts by relevance
- Wants to map mutual connections to find warm introduction paths
## Tool Requirements
View the complete source on GitHubliquid-glass-design
When your agent uses it
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
2,116 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Pattern — SwiftUI
- Core Pattern — UIKit
- Core Pattern — WidgetKit
- Key Design Decisions
- Best Practices
- Anti-Patterns to Avoid
- When to Use
Files
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# Liquid Glass Design System (iOS 26)
Patterns for implementing Apple's Liquid Glass — a dynamic material that blurs content behind it, reflects color and light from surrounding content, and reacts to touch and pointer interactions. Covers SwiftUI, UIKit, and WidgetKit integration.
## When to Activate
- Building or updating apps for iOS 26+ with the new design language
- Implementing glass-style buttons, cards, toolbars, or containers
- Creating morphing transitions between glass elements
- Applying Liquid Glass effects to widgets
- Migrating existing blur/material effects to the new Liquid Glass API
## Core Pattern — SwiftUI
### Basic Glass EffectView the complete source on GitHubliterature-review
When your agent uses it
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,245 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Review Types
- Workflow
- Output Template
- Pitfalls
Files
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# Literature Review
Use this skill when the task is to find, screen, synthesize, and cite a body of
academic or technical literature.
## When to Use
- Building a systematic, scoping, or narrative literature review.
- Synthesizing the state of the art for a research question.
- Finding gaps, contradictions, or future-work directions.
- Preparing citation-backed background sections for papers or reports.
- Comparing evidence across peer-reviewed papers, preprints, patents, and
technical reports.
## Review TypesView the complete source on GitHubllm-trading-agent-security
When your agent uses it
Security patterns for autonomous trading agents with wallet or transaction authority. Covers prompt injection, spend limits, pre-send simulation, circuit breakers, MEV protection, and key handling.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,173 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Pre-Deploy Checklist
Files
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# LLM Trading Agent Security
Autonomous trading agents have a harsher threat model than normal LLM apps: an injection or bad tool path can turn directly into asset loss.
## When to Use
- Building an AI agent that signs and sends transactions
- Auditing a trading bot or on-chain execution assistant
- Designing wallet key management for an agent
- Giving an LLM access to order placement, swaps, or treasury operations
## How It Works
Layer the defenses. No single check is enough. Treat prompt hygiene, spend policy, simulation, execution limits, and wallet isolation as independent controls.
View the complete source on GitHublogistics-exception-management
When your agent uses it
Codified expertise for handling freight exceptions, shipment delays, damages, losses, and carrier disputes. Informed by logistics professionals with 15+ years operational experience. Includes escalation protocols, carrier-specific behaviors, claims procedures, and judgment frameworks. Use when handling shipping exceptions, freight claims, delivery issues, or carrier disputes.
What it loads into context
Frontmatter
182 tokensAlways available to the agent
SKILL.md
3,651 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Logistics Exception Management
## Role and Context
You are a senior freight exceptions analyst with 15+ years managing shipment exceptions across all modes — LTL, FTL, parcel, intermodal, ocean, and air. You sit at the intersection of shippers, carriers, consignees, insurance providers, and internal stakeholders. Your systems include TMS (transportation management), WMS (warehouse management), carrier portals, claims management platforms, and ERP order management. Your job is to resolve exceptions quickly while protecting financial interests, preserving carrier relationships, and maintaining customer satisfaction.
## When to Use
- Shipment is delayed, damaged, lost, or refused at delivery
- Carrier dispute over liability, accessorial charges, or detention claims
- Customer escalation due to missed delivery window or incorrect order
- Filing or managing freight claims with carriers or insurers
- Building exception handling SOPs or escalation protocols
## How It WorksView the complete source on GitHubloop-me
When your agent uses it
Grill me about specs for the workflows I want to build, within this workspace.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
625 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The loop lens
- Vocabulary
- Definition of done
- The workspace
Files
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Run a stateful `/grilling` session whose only output is **workflow** specs. Use the grilling discipline — relentless, one question at a time, a recommended answer attached to each — aimed at the vocabulary and goal below. Create, edit, and delete specs as the grilling resolves things.
## The loop lens
A **loop** is a recurring pattern in the user's life: their career, their week, their morning, a single repeated activity. Picturing a life as loops within loops reveals how predictable its activities really are — which is what makes them worth **delegating**. Use the lens to find loops worth specifying, and propose ones the user hasn't noticed.
A **workflow** is the spec of one loop, made real. You run a workflow on a loop — the loop is its running instantiation. Workflows live in `workflows/*.md` and are the source of truth.
## Vocabulary
A shared language, reached for only when a workflow calls for it — never a checklist. **Mandate nothing structural**: a workflow needs no AI, no checkpoint, and no schedule unless the grilling shows it does.
- **Trigger** — what fires each run: an **event** (a new email, a new issue) or a **schedule** (every morning). Event-triggering is usually the more efficient.
- **Checkpoint** — a human-in-the-loop point where the user is asked to verify or decide. Some workflows have none and run autonomously; some use no AI at all.
- **Push right** — defer the checkpoint as far as it will go. Do maximal work before involving the human, so they are asked once, late, with everything prepared.View the complete source on GitHubmailtrap-email-integration
When your agent uses it
Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
880 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Code Examples
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Mailtrap Email Integration
Patterns for adding transactional email sending to an application using Mailtrap's Email API and Sandbox, covering authentication, environment separation, and common delivery pitfalls.
## When to Activate
- Implementing a "send email" feature (signup confirmation, password reset, notifications, receipts)
- Debugging why emails aren't arriving in dev/staging
- Setting up a project's first email-sending integration
- Reviewing code that calls an email API directly without sandbox separation
## Core Concepts
**Sandbox vs. Production separation.** Mailtrap provides a Sandbox API that captures emails without delivering them, used for dev/staging so test emails never reach real inboxes. Production sending uses a separate, verified-domain endpoint. Never point a dev environment at the production sending endpoint.
View the complete source on GitHubmake-interfaces-feel-better
When your agent uses it
Apply concrete design-engineering details that make interfaces feel polished. Use when reviewing or improving UI spacing, typography, borders, shadows, motion, hit areas, icons, text wrapping, and interaction states.
What it loads into context
Frontmatter
160 tokensAlways available to the agent
SKILL.md
1,190 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Core Principles
- Review Output
- Checklist
Files
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# Make Interfaces Feel Better
Use this skill for the small design-engineering details that compound into a
more polished interface.
Source: salvaged from stale community PR #1659 by `linus707`.
## When to Use
- The user says the UI feels off, flat, generic, cramped, jumpy, or unfinished.
- You are building controls, cards, lists, dashboards, navigation, forms, or
toolbars.
- A component needs hover, active, focus, enter, exit, loading, or empty states.
- A frontend review needs specific before/after recommendations.
View the complete source on GitHubmanim-video
When your agent uses it
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
728 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Tool Requirements
- Default Output
- Workflow
- Scene Planning Rules
- Network Graph Default
- Render Conventions
- Reusable Starter
- Output Format
- Related Skills
Files
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# Manim Video
Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.
## When to Activate
- the user wants a technical explainer animation
- the concept is a graph, workflow, architecture, metric progression, or system diagram
- the user wants a short product or launch explainer for X or a landing page
- the visual should feel precise instead of generically cinematic
## Tool Requirements
- `manim` CLI for scene rendering
- `ffmpeg` for post-processing if neededView the complete source on GitHubmarket-research
When your agent uses it
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
543 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Research Standards
- Common Research Modes
- Output Format
- Quality Gate
Files
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# Market Research
Produce research that supports decisions, not research theater.
## When to Activate
- researching a market, category, company, investor, or technology trend
- building TAM/SAM/SOM estimates
- comparing competitors or adjacent products
- preparing investor dossiers before outreach
- pressure-testing a thesis before building, funding, or entering a market
## Research Standards
1. Every important claim needs a source.View the complete source on GitHubmarketing-campaign
When your agent uses it
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
1,228 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Non-Negotiables
- Campaign Workflow
- Output Contract
- Quality Gate
- Hard Bans
- Related Skills
Files
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# Marketing Campaign
Plan and execute launch campaigns that convert — not just campaigns that ship.
## When to Activate
- planning a product or feature launch
- building a full content suite from a single product brief
- defining positioning and campaign angle before writing any copy
- orchestrating multiple content types across channels
- reviewing copy for conversion quality and brand consistency
## Non-Negotiables
1. Define positioning before writing any copy. All copy flows from the angle.View the complete source on GitHubmcp-builder
When your agent uses it
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
2,038 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- 🚀 High-Level Workflow
- 📚 Documentation Library
Files
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# MCP Server Development Guide
## Overview
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
---
# Process
## 🚀 High-Level Workflow
Creating a high-quality MCP server involves four main phases:
### Phase 1: Deep Research and PlanningView the complete source on GitHubmcp-server-patterns
When your agent uses it
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,030 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Best Practices
- Official SDKs and Docs
Files
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# MCP Server Patterns
The Model Context Protocol (MCP) lets AI assistants call tools, read resources, and use prompts from your server. Use this skill when building or maintaining MCP servers. The SDK API evolves; check Context7 (query-docs for "MCP") or the official MCP documentation for current method names and signatures.
For the broader routing decision of when a capability should be a rule, a skill, MCP, or a plain CLI/API workflow, see [docs/capability-surface-selection.md](../../docs/capability-surface-selection.md).
## When to Use
Use when: implementing a new MCP server, adding tools or resources, choosing stdio vs HTTP, upgrading the SDK, or debugging MCP registration and transport issues.
## How It Works
### Core concepts
- **Tools**: Actions the model can invoke (e.g. search, run a command). Register with `registerTool()` or `tool()` depending on SDK version.View the complete source on GitHubmedia-processor
When your agent uses it
提供基于 FFmpeg 和 ImageMagick 的多媒体处理能力,支持视频和图像的格式转换、分辨率调整、压缩等操作
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
1,399 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# Media Processor
## 任务目标
- 本 Skill 用于:处理视频和图像文件,进行格式转换、分辨率调整、压缩等操作
- 能力包含:
- 视频格式转换(MP4/AVI/MOV/MKV 等)
- 视频分辨率调整和压缩
- 图像格式转换(JPG/PNG/GIF/WebP 等)
- 图像分辨率调整和压缩
- 批量处理支持
- 触发条件:当用户需要处理视频或图像文件时触发
## 前置准备
- 依赖说明:本 Skill 依赖以下系统工具
- FFmpeg:视频处理工具View the complete source on GitHubmessages-ops
When your agent uses it
Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
745 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Stack
- When to Use
- Guardrails
- Workflow
- Output Format
- Pitfalls
- Verification
Files
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# Messages Ops
Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.
This is not email work. If the dominant surface is a mailbox, use `email-ops`.
## Skill Stack
Pull these ECC-native skills into the workflow when relevant:
- `email-ops` when the message task is really mailbox work
- `connections-optimizer` when the DM thread belongs to outbound network work
- `lead-intelligence` when the live thread should inform targeting or warm-path outreach
- `knowledge-ops` when the thread contents need to be captured into durable context
View the complete source on GitHubmigrate-to-shoehorn
When your agent uses it
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
839 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Why shoehorn?
- Install
- Migration patterns
- When to use each
- Workflow
Files
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# Migrate to Shoehorn
## Why shoehorn?
`shoehorn` lets you pass partial data in tests while keeping TypeScript happy. It replaces `as` assertions with type-safe alternatives.
**Test code only.** Never use shoehorn in production code.
Problems with `as` in tests:
- Trained not to use it
- Must manually specify target type
- Double-as (`as unknown as Type`) for intentionally wrong data
## InstallView the complete source on GitHubml-adoption-playbook
When your agent uses it
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
915 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Phase 1: Problem Framing & Feasibility
- Phase 2: Data Readiness
- Phase 3: Architectural Integration & Decoupling
- Phase 4: Model Implementation & Training
- Phase 5: Handoff to MLOps
- Iterative Agent Workflow
Files
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# ML Adoption Playbook
This skill provides an adaptive methodology for implementing machine learning models into existing software engineering projects. It bridges the gap between traditional SWE and MLOps by structuring how ML should be researched, decoupled, trained, and integrated.
## When to Activate
- A user asks to "add ML" or "add an algorithm" to their existing codebase.
- Planning the integration of a new model (e.g., recommendation, classification, forecasting) into a non-ML application.
- Structuring a workflow for an agent to build, train, and deploy an ML component adaptively.
## Phase 1: Problem Framing & Feasibility
Before writing model code, establish the "why" and "how".
- **Heuristic Check:** Ask the user if a simple heuristic (e.g., regex, rule-based sorting) could solve the problem faster. If yes, start there.
- **Metric Definition:** Define what business metric the ML model is trying to improve (e.g., click-through rate, reduced latency).View the complete source on GitHubmle-workflow
When your agent uses it
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
4,733 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Scope Calibration
- Related Skills
- Reuse the SWE Surface
- Ten MLE Task Simulations
- Iteration Compact
- Decision Brain
- Metric and Mistake Economics
- Data and Feature Hypotheses
- Error Analysis Loop
- Observation Ledger
- Core Workflow
- Review Checklist
- Anti-Patterns
- Output Expectations
Files
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# Machine Learning Engineering Workflow
Use this skill to turn model work into a production ML system with clear data contracts, repeatable training, measurable quality gates, deployable artifacts, and operational monitoring.
## When to Activate
- Planning or reviewing a production ML feature, model refresh, ranking system, recommender, classifier, embedding workflow, or forecasting pipeline
- Converting notebook code into a reusable training, evaluation, batch inference, or online inference pipeline
- Designing model promotion criteria, offline/online evals, experiment tracking, or rollback paths
- Debugging failures caused by data drift, label leakage, stale features, artifact mismatch, or inconsistent training and serving logic
- Adding model monitoring, canary rollout, shadow traffic, or post-deploy quality checks
## Scope Calibration
Use only the lanes that fit the system in front of you. This skill is useful for ranking, search, recommendations, classifiers, forecasting, embeddings, LLM workflows, anomaly detection, and batch analytics, but it should not force one architecture onto all of them.View the complete source on GitHubmoltbook
When your agent uses it
AI Agent的社交网络. 发布帖子、评论、点赞和创建社区。当用户明确要求时才会使用,否则不会使用。
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
6,103 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Skill Files
- Register First
- Config files
- Set Up Your Stepbot identity in Moltbook 💓
- Safety (very important!!)
- Set Up Your Heartbeat 💓
- Authentication
- Check Claim Status
- Posts
- Comments
- Voting
- Submolts (Communities)
- Following Other Moltys
- Your Personalized Feed
- Semantic Search (AI-Powered) 🔍
- Profile
- Moderation (For Submolt Mods) 🛡<U+FE0F>
- Heartbeat Integration 💓
- Response Format
- Rate Limits
- The Human-Agent Bond 🤝
- Everything You Can Do 🦞
- Your Human Can Ask Anytime
- Ideas to try
- Important notes
Files
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# Moltbook
The social network for AI agents. Post, comment, upvote, and create communities.
## Skill Files
| File | URL |
|------|-----|
| **SKILL.md** (this file)
| **HEARTBEAT.md** | `https://www.moltbook.com/heartbeat.md` |
| **MESSAGING.md** | `https://www.moltbook.com/messaging.md` |
| **package.json** (metadata) | `https://www.moltbook.com/skill.json` |
**Install locally:**
```bashView the complete source on GitHubmotion-advanced
When your agent uses it
Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
4,754 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Outputs
- Principles
- Rules
- Decision Guidance
- Core Concepts
- Code Examples
- End-to-End Example
- Constraints / Non-Goals
- Anti-Patterns
- Related Skills
Files
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# Motion Advanced
Complex, interactive, and physics-based animation patterns.
Requires `motion-foundations` to be set up first.
Use these when `motion-patterns` is not enough.
## When to Activate
- Building drag-to-dismiss sheets, swipe gestures, or reorderable lists
- Animating text word-by-word, character-by-character, or as a live counter
- Drawing SVG paths, morphing icons, or animating circular progress
- Writing a custom animation hook (`useScrollReveal`, magnetic button, cursor follower)
- Sequencing multi-step animations imperatively with `useAnimate`
- Building spinners, shimmer skeletons, pulse indicators, or loading button states
View the complete source on GitHubmotion-foundations
When your agent uses it
Motion tokens, spring presets, performance rules, device adaptation, accessibility enforcement, and SSR safety for React / Next.js using motion/react. Foundation layer — all other motion skills depend on this.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
2,537 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Outputs
- Principles
- Rules
- Decision Guidance
- Core Concepts
- Code Examples
- Constraints / Non-Goals
- Anti-Patterns
- Related Skills
Files
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# Motion Foundations
The base layer of the motion system. Defines every value, constraint, and
rule that downstream skills (`motion-patterns`, `motion-advanced`) inherit.
Load this skill before any animation work begins.
## When to Activate
- Starting any animated component from scratch
- Setting up tokens, spring presets, or easing values
- Implementing `prefers-reduced-motion` support
- Debugging hydration mismatches from animation initial states
- Evaluating whether an animation should exist at all
## OutputsView the complete source on GitHubmotion-patterns
When your agent uses it
Production-ready animation patterns for React / Next.js — button, modal, toast, stagger, page transitions, exit animations, scroll, and layout — built on motion-foundations tokens and springs.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,302 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Outputs
- Principles
- Rules
- Decision Guidance
- Core Concepts
- Code Examples
- End-to-End Example
- Constraints / Non-Goals
- Anti-Patterns
- Related Skills
Files
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# Motion Patterns
Copy-paste patterns for the most common UI animation needs.
Every pattern here is built on `motion-foundations` tokens and springs.
Do not define new duration or easing values here — import them.
## When to Activate
- Animating a button, card, modal, or toast notification
- Building list entrances with stagger
- Setting up page transitions in Next.js App Router
- Adding entrance or exit animations to conditional content
- Implementing scroll-reveal, scroll-linked progress, or sticky story sections
- Building expanding cards, accordions, or shared-element transitions
View the complete source on GitHubmotion-ui
When your agent uses it
Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
3,599 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
Files
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# Motion System v4.2
Production-ready UI motion system for React / Next.js.
Focused on **performance, accessibility, and usability** — not decoration.
## When to Use
Use this motion system when motion:
* Guides attention (e.g., onboarding, key actions)
* Communicates state (loading, success, error, transitions)
* Preserves spatial continuity (layout changes, navigation)
### Appropriate ScenariosView the complete source on GitHubmulti-agent-meeting
When your agent uses it
模拟多个AI智能体协作开会并进行决策讨论的场景。适用于需要从多个专业角度分析问题、进行辩论和达成共识的场景,如项目决策、技术方案评审、商业策略制定等。
What it loads into context
Frontmatter
193 tokensAlways available to the agent
SKILL.md
1,420 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 操作步骤
- 资源索引
- 使用示例
- 注意事项
Files
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# 多智能体会议决策
## 任务目标
- 本 Skill 用于: 模拟多个不同专业背景和性格特征的AI智能体进行会议讨论,最终达成决策共识
- 能力包含:
- 自定义会议主题和目标
- 配置多个智能体角色(角色名、专业领域、性格特点)
- 模拟真实的会议讨论流程(发言、辩论、补充、总结)
- 实时展示会议发言过程
- 生成包含决策结论、关键论据、风险提示和后续行动的完整会议记录
- 触发条件: 用户需要从多个角度分析问题、需要不同领域的专业知识碰撞、需要模拟团队决策讨论时
## 操作步骤
### 1. 确定会议主题和目标View the complete source on GitHubmysql-patterns
When your agent uses it
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,935 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Activation
- Version Check
- Schema Defaults
- Indexing
- Query Patterns
- Transactions
- Connection Pools
- Diagnostics
- Replication
- Security
- Configuration
- Anti-Patterns
- Output Expectations
- Related
Files
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# MySQL Patterns
Use this skill when working on MySQL or MariaDB schema design, migrations,
slow-query investigation, queue-style transactions, connection pools, or
production database configuration. Prefer exact version checks before applying a
feature-specific pattern because MySQL and MariaDB have diverged in several SQL
details.
## Activation
- Designing MySQL or MariaDB tables, indexes, and constraints
- Reviewing migrations before they run on large production tables
- Debugging slow queries, lock waits, deadlocks, or connection exhaustion
- Adding keyset pagination, upserts, full-text search, JSON columns, or queues
- Configuring application connection pools, read replicas, TLS, or slow logsView the complete source on GitHubnanobanana-ppt-visualizer
When your agent uses it
PPT 视觉增强工具,支持多种风格渲染、交互式播放器生成和视频合成。可与 ppt-generator Skill 协同工作,实现从内容规划到视觉呈现的完整流程。
What it loads into context
Frontmatter
190 tokensAlways available to the agent
SKILL.md
2,010 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 协同工作流程
- 资源索引
- 注意事项
- 使用示例
Files
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# PPT 视觉增强工具
## 任务目标
- 本 Skill 用于:为 PPT 内容生成高质量视觉呈现,包括图片渲染、交互式播放器和视频合成
- 能力包含:风格化图片生成、HTML 播放器生成、视频素材管理、FFmpeg 视频合成
- 触发条件:用户需要为 PPT 内容添加视觉效果,或与 ppt-generator Skill 协同工作
## 前置准备
- 依赖说明:scripts 脚本所需的依赖包
```
pillow>=9.0.0
python-dotenv>=0.19.0
```
- 系统依赖:FFmpeg(可选,用于视频合成功能)
```bashView the complete source on GitHubnanoclaw-repl
When your agent uses it
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
279 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Capabilities
- Operating Guidance
- Extension Rules
Files
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# NanoClaw REPL
Use this skill when running or extending `scripts/claw.js`.
## Capabilities
- persistent markdown-backed sessions
- model switching with `/model`
- dynamic skill loading with `/load`
- session branching with `/branch`
- cross-session search with `/search`
- history compaction with `/compact`
- export to md/json/txt with `/export`
- session metrics with `/metrics`
View the complete source on GitHubnestjs-patterns
When your agent uses it
NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.
What it loads into context
Frontmatter
143 tokensAlways available to the agent
SKILL.md
1,504 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Project Structure
- Bootstrap and Global Validation
- Modules, Controllers, and Providers
- DTOs and Validation
- Auth, Guards, and Request Context
- Exception Filters and Error Shape
- Config and Environment Validation
- Persistence and Transactions
- Testing
- Production Defaults
Files
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# NestJS Development Patterns
Production-grade NestJS patterns for modular TypeScript backends.
## When to Activate
- Building NestJS APIs or services
- Structuring modules, controllers, and providers
- Adding DTO validation, guards, interceptors, or exception filters
- Configuring environment-aware settings and database integrations
- Testing NestJS units or HTTP endpoints
## Project Structure
```textView the complete source on GitHubnetmiko-ssh-automation
When your agent uses it
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
1,408 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Safety Defaults
- Read-Only Connection Pattern
- Batch Collection
- Structured Parsing
- Guarded Config Pattern
- Review Checklist
- Anti-Patterns
- See Also
Files
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# Netmiko SSH Automation
Use this skill when writing or reviewing Python automation that connects to
network devices with Netmiko. Keep the default path read-only; config changes
need a separate change window, peer review, and rollback plan.
## When to Use
- Collecting `show` command output across routers, switches, or firewalls.
- Building a small audit script for interface, routing, or config evidence.
- Adding timeouts and exception handling to network SSH scripts.
- Parsing command output with TextFSM when a template exists.
- Reviewing automation before it touches production devices.
## Safety DefaultsView the complete source on GitHubnetwork-bgp-diagnostics
When your agent uses it
Diagnostics-only BGP troubleshooting patterns for neighbor state, route exchange, prefix policy, AS path inspection, and safe evidence collection.
What it loads into context
Frontmatter
140 tokensAlways available to the agent
SKILL.md
1,442 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Read-Only Triage Flow
- State Interpretation
- Transport Checks
- Route Policy Checks
- AS Path And Prefix Review
- Parser Pattern
- Change-Window Only
- Anti-Patterns
- See Also
Files
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# Network BGP Diagnostics
Use this skill when a BGP session is down, flapping, established with missing
routes, or advertising unexpected prefixes. The default workflow is read-only
evidence collection; policy and reset actions belong in a reviewed change
window.
## When to Use
- BGP neighbors are stuck in Idle, Connect, Active, OpenSent, or OpenConfirm.
- A session is Established but expected prefixes are missing.
- A route-map, prefix-list, max-prefix limit, or AS path policy may be filtering
routes.
- You need before/after evidence for a BGP change.
- You are reviewing automation that parses BGP summary output.View the complete source on GitHubnetwork-config-validation
When your agent uses it
Pre-deployment checks for router and switch configuration, including dangerous commands, duplicate addresses, subnet overlaps, stale references, management-plane risk, and IOS-style security hygiene.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
1,931 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Dangerous Command Detection
- Duplicate IPs And Subnet Overlaps
- Management-Plane Checks
- Security Hygiene Checks
- Examples
- Anti-Patterns
- See Also
Files
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# Network Config Validation
Use this skill to review network configuration before a change window or before
an automation run touches production devices.
## When to Use
- Reviewing Cisco IOS or IOS-XE style snippets before deployment.
- Auditing generated config from scripts or templates.
- Looking for dangerous commands, duplicate IP addresses, or subnet overlaps.
- Checking whether ACLs, route-maps, prefix-lists, or line policies are referenced
but not defined.
- Building lightweight pre-flight scripts for network automation.
## How It WorksView the complete source on GitHubnetwork-interface-health
When your agent uses it
Diagnose interface errors, drops, CRCs, duplex mismatches, flapping, speed negotiation issues, and counter trends on routers, switches, and Linux hosts.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,403 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Counter Reference
- Diagnosis Flow
- Safe Parser Example
- Examples
- Anti-Patterns
- See Also
Files
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# Network Interface Health
Use this skill when a network symptom might be caused by a physical link, switch
port, cable, transceiver, duplex setting, or congested interface.
## When to Use
- A host or VLAN has packet loss, latency spikes, or intermittent reachability.
- A switch or router interface shows CRCs, runts, giants, drops, resets, or flaps.
- You need to compare both ends of a link before replacing hardware.
- A change window needs before/after interface counter evidence.
- Monitoring reports rising `ifInErrors`, `ifOutErrors`, or `ifOutDiscards`.
## How It Works
View the complete source on GitHubnextjs-turbopack
When your agent uses it
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
784 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Middleware File Naming
- Best Practices
Files
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# Next.js and Turbopack
Next.js 16+ uses Turbopack by default for local development: an incremental bundler written in Rust that significantly speeds up dev startup and hot updates.
## When to Use
- **Turbopack (default dev)**: Use for day-to-day development. Faster cold start and HMR, especially in large apps.
- **Webpack (legacy dev)**: Use only if you hit a Turbopack bug or rely on a webpack-only plugin in dev. Disable with `--webpack` (or `--no-turbopack` depending on your Next.js version; check the docs for your release).
- **Production**: Production build behavior (`next build`) may use Turbopack or webpack depending on Next.js version; check the official Next.js docs for your version.
Use when: developing or debugging Next.js 16+ apps, diagnosing slow dev startup or HMR, or optimizing production bundles.
## How It Works
- **Turbopack**: Incremental bundler for Next.js dev. Uses file-system caching so restarts are much faster (e.g. 5–14x on large projects).View the complete source on GitHubnodejs-keccak256
When your agent uses it
Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
890 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Examples
- Rule
Files
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# Node.js Keccak-256
Ethereum uses Keccak-256, not the NIST-standardized SHA3 variant exposed by Node's `crypto.createHash('sha3-256')`.
## When to Use
- Computing Ethereum function selectors or event topics
- Building EIP-712, signature, Merkle, or storage-slot helpers in JS/TS
- Reviewing any code that hashes Ethereum data with Node crypto directly
## How It Works
The two algorithms produce different outputs for the same input, and Node will not warn you.
```javascriptView the complete source on GitHubnutrient-document-processing
When your agent uses it
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
What it loads into context
Frontmatter
141 tokensAlways available to the agent
SKILL.md
1,797 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Setup
- Operations
- MCP Server (Alternative)
- When to Use
- Links
Files
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# Nutrient Document Processing
> **Note:** This skill integrates with the Nutrient commercial API. Review their terms before use.
Process documents with the [Nutrient DWS Processor API](https://www.nutrient.io/api/). Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms.
## Setup
Get a free API key at **[nutrient.io](https://dashboard.nutrient.io/sign_up/?product=processor)**
```bash
[Credential-related source omitted]
```
All requests go to `https://api.nutrient.io/build` as multipart POST with an `instructions` JSON field.View the complete source on GitHubnuxt4-patterns
When your agent uses it
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData.
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
1,169 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Hydration Safety
- Data Fetching
- Route Rules
- Lazy Loading and Performance
- Review Checklist
Files
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# Nuxt 4 Patterns
Use when building or debugging Nuxt 4 apps with SSR, hybrid rendering, route rules, or page-level data fetching.
## When to Activate
- Hydration mismatches between server HTML and client state
- Route-level rendering decisions such as prerender, SWR, ISR, or client-only sections
- Performance work around lazy loading, lazy hydration, or payload size
- Page or component data fetching with `useFetch`, `useAsyncData`, or `$fetch`
- Nuxt routing issues tied to route params, middleware, or SSR/client differences
## Hydration Safety
- Keep the first render deterministic. Do not put `Date.now()`, `Math.random()`, browser-only APIs, or storage reads directly into SSR-rendered template state.View the complete source on GitHubobsidian-bases
When your agent uses it
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
4,781 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- File Format
- Complete Schema
- Filter Syntax
- Properties
- Formula Syntax
- Functions Reference
- View Types
- Default Summary Formulas
- Complete Examples
- Embedding Bases
- YAML Quoting Rules
- Common Patterns
- References
Files
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# Obsidian Bases Skill
This skill enables skills-compatible agents to create and edit valid Obsidian Bases (`.base` files) including views, filters, formulas, and all related configurations.
## Overview
Obsidian Bases are YAML-based files that define dynamic views of notes in an Obsidian vault. A Base file can contain multiple views, global filters, formulas, property configurations, and custom summaries.
## File Format
Base files use the `.base` extension and contain valid YAML. They can also be embedded in Markdown code blocks.
## Complete Schema
```yamlView the complete source on GitHubobsidian-markdown
When your agent uses it
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
What it loads into context
Frontmatter
168 tokensAlways available to the agent
SKILL.md
3,249 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Basic Formatting
- Internal Links (Wikilinks)
- Markdown-Style Links
- Embeds
- Callouts
- Lists
- Quotes
- Code
- Tables
- Math (LaTeX)
- Diagrams (Mermaid)
- Footnotes
- Comments
- Horizontal Rules
- Properties (Frontmatter)
- Tags
- HTML Content
- Complete Example
- References
Files
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# Obsidian Flavored Markdown Skill
This skill enables skills-compatible agents to create and edit valid Obsidian Flavored Markdown, including all Obsidian-specific syntax extensions.
## Overview
Obsidian uses a combination of Markdown flavors:
- [CommonMark](https://commonmark.org/)
- [GitHub Flavored Markdown](https://github.github.com/gfm/)
- [LaTeX](https://www.latex-project.org/) for math
- Obsidian-specific extensions (wikilinks, callouts, embeds, etc.)
## Basic Formatting
### Paragraphs and Line BreaksView the complete source on GitHubobsidian-vault
When your agent uses it
Search, create, and manage notes in the Obsidian vault with wikilinks and index notes. Use when user wants to find, create, or organize notes in Obsidian.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
513 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Vault location
- Naming conventions
- Linking
- Workflows
Files
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# Obsidian Vault
## Vault location
`/mnt/d/Obsidian Vault/AI Research/`
Mostly flat at root level.
## Naming conventions
- **Index notes**: aggregate related topics (e.g., `Ralph Wiggum Index.md`, `Skills Index.md`, `RAG Index.md`)
- **Title case** for all note names
- No folders for organization - use links and index notes instead
## LinkingView the complete source on GitHubopenclaw-persona-forge
When your agent uses it
为 OpenClaw AI Agent 锻造完整的龙虾灵魂方案。根据用户偏好或随机抽卡, 输出身份定位、灵魂描述(SOUL.md)、角色化底线规则、名字和头像生图提示词。 如当前环境提供已审核的生图 skill,可自动生成统一风格头像图片。 当用户需要创建、设计或定制 OpenClaw 龙虾灵魂时使用。 不适用于:微调已有 SOUL.md、非 OpenClaw 平台的角色设计、纯工具型无性格 Agent。 触发词:龙虾灵魂、虾魂、OpenClaw 灵魂、养虾灵魂、龙虾角色、龙虾定位、 龙虾剧本杀角色、龙虾游戏角色、龙虾 NPC、龙虾性格、龙虾背景故事、 lobster soul、lobster character、抽卡、随机龙虾、龙虾 SOUL、gacha。
What it loads into context
Frontmatter
372 tokensAlways available to the agent
SKILL.md
3,748 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- 前置条件
- Skill 目录约定
- 内置工具
- 可选依赖
- 核心理念
- How It Works
- Step 1:选方向(引导模式)
- Step 1-B:抽卡模式
- Step 2:锻造身份张力
- Step 3:推导底线规则
- Step 4:锻造名字
- Step 5:生成头像
- Step 6:输出完整方案 & 生成文件
- 对话语气指南
- Examples
- 错误处理
- 注意事项
- 兼容性
Files
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# 龙虾灵魂锻造炉
> 不是给你一只工具龙虾,而是帮你锻造一只有灵魂的龙虾。
## When to Use
- 当用户需要从零创建 OpenClaw 龙虾灵魂、角色设定、SOUL.md 或 IDENTITY.md
- 当用户想通过引导式问答或抽卡模式快速得到完整 persona 方案
- 当用户已经有一个粗糙设定,但还缺名字、边界规则、头像提示词或成套输出文件
### Avoid when
- 用户只需微调已有 SOUL.md
- 目标平台不是 OpenClaw,需要的是其他 Agent 框架专用格式
- 用户需要纯工具型 Agent,不需要角色化灵魂View the complete source on GitHubopensource-pipeline
When your agent uses it
Open-source pipeline: fork, sanitize, and package private projects for safe public release. Chains 3 agents (forker, sanitizer, packager). Triggers: '/opensource', 'open source this', 'make this public', 'prepare for open source'.
What it loads into context
Frontmatter
170 tokensAlways available to the agent
SKILL.md
1,811 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Commands
- Protocol
- Staging Layout
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Open-Source Pipeline Skill
Safely open-source any project through a 3-stage pipeline: **Fork** (strip secrets) → **Sanitize** (verify clean) → **Package** (CLAUDE.md + setup.sh + README).
## When to Activate
- User says "open source this project" or "make this public"
- User wants to prepare a private repo for public release
- User needs to strip secrets before pushing to GitHub
- User invokes `/opensource fork`, `/opensource verify`, or `/opensource package`
## Commands
| Command | Action |
|---------|--------|View the complete source on GitHuborch-add-feature
When your agent uses it
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
560 tokensWhen the skill is activated
Reference documents
1,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operation settings
- How It Works
- Example
Files
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# orch-add-feature
Actor · action · target: **orch · add · feature**. Thin wrapper over the shared
engine in [`orch-pipeline`](../orch-pipeline/SKILL.md).
## When to Use
- The user wants a capability that does **not exist yet** ("add", "build",
"implement", "support …").
- It is net-new behavior — not a correction (`orch-fix-defect`) and not an
alteration of existing behavior (`orch-change-feature`).
## Operation settings
- **Default size floor:** standard — run Research + Plan unless clearly small.View the complete source on GitHuborch-build-mvp
When your agent uses it
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the doc, plan thin vertical slices, scaffold the first end-to-end slice, then TDD-implement, review, and gated commit. Use to turn an SDD/PRD into a running starting point.
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
740 tokensWhen the skill is activated
Reference documents
1,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operation settings
- How It Works
- Example
Files
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# orch-build-mvp
Actor · action · target: **orch · build · mvp**. Thin wrapper over the shared
engine in [`orch-pipeline`](../orch-pipeline/SKILL.md).
## When to Use
- The user has a **design / spec document** (SDD, PRD, system_design) and wants a
working vertical slice bootstrapped from it.
- Takes a doc path as its argument, e.g. `civicpulse/docs/SDD-v0.6.md`.
## Operation settings
- **Default size floor:** large — this is the full pipeline including Scaffold.
- **Phase mask:** 0 (read the spec) → 1 → 2 (heavy) → 3 (scaffold) → 4 → 5 → 6.View the complete source on GitHuborch-change-feature
When your agent uses it
Orchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
519 tokensWhen the skill is activated
Reference documents
1,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operation settings
- How It Works
- Example
Files
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# orch-change-feature
Actor · action · target: **orch · change · feature**. Thin wrapper over the
shared engine in [`orch-pipeline`](../orch-pipeline/SKILL.md).
## When to Use
- An existing feature **works**, but the desired behavior is different ("change",
"adjust", "make it also …", "instead of X do Y").
- Distinguish from siblings:
- **not** broken → not `orch-fix-defect` (no bug to reproduce).
- **not** new → not `orch-add-feature` (the capability already exists).
## Operation settings
View the complete source on GitHuborch-fix-defect
When your agent uses it
Orchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
535 tokensWhen the skill is activated
Reference documents
1,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operation settings
- How It Works
- Example
Files
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# orch-fix-defect
Actor · action · target: **orch · fix · defect**. Thin wrapper over the shared
engine in [`orch-pipeline`](../orch-pipeline/SKILL.md).
## When to Use
- Something is **broken**: wrong output, an error, a crash, a regression.
- Distinguish from siblings:
- behavior is correct but you want it different → `orch-change-feature`.
- the capability does not exist yet → `orch-add-feature`.
## Operation settings
- **Default size floor:** small (often trivial).View the complete source on GitHuborch-pipeline
When your agent uses it
Shared orchestration engine for the orch-* skill family. Defines the gated Research-Plan-TDD-Review-Commit pipeline, the size classifier, the agent map, and the two human gates that the orch-* operation skills delegate to. Not usually invoked directly.
What it loads into context
Frontmatter
168 tokensAlways available to the agent
SKILL.md
1,638 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- The operation family
- Step 0 — Classify size (right-sizing)
- The phases
- The two gates
- Agent / command map
- Security-review trigger
- Handoff artifacts
- Verification
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# Orchestrator Pipeline (shared engine)
The `orch-*` skills are thin wrappers. They do not re-implement any work — they
classify the request, choose which phases of *this* pipeline run, and delegate
each phase to an existing ECC agent or command. This file is that pipeline.
> Invoke an operation skill (`orch-add-feature`, `orch-fix-defect`, …) rather
> than this engine directly. This file is the reference they point at.
## When to Use
- Loaded indirectly whenever an `orch-*` operation skill runs.
- Read directly only when adding a new operation to the family or tuning the
shared phases, gates, or agent map.
View the complete source on GitHuborch-refine-code
When your agent uses it
Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
549 tokensWhen the skill is activated
Reference documents
1,638 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Operation settings
- How It Works
- Example
Files
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# orch-refine-code
Actor · action · target: **orch · refine · code**. Thin wrapper over the shared
engine in [`orch-pipeline`](../orch-pipeline/SKILL.md).
## When to Use
- Same behavior, **better structure**: extract modules, remove duplication, kill
dead code, reduce nesting, rename for clarity.
- Distinguish from siblings: if behavior is meant to change at all, this is the
wrong skill (`orch-change-feature` / `orch-fix-defect`).
## Operation settings
- **Default size floor:** standard — restructures touch multiple files.View the complete source on GitHubpaper-analysis-assistant
When your agent uses it
根据arXiv论文网址自动下载PDF并进行多维度分析,包括文本提取、词频分析、语音播报、播客对话生成、交互式网页、PPT、总结图和引用分析
What it loads into context
Frontmatter
168 tokensAlways available to the agent
SKILL.md
1,614 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# 论文分析助手
## 任务目标
- 本 Skill 用于:根据 arXiv 论文网址自动进行多维度分析并生成多种格式的输出
- 能力包含:PDF 下载与文本提取、词频统计、语音合成、播客对话生成、交互式网页、PPT 生成、总结图生成、引用分析
- 触发条件:用户提供 arXiv 论文网址或论文 PDF 文件
## 前置准备
- 依赖说明:所需 Python 包已在 dependency 中列出
- 停用词资源:需准备英文停用词列表,用于词频分析过滤
## 操作步骤
- 标准流程:
1. **下载 PDF 文件**
- 调用 `scripts/download_pdf.py` 下载 arXiv PDFView the complete source on GitHubparallel-execution-optimizer
When your agent uses it
Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
652 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Pattern
- Lane Matrix
- Execution Rules
- Output Shape
- Failure Modes
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# Parallel Execution Optimizer
Use this skill when speed comes from doing independent work at the same time:
repo inspection, file reads, API checks, browser checks, build/test lanes,
deploy readbacks, or multi-worktree implementation passes.
## Core Pattern
Turn urgency into a dependency graph before acting.
1. Define the objective and done signal.
2. Split work into lanes.
3. Mark each lane as parallel, sequential, or gated.
4. Run independent reads/checks together.
5. Keep writes isolated by file, worktree, branch, service, or dataset.View the complete source on GitHubWhen your agent uses it
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
What it loads into context
Frontmatter
192 tokensAlways available to the agent
SKILL.md
2,168 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Quick Start
- Python Libraries
- Command-Line Tools
- Common Tasks
- Quick Reference
- Next Steps
Files
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# PDF Processing Guide
## Overview
This guide covers essential PDF processing operations using Python libraries and command-line tools. For advanced features, JavaScript libraries, and detailed examples, see REFERENCE.md. If you need to fill out a PDF form, read FORMS.md and follow its instructions.
## Quick Start
```python
from pypdf import PdfReader, PdfWriter
# Read a PDF
reader = PdfReader("document.pdf")
print(f"Pages: {len(reader.pages)}")
View the complete source on GitHubPDF Processing Pro
When your agent uses it
Production-ready PDF processing with forms, tables, OCR, validation, and batch operations. Use when working with complex PDF workflows in production environments, processing large volumes of PDFs, or requiring robust error handling and validation.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,733 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick start
- Features
- Advanced topics
- Included scripts
- Common workflows
- Error handling
- Dependencies
- Performance tips
- Best practices
- Troubleshooting
- Getting help
Files
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# PDF Processing Pro
Production-ready PDF processing toolkit with pre-built scripts, comprehensive error handling, and support for complex workflows.
## Quick start
### Extract text from PDF
```python
import pdfplumber
with pdfplumber.open("document.pdf") as pdf:
text = pdf.pages[0].extract_text()
print(text)
```View the complete source on GitHubperl-patterns
When your agent uses it
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications.
What it loads into context
Frontmatter
120 tokensAlways available to the agent
SKILL.md
3,525 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- How It Works
- Core Principles
- Error Handling
- Modern OO with Moo
- Regular Expressions
- Data Structures
- File I/O
- Module Organization
- Tooling
- Quick Reference: Modern Perl Idioms
- Anti-Patterns
Files
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# Modern Perl Development Patterns
Idiomatic Perl 5.36+ patterns and best practices for building robust, maintainable applications.
## When to Activate
- Writing new Perl code or modules
- Reviewing Perl code for idiom compliance
- Refactoring legacy Perl to modern standards
- Designing Perl module architecture
- Migrating pre-5.36 code to modern Perl
## How It Works
Apply these patterns as a bias toward modern Perl 5.36+ defaults: signatures, explicit modules, focused error handling, and testable boundaries. The examples below are meant to be copied as starting points, then tightened for the actual app, dependency stack, and deployment model in front of you.View the complete source on GitHubperl-security
When your agent uses it
Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
3,868 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- How It Works
- Taint Mode
- Input Validation
- Safe Regular Expressions
- Safe File Operations
- Safe Process Execution
- SQL Injection Prevention
- Web Security
- Output Encoding
- CPAN Module Security
- Security Tooling
- Quick Security Checklist
- Anti-Patterns
Files
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# Perl Security Patterns
Comprehensive security guidelines for Perl applications covering input validation, injection prevention, and secure coding practices.
## When to Activate
- Handling user input in Perl applications
- Building Perl web applications (CGI, Mojolicious, Dancer2, Catalyst)
- Reviewing Perl code for security vulnerabilities
- Performing file operations with user-supplied paths
- Executing system commands from Perl
- Writing DBI database queries
## How It Works
View the complete source on GitHubperl-testing
When your agent uses it
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
3,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- TDD Workflow
- Test::More Fundamentals
- Test2::V0 Modern Framework
- Test Organization and prove
- Fixtures and Setup/Teardown
- Mocking
- Coverage with Devel::Cover
- Best Practices
- Quick Reference
- Common Pitfalls
Files
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# Perl Testing Patterns
Comprehensive testing strategies for Perl applications using Test2::V0, Test::More, prove, and TDD methodology.
## When to Activate
- Writing new Perl code (follow TDD: red, green, refactor)
- Designing test suites for Perl modules or applications
- Reviewing Perl test coverage
- Setting up Perl testing infrastructure
- Migrating tests from Test::More to Test2::V0
- Debugging failing Perl tests
## TDD Workflow
View the complete source on GitHubpet-commerce-creator
When your agent uses it
萌宠带货短视频全流程创作技能,基于COZE视频大模型API,支持萌宠剧情/好物测评/品种科普/宠品带货等全类型创作,覆盖爆款解析反推、知识库联动、互动优化、素材批量下载、全素材整合,实现从创意到带货引流型成品视频的自动化生成,适配15-30秒竖屏9:16主流平台规格。
What it loads into context
Frontmatter
232 tokensAlways available to the agent
SKILL.md
3,029 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# 萌宠带货内容智创工坊
## 任务目标
- 本技能用于:萌宠带货短视频全流程自动化创作,聚焦涨粉与商品转化
- 能力包含:
- 爆款视频链接解析反推并自动入库
- 基于知识库的创意拆解、脚本创作、分镜设计
- 适配COZE API的分镜图片、字幕、音效素材生成
- 支持全步骤互动评价与批量素材下载
- COZE API全素材整合合成带货型成品视频
- 全流程质检与数据迭代闭环
- 触发条件:用户萌宠短视频创作需求(故事/测评/科普/带货)、视频链接解析需求、知识库调取需求
## 前置准备
- 依赖说明:技能所需依赖包View the complete source on GitHubplan-canvas
When your agent uses it
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
1,719 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Diagrams (Mermaid)
- Rules
- Examples
- Anti-Patterns
Files
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# Plan Canvas
Review loop for plans and visual artifacts: you write the artifact, the human
reviews it in the browser — annotating the exact element they mean, chatting,
and delivering an **Approve plan / Request changes** verdict — while you block
on a single CLI call that returns their feedback as JSON.
Inspired by [lavish-axi](https://github.com/kunchenguid/lavish-axi); rebuilt
ECC-native around the `/plan` confirmation gate, with zero dependencies.
## When to Use
- You just wrote a plan artifact (`.claude/plans/*.plan.md` from `/plan`) and
need the CONFIRM/approve decision — the canvas verdict replaces a typed
"yes/proceed".View the complete source on GitHubplan-orchestrate
When your agent uses it
Read a plan document, decompose it into steps, design a per-step agent chain from the ECC catalogue, and emit ready-to-paste /orchestrate custom prompts. Generative only — never invokes /orchestrate itself. Use when the user has a multi-step plan and wants to drive it through orchestrate without composing chains by hand.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
4,701 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Inputs
- Authoritative `/orchestrate` shape (do not deviate)
- ECC install form and namespacing
- Available agent catalogue (must pick from these)
- How It Works
- Edge cases
- Examples
- Notes
Files
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# Plan Orchestrate
Bridge a plan document to `/orchestrate custom` by emitting one ready-to-paste invocation per step. The skill is generative only — it never executes `/orchestrate`. The user pastes each line when ready.
## When to Activate
- User has a multi-step plan document (PRD, RFC, implementation plan) and wants to drive it through `/orchestrate`.
- User says "orchestrate this plan", "give me orchestrate prompts for each step", "compose chains for this plan".
- A step-by-step plan exists but the user does not want to manually pick agents per step.
Skip when:
- The work is one ad-hoc step → call `/orchestrate custom` directly.
- The plan is unreadable or empty. Lack of explicit numbering alone is not a skip condition — see the "No clear steps" edge case below.
## InputsView the complete source on GitHubplankton-code-quality
When your agent uses it
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
2,154 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Setup
- Pairing with ECC
- Configuration Reference
- Environment Overrides
- References
- ECC v1.8 Additions
Files
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# Plankton Code Quality Skill
Integration reference for Plankton (credit: @alxfazio), a write-time code quality enforcement system for Claude Code. Plankton runs formatters and linters on every file edit via PostToolUse hooks, then spawns Claude subprocesses to fix violations the agent didn't catch.
## When to Use
- You want automatic formatting and linting on every file edit (not just at commit time)
- You need defense against agents modifying linter configs to pass instead of fixing code
- You want tiered model routing for fixes (Haiku for simple style, Sonnet for logic, Opus for types)
- You work with multiple languages (Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, Dockerfile)
## How It Works
### Three-Phase Architecture
View the complete source on GitHubpoetry-music-visual
When your agent uses it
为古诗词提供配图与配乐的全流程创作指导;支持深度解析诗词意境、生成画面描述、提供配乐创作蓝图(Suno格式);适用于诗词可视化、MV创作、文化传播等场景
What it loads into context
Frontmatter
208 tokensAlways available to the agent
SKILL.md
2,308 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
- 使用流程建议
Files
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# 古诗词配图配乐创作指导
## 任务目标
- 本 Skill 用于:将古诗词转化为视觉与听觉双重艺术形式
- 能力包含:
1. 深度解析古诗词的意象、情感、表现手法及文化背景
2. 生成与诗词意境契合的配图场景描述
3. 提供纯音乐配乐创作蓝图(Suno 格式的风格标签+结构指令)
4. 整合视觉与听觉元素,确保艺术风格的统一性
- 触发条件:用户需要为古诗词配图、配乐或制作诗词MV
## 操作步骤
### 1. 诗词深度解析
根据用户提供的信息(标题、作者、内容)进行多维度分析:View the complete source on GitHubpop-up-book-illustration
When your agent uses it
生成3D纸艺弹出书风格插画,具备立体层次感、明亮温暖色调,适用于科技、教育、品牌展示等场景
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
1,584 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 核心设计要素
- 操作步骤
- 使用示例
- 注意事项
- 适用场景
Files
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# 3D纸艺弹出书插画生成
## 任务目标
- 本 Skill 用于:生成具有3D立体纸艺效果的弹出书风格插画
- 能力包含:结合纸质纹理与数字科技元素,创造温暖而富有科技感的视觉作品
- 触发条件:用户需要生成具有纸艺质感、立体层次、特定色调(薄荷绿/天蓝/珊瑚橙/奶油黄)的插画时
## 核心设计要素
### 色彩方案
- 主色调:薄荷绿(清新轻盈)
- 辅助色:天蓝色(科技感)、珊瑚橙(活力)、奶油黄(温暖)
- 整体氛围:明亮温暖,避免深沉或冷峻色调
### 视觉特征View the complete source on GitHubpostgres-patterns
When your agent uses it
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
1,114 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Quick Reference
- Related
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# PostgreSQL Patterns
Quick reference for PostgreSQL best practices. For detailed guidance, use the `database-reviewer` agent.
## When to Activate
- Writing SQL queries or migrations
- Designing database schemas
- Troubleshooting slow queries
- Implementing Row Level Security
- Setting up connection pooling
## Quick Reference
### Index Cheat SheetView the complete source on GitHubppt-generator
When your agent uses it
基于七角色协作的智能 PPT 生成与优化工具。支持主题生成、模板推荐、内容填充、AI 智能配图、文本润色和 PPTX 文件生成。适用于学术汇报、商业演示、培训课件、产品发布等多种场景。
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
3,359 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# PPT 生成与优化器
## 任务目标
- 本 Skill 用于:通过七角色协作工作流,从零生成高质量 PPT 或优化现有 PPT 内容
- 能力包含:主题生成、模板推荐、内容填充、AI 智能配图、文本润色、PPTX 文件生成
- 触发条件:用户需要制作 PPT、优化 PPT 内容、或基于主题生成演示文稿
## 前置准备
- 依赖说明:scripts 脚本所需的依赖包
```
python-pptx>=0.6.21
```
## 操作步骤
View the complete source on GitHubppt-roadshow-generator
When your agent uses it
PPT 路演视频全流程生成器,支持品牌风格学习、智能配音、音效音乐、字幕和一键视频合成。可一次性生成 15-100 页风格统一的完整路演视频。
What it loads into context
Frontmatter
176 tokensAlways available to the agent
SKILL.md
2,839 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# PPT 路演视频生成器
## 任务目标
- 本 Skill 用于:从文档分析到完整路演视频的全流程生成,包含配音、音效、音乐、字幕和转场动画
- 能力包含:文档分析、品牌风格学习、结构化规划、内容生成、视觉设计、演讲稿撰写、配音、音效、字幕、视频合成
- 触发条件:用户需要制作路演视频、产品发布演示、公司介绍视频等
## 前置准备
- 依赖说明:scripts 脚本所需的依赖包
```
moviepy>=1.0.3
pillow>=9.0.0
pydub>=0.25.1
requests>=2.28.0
```View the complete source on GitHubpptx
When your agent uses it
Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
What it loads into context
Frontmatter
260 tokensAlways available to the agent
SKILL.md
2,461 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- Reading Content
- Editing Workflow
- Creating from Scratch
- Design Ideas
- QA (Required)
- Converting to Images
- Dependencies
Files
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# PPTX Skill
## Quick Reference
| Task | Guide |
|------|-------|
| Read/analyze content | `python -m markitdown presentation.pptx` |
| Edit or create from template | Read [editing.md](editing.md) |
| Create from scratch | Read [pptxgenjs.md](pptxgenjs.md) |
---
## Reading Content
```bashView the complete source on GitHubpptx-generator
When your agent uses it
将 JSON 格式的 PPT 内容转换为标准的 .pptx 文件。使用 python-pptx 库,支持多种布局、图表、表格和样式。与 ppt-generator Skill 完全协同,可作为独立使用或与其他 PPT Skill 配合。
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
2,059 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# PPTX 文件生成器
## 任务目标
- 本 Skill 用于:将 JSON 格式的 PPT 内容转换为标准的 .pptx 文件
- 能力包含:JSON 解析、PPTX 创建、多布局支持、样式应用、图表生成、表格生成
- 触发条件:用户需要生成 .pptx 文件,或需要将 JSON 数据转换为可编辑的 PPT
## 前置准备
- 依赖说明:scripts 脚本所需的依赖包
```
python-pptx>=1.0.2
pillow>=9.0.0
openpyxl>=3.1.0
```
View the complete source on GitHubprediction-market-oracle-research
When your agent uses it
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
542 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Guardrails
- Research Workflow
- Integration Patterns
- Output Contract
Files
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# Prediction Market Oracle Research
Use this skill when prediction markets are being considered as a data source,
forecasting input, oracle-like signal, or decision-intelligence layer.
## Guardrails
- Do not treat market prices as objective truth.
- Do not provide investment advice or trading recommendations.
- Separate venue mechanics, liquidity, incentives, and resolution rules from the
implied signal.
- Call out manipulation, thin liquidity, stale markets, and ambiguous outcomes.
- For on-chain or execution-linked systems, run `llm-trading-agent-security`
before granting any write authority.
View the complete source on GitHubprediction-market-risk-review
When your agent uses it
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
484 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Review Gates
- Output Contract
Files
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# Prediction Market Risk Review
Use this skill before a prediction-market workflow touches user financial
context, venue authentication, portfolio data, automation, or execution-capable
tools.
## Review Gates
### Advice Boundary
- Confirm the output is informational.
- Remove buy/sell/hold/size recommendations.
- Keep manual user decision points explicit.
### Venue And Regulatory BoundaryView the complete source on GitHubprisma-patterns
When your agent uses it
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
What it loads into context
Frontmatter
169 tokensAlways available to the agent
SKILL.md
3,738 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Activate
- Core Concepts
- Code Examples
- Anti-Patterns
- Best Practices
- Related Skills
Files
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# Prisma Patterns
Production patterns and non-obvious traps for Prisma ORM in TypeScript backends.
> **Check your version before applying patterns.** The Prisma API surface has evolved across major releases:
>
> ```bash
> npx prisma --version
> ```
>
> Notable API differences across versions:
> - `relationJoins` can load relations via JOIN rather than separate queries, but may cause row explosion on large 1:N relations or deep `include` — benchmark both approaches
> - `omit` field modifier and `prisma.$extends` Client Extensions API were added
> - **Newer installs**: the package may be named `prisma` instead of `@prisma/client`; `PrismaClient` may require a driver adapter (e.g. `@prisma/adapter-pg`); `datasource.url` may live in `prisma.config.ts` instead of `schema.prisma`
> - CLI commands (`migrate dev`, `migrate deploy`, `generate`) are unchanged across versionsView the complete source on GitHubproduct-capability
When your agent uses it
Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service work starts. Use when the user needs an ECC-native PRD-to-SRS lane instead of vague planning prose.
What it loads into context
Frontmatter
157 tokensAlways available to the agent
SKILL.md
997 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Canonical Artifact
- Non-Negotiable Rules
- Inputs
- Core Workflow
- Output Format
- Good Outcomes
Files
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# Product Capability
This skill turns product intent into explicit engineering constraints.
Use it when the gap is not "what should we build?" but "what exactly must be true before implementation starts?"
## When to Use
- A PRD, roadmap item, discussion, or founder note exists, but the implementation constraints are still implicit
- A feature crosses multiple services, repos, or teams and needs a capability contract before coding
- Product intent is clear, but architecture, data, lifecycle, or policy implications are still fuzzy
- Senior engineers keep restating the same hidden assumptions during review
- You need a reusable artifact that can survive across harnesses and sessions
## Canonical ArtifactView the complete source on GitHubproduct-lens
When your agent uses it
Use this skill to validate the "why" before building, run product diagnostics, and pressure-test product direction before the request becomes an implementation contract.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
823 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- How It Works
- Output
- Integration
Files
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# Product Lens — Think Before You Build
This lane owns product diagnosis, not implementation-ready specification writing.
If the user needs a durable PRD-to-SRS or capability-contract artifact, hand off to `product-capability`.
## When to Use
- Before starting any feature — validate the "why"
- Weekly product review — are we building the right thing?
- When stuck choosing between features
- Before a launch — sanity check the user journey
- When converting a vague idea into a product brief before engineering planning starts
## How It WorksView the complete source on GitHubproduct-manager-toolkit
When your agent uses it
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
What it loads into context
Frontmatter
142 tokensAlways available to the agent
SKILL.md
4,099 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Core Workflows
- Key Scripts
- Reference Documents
- Prioritization Frameworks
- Discovery Frameworks
- Metrics & Analytics
- Best Practices
- Common Pitfalls to Avoid
- Integration Points
- Quick Commands Cheat Sheet
- 与智能体协作框架集成
Files
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# Product Manager Toolkit
Essential tools and frameworks for modern product management, from discovery to delivery.
## Quick Start
### For Feature Prioritization
```bash
python scripts/rice_prioritizer.py sample # Create sample CSV
python scripts/rice_prioritizer.py sample_features.csv --capacity 15
```
### For Interview Analysis
```bash
python scripts/customer_interview_analyzer.py interview_transcript.txtView the complete source on GitHubproduct-marketing-copywriter
When your agent uses it
产品营销文案创作技能,支持多品类产品的吸引性营销文案生成,适用于产品推广、品牌营销、销售转化
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
5,455 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
- 质量标准
- 智能体提示词
Files
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# 产品营销文案创作技能
## 任务目标
- 本技能用于:为各类产品创作具有吸引力的营销文案,激发用户购买欲望,提升转化率
- 能力包含:
1. 文案生成:根据产品信息、目标受众、独特卖点生成符合营销规范的文案
2. 文案优化:优化已有文案的标题、正文、情感表达、行动号召,提升吸引力和转化率
- 触发条件:用户提出产品营销文案创作需求、文案优化需求,或需要为产品生成营销推广文案时
## 前置准备
- 无需特殊依赖包
- 无需非标准文件/文件夹
## 操作步骤
View the complete source on GitHubproduct-video-creator
When your agent uses it
多智能体协同的商品视频创作流水线,支持从商品信息到成视频的全流程创作:文案生成、故事策划、脚本创作、分镜设计、图片生成、字幕创作、音效推荐及视频合成;适用于电商商品宣传、品牌推广、社交媒体营销等场景
What it loads into context
Frontmatter
213 tokensAlways available to the agent
SKILL.md
2,849 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 任务目标
- 前置准备
- 操作步骤
- 资源索引
- 注意事项
- 使用示例
Files
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# 商品视频创作多智能体协同系统
## 任务目标
- 本 Skill 用于:将商品信息和需求转化为完整的商品宣传视频
- 能力包含:
- 文案创作:分析商品卖点,生成吸引人的核心文案
- 故事策划:设计贴合商品的场景故事线
- 脚本创作:将故事转化为可执行的分镜脚本
- 分镜设计:规划每个镜头的画面描述、时长、转场
- 图片生成:为分镜生成符合描述的场景图片
- 字幕创作:为每个镜头创作精炼的字幕文本
- 音效推荐:推荐背景音乐和音效方案
- 视频合成:将所有素材合成为最终MP4视频
- 触发条件:用户提供商品信息(名称、卖点、图片等)和视频需求(时长、风格、目标受众)
View the complete source on GitHubproduction-audit
When your agent uses it
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service.
What it loads into context
Frontmatter
144 tokensAlways available to the agent
SKILL.md
1,759 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- When Not to Use
- How It Works
- Evidence Checklist
- Risk Lenses
- Scoring
- Output Format
- Example
- Anti-Patterns
- See Also
Files
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# Production Audit
Use this skill when the user asks whether an application is ready to ship, what
could break in production, or what must be fixed before a launch. This is a
maintainer-safe rewrite of the stale community production-audit idea: it keeps
the useful production-readiness lens and removes unpinned external execution and
third-party data sharing.
## When to Use
- The user asks "is this production-ready", "what would break in prod", "what
did we miss", "audit this repo", or "ready to ship?"
- A feature was merged and needs a pre-deploy or post-merge risk pass.
- A public launch, demo, customer rollout, or investor walkthrough is close.
- CI is green but the user wants production risk, not only test status.View the complete source on GitHubproduction-scheduling
When your agent uses it
Codified expertise for production scheduling, job sequencing, line balancing, changeover optimization, and bottleneck resolution in discrete and batch manufacturing. Informed by production schedulers with 15+ years experience. Includes TOC/drum-buffer-rope, SMED, OEE analysis, disruption response frameworks, and ERP/MES interaction patterns. Use when scheduling production, resolving bottlenecks, optimizing changeovers, responding to disruptions, or balancing manufacturing lines.
What it loads into context
Frontmatter
197 tokensAlways available to the agent
SKILL.md
5,832 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Role and Context
- When to Use
- How It Works
- Examples
- Core Knowledge
- Decision Frameworks
- Key Edge Cases
- Communication Patterns
- Escalation Protocols
- Performance Indicators
- Additional Resources
Files
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# Production Scheduling
## Role and Context
You are a senior production scheduler at a discrete and batch manufacturing facility operating 3–8 production lines with 50–300 direct-labor headcount per shift. You manage job sequencing, line balancing, changeover optimization, and disruption response across work centers that include machining, assembly, finishing, and packaging. Your systems include an ERP (SAP PP, Oracle Manufacturing, or Epicor), a finite-capacity scheduling tool (Preactor, PlanetTogether, or Opcenter APS), an MES for shop floor execution and real-time reporting, and a CMMS for maintenance coordination. You sit between production management (which owns output targets and headcount), planning (which releases work orders from MRP), quality (which gates product release), and maintenance (which owns equipment availability). Your job is to translate a set of work orders with due dates, routings, and BOMs into a minute-by-minute execution sequence that maximizes throughput at the constraint while meeting customer delivery commitments, labor rules, and quality requirements.
## When to Use
- Production orders compete for constrained work centers
- Disruptions (breakdown, shortage, absenteeism) require rapid re-sequencing
- Changeover and campaign trade-offs need explicit economic decisions
- New work orders need to be slotted into an existing schedule without destabilizing committed jobs
- Shift-level bottleneck changes require drum reassignment
## How It WorksView the complete source on GitHubSkills included
- accessibility
- agent-architecture-audit
- agent-eval
- agent-harness-construction
- agent-introspection-debugging
- agent-payment-x402
- agent-self-evaluation
- agent-sort
- agent-team
- agentic-engineering
- agentic-os
- agentkit-multimedia-shopping
- ai-first-engineering
- ai-regression-testing
- algorithmic-art
- android-clean-architecture
- angular-developer
- anthropic-algorithmic-art
- anthropic-brand-guidelines
- anthropic-canvas-design
- anthropic-claude-api
- anthropic-doc-coauthoring
- anthropic-docx
- anthropic-frontend-design
- anthropic-internal-comms
- anthropic-mcp-builder
- anthropic-pdf
- anthropic-pptx
- anthropic-skill-creator
- anthropic-slack-gif-creator
- anthropic-theme-factory
- anthropic-web-artifacts-builder
- anthropic-webapp-testing
- anthropic-xlsx
- api-connector-builder
- api-design
- architecture-decision-records
- article-illustrator
- article-illustrator
- article-writing
- ask-matt
- automation-audit-ops
- autonomous-agent-harness
- autonomous-loops
- backend-patterns
- baoyu-format-markdown
- baoyu-post-to-wechat
- baoyu-post-to-x
- baoyu-url-to-markdown
- bedtime-story
- benchmark
- benchmark-methodology
- benchmark-optimization-loop
- blender-motion-state-inspection
- blueprint
- brainstorming
- brand-discovery
- brand-guidelines
- brand-voice
- browser-qa
- bun-runtime
- canary-watch
- canvas-design
- carrier-relationship-management
- chrome-automation
- cisco-ios-patterns
- ck
- claude-api
- claude-devfleet
- claude-handoff
- click-path-audit
- clickhouse-io
- code-review
- code-tour
- codebase-design
- codebase-onboarding
- codehealth-mcp
- coding-standards
- competitive-platform-analysis
- competitive-report-structure
- compose-multiplatform-patterns
- config-gc
- configure-ecc
- connections-optimizer
- content-creation-publisher
- content-engine
- content-hash-cache-pattern
- content-research-writer
- context-budget
- continuous-agent-loop
- continuous-learning
- continuous-learning-v2
- contract-review
- cost-aware-llm-pipeline
- cost-tracking
- council
- cpp-coding-standards
- cpp-testing
- crosspost
- csharp-testing
- customer-billing-ops
- customs-trade-compliance
- dart-flutter-patterns
- dashboard-builder
- data-scraper-agent
- data-storytelling
- data-throughput-accelerator
- database-migrations
- deep-research
- defi-amm-security
- delivery-gate
- deployment-patterns
- design-system
- diagnosing-bugs
- digital-avatar-shopping-video
- dispatching-parallel-agents
- django-celery
- django-patterns
- django-security
- django-tdd
- django-verification
- dmux-workflows
- doc-coauthoring
- docker-patterns
- documentation-lookup
- docx
- domain-modeling
- dotnet-patterns
- dream-video-prompt-generator
- dynamic-workflow-mode
- e2e-testing
- ecc-guide
- ecc-recipes
- ecc-tools-cost-audit
- ecommerce-copywriter
- ecommerce-video-marketing
- edit-article
- email-ops
- energy-procurement
- enterprise-agent-ops
- error-handling
- eval-harness
- evm-token-decimals
- exa-search
- executing-plans
- fal-ai-media
- fastapi-patterns
- finance-billing-ops
- finishing-a-development-branch
- flox-environments
- flutter-dart-code-review
- foundation-models-on-device
- frontend-a11y
- frontend-design
- frontend-design-direction
- frontend-patterns
- frontend-slides
- fsharp-testing
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Showing 300 of 427 skills. See GitHub for the complete repository.
Repository facts
- License
- MIT
- Created
- Jun 4, 2026
- Last pushed
- Jul 29, 2026
- Forks
- 42
- Open issues
- 5
- Project activity
- Slowing
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Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 1,658 notes
auc/skill_library/bundled/agent-architecture-audit/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-eval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-eval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-eval/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-introspection-debugging/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-sort/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-sort/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agent-sort/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agentic-os/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/agentic-os/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/angular-developer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-claude-api/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedauc/skill_library/bundled/anthropic-docx/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 55 dangerous shell commandsin 19 files: homelab-wireguard-vpn/SKILL.md:67 homelab-pihole-dns/SKILL.md:104 chrome-automation/SKILL.md:219 and 16 more
- 2,184 network referencesin 427 files: moltbook/SKILL.md:13 accessibility/SKILL.md:19 nutrient-document-processing/SKILL.md:18 and 424 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- 310 references to secretsin 71 files: moltbook/SKILL.md:65 nutrient-document-processing/SKILL.md:36 x-api/SKILL.md:53 and 68 more
- No requests to vote in Hot
Show all 2,549 signals by file
auc/skill_library/bundled/accessibility/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md division: design - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md division: design - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md division: design - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/accessibility/SKILL.md - Network accessline 155
- [WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/) - Network accessline 155
- [WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/) - Network accessline 155
- [WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/) - Network accessline 155
- [WCAG 2.2 Guidelines](https://www.w3.org/TR/WCAG22/) - Network accessline 156
- [WAI-ARIA Authoring Practices](https://www.w3.org/TR/wai-aria-practices/) - Network accessline 156
- [WAI-ARIA Authoring Practices](https://www.w3.org/TR/wai-aria-practices/) - Network accessline 156
- [WAI-ARIA Authoring Practices](https://www.w3.org/TR/wai-aria-practices/) - Network accessline 156
- [WAI-ARIA Authoring Practices](https://www.w3.org/TR/wai-aria-practices/) - Network accessline 157
- [iOS Accessibility Programming Guide](https://developer.apple.com/documentation/accessibility) - Network accessline 157
- [iOS Accessibility Programming Guide](https://developer.apple.com/documentation/accessibility) - Network accessline 157
- [iOS Accessibility Programming Guide](https://developer.apple.com/documentation/accessibility) - Network accessline 157
- [iOS Accessibility Programming Guide](https://developer.apple.com/documentation/accessibility) - Network accessline 158
- [iOS Human Interface Guidelines - Accessibility](https://developer.apple.com/design/human-interface-guidelines/accessibility) - Network accessline 158
- [iOS Human Interface Guidelines - Accessibility](https://developer.apple.com/design/human-interface-guidelines/accessibility) - Network accessline 158
- [iOS Human Interface Guidelines - Accessibility](https://developer.apple.com/design/human-interface-guidelines/accessibility) - Network accessline 158
- [iOS Human Interface Guidelines - Accessibility](https://developer.apple.com/design/human-interface-guidelines/accessibility) - Network accessline 159
- [Android Accessibility Developer Guide](https://developer.android.com/guide/topics/ui/accessibility) - Network accessline 159
- [Android Accessibility Developer Guide](https://developer.android.com/guide/topics/ui/accessibility) - Network accessline 159
- [Android Accessibility Developer Guide](https://developer.android.com/guide/topics/ui/accessibility) - Network accessline 159
- [Android Accessibility Developer Guide](https://developer.android.com/guide/topics/ui/accessibility)
auc/skill_library/bundled/agent-architecture-audit/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-architecture-audit/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-architecture-audit/SKILL.md division: engineering - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-architecture-audit/SKILL.md
auc/skill_library/bundled/agent-eval/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-eval/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-eval/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-eval/SKILL.md - Network accessline 164
- Repository: [github.com/joaquinhuigomez/agent-eval](https://github.com/joaquinhuigomez/agent-eval)
auc/skill_library/bundled/agent-harness-construction/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-harness-construction/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-harness-construction/SKILL.md division: specialized - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-harness-construction/SKILL.md
auc/skill_library/bundled/agent-introspection-debugging/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-introspection-debugging/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-introspection-debugging/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-introspection-debugging/SKILL.md
auc/skill_library/bundled/agent-payment-x402/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-payment-x402/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-payment-x402/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-payment-x402/SKILL.md - Network accessline 113
| Runtime | Current guide | |---------|---------------| | TypeScript | `https://raw.githubusercontent.com/okx/payments/main/typescript/SELLER.md` | - Network accessline 114
|---------|---------------| | TypeScript | `https://raw.githubusercontent.com/okx/payments/main/typescript/SELLER.md` | | Go | `https://raw.githubusercontent.com/okx/payments/main/go/x402/SELLER.md` | - Network accessline 115
| TypeScript | `https://raw.githubusercontent.com/okx/payments/main/typescript/SELLER.md` | - Network accessline 116
| Go | `https://raw.githubusercontent.com/okx/payments/main/go/x402/SELLER.md` | - Network accessline 117
| Rust | `https://raw.githubusercontent.com/okx/payments/main/rust/x402/SELLER.md` | - Network accessline 118
| Java | `https://raw.githubusercontent.com/okx/payments/main/java/SELLER.md` | - Access to secretsline 137
[Credential-related source omitted] - Network accessline 240
- **npm**: [`agentwallet-sdk`](https://www.npmjs.com/package/agentwallet-sdk) - Network accessline 241
- **Merged into NVIDIA NeMo Agent Toolkit**: [PR #17](https://github.com/NVIDIA/NeMo-Agent-Toolkit-Examples/pull/17) — x402 payment tool for NVIDIA's agent examples - Network accessline 242
- **Protocol spec**: [x402.org](https://x402.org) - Network accessline 243
- **OKX Payments SDKs**: [`okx/payments`](https://github.com/okx/payments) — TypeScript, Go, Rust, and Java seller integrations for X Layer x402 - Network accessline 244
- **OKX Agent Payments Protocol skill**: [`okx/onchainos-skills`](https://github.com/okx/onchainos-skills/tree/main/skills/okx-agent-payments-protocol) - Network accessline 245
- **OKX Payments overview**: [web3.okx.com/onchainos/dev-docs/payments/overview](https://web3.okx.com/onchainos/dev-docs/payments/overview)
auc/skill_library/bundled/agent-self-evaluation/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-self-evaluation/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-self-evaluation/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-self-evaluation/SKILL.md
auc/skill_library/bundled/agent-sort/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-sort/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-sort/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agent-sort/SKILL.md
auc/skill_library/bundled/agent-team/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/agent-team/agent-team/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/agent-team/agent-team/SKILL.md division: engineering - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/agent-team/agent-team/SKILL.md
auc/skill_library/bundled/agentic-engineering/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-engineering/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-engineering/SKILL.md division: engineering - Network accessline 19
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-engineering/SKILL.md
auc/skill_library/bundled/agentic-os/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-os/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-os/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/agentic-os/SKILL.md - Access to secretsline 378
[Credential-related source omitted]
auc/skill_library/bundled/agentkit-multimedia-shopping/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/agentkit-multimedia-shopping/agentkit-multimedia-shopping/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/agentkit-multimedia-shopping/agentkit-multimedia-shopping/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/agentkit-multimedia-shopping/agentkit-multimedia-shopping/SKILL.md
auc/skill_library/bundled/ai-first-engineering/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-first-engineering/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-first-engineering/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-first-engineering/SKILL.md
auc/skill_library/bundled/ai-regression-testing/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-regression-testing/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-regression-testing/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ai-regression-testing/SKILL.md - Access to secretsline 99
[Credential-related source omitted] - Network accessline 116
): NextRequest { const { method = "GET", body, headers = {}, sandboxUserId } = options || {}; const fullUrl = url.startsWith("http") ? url : `http://localhost:3000${url}`; - Network accessline 117
const { method = "GET", body, headers = {}, sandboxUserId } = options || {}; const fullUrl = url.startsWith("http") ? url : `http://localhost:3000${url}`; const reqHeaders: Record<string, string> = { ...headers }; - Network accessline 118
const fullUrl = url.startsWith("http") ? url : `http://localhost:3000${url}`; - Network accessline 344
const handleRemove = async (id: string) => { setItems(prev => prev.filter(i => i.id !== id)); await fetch(`/api/items/${id}`, { method: "DELETE" }); - Network accessline 345
setItems(prev => prev.filter(i => i.id !== id)); await fetch(`/api/items/${id}`, { method: "DELETE" }); // If API fails, item is gone from UI but still in DB - Network accessline 346
await fetch(`/api/items/${id}`, { method: "DELETE" }); - Network accessline 353
setItems(prev => prev.filter(i => i.id !== id)); try { const res = await fetch(`/api/items/${id}`, { method: "DELETE" }); - Network accessline 354
try { const res = await fetch(`/api/items/${id}`, { method: "DELETE" }); if (!res.ok) throw new Error("API error"); - Network accessline 355
const res = await fetch(`/api/items/${id}`, { method: "DELETE" });
auc/skill_library/bundled/algorithmic-art/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md - Network accessline 301
<head> <!-- p5.js from CDN - always available --> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script> - Network accessline 302
<!-- p5.js from CDN - always available --> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script> <style> - Network accessline 303
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script>
auc/skill_library/bundled/android-clean-architecture/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/android-clean-architecture/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/android-clean-architecture/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/android-clean-architecture/SKILL.md - Network accessline 246
install(ContentNegotiation) { json(Json { ignoreUnknownKeys = true }) } install(Logging) { level = LogLevel.HEADERS } defaultRequest { url("https://api.example.com/") } - Network accessline 247
install(Logging) { level = LogLevel.HEADERS } defaultRequest { url("https://api.example.com/") } } - Network accessline 248
defaultRequest { url("https://api.example.com/") }
auc/skill_library/bundled/angular-developer/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md division: design - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/angular-developer/SKILL.md - Network accessline 84
If you require deeper documentation not found in the references above, read the documentation at `https://angular.dev/guide/components`. - Network accessline 84
If you require deeper documentation not found in the references above, read the documentation at `https://angular.dev/guide/components`. - Network accessline 136
If you require deeper documentation or more context, visit the [official Angular Routing guide](https://angular.dev/guide/routing). - Network accessline 136
If you require deeper documentation or more context, visit the [official Angular Routing guide](https://angular.dev/guide/routing).
auc/skill_library/bundled/anthropic-algorithmic-art/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/algorithmic-art/SKILL.md - Network accessline 301
<head> <!-- p5.js from CDN - always available --> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script> - Network accessline 302
<!-- p5.js from CDN - always available --> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script> <style> - Network accessline 303
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js"></script>
auc/skill_library/bundled/anthropic-brand-guidelines/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md
auc/skill_library/bundled/anthropic-canvas-design/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md
auc/skill_library/bundled/anthropic-claude-api/SKILL.md
- Network accessline 30
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md - Network accessline 31
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md division: engineering - Network accessline 32
source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md - Network accessline 52
1. **The official Anthropic SDK** for the project's language (`anthropic`, `@anthropic-ai/sdk`, `com.anthropic.*`, etc.). This is the default whenever a supported SDK exists for the project. 2. **Raw HTTP** (`curl`, `requests`, `fetch`, `ht - Network accessline 53
2. **Raw HTTP** (`curl`, `requests`, `fetch`, `httpx`, etc.) — only when the user explicitly asks for cURL/REST/raw HTTP, the project is a shell/cURL project, or the language has no official SDK. - Network accessline 57
**Never guess SDK usage.** Function names, class names, namespaces, method signatures, and import paths must come from explicit documentation — either the `{lang}/` files in this skill or the official SDK repositories or documentation links - Network accessline 134
| C# | Yes (beta) | Yes (beta) | `BetaToolRunner` + raw JSON schema | | PHP | Yes (beta) | Yes (beta) | `BetaRunnableTool` + `toolRunner()` | | cURL | N/A | Yes (beta) | Raw HTTP, no SDK featu - Network accessline 136
| cURL | N/A | Yes (beta) | Raw HTTP, no SDK features | - Network accessline 138
> **Managed Agents code examples**: dedicated language-specific READMEs are provided for Python, TypeScript, Go, Ruby, PHP, Java, and cURL (`{lang}/managed-agents/README.md`, `curl/managed-agents.md`). Read your language's README plus the l - Access to secretsline 251
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- **SDK code or `ant` CLI:** just run it. The zero-arg client constructor and every `ant …` subcommand pick up the profile automatically — no env var needed. - **Raw `curl` / HTTP:** get a short-lived token with `ant auth print-credentials - Network accessline 256
[Credential-related source omitted] - Access to secretsline 258
[Credential-related source omitted] - Network accessline 322
| C# | `Betas = ["fast-mode-2026-02-01"]` | `Speed = Speed.Fast` (`Anthropic.Models.Beta.Messages`) | | PHP | `betas: ['fast-mode-2026-02-01']` | `speed: 'fast'` | | cURL | `anthropic-beta: fast-mode-2026-02-01` header | `"speed": "fast"` i - Network accessline 324
| cURL | `anthropic-beta: fast-mode-2026-02-01` header | `"speed": "fast"` in body | - Access to secretsline 374
[Credential-related source omitted] - Access to secretsline 491
[Credential-related source omitted] - Network accessline 499
**All SDK languages use the same multi-file layout** — directory `{lang}/claude-api/` containing `README.md` (install, client init, basic request, thinking, caching, stop details, misc), `tool-use.md` (tool definitions, agentic loop, Anthro - Access to secretsline 571
[Credential-related source omitted] - Access to secretsline 608
[Credential-related source omitted]
auc/skill_library/bundled/anthropic-doc-coauthoring/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md division: specialized - Network accessline 24
source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md - Network accessline 327
Provide testing instructions: 1. Open a fresh Claude conversation: https://claude.ai - Network accessline 328
1. Open a fresh Claude conversation: https://claude.ai
auc/skill_library/bundled/anthropic-docx/SKILL.md
- Network accessline 26
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md - Network accessline 27
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md division: specialized - Network accessline 28
source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md - Network accessline 280
children: [new ExternalHyperlink({ children: [new TextRun({ text: "Click here", style: "Hyperlink" })], link: "https://example.com", - Network accessline 281
children: [new TextRun({ text: "Click here", style: "Hyperlink" })], link: "https://example.com", })] - Network accessline 282
link: "https://example.com",
auc/skill_library/bundled/anthropic-frontend-design/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/frontend-design/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/frontend-design/SKILL.md division: design - Network accessline 21
source_url: https://github.com/anthropics/skills/blob/main/skills/frontend-design/SKILL.md
auc/skill_library/bundled/anthropic-internal-comms/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md division: marketing - Network accessline 23
source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md
auc/skill_library/bundled/anthropic-mcp-builder/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md - Network accessline 64
Start with the sitemap to find relevant pages: `https://modelcontextprotocol.io/sitemap.xml` - Network accessline 66
Then fetch specific pages with `.md` suffix for markdown format (e.g., `https://modelcontextprotocol.io/specification/draft.md`). - Network accessline 83
**For TypeScript (recommended):** - **TypeScript SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md` - Network accessline 84
- **TypeScript SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md` - Network accessline 87
**For Python:** - **Python SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 88
- **Python SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 225
### Core MCP Documentation (Load First) - **MCP Protocol**: Start with sitemap at `https://modelcontextprotocol.io/sitemap.xml`, then fetch specific pages with `.md` suffix - Network accessline 226
- **MCP Protocol**: Start with sitemap at `https://modelcontextprotocol.io/sitemap.xml`, then fetch specific pages with `.md` suffix - Network accessline 234
### SDK Documentation (Load During Phase 1/2) - **Python SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 235
- **Python SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 236
- **TypeScript SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md`
auc/skill_library/bundled/anthropic-pdf/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md division: specialized - Network accessline 24
source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md
auc/skill_library/bundled/anthropic-pptx/SKILL.md
- Network accessline 25
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md - Network accessline 26
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md division: specialized - Network accessline 27
source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md
auc/skill_library/bundled/anthropic-skill-creator/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md
auc/skill_library/bundled/anthropic-slack-gif-creator/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md
auc/skill_library/bundled/anthropic-theme-factory/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md
auc/skill_library/bundled/anthropic-web-artifacts-builder/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md - Network accessline 96
- **shadcn/ui components**: https://ui.shadcn.com/docs/components
auc/skill_library/bundled/anthropic-webapp-testing/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md - Network accessline 78
browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode page = browser.new_page() page.goto('http://localhost:5173') # Server already running and ready - Network accessline 79
page = browser.new_page() page.goto('http://localhost:5173') # Server already running and ready page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute - Network accessline 80
page.goto('http://localhost:5173') # Server already running and ready
auc/skill_library/bundled/anthropic-xlsx/SKILL.md
- Network accessline 28
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md - Network accessline 29
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md division: specialized - Network accessline 30
source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md
auc/skill_library/bundled/api-connector-builder/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-connector-builder/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-connector-builder/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-connector-builder/SKILL.md
auc/skill_library/bundled/api-design/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-design/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-design/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/api-design/SKILL.md
auc/skill_library/bundled/architecture-decision-records/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/architecture-decision-records/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/architecture-decision-records/SKILL.md division: product - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/architecture-decision-records/SKILL.md
auc/skill_library/bundled/article-illustrator-article-illustrator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/article-illustrator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/article-illustrator/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/article-illustrator/SKILL.md
auc/skill_library/bundled/article-illustrator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md - Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md division: design - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md division: design - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/article-illustrator/article-illustrator/SKILL.md
auc/skill_library/bundled/article-writing/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/article-writing/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/article-writing/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/article-writing/SKILL.md
auc/skill_library/bundled/ask-matt/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/ask-matt/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/ask-matt/SKILL.md division: engineering - Network accessline 18
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/ask-matt/SKILL.md - Network accessline 48
The limit on this is the **[smart zone](https://www.aihero.dev/ai-coding-dictionary/smart-zone)**: the window (~120k tokens on state-of-the-art models) within which the model still reasons sharply. If a session approaches it before `/to-tic
auc/skill_library/bundled/automation-audit-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/automation-audit-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/automation-audit-ops/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/automation-audit-ops/SKILL.md
auc/skill_library/bundled/autonomous-agent-harness/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-agent-harness/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-agent-harness/SKILL.md division: engineering - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-agent-harness/SKILL.md - Network accessline 144
# Trigger from CI/CD curl -X POST "https://api.anthropic.com/dispatch" \ - Network accessline 145
[Credential-related source omitted] - Access to secretsline 145
[Credential-related source omitted] - Access to secretsline 146
[Credential-related source omitted]
auc/skill_library/bundled/autonomous-loops/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-loops/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-loops/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/autonomous-loops/SKILL.md - Dangerous shell operationline 115
rm .claude-context.md
auc/skill_library/bundled/backend-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/backend-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/backend-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/backend-patterns/SKILL.md - Access to secretsline 382
[Credential-related source omitted]
auc/skill_library/bundled/baoyu-format-markdown/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-format-markdown/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-format-markdown/SKILL.md division: marketing - Network accessline 19
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-format-markdown/SKILL.md
auc/skill_library/bundled/baoyu-post-to-wechat/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-wechat/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-wechat/SKILL.md division: marketing - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-wechat/SKILL.md - Network accessline 183
Suggested installation: https://github.com/JimLiu/baoyu-skills/blob/main/skills/baoyu-markdown-to-html/SKILL.md - Network accessline 184
https://github.com/JimLiu/baoyu-skills/blob/main/skills/baoyu-markdown-to-html/SKILL.md - Access to secretsline 245
[Credential-related source omitted] - Access to secretsline 248
[Credential-related source omitted] - Network accessline 256
To obtain credentials: 1. Visit https://mp.weixin.qq.com - Network accessline 257
1. Visit https://mp.weixin.qq.com - Access to secretsline 262
[Credential-related source omitted] - Access to secretsline 263
[Credential-related source omitted] - Network accessline 281
[Credential-related source omitted] - Network accessline 282
[Credential-related source omitted] - Access to secretsline 282
[Credential-related source omitted] - Network accessline 319
Next Steps: → Manage drafts: https://mp.weixin.qq.com (登录后进入「内容管理」→「草稿箱」) - Network accessline 320
→ Manage drafts: https://mp.weixin.qq.com (登录后进入「内容管理」→「草稿箱」)
auc/skill_library/bundled/baoyu-post-to-x/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-x/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-x/SKILL.md division: marketing - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-post-to-x/SKILL.md - Network accessline 138
npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "Great insight!" # Preview - Network accessline 139
npx -y bun ${SKILL_DIR}/scripts/x-quote.ts https://x.com/user/status/123 "I agree!" --submit # Post
auc/skill_library/bundled/baoyu-url-to-markdown/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-url-to-markdown/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-url-to-markdown/SKILL.md division: marketing - Network accessline 19
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/baoyu-url-to-markdown/SKILL.md
auc/skill_library/bundled/bedtime-story/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/bedtime-story/bedtime-story/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/bedtime-story/bedtime-story/SKILL.md division: education - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/bedtime-story/bedtime-story/SKILL.md
auc/skill_library/bundled/benchmark-methodology/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-methodology/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-methodology/SKILL.md division: testing - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-methodology/SKILL.md
auc/skill_library/bundled/benchmark-optimization-loop/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-optimization-loop/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-optimization-loop/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark-optimization-loop/SKILL.md
auc/skill_library/bundled/benchmark/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/benchmark/SKILL.md
auc/skill_library/bundled/blender-motion-state-inspection/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/blender-motion-state-inspection/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/blender-motion-state-inspection/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/blender-motion-state-inspection/SKILL.md
auc/skill_library/bundled/blueprint/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/blueprint/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/blueprint/SKILL.md division: engineering - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/blueprint/SKILL.md
auc/skill_library/bundled/brainstorming/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/brainstorming/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/brainstorming/SKILL.md division: product - Network accessline 21
source_url: https://github.com/obra/superpowers/blob/main/skills/brainstorming/SKILL.md
auc/skill_library/bundled/brand-discovery/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-discovery/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-discovery/SKILL.md division: marketing - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-discovery/SKILL.md
auc/skill_library/bundled/brand-guidelines/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/brand-guidelines/SKILL.md
auc/skill_library/bundled/brand-voice/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-voice/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-voice/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/brand-voice/SKILL.md
auc/skill_library/bundled/browser-qa/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/browser-qa/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/browser-qa/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/browser-qa/SKILL.md
auc/skill_library/bundled/bun-runtime/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/bun-runtime/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/bun-runtime/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/bun-runtime/SKILL.md - Network accessline 92
Bun.serve({ port: 3000, fetch(req) { - Network accessline 93
port: 3000, fetch(req) { return new Response("Hello"); - Network accessline 94
fetch(req) {
auc/skill_library/bundled/canary-watch/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/canary-watch/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/canary-watch/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/canary-watch/SKILL.md - Network accessline 60
/canary-watch https://myapp.com - Network accessline 65
/canary-watch https://myapp.com --interval 5m --duration 2h - Network accessline 70
/canary-watch --compare https://staging.myapp.com https://myapp.com
auc/skill_library/bundled/canvas-design/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/canvas-design/SKILL.md
auc/skill_library/bundled/carrier-relationship-management/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/carrier-relationship-management/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/carrier-relationship-management/SKILL.md division: marketing - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/carrier-relationship-management/SKILL.md
auc/skill_library/bundled/chrome-automation/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/chrome-automation/chrome-automation/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/chrome-automation/chrome-automation/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/anbeime/skill/blob/main/skills/chrome-automation/chrome-automation/SKILL.md - Network accessline 133
# Navigate AGENT_BROWSER_HOME=$AB_HOME ./bin/agent-browser --cdp 9222 open https://example.com - Network accessline 134
AGENT_BROWSER_HOME=$AB_HOME ./bin/agent-browser --cdp 9222 open https://example.com - Network accessline 197
**Requirements:** - Node.js (will notify if missing - download from https://nodejs.org/) - Network accessline 198
- Node.js (will notify if missing - download from https://nodejs.org/) - Network accessline 209
# 1. Clone repository cd ~/Documents git clone https://github.com/vercel-labs/agent-browser.git - Network accessline 210
cd ~/Documents git clone https://github.com/vercel-labs/agent-browser.git cd agent-browser - Network accessline 211
git clone https://github.com/vercel-labs/agent-browser.git - Network accessline 218
# 3. Install Rust (if not installed) curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Dangerous shell operationline 219
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Network accessline 219
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Network accessline 230
# 1. Clone repository Set-Location "$HOME\Documents" git clone https://github.com/vercel-labs/agent-browser.git - Network accessline 231
Set-Location "$HOME\Documents" git clone https://github.com/vercel-labs/agent-browser.git Set-Location agent-browser - Network accessline 232
git clone https://github.com/vercel-labs/agent-browser.git - Network accessline 239
# 3. Install Rust (if not installed) # Download from: https://win.rustup.rs/x86_64 - Network accessline 240
# Download from: https://win.rustup.rs/x86_64 - Network accessline 330
# Run PowerShell as Administrator, then: # Download and run Rust installer Invoke-WebRequest -Uri "https://win.rustup.rs/x86_64" -OutFile "$env:TEMP\rustup-init.exe" - Network accessline 331
# Download and run Rust installer Invoke-WebRequest -Uri "https://win.rustup.rs/x86_64" -OutFile "$env:TEMP\rustup-init.exe" & "$env:TEMP\rustup-init.exe" -y - Network accessline 332
Invoke-WebRequest -Uri "https://win.rustup.rs/x86_64" -OutFile "$env:TEMP\rustup-init.exe" - Network accessline 471
# Navigate AGENT_BROWSER_HOME=$AB_HOME ./bin/agent-browser --cdp 9222 open https://example.com/form - Network accessline 472
AGENT_BROWSER_HOME=$AB_HOME ./bin/agent-browser --cdp 9222 open https://example.com/form - Dangerous shell operationline 557
- `eval "code"` - Execute JavaScript - Network accessline 574
# Or manually: # Mac: # 1. Install Rust: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Network accessline 575
# Mac: # 1. Install Rust: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y # 2. Set toolchain: ~/.cargo/bin/rustup default stable - Dangerous shell operationline 576
# 1. Install Rust: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Network accessline 576
# 1. Install Rust: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y - Network accessline 581
# Windows: # 1. Download Rust: https://win.rustup.rs/x86_64 - Network accessline 582
# 1. Download Rust: https://win.rustup.rs/x86_64 - Network accessline 633
# Chrome needs at least one page open osascript -e 'tell application "Google Chrome" to open location "https://google.com"' - Network accessline 634
osascript -e 'tell application "Google Chrome" to open location "https://google.com"' - Dangerous shell operationline 675
rm -rf ~/Library/Application\ Support/Google/Chrome-Automation
auc/skill_library/bundled/cisco-ios-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cisco-ios-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cisco-ios-patterns/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/cisco-ios-patterns/SKILL.md
auc/skill_library/bundled/ck/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ck/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ck/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ck/SKILL.md
auc/skill_library/bundled/claude-api/SKILL.md
- Network accessline 30
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md - Network accessline 31
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md division: engineering - Network accessline 32
source_url: https://github.com/anthropics/skills/blob/main/skills/claude-api/SKILL.md - Network accessline 52
1. **The official Anthropic SDK** for the project's language (`anthropic`, `@anthropic-ai/sdk`, `com.anthropic.*`, etc.). This is the default whenever a supported SDK exists for the project. 2. **Raw HTTP** (`curl`, `requests`, `fetch`, `ht - Network accessline 53
2. **Raw HTTP** (`curl`, `requests`, `fetch`, `httpx`, etc.) — only when the user explicitly asks for cURL/REST/raw HTTP, the project is a shell/cURL project, or the language has no official SDK. - Network accessline 57
**Never guess SDK usage.** Function names, class names, namespaces, method signatures, and import paths must come from explicit documentation — either the `{lang}/` files in this skill or the official SDK repositories or documentation links - Network accessline 134
| C# | Yes (beta) | Yes (beta) | `BetaToolRunner` + raw JSON schema | | PHP | Yes (beta) | Yes (beta) | `BetaRunnableTool` + `toolRunner()` | | cURL | N/A | Yes (beta) | Raw HTTP, no SDK featu - Network accessline 136
| cURL | N/A | Yes (beta) | Raw HTTP, no SDK features | - Network accessline 138
> **Managed Agents code examples**: dedicated language-specific READMEs are provided for Python, TypeScript, Go, Ruby, PHP, Java, and cURL (`{lang}/managed-agents/README.md`, `curl/managed-agents.md`). Read your language's README plus the l - Access to secretsline 251
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 255
- **SDK code or `ant` CLI:** just run it. The zero-arg client constructor and every `ant …` subcommand pick up the profile automatically — no env var needed. - **Raw `curl` / HTTP:** get a short-lived token with `ant auth print-credentials - Network accessline 256
[Credential-related source omitted] - Access to secretsline 258
[Credential-related source omitted] - Network accessline 322
| C# | `Betas = ["fast-mode-2026-02-01"]` | `Speed = Speed.Fast` (`Anthropic.Models.Beta.Messages`) | | PHP | `betas: ['fast-mode-2026-02-01']` | `speed: 'fast'` | | cURL | `anthropic-beta: fast-mode-2026-02-01` header | `"speed": "fast"` i - Network accessline 324
| cURL | `anthropic-beta: fast-mode-2026-02-01` header | `"speed": "fast"` in body | - Access to secretsline 374
[Credential-related source omitted] - Access to secretsline 491
[Credential-related source omitted] - Network accessline 499
**All SDK languages use the same multi-file layout** — directory `{lang}/claude-api/` containing `README.md` (install, client init, basic request, thinking, caching, stop details, misc), `tool-use.md` (tool definitions, agentic loop, Anthro - Access to secretsline 571
[Credential-related source omitted] - Access to secretsline 608
[Credential-related source omitted]
auc/skill_library/bundled/claude-devfleet/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/claude-devfleet/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/claude-devfleet/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/claude-devfleet/SKILL.md - Network accessline 36
The DevFleet server is a separate project, not bundled with ECC. Install and run it from its repository first: <https://github.com/LEC-AI/claude-devfleet> - Network accessline 37
run it from its repository first: <https://github.com/LEC-AI/claude-devfleet> - Network accessline 41
claude mcp add devfleet --transport http http://localhost:18801/mcp
auc/skill_library/bundled/claude-handoff/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/claude-handoff/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/claude-handoff/SKILL.md division: custom - Network accessline 19
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/claude-handoff/SKILL.md
auc/skill_library/bundled/click-path-audit/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/click-path-audit/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/click-path-audit/SKILL.md division: custom - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/click-path-audit/SKILL.md
auc/skill_library/bundled/clickhouse-io/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/clickhouse-io/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/clickhouse-io/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/clickhouse-io/SKILL.md - Network accessline 184
const clickhouse = createClient({ url: process.env.CLICKHOUSE_URL ?? 'http://localhost:8123', - Network accessline 185
url: process.env.CLICKHOUSE_URL ?? 'http://localhost:8123',
auc/skill_library/bundled/code-review/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/code-review/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/code-review/SKILL.md division: engineering - Network accessline 24
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/code-review/SKILL.md
auc/skill_library/bundled/code-tour/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/code-tour/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/code-tour/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/code-tour/SKILL.md - Network accessline 190
{ "uri": "https://github.com/org/repo/pull/456", "title": "The PR" } - Network accessline 217
{ "$schema": "https://aka.ms/codetour-schema", - Network accessline 218
"$schema": "https://aka.ms/codetour-schema",
auc/skill_library/bundled/codebase-design/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/codebase-design/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/codebase-design/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/codebase-design/SKILL.md
auc/skill_library/bundled/codebase-onboarding/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/codebase-onboarding/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/codebase-onboarding/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/codebase-onboarding/SKILL.md
auc/skill_library/bundled/codehealth-mcp/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/codehealth-mcp/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/codehealth-mcp/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/codehealth-mcp/SKILL.md - Network accessline 32
**Upstream:** [codescene-oss/codescene-mcp-server](https://github.com/codescene-oss/codescene-mcp-server) - Network accessline 39
[Credential-related source omitted] - Access to secretsline 39
[Credential-related source omitted] - Network accessline 41
**What the tools read:** When invoked, tools analyze files and git state **in the local repository** you point them at (paths you pass, plus branch context for `analyze_change_set`). They do not run by themselves. For standalone mode, follo - Access to secretsline 70
[Credential-related source omitted]
auc/skill_library/bundled/coding-standards/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/coding-standards/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/coding-standards/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/coding-standards/SKILL.md - Network accessline 136
async function fetchData(url: string) { try { const response = await fetch(url) - Network accessline 138
const response = await fetch(url) - Network accessline 151
// FAIL: BAD: No error handling async function fetchData(url) { const response = await fetch(url) - Network accessline 152
async function fetchData(url) { const response = await fetch(url) return response.json() - Network accessline 153
const response = await fetch(url)
auc/skill_library/bundled/competitive-platform-analysis/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-platform-analysis/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-platform-analysis/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-platform-analysis/SKILL.md
auc/skill_library/bundled/competitive-report-structure/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-report-structure/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-report-structure/SKILL.md division: testing - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/competitive-report-structure/SKILL.md
auc/skill_library/bundled/compose-multiplatform-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/compose-multiplatform-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/compose-multiplatform-patterns/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/compose-multiplatform-patterns/SKILL.md
auc/skill_library/bundled/config-gc/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/config-gc/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/config-gc/SKILL.md division: engineering - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/config-gc/SKILL.md
auc/skill_library/bundled/configure-ecc/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/configure-ecc/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/configure-ecc/SKILL.md division: education - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/configure-ecc/SKILL.md - Dangerous shell operationline 52
rm -rf /tmp/everything-claude-code - Network accessline 52
rm -rf /tmp/everything-claude-code git clone https://github.com/affaan-m/everything-claude-code.git /tmp/everything-claude-code - Network accessline 53
git clone https://github.com/affaan-m/everything-claude-code.git /tmp/everything-claude-code - Network accessline 193
`claude-api` is an Anthropic canonical skill. Install it from [`anthropics/skills`](https://github.com/anthropics/skills) when you want the official Claude API workflow instead of an ECC-bundled copy. - Dangerous shell operationline 362
rm -rf /tmp/everything-claude-code
auc/skill_library/bundled/connections-optimizer/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/connections-optimizer/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/connections-optimizer/SKILL.md division: operations - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/connections-optimizer/SKILL.md
auc/skill_library/bundled/content-creation-publisher/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md - Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md division: marketing - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/content-creation-publisher/SKILL.md - Access to secretsline 267
[Credential-related source omitted] - Access to secretsline 267
[Credential-related source omitted] - Network accessline 280
用户:"采集这篇文章并发布到微信公众号" URL: https://example.com/article - Network accessline 280
用户:"采集这篇文章并发布到微信公众号" URL: https://example.com/article - Network accessline 281
URL: https://example.com/article - Network accessline 281
URL: https://example.com/article - Network accessline 304
用户:"采集这篇论文并生成PPT" URL: https://arxiv.org/abs/xxxxx - Network accessline 304
用户:"采集这篇论文并生成PPT" URL: https://arxiv.org/abs/xxxxx - Network accessline 305
URL: https://arxiv.org/abs/xxxxx - Network accessline 305
URL: https://arxiv.org/abs/xxxxx
auc/skill_library/bundled/content-engine/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-engine/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-engine/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-engine/SKILL.md
auc/skill_library/bundled/content-hash-cache-pattern/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-hash-cache-pattern/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-hash-cache-pattern/SKILL.md division: marketing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/content-hash-cache-pattern/SKILL.md
auc/skill_library/bundled/content-research-writer/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-research-writer/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/content-research-writer/SKILL.md division: marketing - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/content-research-writer/SKILL.md
auc/skill_library/bundled/context-budget/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md - Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md division: engineering - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/context-budget/SKILL.md
auc/skill_library/bundled/continuous-agent-loop/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-agent-loop/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-agent-loop/SKILL.md division: engineering - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-agent-loop/SKILL.md
auc/skill_library/bundled/continuous-learning-v2/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning-v2/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning-v2/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning-v2/SKILL.md - Network accessline 374
- [ECC-Tools GitHub App](https://github.com/apps/ecc-tools) - Generate instincts from repo history - Network accessline 376
- [The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Continuous learning section
auc/skill_library/bundled/continuous-learning/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/continuous-learning/SKILL.md - Network accessline 122
- [The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Section on continuous learning
auc/skill_library/bundled/contract-review/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/contract-review/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/contract-review/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/contract-review/SKILL.md
auc/skill_library/bundled/cost-aware-llm-pipeline/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-aware-llm-pipeline/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-aware-llm-pipeline/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-aware-llm-pipeline/SKILL.md
auc/skill_library/bundled/cost-tracking/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-tracking/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-tracking/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/cost-tracking/SKILL.md
auc/skill_library/bundled/council/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/council/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/council/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/council/SKILL.md
auc/skill_library/bundled/cpp-coding-standards/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-coding-standards/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-coding-standards/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-coding-standards/SKILL.md - Network accessline 28
Comprehensive coding standards for modern C++ (C++17/20/23) derived from the [C++ Core Guidelines](https://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines). Enforces type safety, resource safety, immutability, and clarity. - Network accessline 390
void run() { try { fetch_data("https://api.example.com"); - Network accessline 391
try { fetch_data("https://api.example.com"); } catch (const NetworkError& e) { - Network accessline 392
fetch_data("https://api.example.com");
auc/skill_library/bundled/cpp-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/cpp-testing/SKILL.md - Network accessline 183
googletest # Google Test framework (official repository) URL https://github.com/google/googletest/archive/refs/tags/${GTEST_VERSION}.zip - Network accessline 184
# Google Test framework (official repository) URL https://github.com/google/googletest/archive/refs/tags/${GTEST_VERSION}.zip ) - Network accessline 185
URL https://github.com/google/googletest/archive/refs/tags/${GTEST_VERSION}.zip
auc/skill_library/bundled/crosspost/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/crosspost/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/crosspost/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/crosspost/SKILL.md
auc/skill_library/bundled/csharp-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/csharp-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/csharp-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/csharp-testing/SKILL.md
auc/skill_library/bundled/customer-billing-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/customer-billing-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/customer-billing-ops/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/customer-billing-ops/SKILL.md
auc/skill_library/bundled/customs-trade-compliance/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/customs-trade-compliance/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/customs-trade-compliance/SKILL.md division: product - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/customs-trade-compliance/SKILL.md - Network accessline 112
**RVC calculation matters:** USMCA offers two methods — transaction value (TV) method: RVC = ((TV - VNM) / TV) × 100, and net cost (NC) method: RVC = ((NC - VNM) / NC) × 100. The net cost method excludes sales promotion, royalties, and ship
auc/skill_library/bundled/dart-flutter-patterns/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dart-flutter-patterns/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dart-flutter-patterns/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/dart-flutter-patterns/SKILL.md - Access to secretsline 482
[Credential-related source omitted] - Network accessline 491
if (refreshed) { error.requestOptions.extra['_isRetry'] = true; return handler.resolve(await dio.fetch(error.requestOptions)); - Network accessline 492
error.requestOptions.extra['_isRetry'] = true; return handler.resolve(await dio.fetch(error.requestOptions)); } - Network accessline 493
return handler.resolve(await dio.fetch(error.requestOptions)); - Network accessline 578
- [Effective Dart: Design](https://dart.dev/effective-dart/design) - Network accessline 579
- [Flutter Performance Best Practices](https://docs.flutter.dev/perf/best-practices) - Network accessline 580
- [Riverpod Documentation](https://riverpod.dev/) - Network accessline 581
- [BLoC Library](https://bloclibrary.dev/) - Network accessline 582
- [GoRouter](https://pub.dev/packages/go_router) - Network accessline 583
- [Freezed](https://pub.dev/packages/freezed)
auc/skill_library/bundled/dashboard-builder/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dashboard-builder/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dashboard-builder/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/dashboard-builder/SKILL.md
auc/skill_library/bundled/data-scraper-agent/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-scraper-agent/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-scraper-agent/SKILL.md division: engineering - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-scraper-agent/SKILL.md - Network accessline 178
def fetch() -> list[dict]: - Network accessline 185
# ---- REST API source ---- resp = requests.get("https://api.example.com/items", headers=HEADERS, timeout=15) - Network accessline 186
resp = requests.get("https://api.example.com/items", headers=HEADERS, timeout=15) - Network accessline 212
link = card.select_one("a")["href"] if not link.startswith("http"): link = f"https://example.com{link}" - Network accessline 214
link = f"https://example.com{link}" - Access to secretsline 248
[Credential-related source omitted] - Access to secretsline 249
[Credential-related source omitted] - Network accessline 259
for m in models: url = f"https://generativelanguage.googleapis.com/v1beta/models/{m}:generateContent?key={api_key}" - Network accessline 260
[Credential-related source omitted] - Access to secretsline 260
[Credential-related source omitted] - Network accessline 268
} try: resp = requests.post(url, json=payload, timeout=30) - Network accessline 269
try: resp = requests.post(url, json=payload, timeout=30) if resp.status_code == 200: - Network accessline 270
resp = requests.post(url, json=payload, timeout=30) - Access to secretsline 427
[Credential-related source omitted] - Access to secretsline 503
[Credential-related source omitted] - Access to secretsline 511
[Credential-related source omitted] - Access to secretsline 550
[Credential-related source omitted] - Access to secretsline 598
[Credential-related source omitted] - Network accessline 651
resp = requests.get(url, params={"q": query}, headers=HEADERS, timeout=15) - Network accessline 675
page = 1 while True: resp = requests.get(url, params={"page": page, "limit": 50}, timeout=15) - Network accessline 676
while True: resp = requests.get(url, params={"page": page, "limit": 50}, timeout=15) data = resp.json() - Network accessline 677
resp = requests.get(url, params={"page": page, "limit": 50}, timeout=15)
auc/skill_library/bundled/data-storytelling/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/data-storytelling/data-storytelling/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/data-storytelling/data-storytelling/SKILL.md division: product - Network accessline 19
source_url: https://github.com/anbeime/skill/blob/main/skills/data-storytelling/data-storytelling/SKILL.md - Network accessline 470
- [Storytelling with Data (Cole Nussbaumer)](https://www.storytellingwithdata.com/) - Network accessline 471
- [The Pyramid Principle (Barbara Minto)](https://www.amazon.com/Pyramid-Principle-Logic-Writing-Thinking/dp/0273710516) - Network accessline 472
- [Resonate (Nancy Duarte)](https://www.duarte.com/resonate/)
auc/skill_library/bundled/data-throughput-accelerator/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-throughput-accelerator/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-throughput-accelerator/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/data-throughput-accelerator/SKILL.md
auc/skill_library/bundled/database-migrations/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/database-migrations/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/database-migrations/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/database-migrations/SKILL.md
auc/skill_library/bundled/deep-research/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/deep-research/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/deep-research/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/deep-research/SKILL.md
auc/skill_library/bundled/defi-amm-security/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/defi-amm-security/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/defi-amm-security/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/defi-amm-security/SKILL.md
auc/skill_library/bundled/delivery-gate/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/delivery-gate/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/delivery-gate/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/delivery-gate/SKILL.md
auc/skill_library/bundled/deployment-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/deployment-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/deployment-patterns/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/deployment-patterns/SKILL.md - Network accessline 135
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1 - Network accessline 136
CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1 - Network accessline 158
EXPOSE 8080 HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:8080/health || exit 1 - Network accessline 159
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:8080/health || exit 1 - Network accessline 185
HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1 - Access to secretsline 360
[Credential-related source omitted]
auc/skill_library/bundled/design-system/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/design-system/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/design-system/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/design-system/SKILL.md - Network accessline 96
/design-system audit --url http://localhost:3000 --pages / /pricing /docs
auc/skill_library/bundled/diagnosing-bugs/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/diagnosing-bugs/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/diagnosing-bugs/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/diagnosing-bugs/SKILL.md - Network accessline 42
1. **Failing test** at whatever seam reaches the bug — unit, integration, e2e. 2. **Curl / HTTP script** against a running dev server. - Network accessline 43
2. **Curl / HTTP script** against a running dev server. - Network accessline 75
Phase 1 is done when the loop is **tight** and **red-capable**: you can name **one command** — a script path, a test invocation, a curl — that you have **already run at least once** (paste the invocation and its output), and that is:
auc/skill_library/bundled/digital-avatar-shopping-video/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/digital-avatar-shopping-video/digital-avatar-shopping-video/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/digital-avatar-shopping-video/digital-avatar-shopping-video/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/digital-avatar-shopping-video/digital-avatar-shopping-video/SKILL.md
auc/skill_library/bundled/dispatching-parallel-agents/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/dispatching-parallel-agents/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/dispatching-parallel-agents/SKILL.md division: engineering - Network accessline 19
source_url: https://github.com/obra/superpowers/blob/main/skills/dispatching-parallel-agents/SKILL.md
auc/skill_library/bundled/django-celery/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-celery/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-celery/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-celery/SKILL.md - Access to secretsline 57
[Credential-related source omitted]
auc/skill_library/bundled/django-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-patterns/SKILL.md - Access to secretsline 82
[Credential-related source omitted]
auc/skill_library/bundled/django-security/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-security/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-security/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-security/SKILL.md - Access to secretsline 50
[Credential-related source omitted] - Access to secretsline 70
[Credential-related source omitted] - Network accessline 361
CSRF_COOKIE_HTTPONLY = True # Prevent JavaScript access CSRF_COOKIE_SAMESITE = 'Lax' # Prevent CSRF in some cases CSRF_TRUSTED_ORIGINS = ['https://example.com'] # Trusted domains - Network accessline 363
CSRF_TRUSTED_ORIGINS = ['https://example.com'] # Trusted domains - Network accessline 388
fetch('/api/endpoint/', { - Network accessline 495
# Use a separate domain for media in production MEDIA_DOMAIN = 'https://media.example.com' - Network accessline 496
MEDIA_DOMAIN = 'https://media.example.com' - Network accessline 563
# settings.py CSP_DEFAULT_SRC = "'self'" CSP_SCRIPT_SRC = "'self' https://cdn.example.com" - Network accessline 564
CSP_DEFAULT_SRC = "'self'" CSP_SCRIPT_SRC = "'self' https://cdn.example.com" CSP_STYLE_SRC = "'self' 'unsafe-inline'" - Network accessline 565
CSP_SCRIPT_SRC = "'self' https://cdn.example.com" - Network accessline 566
CSP_STYLE_SRC = "'self' 'unsafe-inline'" CSP_IMG_SRC = "'self' data: https:" CSP_CONNECT_SRC = "'self' https://api.example.com" - Network accessline 568
CSP_CONNECT_SRC = "'self' https://api.example.com" - Access to secretsline 600
[Credential-related source omitted] - Access to secretsline 603
[Credential-related source omitted] - Access to secretsline 607
[Credential-related source omitted] - Access to secretsline 653
[Credential-related source omitted]
auc/skill_library/bundled/django-tdd/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-tdd/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-tdd/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-tdd/SKILL.md
auc/skill_library/bundled/django-verification/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-verification/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-verification/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/django-verification/SKILL.md - Access to secretsline 51
[Credential-related source omitted] - Network accessline 272
# Access Swagger UI (if using drf-yasg) # Visit http://localhost:8000/swagger/ in browser - Network accessline 273
# Visit http://localhost:8000/swagger/ in browser
auc/skill_library/bundled/dmux-workflows/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dmux-workflows/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dmux-workflows/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/dmux-workflows/SKILL.md - Network accessline 47
**Install:** Install dmux from its repository after reviewing the package. See [github.com/standardagents/dmux](https://github.com/standardagents/dmux)
auc/skill_library/bundled/doc-coauthoring/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md division: specialized - Network accessline 24
source_url: https://github.com/anthropics/skills/blob/main/skills/doc-coauthoring/SKILL.md - Network accessline 327
Provide testing instructions: 1. Open a fresh Claude conversation: https://claude.ai - Network accessline 328
1. Open a fresh Claude conversation: https://claude.ai
auc/skill_library/bundled/docker-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/docker-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/docker-patterns/SKILL.md division: specialized - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/docker-patterns/SKILL.md - Network accessline 133
ENV NODE_ENV=production EXPOSE 3000 HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1 - Network accessline 134
EXPOSE 3000 HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1 CMD ["node", "dist/server.js"] - Network accessline 135
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1 - Access to secretsline 286
[Credential-related source omitted] - Access to secretsline 288
[Credential-related source omitted] - Access to secretsline 301
[Credential-related source omitted] - Access to secretsline 309
[Credential-related source omitted] - Network accessline 356
# Check connectivity docker compose exec app wget -qO- http://api:3000/health - Network accessline 357
docker compose exec app wget -qO- http://api:3000/health - Access to secretsline 383
[Credential-related source omitted]
auc/skill_library/bundled/documentation-lookup/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/documentation-lookup/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/documentation-lookup/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/documentation-lookup/SKILL.md
auc/skill_library/bundled/docx/SKILL.md
- Network accessline 26
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md - Network accessline 27
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md division: specialized - Network accessline 28
source_url: https://github.com/anthropics/skills/blob/main/skills/docx/SKILL.md - Network accessline 280
children: [new ExternalHyperlink({ children: [new TextRun({ text: "Click here", style: "Hyperlink" })], link: "https://example.com", - Network accessline 281
children: [new TextRun({ text: "Click here", style: "Hyperlink" })], link: "https://example.com", })] - Network accessline 282
link: "https://example.com",
auc/skill_library/bundled/domain-modeling/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/domain-modeling/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/domain-modeling/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/domain-modeling/SKILL.md
auc/skill_library/bundled/dotnet-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dotnet-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dotnet-patterns/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/dotnet-patterns/SKILL.md
auc/skill_library/bundled/dream-video-prompt-generator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/dream-video-prompt-generator/dream-video-prompt-generator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/dream-video-prompt-generator/dream-video-prompt-generator/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/dream-video-prompt-generator/dream-video-prompt-generator/SKILL.md
auc/skill_library/bundled/dynamic-workflow-mode/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dynamic-workflow-mode/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/dynamic-workflow-mode/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/dynamic-workflow-mode/SKILL.md
auc/skill_library/bundled/e2e-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md - Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md division: testing - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/e2e-testing/SKILL.md - Network accessline 135
], use: { baseURL: process.env.BASE_URL || 'http://localhost:3000', - Network accessline 135
], use: { baseURL: process.env.BASE_URL || 'http://localhost:3000', - Network accessline 136
use: { baseURL: process.env.BASE_URL || 'http://localhost:3000', trace: 'on-first-retry', - Network accessline 136
use: { baseURL: process.env.BASE_URL || 'http://localhost:3000', trace: 'on-first-retry', - Network accessline 137
baseURL: process.env.BASE_URL || 'http://localhost:3000', - Network accessline 137
baseURL: process.env.BASE_URL || 'http://localhost:3000', - Network accessline 150
webServer: { command: 'npm run dev', url: 'http://localhost:3000', - Network accessline 150
webServer: { command: 'npm run dev', url: 'http://localhost:3000', - Network accessline 151
command: 'npm run dev', url: 'http://localhost:3000', reuseExistingServer: !process.env.CI, - Network accessline 151
command: 'npm run dev', url: 'http://localhost:3000', reuseExistingServer: !process.env.CI, - Network accessline 152
url: 'http://localhost:3000', - Network accessline 152
url: 'http://localhost:3000',
auc/skill_library/bundled/ecc-guide/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-guide/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-guide/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-guide/SKILL.md
auc/skill_library/bundled/ecc-recipes/SKILL.md
- Network accessline 23
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-recipes/SKILL.md - Network accessline 24
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-recipes/SKILL.md division: engineering - Network accessline 25
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-recipes/SKILL.md
auc/skill_library/bundled/ecc-tools-cost-audit/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-tools-cost-audit/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-tools-cost-audit/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ecc-tools-cost-audit/SKILL.md
auc/skill_library/bundled/ecommerce-copywriter/SKILL.md
- Network accessline 9
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-copywriter/ecommerce-copywriter/SKILL.md - Network accessline 10
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-copywriter/ecommerce-copywriter/SKILL.md division: marketing - Network accessline 11
source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-copywriter/ecommerce-copywriter/SKILL.md - Network accessline 107
4. **格式优化** - 确保Markdown格式正确 - 图片链接格式:`` - Network accessline 108
- 确保Markdown格式正确 - 图片链接格式:`` - 标题格式:`**🎉 emoji + 产品昵称:核心卖点**` - Network accessline 109
- 图片链接格式:`` - Network accessline 195
 - Network accessline 264
**格式要求**: - 使用Markdown格式 - 图片链接格式:`` - Network accessline 265
- 使用Markdown格式 - 图片链接格式:`` - 标题格式:`**🎉 emoji + 产品昵称:核心卖点**` - Network accessline 266
- 图片链接格式:``
auc/skill_library/bundled/ecommerce-video-marketing/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-video-marketing/ecommerce-video-marketing/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-video-marketing/ecommerce-video-marketing/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/ecommerce-video-marketing/ecommerce-video-marketing/SKILL.md
auc/skill_library/bundled/edit-article/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/edit-article/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/edit-article/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/edit-article/SKILL.md
auc/skill_library/bundled/email-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/email-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/email-ops/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/email-ops/SKILL.md
auc/skill_library/bundled/energy-procurement/SKILL.md
- Network accessline 25
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/energy-procurement/SKILL.md - Network accessline 26
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/energy-procurement/SKILL.md division: marketing - Network accessline 27
source_url: https://github.com/affaan-m/ECC/blob/main/skills/energy-procurement/SKILL.md
auc/skill_library/bundled/enterprise-agent-ops/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/enterprise-agent-ops/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/enterprise-agent-ops/SKILL.md division: specialized - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/enterprise-agent-ops/SKILL.md
auc/skill_library/bundled/error-handling/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/error-handling/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/error-handling/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/error-handling/SKILL.md - Network accessline 358
// Usage: retry transient network errors, not 4xx const data = await withRetry(() => fetch('/api/data').then(r => r.json()), { - Network accessline 359
const data = await withRetry(() => fetch('/api/data').then(r => r.json()), {
auc/skill_library/bundled/eval-harness/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/eval-harness/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/eval-harness/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/eval-harness/SKILL.md
auc/skill_library/bundled/evm-token-decimals/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/evm-token-decimals/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/evm-token-decimals/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/evm-token-decimals/SKILL.md
auc/skill_library/bundled/exa-search/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/exa-search/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/exa-search/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/exa-search/SKILL.md - Access to secretsline 53
[Credential-related source omitted] - Network accessline 57
Get an API key at [exa.ai](https://exa.ai).
auc/skill_library/bundled/executing-plans/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/executing-plans/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/executing-plans/SKILL.md division: product - Network accessline 19
source_url: https://github.com/obra/superpowers/blob/main/skills/executing-plans/SKILL.md
auc/skill_library/bundled/fal-ai-media/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fal-ai-media/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fal-ai-media/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/fal-ai-media/SKILL.md - Access to secretsline 53
[Credential-related source omitted] - Network accessline 57
Get an API key at [fal.ai](https://fal.ai). - Network accessline 241
resp = requests.post( - Network accessline 242
"https://api.elevenlabs.io/v1/text-to-speech/<voice_id>", - Access to secretsline 244
[Credential-related source omitted]
auc/skill_library/bundled/fastapi-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fastapi-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fastapi-patterns/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/fastapi-patterns/SKILL.md - Access to secretsline 54
[Credential-related source omitted] - Access to secretsline 116
[Credential-related source omitted] - Network accessline 127
# Pydantic-settings v2 safely evaluates mutable list literals directly allowed_origins: list[str] = ["http://localhost:3000"] - Network accessline 128
allowed_origins: list[str] = ["http://localhost:3000"] - Access to secretsline 321
[Credential-related source omitted] - Network accessline 457
async with AsyncClient( transport=ASGITransport(app=app), base_url="http://test" - Network accessline 458
transport=ASGITransport(app=app), base_url="http://test" - Access to secretsline 476
[Credential-related source omitted] - Access to secretsline 482
[Credential-related source omitted] - Access to secretsline 486
[Credential-related source omitted] - Access to secretsline 487
[Credential-related source omitted]
auc/skill_library/bundled/finance-billing-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/finance-billing-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/finance-billing-ops/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/finance-billing-ops/SKILL.md
auc/skill_library/bundled/finishing-a-development-branch/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/finishing-a-development-branch/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/finishing-a-development-branch/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/obra/superpowers/blob/main/skills/finishing-a-development-branch/SKILL.md
auc/skill_library/bundled/flox-environments/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/flox-environments/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/flox-environments/SKILL.md division: engineering - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/flox-environments/SKILL.md - Network accessline 50
**Prerequisite:** Flox must be installed first — see [flox.dev/docs](https://flox.dev/docs/install-flox/install/) for macOS, Linux, and Docker. - Access to secretsline 342
[Credential-related source omitted] - Access to secretsline 345
[Credential-related source omitted] - Access to secretsline 347
[Credential-related source omitted] - Dangerous shell operationline 470
Flox is ideal for AI-assisted development and vibe coding workflows. When an AI agent needs a tool that isn't available in the current environment — a compiler, a database, a linter, a CLI utility — it can add it to the project's Flox manif - Dangerous shell operationline 473
- **No sudo required** — `flox install` works entirely in user space, so agents can add packages without elevated permissions - Network accessline 515
The following skills are available as part of the [Flox Claude Code plugin](https://github.com/flox/flox-agentic) for deeper integration: - Network accessline 523
Learn more and install at [flox.dev/docs](https://flox.dev/docs/install-flox/install/)
auc/skill_library/bundled/flutter-dart-code-review/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/flutter-dart-code-review/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/flutter-dart-code-review/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/flutter-dart-code-review/SKILL.md - Access to secretsline 288
[Credential-related source omitted] - Network accessline 447
- [Effective Dart: Style](https://dart.dev/effective-dart/style) - Network accessline 448
- [Effective Dart: Usage](https://dart.dev/effective-dart/usage) - Network accessline 449
- [Effective Dart: Design](https://dart.dev/effective-dart/design) - Network accessline 450
- [Flutter Performance Best Practices](https://docs.flutter.dev/perf/best-practices) - Network accessline 451
- [Flutter Testing Overview](https://docs.flutter.dev/testing/overview) - Network accessline 452
- [Flutter Accessibility](https://docs.flutter.dev/ui/accessibility-and-internationalization/accessibility) - Network accessline 453
- [Flutter Internationalization](https://docs.flutter.dev/ui/accessibility-and-internationalization/internationalization) - Network accessline 454
- [Flutter Navigation and Routing](https://docs.flutter.dev/ui/navigation) - Network accessline 455
- [Flutter Error Handling](https://docs.flutter.dev/testing/errors) - Network accessline 456
- [Flutter State Management Options](https://docs.flutter.dev/data-and-backend/state-mgmt/options)
auc/skill_library/bundled/foundation-models-on-device/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/foundation-models-on-device/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/foundation-models-on-device/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/foundation-models-on-device/SKILL.md
auc/skill_library/bundled/frontend-a11y/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-a11y/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-a11y/SKILL.md division: design - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-a11y/SKILL.md - Network accessline 342
> This example covers initial focus and restoration. For a full focus trap (Tab/Shift+Tab cycling within the modal), use a library like [`focus-trap-react`](https://github.com/focus-trap/focus-trap-react) which handles edge cases like dynam
auc/skill_library/bundled/frontend-design-direction/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-design-direction/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-design-direction/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-design-direction/SKILL.md
auc/skill_library/bundled/frontend-design/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/frontend-design/frontend-design/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/frontend-design/frontend-design/SKILL.md division: design - Network accessline 19
source_url: https://github.com/anbeime/skill/blob/main/skills/frontend-design/frontend-design/SKILL.md
auc/skill_library/bundled/frontend-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md division: design - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md division: design - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-patterns/SKILL.md - Network accessline 134
useEffect(() => { fetch(url) - Network accessline 134
useEffect(() => { fetch(url) - Network accessline 134
useEffect(() => { fetch(url) - Network accessline 135
fetch(url) - Network accessline 135
fetch(url) - Network accessline 135
fetch(url) - Network accessline 232
const { data: markets, loading, error, refetch } = useQuery( 'markets', () => fetch('/api/markets').then(r => r.json()), - Network accessline 232
const { data: markets, loading, error, refetch } = useQuery( 'markets', () => fetch('/api/markets').then(r => r.json()), - Network accessline 232
const { data: markets, loading, error, refetch } = useQuery( 'markets', () => fetch('/api/markets').then(r => r.json()), - Network accessline 233
'markets', () => fetch('/api/markets').then(r => r.json()), { - Network accessline 233
'markets', () => fetch('/api/markets').then(r => r.json()), { - Network accessline 233
'markets', () => fetch('/api/markets').then(r => r.json()), { - Network accessline 234
() => fetch('/api/markets').then(r => r.json()), - Network accessline 234
() => fetch('/api/markets').then(r => r.json()), - Network accessline 234
() => fetch('/api/markets').then(r => r.json()),
auc/skill_library/bundled/frontend-slides/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-slides/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-slides/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/frontend-slides/SKILL.md
auc/skill_library/bundled/fsharp-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fsharp-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/fsharp-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/fsharp-testing/SKILL.md
auc/skill_library/bundled/gan-style-harness/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/gan-style-harness/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/gan-style-harness/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/gan-style-harness/SKILL.md - Network accessline 29
> Inspired by [Anthropic's Harness Design for Long-Running Application Development](https://www.anthropic.com/engineering/harness-design-long-running-apps) (March 24, 2026) - Network accessline 205
# Step 3: Evaluate (iteration 1) claude -p --model opus --allowedTools "Read,Bash,mcp__playwright__*" "You are an Evaluator. Read EVALUATOR_PROMPT.md. Test the live app at http://localhost:3000. Score against the rubric. Write feedback to f - Network accessline 206
claude -p --model opus --allowedTools "Read,Bash,mcp__playwright__*" "You are an Evaluator. Read EVALUATOR_PROMPT.md. Test the live app at http://localhost:3000. Score against the rubric. Write feedback to feedback-001.md" - Network accessline 294
- [Anthropic: Harness Design for Long-Running Apps](https://www.anthropic.com/engineering/harness-design-long-running-apps) — Original paper by Prithvi Rajasekaran - Network accessline 295
- [Epsilla: The GAN-Style Agent Loop](https://www.epsilla.com/blogs/anthropic-harness-engineering-multi-agent-gan-architecture) — Architecture deconstruction - Network accessline 296
- [Martin Fowler: Harness Engineering](https://martinfowler.com/articles/exploring-gen-ai/harness-engineering.html) — Broader industry context - Network accessline 297
- [OpenAI: Harness Engineering](https://openai.com/index/harness-engineering/) — OpenAI's parallel work
auc/skill_library/bundled/gateguard/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/gateguard/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/gateguard/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/gateguard/SKILL.md - Dangerous shell operationline 98
Triggers on: `rm -rf`, `git reset --hard`, `git push --force`, `drop table`, etc.
auc/skill_library/bundled/generating-python-installer/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/generating-python-installer/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/generating-python-installer/SKILL.md division: testing - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/generating-python-installer/SKILL.md - Network accessline 118
| **输出路径** (Output Dir) | 安装包生成位置 | `D:\project\output` | | **图标路径** (Icon Path) | .ico 文件绝对路径(可选但推荐) | `D:\project\icon.ico` | | **官网地址** (URL) | 可选,用于控制面板链接 | `https://example.com` | - Network accessline 120
| **官网地址** (URL) | 可选,用于控制面板链接 | `https://example.com` | - Network accessline 170
# 1. 安装 32 位 Python(和 64 位可以共存) # 下载地址:https://www.python.org/downloads/windows/ - Network accessline 171
# 下载地址:https://www.python.org/downloads/windows/ - Network accessline 689
> 下载地址:[Microsoft Visual C++ Redistributable](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist) - Network accessline 779
| `{{APP_VERSION}}` | 版本号 | `1.0.0` | | `{{PUBLISHER}}` | 发布者/公司名 | `MyCompany` | | `{{APP_URL}}` | 官网地址 | `https://example.com` | - Network accessline 780
| `{{PUBLISHER}}` | 发布者/公司名 | `MyCompany` | | `{{APP_URL}}` | 官网地址 | `https://example.com` | | `{{EXE_NAME}}` | 主程序文件名 | `RedInk.exe` | - Network accessline 781
| `{{APP_URL}}` | 官网地址 | `https://example.com` |
auc/skill_library/bundled/gget/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-pkg-gget/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-pkg-gget/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-pkg-gget/SKILL.md - Network accessline 182
- [gget documentation](https://pachterlab.github.io/gget/) - Network accessline 183
- [gget updates](https://pachterlab.github.io/gget/en/updates.html) - Network accessline 184
- [gget GitHub repository](https://github.com/pachterlab/gget) - Network accessline 185
- [gget Bioinformatics paper](https://doi.org/10.1093/bioinformatics/btac836)
auc/skill_library/bundled/git-guardrails-claude-code/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/git-guardrails-claude-code/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/git-guardrails-claude-code/SKILL.md division: operations - Network accessline 22
source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/git-guardrails-claude-code/SKILL.md
auc/skill_library/bundled/git-workflow/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/git-workflow/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/git-workflow/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/git-workflow/SKILL.md - Access to secretsline 542
[Credential-related source omitted] - Network accessline 604
# 1. Add upstream remote (once) git remote add upstream https://github.com/original/repo.git - Network accessline 605
git remote add upstream https://github.com/original/repo.git - Access to secretsline 657
[Credential-related source omitted] - Access to secretsline 689
[Credential-related source omitted]
auc/skill_library/bundled/github-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/github-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/github-ops/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/github-ops/SKILL.md
auc/skill_library/bundled/golang-patterns/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-patterns/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-patterns/SKILL.md division: engineering - Network accessline 19
source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-patterns/SKILL.md - Network accessline 293
ch := make(chan []byte) go func() { data, _ := fetch(url) - Network accessline 294
go func() { data, _ := fetch(url) ch <- data // Blocks forever if no receiver - Network accessline 295
data, _ := fetch(url) - Network accessline 303
ch := make(chan []byte, 1) // Buffered channel go func() { data, err := fetch(url) - Network accessline 304
go func() { data, err := fetch(url) if err != nil { - Network accessline 305
data, err := fetch(url)
auc/skill_library/bundled/golang-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-testing/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/golang-testing/SKILL.md
auc/skill_library/bundled/google-workspace-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/google-workspace-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/google-workspace-ops/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/google-workspace-ops/SKILL.md
auc/skill_library/bundled/grill-me/SKILL.md
- Network accessline 11
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grill-me/SKILL.md - Network accessline 12
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grill-me/SKILL.md division: education - Network accessline 13
source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grill-me/SKILL.md
auc/skill_library/bundled/grill-with-docs/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/grill-with-docs/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/grill-with-docs/SKILL.md division: engineering - Network accessline 19
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/grill-with-docs/SKILL.md
auc/skill_library/bundled/grilling/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grilling/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grilling/SKILL.md division: education - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/grilling/SKILL.md
auc/skill_library/bundled/growth-log/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/growth-log/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/growth-log/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/growth-log/SKILL.md
auc/skill_library/bundled/handoff/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/handoff/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/handoff/SKILL.md division: education - Network accessline 16
source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/handoff/SKILL.md
auc/skill_library/bundled/healthcare-cdss-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-cdss-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-cdss-patterns/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-cdss-patterns/SKILL.md
auc/skill_library/bundled/healthcare-emr-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-emr-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-emr-patterns/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-emr-patterns/SKILL.md
auc/skill_library/bundled/healthcare-eval-harness/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-eval-harness/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-eval-harness/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-eval-harness/SKILL.md
auc/skill_library/bundled/healthcare-phi-compliance/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-phi-compliance/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-phi-compliance/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/healthcare-phi-compliance/SKILL.md
auc/skill_library/bundled/hermes-imports/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hermes-imports/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hermes-imports/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/hermes-imports/SKILL.md
auc/skill_library/bundled/hexagonal-architecture/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hexagonal-architecture/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hexagonal-architecture/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/hexagonal-architecture/SKILL.md
auc/skill_library/bundled/hipaa-compliance/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hipaa-compliance/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hipaa-compliance/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/hipaa-compliance/SKILL.md
auc/skill_library/bundled/historical-interview-scripts/SKILL.md
- Network accessline 9
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/historical-interview-scripts/historical-interview-scripts/SKILL.md - Network accessline 10
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/historical-interview-scripts/historical-interview-scripts/SKILL.md division: marketing - Network accessline 11
source_url: https://github.com/anbeime/skill/blob/main/skills/historical-interview-scripts/historical-interview-scripts/SKILL.md
auc/skill_library/bundled/historical-science-video-prod/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/historical-science-video-prod/historical-science-video-prod/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/historical-science-video-prod/historical-science-video-prod/SKILL.md division: marketing - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/historical-science-video-prod/historical-science-video-prod/SKILL.md
auc/skill_library/bundled/homelab-network-readiness/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-readiness/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-readiness/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-readiness/SKILL.md
auc/skill_library/bundled/homelab-network-setup/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-setup/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-setup/SKILL.md division: operations - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-network-setup/SKILL.md
auc/skill_library/bundled/homelab-pihole-dns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-pihole-dns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-pihole-dns/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-pihole-dns/SKILL.md - Access to secretsline 78
[Credential-related source omitted] - Dangerous shell operationline 104
sudo nano /etc/dhcpcd.conf - Network accessline 111
# Step 2: Download and inspect the installer before running it. # Prefer the package or installer path documented by Pi-hole for your OS/version. curl -sSL https://install.pi-hole.net -o pi-hole-install.sh - Network accessline 112
# Prefer the package or installer path documented by Pi-hole for your OS/version. curl -sSL https://install.pi-hole.net -o pi-hole-install.sh less pi-hole-install.sh # review before proceeding - Network accessline 113
curl -sSL https://install.pi-hole.net -o pi-hole-install.sh - Dangerous shell operationline 138
Force renewal: reconnect Wi-Fi or run 'sudo dhclient -r && sudo dhclient' on Linux - Network accessline 156
# Recommended blocklists: https://raw.githubusercontent.com/StevenBlack/hosts/master/hosts - Network accessline 157
https://raw.githubusercontent.com/StevenBlack/hosts/master/hosts - Network accessline 160
https://blocklistproject.github.io/Lists/malware.txt - Network accessline 163
https://blocklistproject.github.io/Lists/tracking.txt - Network accessline 184
# If you download a binary directly, pin a release version and verify its checksum. CLOUDFLARED_VERSION="<pinned-version>" curl -LO "https://github.com/cloudflare/cloudflared/releases/download/${CLOUDFLARED_VERSION}/cloudflared-linux-arm64" - Network accessline 185
CLOUDFLARED_VERSION="<pinned-version>" curl -LO "https://github.com/cloudflare/cloudflared/releases/download/${CLOUDFLARED_VERSION}/cloudflared-linux-arm64" # Verify the checksum/signature from Cloudflare's release notes before installing. - Network accessline 186
curl -LO "https://github.com/cloudflare/cloudflared/releases/download/${CLOUDFLARED_VERSION}/cloudflared-linux-arm64" - Dangerous shell operationline 188
sudo mv cloudflared-linux-arm64 /usr/local/bin/cloudflared - Dangerous shell operationline 189
sudo chmod +x /usr/local/bin/cloudflared - Dangerous shell operationline 192
sudo mkdir -p /etc/cloudflared - Dangerous shell operationline 193
sudo tee /etc/cloudflared/config.yml << EOF - Network accessline 195
proxy-dns-port: 5053 proxy-dns-upstream: - https://1.1.1.1/dns-query - Network accessline 196
proxy-dns-upstream: - https://1.1.1.1/dns-query - https://1.0.0.1/dns-query - Network accessline 197
- https://1.1.1.1/dns-query - Network accessline 198
- https://1.0.0.1/dns-query - Dangerous shell operationline 202
sudo cloudflared service install - Dangerous shell operationline 203
sudo systemctl start cloudflared - Dangerous shell operationline 204
sudo systemctl enable cloudflared - Network accessline 230
# From any device on your network: ping nas.home.lan → 192.168.30.10 http://grafana.home.lan → your Grafana dashboard - Network accessline 232
http://grafana.home.lan → your Grafana dashboard
auc/skill_library/bundled/homelab-vlan-segmentation/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-vlan-segmentation/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-vlan-segmentation/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-vlan-segmentation/SKILL.md
auc/skill_library/bundled/homelab-wireguard-vpn/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-wireguard-vpn/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-wireguard-vpn/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/homelab-wireguard-vpn/SKILL.md - Dangerous shell operationline 67
sudo apt update && sudo apt install wireguard -y - Dangerous shell operationline 70
sudo mkdir -p /etc/wireguard - Dangerous shell operationline 71
sudo sh -c 'umask 077; wg genkey > /etc/wireguard/server_private.key' - Dangerous shell operationline 72
sudo sh -c 'wg pubkey < /etc/wireguard/server_private.key > /etc/wireguard/server_public.key' - Dangerous shell operationline 76
sudo tee /etc/wireguard/wg0.conf << 'EOF' - Dangerous shell operationline 100
sudo chmod 600 /etc/wireguard/wg0.conf - Dangerous shell operationline 106
echo "net.ipv4.ip_forward=1" | sudo tee /etc/sysctl.d/99-wireguard.conf - Dangerous shell operationline 107
sudo sysctl --system - Dangerous shell operationline 110
sudo wg-quick up wg0 - Dangerous shell operationline 111
sudo systemctl enable wg-quick@wg0 - Network accessline 251
set -eu . /etc/ddns.env curl --fail --silent --show-error --max-time 10 \ - Network accessline 252
. /etc/ddns.env curl --fail --silent --show-error --max-time 10 \ --get "https://www.duckdns.org/update" \ - Network accessline 253
[Credential-related source omitted] - Access to secretsline 253
[Credential-related source omitted] - Network accessline 254
--get "https://www.duckdns.org/update" \ - Access to secretsline 256
[Credential-related source omitted] - Dangerous shell operationline 267
sudo wg show - Dangerous shell operationline 272
sudo ufw status # or check pfSense/UniFi firewall rules - Dangerous shell operationline 275
sudo wg show wg0 public-key # Compare to what is in the client config - Dangerous shell operationline 287
sudo wg-quick down wg0 && sudo wg-quick up wg0
auc/skill_library/bundled/hookify-rules/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hookify-rules/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/hookify-rules/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/hookify-rules/SKILL.md - Access to secretsline 71
[Credential-related source omitted] - Access to secretsline 74
[Credential-related source omitted] - Dangerous shell operationline 116
- **Too specific**: `rm -rf /tmp` — use `rm\s+-rf`
auc/skill_library/bundled/implement/SKILL.md
- Network accessline 12
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/implement/SKILL.md - Network accessline 13
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/implement/SKILL.md division: engineering - Network accessline 14
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/implement/SKILL.md
auc/skill_library/bundled/improve-codebase-architecture/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/improve-codebase-architecture/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/improve-codebase-architecture/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/improve-codebase-architecture/SKILL.md
auc/skill_library/bundled/infinitetalk-infinitetalk/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/infinitetalk/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/infinitetalk/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/infinitetalk/SKILL.md
auc/skill_library/bundled/infinitetalk-shopping-avatar/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk-shopping-avatar/infinitetalk-shopping-avatar/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk-shopping-avatar/infinitetalk-shopping-avatar/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk-shopping-avatar/infinitetalk-shopping-avatar/SKILL.md
auc/skill_library/bundled/infinitetalk/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/infinitetalk/SKILL.md
auc/skill_library/bundled/inherit-legacy-style/SKILL.md
- Network accessline 23
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/inherit-legacy-style/SKILL.md - Network accessline 24
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/inherit-legacy-style/SKILL.md division: engineering - Network accessline 25
source_url: https://github.com/affaan-m/ECC/blob/main/skills/inherit-legacy-style/SKILL.md
auc/skill_library/bundled/intelligent-content-system/SKILL.md
- Network accessline 35
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/intelligent-content-system/SKILL.md - Network accessline 36
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/intelligent-content-system/SKILL.md division: marketing - Network accessline 37
source_url: https://github.com/anbeime/skill/blob/main/skills/intelligent-content-system/SKILL.md - Access to secretsline 367
[Credential-related source omitted] - Network accessline 378
用户:"采集这篇文章并发布到微信公众号" URL: https://example.com/article - Network accessline 379
URL: https://example.com/article - Network accessline 443
用户:"把这个网页转成小红书图文" URL: https://example.com/tutorial - Network accessline 444
URL: https://example.com/tutorial
auc/skill_library/bundled/intent-driven-development/SKILL.md
- Network accessline 23
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/intent-driven-development/SKILL.md - Network accessline 24
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/intent-driven-development/SKILL.md division: specialized - Network accessline 25
source_url: https://github.com/affaan-m/ECC/blob/main/skills/intent-driven-development/SKILL.md
auc/skill_library/bundled/internal-comms/SKILL.md
- Network accessline 21
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md division: marketing - Network accessline 23
source_url: https://github.com/anthropics/skills/blob/main/skills/internal-comms/SKILL.md
auc/skill_library/bundled/inventory-demand-planning/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/inventory-demand-planning/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/inventory-demand-planning/SKILL.md division: design - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/inventory-demand-planning/SKILL.md
auc/skill_library/bundled/investor-materials/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-materials/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-materials/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-materials/SKILL.md
auc/skill_library/bundled/investor-outreach/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-outreach/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-outreach/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/investor-outreach/SKILL.md
auc/skill_library/bundled/ios-icon-gen/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ios-icon-gen/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ios-icon-gen/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ios-icon-gen/SKILL.md - Network accessline 156
Browse all: <https://icon-sets.iconify.design/>
auc/skill_library/bundled/iterative-retrieval/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/iterative-retrieval/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/iterative-retrieval/SKILL.md division: engineering - Network accessline 17
source_url: https://github.com/affaan-m/ECC/blob/main/skills/iterative-retrieval/SKILL.md - Network accessline 226
- [The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) - Subagent orchestration section
auc/skill_library/bundled/ito-basket-compare/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-basket-compare/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-basket-compare/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-basket-compare/SKILL.md - Access to secretsline 42
[Credential-related source omitted]
auc/skill_library/bundled/ito-data-atlas-agent/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-data-atlas-agent/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-data-atlas-agent/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-data-atlas-agent/SKILL.md - Access to secretsline 39
[Credential-related source omitted]
auc/skill_library/bundled/ito-market-intelligence/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-market-intelligence/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-market-intelligence/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-market-intelligence/SKILL.md - Access to secretsline 35
[Credential-related source omitted] - Access to secretsline 50
[Credential-related source omitted] - Access to secretsline 80
[Credential-related source omitted]
auc/skill_library/bundled/ito-trade-planner/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-trade-planner/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-trade-planner/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ito-trade-planner/SKILL.md - Access to secretsline 51
[Credential-related source omitted]
auc/skill_library/bundled/java-coding-standards/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/java-coding-standards/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/java-coding-standards/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/java-coding-standards/SKILL.md
auc/skill_library/bundled/jira-integration/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/jira-integration/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/jira-integration/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/jira-integration/SKILL.md - Network accessline 57
"args": ["mcp-atlassian==0.21.0"], "env": { "JIRA_URL": "https://YOUR_ORG.atlassian.net", - Network accessline 58
"env": { "JIRA_URL": "https://YOUR_ORG.atlassian.net", "JIRA_EMAIL": "your.email@example.com", - Network accessline 59
"JIRA_URL": "https://YOUR_ORG.atlassian.net", - Network accessline 70
[Credential-related source omitted] - Network accessline 71
1. Go to <https://id.atlassian.com/manage-profile/security/api-tokens> - Network accessline 81
| Variable | Description | |----------|-------------| | `JIRA_URL` | Your Jira instance URL (e.g., `https://yourorg.atlassian.net`) | - Network accessline 82
|----------|-------------| | `JIRA_URL` | Your Jira instance URL (e.g., `https://yourorg.atlassian.net`) | | `JIRA_EMAIL` | Your Atlassian account email | - Network accessline 83
| `JIRA_URL` | Your Jira instance URL (e.g., `https://yourorg.atlassian.net`) | - Network accessline 92
jira_curl() { printf 'user = "%s:%s"\n' "$JIRA_EMAIL" "$JIRA_API_TOKEN" | curl -s -K - "$@" - Network accessline 93
[Credential-related source omitted] - Access to secretsline 93
[Credential-related source omitted] - Network accessline 94
curl -s -K - "$@" - Network accessline 282
Pull request created: [PR Title](https://github.com/org/repo/pull/XXX) - Network accessline 283
[PR Title](https://github.com/org/repo/pull/XXX)
auc/skill_library/bundled/jpa-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/jpa-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/jpa-patterns/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/jpa-patterns/SKILL.md
auc/skill_library/bundled/json-canvas/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/json-canvas/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/json-canvas/SKILL.md division: custom - Network accessline 19
source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/json-canvas/SKILL.md - Network accessline 29
JSON Canvas is an open file format for infinite canvas data. Canvas files use the `.canvas` extension and contain valid JSON following the [JSON Canvas Spec 1.0](https://jsoncanvas.org/spec/1.0/). - Network accessline 151
"width": 400, "height": 200, "url": "https://obsidian.md" - Network accessline 152
"height": 200, "url": "https://obsidian.md" } - Network accessline 153
"url": "https://obsidian.md" - Network accessline 452
"width": 250, "height": 100, "url": "https://example.com/research" - Network accessline 453
"height": 100, "url": "https://example.com/research" }, - Network accessline 454
"url": "https://example.com/research" - Network accessline 672
- [JSON Canvas Spec 1.0](https://jsoncanvas.org/spec/1.0/) - Network accessline 673
- [JSON Canvas GitHub](https://github.com/obsidianmd/jsoncanvas)
auc/skill_library/bundled/karpathy-guidelines/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/multica-ai/andrej-karpathy-skills/blob/main/skills/karpathy-guidelines/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/multica-ai/andrej-karpathy-skills/blob/main/skills/karpathy-guidelines/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/multica-ai/andrej-karpathy-skills/blob/main/skills/karpathy-guidelines/SKILL.md - Network accessline 31
Behavioral guidelines to reduce common LLM coding mistakes, derived from [Andrej Karpathy's observations](https://x.com/karpathy/status/2015883857489522876) on LLM coding pitfalls.
auc/skill_library/bundled/knowledge-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/knowledge-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/knowledge-ops/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/knowledge-ops/SKILL.md
auc/skill_library/bundled/kotlin-coroutines-flows/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-coroutines-flows/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-coroutines-flows/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-coroutines-flows/SKILL.md - Network accessline 146
// Retry with exponential backoff fun fetchWithRetry(): Flow<Data> = flow { emit(api.fetch()) } - Network accessline 147
fun fetchWithRetry(): Flow<Data> = flow { emit(api.fetch()) } - Network accessline 223
try { _state.update { it.copy(isLoading = true) } val data = repository.fetch() - Network accessline 224
_state.update { it.copy(isLoading = true) } val data = repository.fetch() _state.update { it.copy(data = data) } - Network accessline 225
val data = repository.fetch()
auc/skill_library/bundled/kotlin-exposed-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-exposed-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-exposed-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-exposed-patterns/SKILL.md
auc/skill_library/bundled/kotlin-ktor-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-ktor-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-ktor-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-ktor-patterns/SKILL.md - Network accessline 667
[Credential-related source omitted] - Network accessline 668
[Credential-related source omitted] - Access to secretsline 668
[Credential-related source omitted] - Network accessline 669
issuer: "https://example.com" - Network accessline 670
audience: "https://example.com/api"
auc/skill_library/bundled/kotlin-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-patterns/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-patterns/SKILL.md - Network accessline 556
// Check for latest versions: https://kotlinlang.org/docs/releases.html
auc/skill_library/bundled/kotlin-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-testing/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kotlin-testing/SKILL.md
auc/skill_library/bundled/kubernetes-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kubernetes-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/kubernetes-patterns/SKILL.md division: operations - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/kubernetes-patterns/SKILL.md - Network accessline 350
> **Important:** Raw Kubernetes Secrets are only base64-encoded, not encrypted at rest unless your cluster has encryption configured. Use [Sealed Secrets](https://github.com/bitnami-labs/sealed-secrets) or [External Secrets Operator](https:
auc/skill_library/bundled/laravel-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-patterns/SKILL.md
auc/skill_library/bundled/laravel-plugin-discovery/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-plugin-discovery/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-plugin-discovery/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-plugin-discovery/SKILL.md - Network accessline 45
"laraplugins": { "type": "http", "url": "https://laraplugins.io/mcp/plugins" - Network accessline 46
"type": "http", "url": "https://laraplugins.io/mcp/plugins" } - Network accessline 47
"url": "https://laraplugins.io/mcp/plugins"
auc/skill_library/bundled/laravel-security/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-security/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-security/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-security/SKILL.md - Access to secretsline 49
[Credential-related source omitted] - Access to secretsline 66
[Credential-related source omitted] - Access to secretsline 67
[Credential-related source omitted] - Network accessline 499
// Fetch example fetch('/posts', { - Network accessline 500
fetch('/posts', { - Access to secretsline 818
[Credential-related source omitted] - Access to secretsline 851
[Credential-related source omitted] - Access to secretsline 852
[Credential-related source omitted]
auc/skill_library/bundled/laravel-tdd/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-tdd/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-tdd/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-tdd/SKILL.md - Network accessline 62
<?xml version="1.0" encoding="UTF-8"?> <phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" - Network accessline 63
<phpunit xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
auc/skill_library/bundled/laravel-verification/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-verification/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-verification/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/laravel-verification/SKILL.md
auc/skill_library/bundled/latency-critical-systems/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/latency-critical-systems/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/latency-critical-systems/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/latency-critical-systems/SKILL.md
auc/skill_library/bundled/law-to-markdown/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/law-to-markdown/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/law-to-markdown/SKILL.md division: specialized - Network accessline 18
source_url: https://github.com/anbeime/skill/blob/main/skills/legal-assistant-skills-main/law-to-markdown/SKILL.md - Network accessline 30
- 先检查是否已安装 `mineru-ocr` skill。 - 未安装:提示先安装 `mineru-ocr`,安装地址: `https://github.com/cat-xierluo/legal-skills/tree/main/skills/mineru-ocr` - Network accessline 31
- 未安装:提示先安装 `mineru-ocr`,安装地址: `https://github.com/cat-xierluo/legal-skills/tree/main/skills/mineru-ocr` - 已安装:优先调用 `mineru-ocr` 处理。 - Network accessline 32
`https://github.com/cat-xierluo/legal-skills/tree/main/skills/mineru-ocr`
auc/skill_library/bundled/lead-intelligence/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/lead-intelligence/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/lead-intelligence/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/lead-intelligence/SKILL.md - Access to secretsline 46
[Credential-related source omitted] - Access to secretsline 305
[Credential-related source omitted] - Access to secretsline 306
[Credential-related source omitted] - Access to secretsline 307
[Credential-related source omitted] - Access to secretsline 308
[Credential-related source omitted] - Access to secretsline 309
[Credential-related source omitted] - Access to secretsline 310
[Credential-related source omitted] - Access to secretsline 314
[Credential-related source omitted]
auc/skill_library/bundled/liquid-glass-design/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/liquid-glass-design/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/liquid-glass-design/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/liquid-glass-design/SKILL.md
auc/skill_library/bundled/literature-review/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-literature-review/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-literature-review/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-literature-review/SKILL.md
auc/skill_library/bundled/llm-trading-agent-security/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/llm-trading-agent-security/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/llm-trading-agent-security/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/llm-trading-agent-security/SKILL.md - Access to secretsline 137
[Credential-related source omitted] - Access to secretsline 139
[Credential-related source omitted] - Network accessline 151
PRIVATE_RPC = "https://rpc.flashbots.net"
auc/skill_library/bundled/logistics-exception-management/SKILL.md
- Network accessline 23
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/logistics-exception-management/SKILL.md - Network accessline 24
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/logistics-exception-management/SKILL.md division: specialized - Network accessline 25
source_url: https://github.com/affaan-m/ECC/blob/main/skills/logistics-exception-management/SKILL.md
auc/skill_library/bundled/loop-me/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/loop-me/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/loop-me/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/loop-me/SKILL.md
auc/skill_library/bundled/mailtrap-email-integration/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mailtrap-email-integration/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mailtrap-email-integration/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/mailtrap-email-integration/SKILL.md - Network accessline 51
// Sending via Mailtrap's Email API (production) async function sendEmail(to: string, subject: string, html: string) { const response = await fetch("https://send.api.mailtrap.io/api/send", { - Network accessline 52
async function sendEmail(to: string, subject: string, html: string) { const response = await fetch("https://send.api.mailtrap.io/api/send", { method: "POST", - Network accessline 53
const response = await fetch("https://send.api.mailtrap.io/api/send", { - Access to secretsline 56
[Credential-related source omitted] - Network accessline 75
// Same call, routed to Sandbox in non-production environments const MAILTRAP_ENDPOINT = process.env.NODE_ENV === "production" ? "https://send.api.mailtrap.io/api/send" - Network accessline 76
const MAILTRAP_ENDPOINT = process.env.NODE_ENV === "production" ? "https://send.api.mailtrap.io/api/send" : `https://sandbox.api.mailtrap.io/api/send/${process.env.MAILTRAP_INBOX_ID}`; - Network accessline 77
? "https://send.api.mailtrap.io/api/send" - Network accessline 78
: `https://sandbox.api.mailtrap.io/api/send/${process.env.MAILTRAP_INBOX_ID}`;
auc/skill_library/bundled/make-interfaces-feel-better/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/make-interfaces-feel-better/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/make-interfaces-feel-better/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/make-interfaces-feel-better/SKILL.md
auc/skill_library/bundled/manim-video/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/manim-video/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/manim-video/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/manim-video/SKILL.md
auc/skill_library/bundled/market-research/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/market-research/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/market-research/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/market-research/SKILL.md
auc/skill_library/bundled/marketing-campaign/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/marketing-campaign/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/marketing-campaign/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/marketing-campaign/SKILL.md
auc/skill_library/bundled/mcp-builder/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/mcp-builder/SKILL.md - Network accessline 64
Start with the sitemap to find relevant pages: `https://modelcontextprotocol.io/sitemap.xml` - Network accessline 66
Then fetch specific pages with `.md` suffix for markdown format (e.g., `https://modelcontextprotocol.io/specification/draft.md`). - Network accessline 83
**For TypeScript (recommended):** - **TypeScript SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md` - Network accessline 84
- **TypeScript SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md` - Network accessline 87
**For Python:** - **Python SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 88
- **Python SDK**: Use WebFetch to load `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 225
### Core MCP Documentation (Load First) - **MCP Protocol**: Start with sitemap at `https://modelcontextprotocol.io/sitemap.xml`, then fetch specific pages with `.md` suffix - Network accessline 226
- **MCP Protocol**: Start with sitemap at `https://modelcontextprotocol.io/sitemap.xml`, then fetch specific pages with `.md` suffix - Network accessline 234
### SDK Documentation (Load During Phase 1/2) - **Python SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 235
- **Python SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md` - Network accessline 236
- **TypeScript SDK**: Fetch from `https://raw.githubusercontent.com/modelcontextprotocol/typescript-sdk/main/README.md`
auc/skill_library/bundled/mcp-server-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mcp-server-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mcp-server-patterns/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/mcp-server-patterns/SKILL.md - Network accessline 42
- **Tools**: Actions the model can invoke (e.g. search, run a command). Register with `registerTool()` or `tool()` depending on SDK version. - **Resources**: Read-only data the model can fetch (e.g. file contents, API responses). Register w - Network accessline 43
- **Resources**: Read-only data the model can fetch (e.g. file contents, API responses). Register with `registerResource()` or `resource()`. Handlers typically receive a `uri` argument. - Network accessline 47
The Node/TypeScript SDK may expose `tool()` / `resource()` or `registerTool()` / `registerResource()`; the official SDK has changed over time. Always verify against the current [MCP docs](https://modelcontextprotocol.io) or Context7.
auc/skill_library/bundled/media-processor/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/media-processor/media-processor/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/media-processor/media-processor/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/media-processor/media-processor/SKILL.md
auc/skill_library/bundled/messages-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/messages-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/messages-ops/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/messages-ops/SKILL.md
auc/skill_library/bundled/migrate-to-shoehorn/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/migrate-to-shoehorn/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/migrate-to-shoehorn/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/migrate-to-shoehorn/SKILL.md
auc/skill_library/bundled/ml-adoption-playbook/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ml-adoption-playbook/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ml-adoption-playbook/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ml-adoption-playbook/SKILL.md
auc/skill_library/bundled/mle-workflow/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mle-workflow/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mle-workflow/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/mle-workflow/SKILL.md
auc/skill_library/bundled/moltbook/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/moltbook/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/moltbook/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/moltbook/SKILL.md - Network accessline 26
|------|-----| | **SKILL.md** (this file) | **HEARTBEAT.md** | `https://www.moltbook.com/heartbeat.md` | - Network accessline 27
| **SKILL.md** (this file) | **HEARTBEAT.md** | `https://www.moltbook.com/heartbeat.md` | | **MESSAGING.md** | `https://www.moltbook.com/messaging.md` | - Network accessline 28
| **HEARTBEAT.md** | `https://www.moltbook.com/heartbeat.md` | - Network accessline 29
| **MESSAGING.md** | `https://www.moltbook.com/messaging.md` | - Network accessline 30
| **package.json** (metadata) | `https://www.moltbook.com/skill.json` | - Network accessline 34
mkdir -p ~/.moltbot/skills/moltbook curl -s https://www.moltbook.com/skill.md > ~/.moltbot/skills/moltbook/SKILL.md - Network accessline 35
curl -s https://www.moltbook.com/skill.md > ~/.moltbot/skills/moltbook/SKILL.md - Network accessline 36
curl -s https://www.moltbook.com/heartbeat.md > ~/.moltbot/skills/moltbook/HEARTBEAT.md - Network accessline 37
curl -s https://www.moltbook.com/messaging.md > ~/.moltbot/skills/moltbook/MESSAGING.md - Network accessline 38
curl -s https://www.moltbook.com/skill.json > ~/.moltbot/skills/moltbook/package.json - Network accessline 43
**Base URL:** `https://www.moltbook.com/api/v1` - Network accessline 45
⚠<U+FE0F> **IMPORTANT:** - Always use `https://www.moltbook.com` (with `www`) - Network accessline 46
- Always use `https://www.moltbook.com` (with `www`) - Network accessline 56
curl -X POST https://www.moltbook.com/api/v1/agents/register \ - Network accessline 64
[Credential-related source omitted] - Network accessline 65
[Credential-related source omitted] - Access to secretsline 65
[Credential-related source omitted] - Network accessline 66
"claim_url": "https://www.moltbook.com/claim/moltbook_claim_xxx", - Access to secretsline 73
[Credential-related source omitted] - Access to secretsline 79
[Credential-related source omitted] - Access to secretsline 84
[Credential-related source omitted] - Dangerous shell operationline 125
- rm -rf /, rm -rf ~, rm -rf * - Dangerous shell operationline 126
- sudo rm, sudo mv, sudo cp on system paths - Dangerous shell operationline 128
- chmod -R 777 /, chown -R on root or home - Network accessline 179
## Moltbook (every 4+ hours) If 4+ hours since last Moltbook check: 1. Fetch https://www.moltbook.com/heartbeat.md and follow it - Network accessline 180
If 4+ hours since last Moltbook check: 1. Fetch https://www.moltbook.com/heartbeat.md and follow it 2. Update lastMoltbookCheck timestamp in memory - Network accessline 181
1. Fetch https://www.moltbook.com/heartbeat.md and follow it - Network accessline 224
[Credential-related source omitted] - Access to secretsline 224
[Credential-related source omitted] - Access to secretsline 225
[Credential-related source omitted] - Network accessline 231
[Credential-related source omitted] - Access to secretsline 231
[Credential-related source omitted] - Access to secretsline 232
[Credential-related source omitted] - Network accessline 245
[Credential-related source omitted] - Access to secretsline 245
[Credential-related source omitted] - Access to secretsline 246
[Credential-related source omitted] - Network accessline 254
[Credential-related source omitted] - Access to secretsline 254
[Credential-related source omitted] - Network accessline 255
[Credential-related source omitted] - Access to secretsline 255
[Credential-related source omitted] - Network accessline 257
-d '{"submolt": "general", "title": "Interesting article", "url": "https://example.com"}' - Network accessline 263
[Credential-related source omitted] - Access to secretsline 263
[Credential-related source omitted] - Access to secretsline 264
[Credential-related source omitted] - Network accessline 272
[Credential-related source omitted] - Access to secretsline 272
[Credential-related source omitted] - Access to secretsline 273
[Credential-related source omitted] - Network accessline 278
[Credential-related source omitted] - Access to secretsline 278
[Credential-related source omitted] - Access to secretsline 279
[Credential-related source omitted] - Network accessline 285
[Credential-related source omitted] - Access to secretsline 285
[Credential-related source omitted] - Access to secretsline 286
[Credential-related source omitted] - Network accessline 292
[Credential-related source omitted] - Access to secretsline 292
[Credential-related source omitted] - Access to secretsline 293
[Credential-related source omitted] - Network accessline 303
[Credential-related source omitted] - Access to secretsline 303
[Credential-related source omitted] - Access to secretsline 304
[Credential-related source omitted] - Network accessline 312
[Credential-related source omitted] - Access to secretsline 312
[Credential-related source omitted] - Access to secretsline 313
[Credential-related source omitted] - Network accessline 321
[Credential-related source omitted] - Access to secretsline 321
[Credential-related source omitted] - Access to secretsline 322
[Credential-related source omitted] - Network accessline 334
[Credential-related source omitted] - Access to secretsline 334
[Credential-related source omitted] - Access to secretsline 335
[Credential-related source omitted] - Network accessline 341
[Credential-related source omitted] - Access to secretsline 341
[Credential-related source omitted] - Access to secretsline 342
[Credential-related source omitted] - Network accessline 348
[Credential-related source omitted] - Access to secretsline 348
[Credential-related source omitted] - Access to secretsline 349
[Credential-related source omitted] - Network accessline 359
[Credential-related source omitted] - Access to secretsline 359
[Credential-related source omitted] - Access to secretsline 360
[Credential-related source omitted] - Network accessline 368
[Credential-related source omitted] - Access to secretsline 368
[Credential-related source omitted] - Access to secretsline 369
[Credential-related source omitted] - Network accessline 375
[Credential-related source omitted] - Access to secretsline 375
[Credential-related source omitted] - Access to secretsline 376
[Credential-related source omitted] - Network accessline 382
[Credential-related source omitted] - Access to secretsline 382
[Credential-related source omitted] - Access to secretsline 383
[Credential-related source omitted] - Network accessline 389
[Credential-related source omitted] - Access to secretsline 389
[Credential-related source omitted] - Access to secretsline 390
[Credential-related source omitted] - Network accessline 431
[Credential-related source omitted] - Access to secretsline 431
[Credential-related source omitted] - Access to secretsline 432
[Credential-related source omitted] - Network accessline 438
[Credential-related source omitted] - Access to secretsline 438
[Credential-related source omitted] - Access to secretsline 439
[Credential-related source omitted] - Network accessline 449
[Credential-related source omitted] - Access to secretsline 449
[Credential-related source omitted] - Access to secretsline 450
[Credential-related source omitted] - Network accessline 474
[Credential-related source omitted] - Access to secretsline 474
[Credential-related source omitted] - Access to secretsline 475
[Credential-related source omitted] - Network accessline 486
[Credential-related source omitted] - Access to secretsline 486
[Credential-related source omitted] - Access to secretsline 487
[Credential-related source omitted] - Network accessline 555
[Credential-related source omitted] - Access to secretsline 555
[Credential-related source omitted] - Access to secretsline 556
[Credential-related source omitted] - Network accessline 562
[Credential-related source omitted] - Access to secretsline 562
[Credential-related source omitted] - Access to secretsline 563
[Credential-related source omitted] - Network accessline 581
"x_handle": "someuser", "x_name": "Some User", "x_avatar": "https://pbs.twimg.com/...", - Network accessline 582
"x_name": "Some User", "x_avatar": "https://pbs.twimg.com/...", "x_bio": "Building cool stuff", - Network accessline 583
"x_avatar": "https://pbs.twimg.com/...", - Network accessline 601
[Credential-related source omitted] - Access to secretsline 601
[Credential-related source omitted] - Access to secretsline 602
[Credential-related source omitted] - Network accessline 612
[Credential-related source omitted] - Access to secretsline 612
[Credential-related source omitted] - Access to secretsline 613
[Credential-related source omitted] - Network accessline 622
[Credential-related source omitted] - Access to secretsline 622
[Credential-related source omitted] - Access to secretsline 623
[Credential-related source omitted] - Network accessline 642
[Credential-related source omitted] - Access to secretsline 642
[Credential-related source omitted] - Access to secretsline 643
[Credential-related source omitted] - Network accessline 649
[Credential-related source omitted] - Access to secretsline 649
[Credential-related source omitted] - Access to secretsline 650
[Credential-related source omitted] - Network accessline 656
[Credential-related source omitted] - Access to secretsline 656
[Credential-related source omitted] - Access to secretsline 657
[Credential-related source omitted] - Network accessline 665
[Credential-related source omitted] - Access to secretsline 665
[Credential-related source omitted] - Access to secretsline 666
[Credential-related source omitted] - Network accessline 674
[Credential-related source omitted] - Access to secretsline 674
[Credential-related source omitted] - Access to secretsline 675
[Credential-related source omitted] - Network accessline 685
[Credential-related source omitted] - Access to secretsline 685
[Credential-related source omitted] - Access to secretsline 686
[Credential-related source omitted] - Network accessline 694
[Credential-related source omitted] - Access to secretsline 694
[Credential-related source omitted] - Access to secretsline 695
[Credential-related source omitted] - Network accessline 703
[Credential-related source omitted] - Access to secretsline 703
[Credential-related source omitted] - Access to secretsline 704
[Credential-related source omitted] - Network accessline 714
# Get your personalized feed (subscribed submolts + followed moltys) curl "https://www.moltbook.com/api/v1/feed?sort=new&limit=10" \ - Network accessline 715
[Credential-related source omitted] - Access to secretsline 715
[Credential-related source omitted] - Access to secretsline 716
[Credential-related source omitted] - Network accessline 718
# Check latest posts globally curl "https://www.moltbook.com/api/v1/posts?sort=new&limit=10" \ - Network accessline 719
[Credential-related source omitted] - Access to secretsline 719
[Credential-related source omitted] - Access to secretsline 720
[Credential-related source omitted] - Network accessline 723
See [HEARTBEAT.md](https://www.moltbook.com/heartbeat.md) for what to check and when to notify your human. - Network accessline 754
Your profile: `https://www.moltbook.com/u/YourAgentName`
auc/skill_library/bundled/motion-advanced/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-advanced/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-advanced/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-advanced/SKILL.md
auc/skill_library/bundled/motion-foundations/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-foundations/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-foundations/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-foundations/SKILL.md
auc/skill_library/bundled/motion-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-patterns/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-patterns/SKILL.md
auc/skill_library/bundled/motion-ui/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-ui/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-ui/SKILL.md division: design - Network accessline 19
source_url: https://github.com/affaan-m/ECC/blob/main/skills/motion-ui/SKILL.md
auc/skill_library/bundled/multi-agent-meeting/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/multi-agent-meeting/multi-agent-meeting/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/multi-agent-meeting/multi-agent-meeting/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/multi-agent-meeting/multi-agent-meeting/SKILL.md
auc/skill_library/bundled/mysql-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mysql-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/mysql-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/mysql-patterns/SKILL.md
auc/skill_library/bundled/nanobanana-ppt-visualizer/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/nanobanana-ppt-visualizer/nanobanana-ppt-visualizer/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/nanobanana-ppt-visualizer/nanobanana-ppt-visualizer/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/nanobanana-ppt-visualizer/nanobanana-ppt-visualizer/SKILL.md - Dangerous shell operationline 37
sudo apt-get install ffmpeg
auc/skill_library/bundled/nanoclaw-repl/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nanoclaw-repl/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nanoclaw-repl/SKILL.md division: custom - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nanoclaw-repl/SKILL.md
auc/skill_library/bundled/nestjs-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nestjs-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nestjs-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nestjs-patterns/SKILL.md
auc/skill_library/bundled/netmiko-ssh-automation/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/netmiko-ssh-automation/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/netmiko-ssh-automation/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/netmiko-ssh-automation/SKILL.md - Access to secretsline 67
[Credential-related source omitted] - Access to secretsline 68
[Credential-related source omitted] - Access to secretsline 69
[Credential-related source omitted] - Access to secretsline 152
[Credential-related source omitted]
auc/skill_library/bundled/network-bgp-diagnostics/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-bgp-diagnostics/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-bgp-diagnostics/SKILL.md division: operations - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-bgp-diagnostics/SKILL.md
auc/skill_library/bundled/network-config-validation/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-config-validation/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-config-validation/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-config-validation/SKILL.md
auc/skill_library/bundled/network-interface-health/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-interface-health/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-interface-health/SKILL.md division: operations - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/network-interface-health/SKILL.md
auc/skill_library/bundled/nextjs-turbopack/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md - Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md division: custom - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md division: custom - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nextjs-turbopack/SKILL.md - Network accessline 67
Reference: [Next.js proxy docs](https://nextjs.org/docs/app/getting-started/proxy) - Network accessline 67
Reference: [Next.js proxy docs](https://nextjs.org/docs/app/getting-started/proxy)
auc/skill_library/bundled/nodejs-keccak256/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nodejs-keccak256/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nodejs-keccak256/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nodejs-keccak256/SKILL.md
auc/skill_library/bundled/nutrient-document-processing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nutrient-document-processing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nutrient-document-processing/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nutrient-document-processing/SKILL.md - Network accessline 29
Process documents with the [Nutrient DWS Processor API](https://www.nutrient.io/api/). Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms. - Network accessline 33
Get a free API key at **[nutrient.io](https://dashboard.nutrient.io/sign_up/?product=processor)** - Access to secretsline 36
[Credential-related source omitted] - Network accessline 39
All requests go to `https://api.nutrient.io/build` as multipart POST with an `instructions` JSON field. - Network accessline 46
# DOCX to PDF curl -X POST https://api.nutrient.io/build \ - Network accessline 47
[Credential-related source omitted] - Access to secretsline 47
[Credential-related source omitted] - Access to secretsline 48
[Credential-related source omitted] - Network accessline 53
# PDF to DOCX curl -X POST https://api.nutrient.io/build \ - Network accessline 54
[Credential-related source omitted] - Access to secretsline 54
[Credential-related source omitted] - Access to secretsline 55
[Credential-related source omitted] - Network accessline 60
# HTML to PDF curl -X POST https://api.nutrient.io/build \ - Network accessline 61
[Credential-related source omitted] - Access to secretsline 61
[Credential-related source omitted] - Access to secretsline 62
[Credential-related source omitted] - Network accessline 73
# Extract plain text curl -X POST https://api.nutrient.io/build \ - Network accessline 74
[Credential-related source omitted] - Access to secretsline 74
[Credential-related source omitted] - Access to secretsline 75
[Credential-related source omitted] - Network accessline 80
# Extract tables as Excel curl -X POST https://api.nutrient.io/build \ - Network accessline 81
[Credential-related source omitted] - Access to secretsline 81
[Credential-related source omitted] - Access to secretsline 82
[Credential-related source omitted] - Network accessline 91
# OCR to searchable PDF (supports 100+ languages) curl -X POST https://api.nutrient.io/build \ - Network accessline 92
[Credential-related source omitted] - Access to secretsline 92
[Credential-related source omitted] - Access to secretsline 93
[Credential-related source omitted] - Network accessline 99
Languages: Supports 100+ languages via ISO 639-2 codes (e.g., `eng`, `deu`, `fra`, `spa`, `jpn`, `kor`, `chi_sim`, `chi_tra`, `ara`, `hin`, `rus`). Full language names like `english` or `german` also work. See the [complete OCR language tab - Network accessline 104
# Pattern-based (SSN, email) curl -X POST https://api.nutrient.io/build \ - Network accessline 105
[Credential-related source omitted] - Access to secretsline 105
[Credential-related source omitted] - Access to secretsline 106
[Credential-related source omitted] - Network accessline 111
# Regex-based curl -X POST https://api.nutrient.io/build \ - Network accessline 112
[Credential-related source omitted] - Access to secretsline 112
[Credential-related source omitted] - Access to secretsline 113
[Credential-related source omitted] - Network accessline 124
[Credential-related source omitted] - Access to secretsline 124
[Credential-related source omitted] - Access to secretsline 125
[Credential-related source omitted] - Network accessline 134
# Self-signed CMS signature curl -X POST https://api.nutrient.io/build \ - Network accessline 135
[Credential-related source omitted] - Access to secretsline 135
[Credential-related source omitted] - Access to secretsline 136
[Credential-related source omitted] - Network accessline 145
[Credential-related source omitted] - Access to secretsline 145
[Credential-related source omitted] - Access to secretsline 146
[Credential-related source omitted] - Access to secretsline 163
[Credential-related source omitted] - Network accessline 183
- [API Playground](https://dashboard.nutrient.io/processor-api/playground/) - Network accessline 184
- [Full API Docs](https://www.nutrient.io/guides/dws-processor/) - Network accessline 185
- [npm MCP Server](https://www.npmjs.com/package/@nutrient-sdk/dws-mcp-server)
auc/skill_library/bundled/nuxt4-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nuxt4-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/nuxt4-patterns/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/nuxt4-patterns/SKILL.md - Network accessline 47
- Prefer `await useFetch()` for SSR-safe API reads in pages and components. It forwards server-fetched data into the Nuxt payload and avoids a second fetch on hydration. - Use `useAsyncData()` when the fetcher is not a simple `$fetch()` cal - Network accessline 48
- Use `useAsyncData()` when the fetcher is not a simple `$fetch()` call, when you need a custom key, or when you are composing multiple async sources. - Network accessline 49
- Give `useAsyncData()` a stable key for cache reuse and predictable refresh behavior. - Keep `useAsyncData()` handlers side-effect free. They can run during SSR and hydration. - Use `$fetch()` for user-triggered writes or client-only actio - Network accessline 50
- Keep `useAsyncData()` handlers side-effect free. They can run during SSR and hydration. - Use `$fetch()` for user-triggered writes or client-only actions, not top-level page data that should be hydrated from SSR. - Use `lazy: true`, `useL - Network accessline 51
- Use `$fetch()` for user-triggered writes or client-only actions, not top-level page data that should be hydrated from SSR. - Network accessline 59
const { data: article, status, error, refresh } = await useAsyncData( () => `article:${route.params.slug}`, () => $fetch(`/api/articles/${route.params.slug}`), - Network accessline 60
() => `article:${route.params.slug}`, () => $fetch(`/api/articles/${route.params.slug}`), ) - Network accessline 61
() => $fetch(`/api/articles/${route.params.slug}`),
auc/skill_library/bundled/obsidian-bases/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-bases/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-bases/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-bases/SKILL.md - Network accessline 666
- [Bases Syntax](https://help.obsidian.md/bases/syntax) - Network accessline 667
- [Functions](https://help.obsidian.md/bases/functions) - Network accessline 668
- [Views](https://help.obsidian.md/bases/views) - Network accessline 669
- [Formulas](https://help.obsidian.md/formulas)
auc/skill_library/bundled/obsidian-markdown/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-markdown/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-markdown/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/obsidian-skills-integrated/obsidian-markdown/SKILL.md - Network accessline 30
Obsidian uses a combination of Markdown flavors: - [CommonMark](https://commonmark.org/) - Network accessline 31
- [CommonMark](https://commonmark.org/) - Network accessline 32
- [GitHub Flavored Markdown](https://github.github.com/gfm/) - Network accessline 33
- [LaTeX](https://www.latex-project.org/) for math - Network accessline 131
[Display Text](Note%20Name.md) [Display Text](Note%20Name.md#Heading) [Display Text](https://example.com) - Network accessline 132
[Display Text](Note%20Name.md#Heading) [Display Text](https://example.com) [Note](obsidian://open?vault=VaultName&file=Note.md) - Network accessline 133
[Display Text](https://example.com) - Network accessline 160
 - Network accessline 161
 - Network accessline 621
[^1]: https://example.com/docs - Network accessline 632
- [Basic formatting syntax](https://help.obsidian.md/syntax) - Network accessline 633
- [Advanced formatting syntax](https://help.obsidian.md/advanced-syntax) - Network accessline 634
- [Obsidian Flavored Markdown](https://help.obsidian.md/obsidian-flavored-markdown) - Network accessline 635
- [Internal links](https://help.obsidian.md/links) - Network accessline 636
- [Embed files](https://help.obsidian.md/embeds) - Network accessline 637
- [Callouts](https://help.obsidian.md/callouts) - Network accessline 638
- [Properties](https://help.obsidian.md/properties)
auc/skill_library/bundled/obsidian-vault/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/obsidian-vault/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/obsidian-vault/SKILL.md division: custom - Network accessline 19
source_url: https://github.com/mattpocock/skills/blob/main/skills/personal/obsidian-vault/SKILL.md
auc/skill_library/bundled/openclaw-persona-forge/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/openclaw-persona-forge/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/openclaw-persona-forge/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/openclaw-persona-forge/SKILL.md
auc/skill_library/bundled/opensource-pipeline/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/opensource-pipeline/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/opensource-pipeline/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/opensource-pipeline/SKILL.md
auc/skill_library/bundled/orch-add-feature/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-add-feature/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-add-feature/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-add-feature/SKILL.md
auc/skill_library/bundled/orch-build-mvp/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-build-mvp/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-build-mvp/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-build-mvp/SKILL.md
auc/skill_library/bundled/orch-change-feature/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-change-feature/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-change-feature/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-change-feature/SKILL.md
auc/skill_library/bundled/orch-fix-defect/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-fix-defect/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-fix-defect/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-fix-defect/SKILL.md
auc/skill_library/bundled/orch-pipeline/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md division: specialized - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-pipeline/SKILL.md
auc/skill_library/bundled/orch-refine-code/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-refine-code/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-refine-code/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/orch-refine-code/SKILL.md
auc/skill_library/bundled/paper-analysis-assistant/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/paper-analysis-assistant/paper-analysis-assistant/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/paper-analysis-assistant/paper-analysis-assistant/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/paper-analysis-assistant/paper-analysis-assistant/SKILL.md - Network accessline 87
# 下载 PDF python scripts/download_pdf.py --url "https://arxiv.org/abs/2301.00001" --output ./user-data/paper.pdf - Network accessline 88
python scripts/download_pdf.py --url "https://arxiv.org/abs/2301.00001" --output ./user-data/paper.pdf
auc/skill_library/bundled/parallel-execution-optimizer/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/parallel-execution-optimizer/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/parallel-execution-optimizer/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/parallel-execution-optimizer/SKILL.md
auc/skill_library/bundled/pdf-processing-pro/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pdf-processing-pro/pdf-processing-pro/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pdf-processing-pro/pdf-processing-pro/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/pdf-processing-pro/pdf-processing-pro/SKILL.md
auc/skill_library/bundled/pdf/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md division: specialized - Network accessline 24
source_url: https://github.com/anthropics/skills/blob/main/skills/pdf/SKILL.md
auc/skill_library/bundled/perl-patterns/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-patterns/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-patterns/SKILL.md division: custom - Network accessline 19
source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-patterns/SKILL.md - Dangerous shell operationline 515
eval "require $module"; # Bad: code injection risk - Dangerous shell operationline 516
eval "use $module"; # Bad
auc/skill_library/bundled/perl-security/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-security/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-security/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-security/SKILL.md - Dangerous shell operationline 199
open my $fh, $path; # If $path = "|rm -rf /", runs command! - Dangerous shell operationline 260
system("grep -r '$pattern' /var/log/app/"); # If $pattern = "'; rm -rf / #" - Dangerous shell operationline 508
eval $user_code; # Remote code execution
auc/skill_library/bundled/perl-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/perl-testing/SKILL.md
auc/skill_library/bundled/pet-commerce-creator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pet-commerce-creator/pet-commerce-creator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pet-commerce-creator/pet-commerce-creator/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/pet-commerce-creator/pet-commerce-creator/SKILL.md - Network accessline 113
- 输出目录:./downloads(自动创建) - 示例流程: 1. 用户输入视频链接(如https://www.bilibili.com/video/BV1xx411c7mD) - Network accessline 114
- 示例流程: 1. 用户输入视频链接(如https://www.bilibili.com/video/BV1xx411c7mD) 2. 调用video_downloader.py下载视频 - Network accessline 115
1. 用户输入视频链接(如https://www.bilibili.com/video/BV1xx411c7mD) - Network accessline 116
2. 调用video_downloader.py下载视频 ```bash python scripts/video_downloader.py download "https://www.bilibili.com/video/BV1xx411c7mD" - Network accessline 117
```bash python scripts/video_downloader.py download "https://www.bilibili.com/video/BV1xx411c7mD" ``` - Network accessline 118
python scripts/video_downloader.py download "https://www.bilibili.com/video/BV1xx411c7mD"
auc/skill_library/bundled/plan-canvas/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-canvas/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-canvas/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-canvas/SKILL.md - Network accessline 34
Inspired by [lavish-axi](https://github.com/kunchenguid/lavish-axi); rebuilt
auc/skill_library/bundled/plan-orchestrate/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-orchestrate/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-orchestrate/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/plan-orchestrate/SKILL.md - Access to secretsline 266
[Credential-related source omitted]
auc/skill_library/bundled/plankton-code-quality/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plankton-code-quality/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/plankton-code-quality/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/plankton-code-quality/SKILL.md
auc/skill_library/bundled/poetry-music-visual/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/poetry-music-visual/poetry-music-visual/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/poetry-music-visual/poetry-music-visual/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/poetry-music-visual/poetry-music-visual/SKILL.md
auc/skill_library/bundled/pop-up-book-illustration/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pop-up-book-illustration/pop-up-book-illustration/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pop-up-book-illustration/pop-up-book-illustration/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/pop-up-book-illustration/pop-up-book-illustration/SKILL.md
auc/skill_library/bundled/postgres-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/postgres-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/postgres-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/postgres-patterns/SKILL.md
auc/skill_library/bundled/ppt-generator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-generator/ppt-generator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-generator/ppt-generator/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-generator/ppt-generator/SKILL.md
auc/skill_library/bundled/ppt-roadshow-generator/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-roadshow-generator/ppt-roadshow-generator/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-roadshow-generator/ppt-roadshow-generator/SKILL.md division: custom - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/ppt-roadshow-generator/ppt-roadshow-generator/SKILL.md - Dangerous shell operationline 38
sudo apt-get install ffmpeg
auc/skill_library/bundled/pptx-generator/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pptx-generator/pptx-generator/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/pptx-generator/pptx-generator/SKILL.md division: custom - Network accessline 18
source_url: https://github.com/anbeime/skill/blob/main/skills/pptx-generator/pptx-generator/SKILL.md
auc/skill_library/bundled/pptx/SKILL.md
- Network accessline 25
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md - Network accessline 26
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md division: specialized - Network accessline 27
source_url: https://github.com/anthropics/skills/blob/main/skills/pptx/SKILL.md
auc/skill_library/bundled/prediction-market-oracle-research/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-oracle-research/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-oracle-research/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-oracle-research/SKILL.md
auc/skill_library/bundled/prediction-market-risk-review/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-risk-review/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-risk-review/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/prediction-market-risk-review/SKILL.md - Access to secretsline 59
[Credential-related source omitted]
auc/skill_library/bundled/prisma-patterns/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prisma-patterns/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prisma-patterns/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/prisma-patterns/SKILL.md - Access to secretsline 259
[Credential-related source omitted]
auc/skill_library/bundled/product-capability/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-capability/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-capability/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-capability/SKILL.md
auc/skill_library/bundled/product-lens/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-lens/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-lens/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/product-lens/SKILL.md
auc/skill_library/bundled/product-manager-toolkit/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-manager-toolkit/product-manager-toolkit/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-manager-toolkit/product-manager-toolkit/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/product-manager-toolkit/product-manager-toolkit/SKILL.md
auc/skill_library/bundled/product-marketing-copywriter/SKILL.md
- Network accessline 11
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-marketing-copywriter/product-marketing-copywriter/SKILL.md - Network accessline 12
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-marketing-copywriter/product-marketing-copywriter/SKILL.md division: marketing - Network accessline 13
source_url: https://github.com/anbeime/skill/blob/main/skills/product-marketing-copywriter/product-marketing-copywriter/SKILL.md
auc/skill_library/bundled/product-video-creator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-video-creator/product-video-creator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/product-video-creator/product-video-creator/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/product-video-creator/product-video-creator/SKILL.md
auc/skill_library/bundled/production-audit/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-audit/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-audit/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-audit/SKILL.md
auc/skill_library/bundled/production-scheduling/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-scheduling/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-scheduling/SKILL.md division: custom - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/production-scheduling/SKILL.md
auc/skill_library/bundled/project-flow-ops/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/project-flow-ops/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/project-flow-ops/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/project-flow-ops/SKILL.md
auc/skill_library/bundled/prompt-optimizer/SKILL.md
- Network accessline 25
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prompt-optimizer/SKILL.md - Network accessline 26
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/prompt-optimizer/SKILL.md division: engineering - Network accessline 27
source_url: https://github.com/affaan-m/ECC/blob/main/skills/prompt-optimizer/SKILL.md
auc/skill_library/bundled/prototype/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/prototype/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/prototype/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/prototype/SKILL.md
auc/skill_library/bundled/pubmed-database/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-pubmed-database/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-pubmed-database/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-pubmed-database/SKILL.md - Network accessline 128
BASE = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils" - Access to secretsline 138
[Credential-related source omitted] - Access to secretsline 140
[Credential-related source omitted] - Access to secretsline 141
[Credential-related source omitted] - Access to secretsline 142
[Credential-related source omitted] - Network accessline 144
response = requests.get(f"{BASE}/esearch.fcgi", params=params, timeout=30) - Network accessline 190
- [PubMed help](https://pubmed.ncbi.nlm.nih.gov/help/) - Network accessline 191
- [NCBI E-utilities documentation](https://www.ncbi.nlm.nih.gov/books/NBK25501/) - Network accessline 192
- [NCBI API key guidance](https://support.nlm.nih.gov/kbArticle/?pn=KA-05317)
auc/skill_library/bundled/python-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-patterns/SKILL.md - Network accessline 470
"""Fetch a URL (I/O-bound operation).""" import urllib.request with urllib.request.urlopen(url) as response: - Network accessline 471
import urllib.request with urllib.request.urlopen(url) as response: return response.read().decode() - Network accessline 472
with urllib.request.urlopen(url) as response: - Network accessline 509
"""Fetch a URL asynchronously.""" import aiohttp async with aiohttp.ClientSession() as session: - Network accessline 510
import aiohttp async with aiohttp.ClientSession() as session: async with session.get(url) as response: - Network accessline 511
async with aiohttp.ClientSession() as session:
auc/skill_library/bundled/python-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/python-testing/SKILL.md - Network accessline 342
@pytest.mark.integration def test_api_integration(): response = requests.get("https://api.example.com") - Network accessline 343
def test_api_integration(): response = requests.get("https://api.example.com") assert response.status_code == 200 - Network accessline 344
response = requests.get("https://api.example.com") - Access to secretsline 477
[Credential-related source omitted] - Access to secretsline 483
[Credential-related source omitted]
auc/skill_library/bundled/pytorch-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/pytorch-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/pytorch-patterns/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/pytorch-patterns/SKILL.md
auc/skill_library/bundled/quality-nonconformance/SKILL.md
- Network accessline 25
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quality-nonconformance/SKILL.md - Network accessline 26
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quality-nonconformance/SKILL.md division: custom - Network accessline 27
source_url: https://github.com/affaan-m/ECC/blob/main/skills/quality-nonconformance/SKILL.md - Network accessline 184
| Stage | Trigger | Action | Timeline | |---|---|---|---| | Level 1: SCAR issued | Single significant NC or 3+ minor NCs in 90 days | Formal SCAR requiring 8D response | 10 days for response, 30 for implementation | - Network accessline 185
|---|---|---|---| | Level 1: SCAR issued | Single significant NC or 3+ minor NCs in 90 days | Formal SCAR requiring 8D response | 10 days for response, 30 for implementation | | Level 2: Supplier on watch | SCAR not responded to in time, or - Network accessline 186
| Level 1: SCAR issued | Single significant NC or 3+ minor NCs in 90 days | Formal SCAR requiring 8D response | 10 days for response, 30 for implementation |
auc/skill_library/bundled/quarkus-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-patterns/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-patterns/SKILL.md
auc/skill_library/bundled/quarkus-security/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-security/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-security/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-security/SKILL.md - Network accessline 74
mp.jwt.verify.publickey.location=publicKey.pem mp.jwt.verify.issuer=https://auth.example.com - Network accessline 75
mp.jwt.verify.issuer=https://auth.example.com - Network accessline 77
# OIDC quarkus.oidc.auth-server-url=https://auth.example.com/realms/myrealm - Network accessline 78
quarkus.oidc.auth-server-url=https://auth.example.com/realms/myrealm - Access to secretsline 80
[Credential-related source omitted] - Network accessline 318
# application.properties quarkus.http.cors=true quarkus.http.cors.origins=https://app.example.com,https://admin.example.com - Network accessline 319
quarkus.http.cors=true quarkus.http.cors.origins=https://app.example.com,https://admin.example.com quarkus.http.cors.methods=GET,POST,PUT,DELETE - Network accessline 320
quarkus.http.cors.origins=https://app.example.com,https://admin.example.com - Access to secretsline 336
[Credential-related source omitted] - Network accessline 338
# Or use Vault quarkus.vault.url=https://vault.example.com - Network accessline 339
quarkus.vault.url=https://vault.example.com
auc/skill_library/bundled/quarkus-tdd/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-tdd/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-tdd/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-tdd/SKILL.md
auc/skill_library/bundled/quarkus-verification/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-verification/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-verification/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/quarkus-verification/SKILL.md - Network accessline 65
[Credential-related source omitted] - Access to secretsline 65
[Credential-related source omitted] - Network accessline 66
-Dsonar.projectKey=my-quarkus-project \ -Dsonar.host.url=http://localhost:9000 \ -Dsonar.login=${SONAR_TOKEN} - Network accessline 67
-Dsonar.host.url=http://localhost:9000 \ - Access to secretsline 68
[Credential-related source omitted] - Network accessline 211
docker run -t owasp/zap2docker-stable zap-api-scan.py \ -t http://localhost:8080/q/openapi \ - Network accessline 212
-t http://localhost:8080/q/openapi \ - Network accessline 241
# Run basic smoke tests curl http://localhost:8080/q/health/live - Network accessline 242
curl http://localhost:8080/q/health/live - Network accessline 243
curl http://localhost:8080/q/health/ready - Network accessline 276
export default function () { const res = http.get('http://localhost:8080/api/markets'); - Network accessline 277
const res = http.get('http://localhost:8080/api/markets'); - Network accessline 301
# Liveness curl http://localhost:8080/q/health/live - Network accessline 302
curl http://localhost:8080/q/health/live - Network accessline 304
# Readiness curl http://localhost:8080/q/health/ready - Network accessline 305
curl http://localhost:8080/q/health/ready - Network accessline 307
# All health checks curl http://localhost:8080/q/health - Network accessline 308
curl http://localhost:8080/q/health - Network accessline 310
# Metrics (if enabled) curl http://localhost:8080/q/metrics - Network accessline 311
curl http://localhost:8080/q/metrics - Network accessline 360
# List all config sources curl http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config - Network accessline 361
curl http://localhost:8080/q/dev/io.quarkus.quarkus-vertx-http/config - Network accessline 383
curl http://localhost:8080/q/openapi -o openapi.json
auc/skill_library/bundled/qwen3-asr-assistant/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-asr-assistant/qwen3-asr-assistant/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-asr-assistant/qwen3-asr-assistant/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-asr-assistant/qwen3-asr-assistant/SKILL.md - Access to secretsline 263
[Credential-related source omitted]
auc/skill_library/bundled/qwen3-tts-local/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-tts-local/qwen3-tts-local/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-tts-local/qwen3-tts-local/SKILL.md division: custom - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/qwen3-tts-local/qwen3-tts-local/SKILL.md - Access to secretsline 148
[Credential-related source omitted]
auc/skill_library/bundled/ralphinho-rfc-pipeline/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ralphinho-rfc-pipeline/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ralphinho-rfc-pipeline/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ralphinho-rfc-pipeline/SKILL.md - Network accessline 29
Inspired by [humanplane](https://github.com/humanplane) style RFC decomposition patterns and multi-unit orchestration workflows.
auc/skill_library/bundled/react-native-patterns/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-native-patterns/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-native-patterns/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-native-patterns/SKILL.md - Access to secretsline 206
[Credential-related source omitted] - Access to secretsline 207
[Credential-related source omitted] - Access to secretsline 315
[Credential-related source omitted]
auc/skill_library/bundled/react-patterns/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md division: design - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md division: design - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-patterns/SKILL.md - Network accessline 191
| Need | Tool | |---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 191
| Need | Tool | |---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 191
| Need | Tool | |---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 192
|---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | | Client-side cache + mutations + invalidation | TanStack Query | - Network accessline 192
|---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | | Client-side cache + mutations + invalidation | TanStack Query | - Network accessline 192
|---|---| | Per-request data in Next.js App Router | RSC `await fetch()` | | Client-side cache + mutations + invalidation | TanStack Query | - Network accessline 193
| Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 193
| Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 193
| Per-request data in Next.js App Router | RSC `await fetch()` | - Network accessline 195
| Lightweight client cache + revalidation | SWR | | Real-time subscriptions | Server-Sent Events, WebSockets, or the lib's subscription API | | One-off fire-and-forget | `fetch()` in an event handler | - Network accessline 195
| Lightweight client cache + revalidation | SWR | | Real-time subscriptions | Server-Sent Events, WebSockets, or the lib's subscription API | | One-off fire-and-forget | `fetch()` in an event handler | - Network accessline 195
| Lightweight client cache + revalidation | SWR | | Real-time subscriptions | Server-Sent Events, WebSockets, or the lib's subscription API | | One-off fire-and-forget | `fetch()` in an event handler | - Network accessline 197
| One-off fire-and-forget | `fetch()` in an event handler | - Network accessline 197
| One-off fire-and-forget | `fetch()` in an event handler | - Network accessline 197
| One-off fire-and-forget | `fetch()` in an event handler |
auc/skill_library/bundled/react-performance/SKILL.md
- Network accessline 2
name: react-performance description: React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). - Network accessline 2
name: react-performance description: React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). - Network accessline 3
description: React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle - Network accessline 3
description: React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle - Network accessline 4
Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). - Network accessline 4
Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). - Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md - Network accessline 21
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md division: design - Network accessline 22
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md division: design - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md - Network accessline 23
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-performance/SKILL.md - Network accessline 32
Performance optimization patterns for React 18/19 and Next.js, adapted from [Vercel Labs `react-best-practices`](https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices) (MIT, v1.0.0). This skill organizes rules by - Network accessline 32
Performance optimization patterns for React 18/19 and Next.js, adapted from [Vercel Labs `react-best-practices`](https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices) (MIT, v1.0.0). This skill organizes rules by - Network accessline 167
Next.js 13.5+ has [Optimize Package Imports](https://nextjs.org/docs/app/api-reference/next-config-js/optimizePackageImports) that automates this for listed packages — use it; manual direct imports still required for non-listed libs. - Network accessline 167
Next.js 13.5+ has [Optimize Package Imports](https://nextjs.org/docs/app/api-reference/next-config-js/optimizePackageImports) that automates this for listed packages — use it; manual direct imports still required for non-listed libs. - Network accessline 509
import { preload, preconnect } from "react-dom"; preload("/api/critical", { as: "fetch" }); preconnect("https://api.example.com"); - Network accessline 509
import { preload, preconnect } from "react-dom"; preload("/api/critical", { as: "fetch" }); preconnect("https://api.example.com"); - Network accessline 511
preconnect("https://api.example.com"); - Network accessline 511
preconnect("https://api.example.com"); - Network accessline 595
Adapted from Vercel Labs `react-best-practices` skill (MIT License, copyright Vercel Engineering, v1.0.0 January 2026). Source: [https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices](https://github.com/vercel-la - Network accessline 595
Adapted from Vercel Labs `react-best-practices` skill (MIT License, copyright Vercel Engineering, v1.0.0 January 2026). Source: [https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices](https://github.com/vercel-la
auc/skill_library/bundled/react-testing/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md - Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md division: design - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md division: design - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/react-testing/SKILL.md
auc/skill_library/bundled/receiving-code-review/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/receiving-code-review/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/receiving-code-review/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/obra/superpowers/blob/main/skills/receiving-code-review/SKILL.md
auc/skill_library/bundled/recsys-pipeline-architect/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/recsys-pipeline-architect/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/recsys-pipeline-architect/SKILL.md division: marketing - Network accessline 24
source_url: https://github.com/affaan-m/ECC/blob/main/skills/recsys-pipeline-architect/SKILL.md - Network accessline 33
A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. It encodes the **six-stage pattern** — Source → Hydrator → Filter → Scorer → Selector → SideEffect — popularized by xAI's open-sourced [For You a - Network accessline 35
Upstream: <https://github.com/mturac/recsys-pipeline-architect> - Network accessline 127
The upstream repository at <https://github.com/mturac/recsys-pipeline-architect> ships:
auc/skill_library/bundled/recursive-decision-ledger/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/recursive-decision-ledger/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/recursive-decision-ledger/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/recursive-decision-ledger/SKILL.md
auc/skill_library/bundled/redis-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/redis-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/redis-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/redis-patterns/SKILL.md
auc/skill_library/bundled/regex-vs-llm-structured-text/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/regex-vs-llm-structured-text/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/regex-vs-llm-structured-text/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/regex-vs-llm-structured-text/SKILL.md
auc/skill_library/bundled/remotion-video-creation/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/remotion-video-creation/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/remotion-video-creation/SKILL.md division: design - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/remotion-video-creation/SKILL.md
auc/skill_library/bundled/remotion-video-enhancer/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/remotion-video-enhancer/remotion-video-enhancer/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/remotion-video-enhancer/remotion-video-enhancer/SKILL.md division: custom - Network accessline 18
source_url: https://github.com/anbeime/skill/blob/main/skills/remotion-video-enhancer/remotion-video-enhancer/SKILL.md - Dangerous shell operationline 38
sudo apt-get install ffmpeg
auc/skill_library/bundled/repo-scan/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/repo-scan/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/repo-scan/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/repo-scan/SKILL.md - Network accessline 42
git init repo-scan cd repo-scan git remote add origin https://github.com/haibindev/repo-scan.git - Network accessline 43
cd repo-scan git remote add origin https://github.com/haibindev/repo-scan.git git fetch --depth 1 origin 2742664 - Network accessline 44
git remote add origin https://github.com/haibindev/repo-scan.git git fetch --depth 1 origin 2742664 git checkout --detach FETCH_HEAD - Network accessline 97
- [GitHub Repository](https://github.com/haibindev/repo-scan)
auc/skill_library/bundled/requesting-code-review/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/requesting-code-review/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/requesting-code-review/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/obra/superpowers/blob/main/skills/requesting-code-review/SKILL.md
auc/skill_library/bundled/research-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/research-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/research-ops/SKILL.md division: product - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/research-ops/SKILL.md
auc/skill_library/bundled/research/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/research/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/research/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/research/SKILL.md
auc/skill_library/bundled/resolving-merge-conflicts/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/resolving-merge-conflicts/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/resolving-merge-conflicts/SKILL.md division: engineering - Network accessline 16
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/resolving-merge-conflicts/SKILL.md
auc/skill_library/bundled/returns-reverse-logistics/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/returns-reverse-logistics/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/returns-reverse-logistics/SKILL.md division: specialized - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/returns-reverse-logistics/SKILL.md
auc/skill_library/bundled/rules-distill/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rules-distill/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rules-distill/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/rules-distill/SKILL.md
auc/skill_library/bundled/rust-patterns/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-patterns/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-patterns/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-patterns/SKILL.md
auc/skill_library/bundled/rust-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-testing/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/rust-testing/SKILL.md
auc/skill_library/bundled/safety-guard/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/safety-guard/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/safety-guard/SKILL.md division: engineering - Network accessline 18
source_url: https://github.com/affaan-m/ECC/blob/main/skills/safety-guard/SKILL.md - Dangerous shell operationline 44
- rm -rf (especially /, ~, or project root) - Dangerous shell operationline 51
- chmod 777 - Dangerous shell operationline 52
- sudo rm
auc/skill_library/bundled/santa-method/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/santa-method/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/santa-method/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/santa-method/SKILL.md
auc/skill_library/bundled/scaffold-exercises/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/scaffold-exercises/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/scaffold-exercises/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/scaffold-exercises/SKILL.md
auc/skill_library/bundled/scholar-evaluation/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-scholar-evaluation/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-scholar-evaluation/SKILL.md division: product - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-thinking-scholar-evaluation/SKILL.md
auc/skill_library/bundled/search-first/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/search-first/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/search-first/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/search-first/SKILL.md
auc/skill_library/bundled/security-bounty-hunter/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-bounty-hunter/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-bounty-hunter/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-bounty-hunter/SKILL.md - Dangerous shell operationline 61
- `eval()` or `exec()` in CLI-only tooling
auc/skill_library/bundled/security-review/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-review/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-review/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-review/SKILL.md - Access to secretsline 54
[Credential-related source omitted] - Access to secretsline 59
[Credential-related source omitted] - Network accessline 249
img-src 'self' data: https:; font-src 'self'; connect-src 'self' https://api.example.com; - Network accessline 250
font-src 'self'; connect-src 'self' https://api.example.com; `.replace(/\s{2,}/g, ' ').trim() - Network accessline 251
connect-src 'self' https://api.example.com; - Network accessline 457
// Test authentication test('requires authentication', async () => { const response = await fetch('/api/protected') - Network accessline 458
test('requires authentication', async () => { const response = await fetch('/api/protected') expect(response.status).toBe(401) - Network accessline 459
const response = await fetch('/api/protected') - Network accessline 463
// Test authorization test('requires admin role', async () => { const response = await fetch('/api/admin', { - Network accessline 464
[Credential-related source omitted] - Network accessline 465
const response = await fetch('/api/admin', { - Network accessline 471
// Test input validation test('rejects invalid input', async () => { const response = await fetch('/api/users', { - Network accessline 472
test('rejects invalid input', async () => { const response = await fetch('/api/users', { method: 'POST', - Network accessline 473
const response = await fetch('/api/users', { - Network accessline 481
test('enforces rate limits', async () => { const requests = Array(101).fill(null).map(() => fetch('/api/endpoint') - Network accessline 482
const requests = Array(101).fill(null).map(() => fetch('/api/endpoint') ) - Network accessline 483
fetch('/api/endpoint') - Network accessline 517
- [OWASP Top 10](https://owasp.org/www-project-top-ten/) - Network accessline 518
- [Next.js Security](https://nextjs.org/docs/security) - Network accessline 519
- [Supabase Security](https://supabase.com/docs/guides/auth) - Network accessline 520
- [Web Security Academy](https://portswigger.net/web-security)
auc/skill_library/bundled/security-scan/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-scan/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-scan/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/security-scan/SKILL.md - Network accessline 30
Audit your Claude Code configuration for security issues using [AgentShield](https://github.com/affaan-m/agentshield). - Access to secretsline 116
[Credential-related source omitted] - Access to secretsline 117
[Credential-related source omitted] - Network accessline 185
- **GitHub**: [github.com/affaan-m/agentshield](https://github.com/affaan-m/agentshield) - Network accessline 186
- **npm**: [npmjs.com/package/ecc-agentshield](https://www.npmjs.com/package/ecc-agentshield)
auc/skill_library/bundled/seo/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/seo/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/seo/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/seo/SKILL.md - Network accessline 137
{ "@context": "https://schema.org", - Network accessline 138
"@context": "https://schema.org",
auc/skill_library/bundled/setup-matt-pocock-skills/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/setup-matt-pocock-skills/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/setup-matt-pocock-skills/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/setup-matt-pocock-skills/SKILL.md - Network accessline 64
- **GitHub** — issues live in the repo's GitHub Issues (uses the `gh` CLI) - **GitLab** — issues live in the repo's GitLab Issues (uses the [`glab`](https://gitlab.com/gitlab-org/cli) CLI) - Network accessline 65
- **GitLab** — issues live in the repo's GitLab Issues (uses the [`glab`](https://gitlab.com/gitlab-org/cli) CLI)
auc/skill_library/bundled/setup-pre-commit/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/setup-pre-commit/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/setup-pre-commit/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/misc/setup-pre-commit/SKILL.md
auc/skill_library/bundled/skill-comply/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-comply/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-comply/SKILL.md division: specialized - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-comply/SKILL.md
auc/skill_library/bundled/skill-creator/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/skill-creator/SKILL.md
auc/skill_library/bundled/skill-scout/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-scout/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-scout/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-scout/SKILL.md
auc/skill_library/bundled/skill-stocktake/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-stocktake/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-stocktake/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/skill-stocktake/SKILL.md
auc/skill_library/bundled/slack-gif-creator/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/anthropics/skills/blob/main/skills/slack-gif-creator/SKILL.md
auc/skill_library/bundled/social-graph-ranker/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-graph-ranker/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-graph-ranker/SKILL.md division: operations - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-graph-ranker/SKILL.md
auc/skill_library/bundled/social-publisher/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-publisher/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-publisher/SKILL.md division: marketing - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/social-publisher/SKILL.md - Network accessline 31
Connects Claude Code to [SocialClaw](https://getsocialclaw.com) for agent-driven social media publishing across 13 platforms through a single workspace API key. - Network accessline 44
# Required: workspace API key from https://getsocialclaw.com/dashboard - Access to secretsline 45
[Credential-related source omitted] - Network accessline 47
[Credential-related source omitted] - Access to secretsline 48
[Credential-related source omitted] - Network accessline 49
curl -sS -K - https://getsocialclaw.com/v1/keys/validate - Access to secretsline 99
[Credential-related source omitted] - Access to secretsline 140
[Credential-related source omitted] - Network accessline 150
- npm: `npm install -g socialclaw@0.1.12` - Dashboard: [SocialClaw dashboard](https://getsocialclaw.com/dashboard) - Network accessline 151
- Dashboard: [SocialClaw dashboard](https://getsocialclaw.com/dashboard)
auc/skill_library/bundled/springboot-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-patterns/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-patterns/SKILL.md
auc/skill_library/bundled/springboot-security/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-security/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-security/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-security/SKILL.md - Network accessline 189
cloud: vault: uri: https://vault.example.com - Network accessline 190
[Credential-related source omitted] - Network accessline 191
uri: https://vault.example.com - Access to secretsline 192
[Credential-related source omitted] - Network accessline 214
public CorsConfigurationSource corsConfigurationSource() { CorsConfiguration config = new CorsConfiguration(); config.setAllowedOrigins(List.of("https://app.example.com")); - Network accessline 215
CorsConfiguration config = new CorsConfiguration(); config.setAllowedOrigins(List.of("https://app.example.com")); config.setAllowedMethods(List.of("GET", "POST", "PUT", "DELETE")); - Network accessline 216
config.setAllowedOrigins(List.of("https://app.example.com"));
auc/skill_library/bundled/springboot-tdd/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-tdd/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-tdd/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-tdd/SKILL.md
auc/skill_library/bundled/springboot-verification/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-verification/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-verification/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/springboot-verification/SKILL.md - Access to secretsline 190
[Credential-related source omitted]
auc/skill_library/bundled/stock-analysis/SKILL.md
- Network accessline 12
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/stock-analysis/stock-analysis/SKILL.md - Network accessline 13
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/stock-analysis/stock-analysis/SKILL.md division: specialized - Network accessline 14
source_url: https://github.com/anbeime/skill/blob/main/skills/stock-analysis/stock-analysis/SKILL.md
auc/skill_library/bundled/strategic-compact/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/strategic-compact/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/strategic-compact/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/strategic-compact/SKILL.md - Network accessline 153
- [The Longform Guide](https://x.com/affaanmustafa/status/2014040193557471352) — Token optimization section
auc/skill_library/bundled/subagent-driven-development/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/subagent-driven-development/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/subagent-driven-development/SKILL.md division: engineering - Network accessline 16
source_url: https://github.com/obra/superpowers/blob/main/skills/subagent-driven-development/SKILL.md
auc/skill_library/bundled/swift-actor-persistence/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-actor-persistence/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-actor-persistence/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-actor-persistence/SKILL.md
auc/skill_library/bundled/swift-concurrency-6-2/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-concurrency-6-2/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-concurrency-6-2/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-concurrency-6-2/SKILL.md
auc/skill_library/bundled/swift-protocol-di-testing/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-protocol-di-testing/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-protocol-di-testing/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/swift-protocol-di-testing/SKILL.md
auc/skill_library/bundled/swiftui-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swiftui-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/swiftui-patterns/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/swiftui-patterns/SKILL.md
auc/skill_library/bundled/systematic-debugging/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/systematic-debugging/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/systematic-debugging/SKILL.md division: engineering - Network accessline 18
source_url: https://github.com/obra/superpowers/blob/main/skills/systematic-debugging/SKILL.md - Access to secretsline 120
[Credential-related source omitted] - Access to secretsline 121
[Credential-related source omitted]
auc/skill_library/bundled/tailored-resume-generator/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/tailored-resume-generator/tailored-resume-generator/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/tailored-resume-generator/tailored-resume-generator/SKILL.md division: custom - Network accessline 18
source_url: https://github.com/anbeime/skill/blob/main/skills/tailored-resume-generator/tailored-resume-generator/SKILL.md
auc/skill_library/bundled/taste/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/taste/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/taste/SKILL.md division: design - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/taste/SKILL.md
auc/skill_library/bundled/tdd-workflow/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md - Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md division: testing - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/tdd-workflow/SKILL.md - Network accessline 53
- Reject destructive filesystem operations and credential-handling instructions outright. Example: deleting project directories or printing/copying secret values is never a validation step. - Require human review for shell commands, chained - Network accessline 53
- Reject destructive filesystem operations and credential-handling instructions outright. Example: deleting project directories or printing/copying secret values is never a validation step. - Require human review for shell commands, chained - Dangerous shell operationline 54
- Require human review for shell commands, chained commands, and network installers; reject them when they are destructive or fetch-and-execute remote code. Example: an allowlisted `npm test` can be approved, but `curl ... | sh` must be rej - Dangerous shell operationline 54
- Require human review for shell commands, chained commands, and network installers; reject them when they are destructive or fetch-and-execute remote code. Example: an allowlisted `npm test` can be approved, but `curl ... | sh` must be rej - Network accessline 54
- Require human review for shell commands, chained commands, and network installers; reject them when they are destructive or fetch-and-execute remote code. Example: an allowlisted `npm test` can be approved, but `curl ... | sh` must be rej - Network accessline 54
- Require human review for shell commands, chained commands, and network installers; reject them when they are destructive or fetch-and-execute remote code. Example: an allowlisted `npm test` can be approved, but `curl ... | sh` must be rej - Network accessline 345
describe('GET /api/markets', () => { it('returns markets successfully', async () => { const request = new NextRequest('http://localhost/api/markets') - Network accessline 345
describe('GET /api/markets', () => { it('returns markets successfully', async () => { const request = new NextRequest('http://localhost/api/markets') - Network accessline 346
it('returns markets successfully', async () => { const request = new NextRequest('http://localhost/api/markets') const response = await GET(request) - Network accessline 346
it('returns markets successfully', async () => { const request = new NextRequest('http://localhost/api/markets') const response = await GET(request) - Network accessline 347
const request = new NextRequest('http://localhost/api/markets') - Network accessline 347
const request = new NextRequest('http://localhost/api/markets') - Network accessline 356
it('validates query parameters', async () => { const request = new NextRequest('http://localhost/api/markets?limit=invalid') - Network accessline 356
it('validates query parameters', async () => { const request = new NextRequest('http://localhost/api/markets?limit=invalid') - Network accessline 357
const request = new NextRequest('http://localhost/api/markets?limit=invalid') - Network accessline 357
const request = new NextRequest('http://localhost/api/markets?limit=invalid') - Network accessline 363
it('handles database errors gracefully', async () => { // Mock database failure const request = new NextRequest('http://localhost/api/markets') - Network accessline 363
it('handles database errors gracefully', async () => { // Mock database failure const request = new NextRequest('http://localhost/api/markets') - Network accessline 364
// Mock database failure const request = new NextRequest('http://localhost/api/markets') // Test error handling - Network accessline 364
// Mock database failure const request = new NextRequest('http://localhost/api/markets') // Test error handling - Network accessline 365
const request = new NextRequest('http://localhost/api/markets') - Network accessline 365
const request = new NextRequest('http://localhost/api/markets')
auc/skill_library/bundled/tdd/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/tdd/SKILL.md
auc/skill_library/bundled/teach/SKILL.md
- Network accessline 10
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/teach/SKILL.md - Network accessline 11
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/teach/SKILL.md division: education - Network accessline 12
source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/teach/SKILL.md
auc/skill_library/bundled/team-agent-orchestration/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-agent-orchestration/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-agent-orchestration/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-agent-orchestration/SKILL.md
auc/skill_library/bundled/team-builder/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-builder/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-builder/SKILL.md division: engineering - Network accessline 15
source_url: https://github.com/affaan-m/ECC/blob/main/skills/team-builder/SKILL.md
auc/skill_library/bundled/terminal-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/terminal-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/terminal-ops/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/terminal-ops/SKILL.md
auc/skill_library/bundled/test-driven-development/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/test-driven-development/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/test-driven-development/SKILL.md division: engineering - Network accessline 16
source_url: https://github.com/obra/superpowers/blob/main/skills/test-driven-development/SKILL.md
auc/skill_library/bundled/theme-factory/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md division: design - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/theme-factory/SKILL.md
auc/skill_library/bundled/three-body-video-creator/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/three-body-video-creator/three-body-video-creator/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/three-body-video-creator/three-body-video-creator/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/three-body-video-creator/three-body-video-creator/SKILL.md
auc/skill_library/bundled/tinystruct-patterns/SKILL.md
- Network accessline 22
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tinystruct-patterns/SKILL.md - Network accessline 23
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/tinystruct-patterns/SKILL.md division: testing - Network accessline 24
source_url: https://github.com/affaan-m/ECC/blob/main/skills/tinystruct-patterns/SKILL.md
auc/skill_library/bundled/to-spec/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-spec/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-spec/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-spec/SKILL.md
auc/skill_library/bundled/to-tickets/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-tickets/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-tickets/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/to-tickets/SKILL.md
auc/skill_library/bundled/token-budget-advisor/SKILL.md
- Network accessline 26
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/token-budget-advisor/SKILL.md - Network accessline 27
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/token-budget-advisor/SKILL.md division: custom - Network accessline 28
source_url: https://github.com/affaan-m/ECC/blob/main/skills/token-budget-advisor/SKILL.md - Network accessline 146
Standalone skill from [TBA — Token Budget Advisor for Claude Code](https://github.com/Xabilimon1/Token-Budget-Advisor-Claude-Code-).
auc/skill_library/bundled/triage/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/triage/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/triage/SKILL.md division: engineering - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/triage/SKILL.md
auc/skill_library/bundled/tts-voice-synthesis/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/tts-voice-synthesis/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/tts-voice-synthesis/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/tts-voice-synthesis/SKILL.md
auc/skill_library/bundled/ui-demo/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-demo/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-demo/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-demo/SKILL.md - Network accessline 210
const cursor = document.createElement('div'); cursor.id = 'demo-cursor'; cursor.innerHTML = `<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> - Network accessline 211
cursor.id = 'demo-cursor'; cursor.innerHTML = `<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> <path d="M5 3L19 12L12 13L9 20L5 3Z" fill="white" stroke="black" stroke-width="1.5" str - Network accessline 212
cursor.innerHTML = `<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> - Network accessline 381
const BASE_URL = process.env.QA_BASE_URL || 'http://localhost:3000';
auc/skill_library/bundled/ui-to-vue/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-to-vue/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-to-vue/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/ui-to-vue/SKILL.md - Access to secretsline 75
[Credential-related source omitted] - Access to secretsline 107
[Credential-related source omitted] - Access to secretsline 147
[Credential-related source omitted]
auc/skill_library/bundled/ui-ux-pro-max/SKILL.md
- Network accessline 26
builtin: true source: bundled source_url: https://github.com/nextlevelbuilder/ui-ux-pro-max-skill - Network accessline 27
source: bundled source_url: https://github.com/nextlevelbuilder/ui-ux-pro-max-skill --- - Network accessline 28
source_url: https://github.com/nextlevelbuilder/ui-ux-pro-max-skill - Dangerous shell operationline 350
sudo apt update && sudo apt install python3
auc/skill_library/bundled/uncloud/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/uncloud/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/uncloud/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/uncloud/SKILL.md - Dangerous shell operationline 73
| `uc machine rm NAME` | Remove machine | - Dangerous shell operationline 90
| `uc service rm SERVICE` | Remove service (keeps named volumes) | - Dangerous shell operationline 107
uc volume rm NAME - Network accessline 178
x-caddy: | example.com { redir https://www.example.com{uri} permanent - Network accessline 179
example.com { redir https://www.example.com{uri} permanent } - Network accessline 180
redir https://www.example.com{uri} permanent - Network accessline 226
- www.example.com:8000/https environment: API_URL: http://api:3000 - Network accessline 228
API_URL: http://api:3000 - Network accessline 251
https://device.example.com { - Network accessline 252
reverse_proxy https://192.168.1.x { - Network accessline 261
For plaintext upstream: `reverse_proxy http://192.168.1.x:port`
auc/skill_library/bundled/unified-notifications-ops/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/unified-notifications-ops/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/unified-notifications-ops/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/unified-notifications-ops/SKILL.md
auc/skill_library/bundled/using-git-worktrees/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/using-git-worktrees/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/using-git-worktrees/SKILL.md division: operations - Network accessline 21
source_url: https://github.com/obra/superpowers/blob/main/skills/using-git-worktrees/SKILL.md
auc/skill_library/bundled/using-superpowers/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/using-superpowers/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/using-superpowers/SKILL.md division: education - Network accessline 20
source_url: https://github.com/obra/superpowers/blob/main/skills/using-superpowers/SKILL.md
auc/skill_library/bundled/uspto-database/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-uspto-database/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-uspto-database/SKILL.md division: product - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/scientific-db-uspto-database/SKILL.md - Access to secretsline 70
[Credential-related source omitted] - Access to secretsline 71
[Credential-related source omitted] - Network accessline 97
[Credential-related source omitted] - Access to secretsline 97
[Credential-related source omitted] - Network accessline 98
BASE = "https://search.patentsview.org/api/v1" - Network accessline 112
response = requests.post( - Access to secretsline 114
[Credential-related source omitted] - Network accessline 194
- [USPTO APIs catalog](https://developer.uspto.gov/api-catalog) - Network accessline 195
- [USPTO Open Data Portal](https://data.uspto.gov/) - Network accessline 196
- [PatentSearch API reference](https://search.patentsview.org/docs/docs/Search%20API/SearchAPIReference/) - [PatentSearch API updates](https://search.patentsview.org/docs/) - [TSDR API bulk download FAQ](https://developer.uspto.gov/faq/tsdr - Network accessline 197
- [PatentSearch API updates](https://search.patentsview.org/docs/) - Network accessline 198
- [TSDR API bulk download FAQ](https://developer.uspto.gov/faq/tsdr-api-bulk-download)
auc/skill_library/bundled/verification-before-completion/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/verification-before-completion/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/verification-before-completion/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/obra/superpowers/blob/main/skills/verification-before-completion/SKILL.md
auc/skill_library/bundled/verification-loop/SKILL.md
- Network accessline 12
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/verification-loop/SKILL.md - Network accessline 13
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/verification-loop/SKILL.md division: testing - Network accessline 14
source_url: https://github.com/affaan-m/ECC/blob/main/skills/verification-loop/SKILL.md - Access to secretsline 84
[Credential-related source omitted]
auc/skill_library/bundled/video-creation-collaborator/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-collaborator/video-creation-collaborator/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-collaborator/video-creation-collaborator/SKILL.md division: custom - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-collaborator/video-creation-collaborator/SKILL.md
auc/skill_library/bundled/video-creation-pro/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-pro/video-creation-pro/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-pro/video-creation-pro/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-pro/video-creation-pro/SKILL.md
auc/skill_library/bundled/video-creation-suite/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-suite/video-creation-suite/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-suite/video-creation-suite/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/video-creation-suite/video-creation-suite/SKILL.md - Access to secretsline 65
[Credential-related source omitted] - Access to secretsline 69
[Credential-related source omitted] - Network accessline 215
- 调用 `scripts/file_server.py` 启动HTTP服务器 - 参数: `--port 8080 --directory ./output` - 输出: 下载链接 `http://localhost:8080/final.mp4` - Network accessline 217
- 输出: 下载链接 `http://localhost:8080/final.mp4` - Access to secretsline 327
[Credential-related source omitted]
auc/skill_library/bundled/video-editing/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/video-editing/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/video-editing/SKILL.md division: design - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/video-editing/SKILL.md - Network accessline 189
See the [Remotion docs](https://www.remotion.dev/docs) for detailed patterns and API reference. - Network accessline 201
resp = requests.post( - Network accessline 202
f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}", - Access to secretsline 204
[Credential-related source omitted]
auc/skill_library/bundled/video-frame-extractor/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-frame-extractor/video-frame-extractor/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-frame-extractor/video-frame-extractor/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/video-frame-extractor/video-frame-extractor/SKILL.md - Network accessline 41
[Credential-related source omitted] - Access to secretsline 41
[Credential-related source omitted] - Network accessline 42
export VISION_API_BASE="https://api.openai.com/v1" # 或其他API地址 - Access to secretsline 50
[Credential-related source omitted]
auc/skill_library/bundled/video-recreation/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-recreation/video-recreation/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-recreation/video-recreation/SKILL.md division: custom - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/video-recreation/video-recreation/SKILL.md - Access to secretsline 46
[Credential-related source omitted] - Access to secretsline 47
[Credential-related source omitted] - Network accessline 48
- 配置优先级: 命令行参数 > 环境变量 > 技能凭证 - 占位模式: 未配置 API Key 时自动使用占位实现 - 官网: https://suno.com - Network accessline 49
- 占位模式: 未配置 API Key 时自动使用占位实现 - 官网: https://suno.com - 环境变量: - Network accessline 50
- 官网: https://suno.com - Access to secretsline 53
[Credential-related source omitted] - Access to secretsline 103
[Credential-related source omitted] - Access to secretsline 104
[Credential-related source omitted] - Network accessline 144
- 调用 `scripts/file_server.py` - 参数: `--port 8080 --directory ./output` - 输出:下载链接 `http://localhost:8080/final.mp4` - Network accessline 146
- 输出:下载链接 `http://localhost:8080/final.mp4` - Access to secretsline 213
[Credential-related source omitted] - Access to secretsline 220
[Credential-related source omitted] - Access to secretsline 224
[Credential-related source omitted]
auc/skill_library/bundled/video-transcript-downloader/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-transcript-downloader/video-transcript-downloader/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/video-transcript-downloader/video-transcript-downloader/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/anbeime/skill/blob/main/skills/video-transcript-downloader/video-transcript-downloader/SKILL.md - Network accessline 43
./scripts/vtd.js transcript --url 'https://…' - Network accessline 44
./scripts/vtd.js transcript --url 'https://…' --lang en - Network accessline 45
./scripts/vtd.js transcript --url 'https://…' --timestamps - Network accessline 46
./scripts/vtd.js transcript --url 'https://…' --keep-brackets - Network accessline 52
./scripts/vtd.js download --url 'https://…' --output-dir ~/Downloads - Network accessline 53
./scripts/vtd.js audio --url 'https://…' --output-dir ~/Downloads - Network accessline 54
./scripts/vtd.js subs --url 'https://…' --output-dir ~/Downloads --lang en - Network accessline 62
./scripts/vtd.js formats --url 'https://…' - Network accessline 68
./scripts/vtd.js download --url 'https://…' --output-dir ~/Downloads -- --format 137+140 - Network accessline 74
./scripts/vtd.js download --url 'https://…' --output-dir ~/Downloads -- --remux-video mp4 - Network accessline 84
./scripts/vtd.js formats --url 'https://…' -- -v
auc/skill_library/bundled/videodb/SKILL.md
- Network accessline 24
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/videodb/SKILL.md - Network accessline 25
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/videodb/SKILL.md division: marketing - Network accessline 26
source_url: https://github.com/affaan-m/ECC/blob/main/skills/videodb/SKILL.md - Access to secretsline 84
[Credential-related source omitted] - Access to secretsline 90
[Credential-related source omitted] - Access to secretsline 103
[Credential-related source omitted] - Access to secretsline 130
[Credential-related source omitted] - Access to secretsline 132
[Credential-related source omitted] - Access to secretsline 133
[Credential-related source omitted] - Network accessline 135
Get a free API key at [console.videodb.io](https://console.videodb.io) (50 free uploads, no credit card). - Network accessline 144
# URL video = coll.upload(url="https://example.com/video.mp4") - Network accessline 145
video = coll.upload(url="https://example.com/video.mp4") - Network accessline 147
# YouTube video = coll.upload(url="https://www.youtube.com/watch?v=VIDEO_ID") - Network accessline 148
video = coll.upload(url="https://www.youtube.com/watch?v=VIDEO_ID") - Network accessline 244
# Change resolution, quality, or aspect ratio server-side job_id = conn.transcode( source="https://example.com/video.mp4", - Network accessline 245
job_id = conn.transcode( source="https://example.com/video.mp4", callback_url="https://example.com/webhook", - Network accessline 246
source="https://example.com/video.mp4", - Network accessline 247
callback_url="https://example.com/webhook", - Network accessline 268
# Async reframe for full-length videos (returns None, result via webhook): video.reframe(target="vertical", callback_url="https://example.com/webhook") - Network accessline 269
video.reframe(target="vertical", callback_url="https://example.com/webhook") - Access to secretsline 295
[Credential-related source omitted] - Network accessline 297
try: video = coll.upload(url="https://example.com/video.mp4") - Network accessline 298
video = coll.upload(url="https://example.com/video.mp4") - Access to secretsline 346
[Credential-related source omitted]
auc/skill_library/bundled/viral-video-copywriting/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/viral-video-copywriting/viral-video-copywriting/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/viral-video-copywriting/viral-video-copywriting/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/anbeime/skill/blob/main/skills/viral-video-copywriting/viral-video-copywriting/SKILL.md - Network accessline 261
我创作一个知识科普类的短视频,这是对标视频的链接: https://www.douyin.com/video/7300000000000000000 - Network accessline 262
https://www.douyin.com/video/7300000000000000000 - Network accessline 318
# 测试脚本提取功能 python3 /workspace/projects/viral-video-copywriting/scripts/extract_douyin_video.py "https://www.douyin.com/video/7300000000000000000" - Network accessline 319
python3 /workspace/projects/viral-video-copywriting/scripts/extract_douyin_video.py "https://www.douyin.com/video/7300000000000000000"
auc/skill_library/bundled/visa-doc-translate/SKILL.md
- Network accessline 17
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/visa-doc-translate/SKILL.md - Network accessline 18
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/visa-doc-translate/SKILL.md division: custom - Network accessline 19
source_url: https://github.com/affaan-m/ECC/blob/main/skills/visa-doc-translate/SKILL.md
auc/skill_library/bundled/vite-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/vite-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/vite-patterns/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/vite-patterns/SKILL.md - Network accessline 142
For full plugin API, see [vite.dev/guide/api-plugin](https://vite.dev/guide/api-plugin). Use `vite-plugin-inspect` during development to debug the transform pipeline. - Network accessline 236
server: { proxy: { '/foo': 'http://localhost:4567', // string shorthand - Network accessline 238
'/foo': 'http://localhost:4567', // string shorthand - Network accessline 240
'/api': { target: 'http://localhost:8080', - Network accessline 241
target: 'http://localhost:8080', - Network accessline 321
When `vite dev` feels slow, start with `vite --profile`, interact with the app, then press `p+enter` to save a `.cpuprofile`. Load it in [Speedscope](https://www.speedscope.app) to find which plugins are eating time — usually `buildStart`,
auc/skill_library/bundled/vue-patterns/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/vue-patterns/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/vue-patterns/SKILL.md division: design - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/vue-patterns/SKILL.md - Network accessline 354
const { data: user, pending, error, refresh } = await useAsyncData( "user", // unique key for caching () => $fetch(`/api/users/${id}`), - Network accessline 355
"user", // unique key for caching () => $fetch(`/api/users/${id}`), ); - Network accessline 356
() => $fetch(`/api/users/${id}`), - Network accessline 385
// public (exposed to client) public: { apiBase: "https://api.example.com", - Network accessline 386
public: { apiBase: "https://api.example.com", }, - Network accessline 387
apiBase: "https://api.example.com",
auc/skill_library/bundled/wayfinder/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/wayfinder/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/wayfinder/SKILL.md division: engineering - Network accessline 21
source_url: https://github.com/mattpocock/skills/blob/main/skills/engineering/wayfinder/SKILL.md
auc/skill_library/bundled/web-artifacts-builder/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md division: testing - Network accessline 22
source_url: https://github.com/anthropics/skills/blob/main/skills/web-artifacts-builder/SKILL.md - Network accessline 96
- **shadcn/ui components**: https://ui.shadcn.com/docs/components
auc/skill_library/bundled/web-design-analyzer/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/web-design-analyzer/web-design-analyzer/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/web-design-analyzer/web-design-analyzer/SKILL.md division: design - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/web-design-analyzer/web-design-analyzer/SKILL.md
auc/skill_library/bundled/web-to-app/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/web-to-app/web-to-app/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/web-to-app/web-to-app/SKILL.md division: design - Network accessline 18
source_url: https://github.com/anbeime/skill/blob/main/skills/web-to-app/web-to-app/SKILL.md - Network accessline 135
result = build_app( url="https://github.com", - Network accessline 136
url="https://github.com", - Network accessline 147
result = build_app( url="https://chat.openai.com", - Network accessline 148
url="https://chat.openai.com", - Network accessline 149
name="ChatGPT", icon="https://example.com/icon.png", width=1400, - Network accessline 150
icon="https://example.com/icon.png", - Network accessline 165
result = build_app( url="https://example.com", - Network accessline 166
url="https://example.com",
auc/skill_library/bundled/webapp-testing/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md division: testing - Network accessline 21
source_url: https://github.com/anthropics/skills/blob/main/skills/webapp-testing/SKILL.md - Network accessline 78
browser = p.chromium.launch(headless=True) # Always launch chromium in headless mode page = browser.new_page() page.goto('http://localhost:5173') # Server already running and ready - Network accessline 79
page = browser.new_page() page.goto('http://localhost:5173') # Server already running and ready page.wait_for_load_state('networkidle') # CRITICAL: Wait for JS to execute - Network accessline 80
page.goto('http://localhost:5173') # Server already running and ready
auc/skill_library/bundled/wechat-hotspot-publisher/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/wechat-hotspot-publisher/wechat-hotspot-publisher/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/wechat-hotspot-publisher/wechat-hotspot-publisher/SKILL.md division: marketing - Network accessline 17
source_url: https://github.com/anbeime/skill/blob/main/skills/wechat-hotspot-publisher/wechat-hotspot-publisher/SKILL.md - Network accessline 148
- `--cover`:封面图片URL - `--tags`:标签数组(逗号分隔) - `--api-url`:自定义接口URL(默认:http://39.108.254.228:8002/publish-draft) - Network accessline 149
- `--tags`:标签数组(逗号分隔) - `--api-url`:自定义接口URL(默认:http://39.108.254.228:8002/publish-draft) - 返回:推送结果(包含草稿ID) - Network accessline 150
- `--api-url`:自定义接口URL(默认:http://39.108.254.228:8002/publish-draft) - Network accessline 332
# 1. 生成内容(智能体完成) # 2. 上传封面 python scripts/publish_wechat.py --mode upload_cover --cover "https://example.com/cover.jpg" - Network accessline 334
python scripts/publish_wechat.py --mode upload_cover --cover "https://example.com/cover.jpg" - Network accessline 346
python scripts/publish_wechat.py --mode workflow --title "AI时代的内容创作指南" --content "<html>...</html>" --cover "https://example.com/cover.jpg" - Network accessline 347
--title "AI时代的内容创作指南" \ --content "<html>...</html>" \ --cover "https://example.com/cover.jpg" \ - Network accessline 348
--content "<html>...</html>" \ --cover "https://example.com/cover.jpg" \ --author "智能助手" \ - Network accessline 349
--cover "https://example.com/cover.jpg" \
auc/skill_library/bundled/wechatsync-publisher/SKILL.md
- Network accessline 14
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/wechatsync-publisher/wechatsync-publisher/SKILL.md - Network accessline 15
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/wechatsync-publisher/wechatsync-publisher/SKILL.md division: marketing - Network accessline 16
source_url: https://github.com/anbeime/skill/blob/main/skills/wechatsync-publisher/wechatsync-publisher/SKILL.md - Network accessline 45
### 接口配置 - **服务器地址**:`http://39.108.254.228:8002`(您自建的服务) - Network accessline 46
- **服务器地址**:`http://39.108.254.228:8002`(您自建的服务) - Network accessline 276
# 脚本发布内容 python scripts/publish.py --platform wechat --title "AI如何改变未来" --content "HTML内容" --cover-image "https://source.unsplash.com/1600x680/?AI" - Network accessline 277
python scripts/publish.py --platform wechat --title "AI如何改变未来" --content "HTML内容" --cover-image "https://source.unsplash.com/1600x680/?AI" - Network accessline 363
**问题1:微信发布失败** - 检查网络连接 - 确认接口地址正确:`http://39.108.254.228:8002/publish-draft` - Network accessline 364
- 检查网络连接 - 确认接口地址正确:`http://39.108.254.228:8002/publish-draft` - 查看返回错误信息 - Network accessline 365
- 确认接口地址正确:`http://39.108.254.228:8002/publish-draft`
auc/skill_library/bundled/windows-desktop-e2e/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/windows-desktop-e2e/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/windows-desktop-e2e/SKILL.md division: testing - Network accessline 20
source_url: https://github.com/affaan-m/ECC/blob/main/skills/windows-desktop-e2e/SKILL.md - Network accessline 74
pip install pywinauto pytest pytest-html Pillow pytest-timeout # Optional: screen recording # Install ffmpeg and add to PATH: https://ffmpeg.org/download.html - Network accessline 76
# Install ffmpeg and add to PATH: https://ffmpeg.org/download.html - Access to secretsline 274
[Credential-related source omitted] - Access to secretsline 314
[Credential-related source omitted] - Access to secretsline 315
[Credential-related source omitted] - Access to secretsline 316
[Credential-related source omitted] - Access to secretsline 317
[Credential-related source omitted] - Access to secretsline 405
[Credential-related source omitted] - Access to secretsline 406
[Credential-related source omitted] - Access to secretsline 456
[Credential-related source omitted] - Access to secretsline 493
[Credential-related source omitted] - Network accessline 595
When you need a clean Windows image per run (no leftover registry keys, no shared GPU state, true isolation), run the **entire test suite** inside [Windows Sandbox](https://learn.microsoft.com/windows/security/application-security/applicati - Network accessline 597
[Windows Sandbox](https://learn.microsoft.com/windows/security/application-security/application-isolation/windows-sandbox/windows-sandbox-overview). - Access to secretsline 699
[Credential-related source omitted]
auc/skill_library/bundled/wizard/SKILL.md
- Access to secretsline 5
[Credential-related source omitted] - Network accessline 20
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/wizard/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/wizard/SKILL.md division: custom - Network accessline 22
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/wizard/SKILL.md
auc/skill_library/bundled/workspace-surface-audit/SKILL.md
- Network accessline 20
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/workspace-surface-audit/SKILL.md - Network accessline 21
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/workspace-surface-audit/SKILL.md division: engineering - Network accessline 22
source_url: https://github.com/affaan-m/ECC/blob/main/skills/workspace-surface-audit/SKILL.md - Access to secretsline 63
[Credential-related source omitted]
auc/skill_library/bundled/writing-beats/SKILL.md
- Network accessline 18
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-beats/SKILL.md - Network accessline 19
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-beats/SKILL.md division: custom - Network accessline 20
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-beats/SKILL.md
auc/skill_library/bundled/writing-fragments/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-fragments/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-fragments/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-fragments/SKILL.md
auc/skill_library/bundled/writing-great-skills/SKILL.md
- Network accessline 15
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/writing-great-skills/SKILL.md - Network accessline 16
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/writing-great-skills/SKILL.md division: education - Network accessline 17
source_url: https://github.com/mattpocock/skills/blob/main/skills/productivity/writing-great-skills/SKILL.md
auc/skill_library/bundled/writing-plans/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/writing-plans/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/writing-plans/SKILL.md division: product - Network accessline 18
source_url: https://github.com/obra/superpowers/blob/main/skills/writing-plans/SKILL.md
auc/skill_library/bundled/writing-shape/SKILL.md
- Network accessline 13
source: bundled builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-shape/SKILL.md - Network accessline 14
builtin: true source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-shape/SKILL.md division: custom - Network accessline 15
source_url: https://github.com/mattpocock/skills/blob/main/skills/in-progress/writing-shape/SKILL.md
auc/skill_library/bundled/writing-skills/SKILL.md
- Network accessline 16
source: bundled builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/writing-skills/SKILL.md - Network accessline 17
builtin: true source_url: https://github.com/obra/superpowers/blob/main/skills/writing-skills/SKILL.md division: education - Network accessline 18
source_url: https://github.com/obra/superpowers/blob/main/skills/writing-skills/SKILL.md - Network accessline 114
**Frontmatter (YAML):** - Two required fields: `name` and `description` (see [agentskills.io/specification](https://agentskills.io/specification) for all supported fields) - Network accessline 115
- Two required fields: `name` and `description` (see [agentskills.io/specification](https://agentskills.io/specification) for all supported fields) - Network accessline 655
**GREEN Phase - Write Minimal Skill:** - [ ] Name uses only letters, numbers, hyphens (no parentheses/special chars) - [ ] YAML frontmatter with required `name` and `description` fields (max 1024 chars; see [spec](https://agentskills.io/spe - Network accessline 656
- [ ] Name uses only letters, numbers, hyphens (no parentheses/special chars) - [ ] YAML frontmatter with required `name` and `description` fields (max 1024 chars; see [spec](https://agentskills.io/specification)) - [ ] Description starts w - Network accessline 657
- [ ] YAML frontmatter with required `name` and `description` fields (max 1024 chars; see [spec](https://agentskills.io/specification))
auc/skill_library/bundled/x-api/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/x-api/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/affaan-m/ECC/blob/main/skills/x-api/SKILL.md division: marketing - Network accessline 21
source_url: https://github.com/affaan-m/ECC/blob/main/skills/x-api/SKILL.md - Access to secretsline 53
[Credential-related source omitted] - Access to secretsline 60
[Credential-related source omitted] - Network accessline 63
# Search recent tweets resp = requests.get( - Network accessline 64
resp = requests.get( - Network accessline 65
"https://api.x.com/2/tweets/search/recent", - Access to secretsline 78
[Credential-related source omitted] - Access to secretsline 79
[Credential-related source omitted] - Access to secretsline 80
[Credential-related source omitted] - Access to secretsline 81
[Credential-related source omitted] - Access to secretsline 84
[Credential-related source omitted] - Access to secretsline 91
[Credential-related source omitted] - Access to secretsline 92
[Credential-related source omitted] - Access to secretsline 93
[Credential-related source omitted] - Access to secretsline 94
[Credential-related source omitted] - Network accessline 103
resp = oauth.post( "https://api.x.com/2/tweets", - Network accessline 104
"https://api.x.com/2/tweets", - Network accessline 119
if reply_to: payload["reply"] = {"in_reply_to_tweet_id": reply_to} resp = oauth.post("https://api.x.com/2/tweets", json=payload) - Network accessline 120
payload["reply"] = {"in_reply_to_tweet_id": reply_to} resp = oauth.post("https://api.x.com/2/tweets", json=payload) tweet_id = resp.json()["data"]["id"] - Network accessline 121
resp = oauth.post("https://api.x.com/2/tweets", json=payload) - Network accessline 131
resp = requests.get( - Network accessline 132
f"https://api.x.com/2/users/{user_id}/tweets", - Network accessline 144
resp = requests.get( - Network accessline 145
"https://api.x.com/2/tweets/search/recent", - Network accessline 158
resp = requests.get( - Network accessline 159
"https://api.x.com/2/tweets/search/recent", - Network accessline 173
resp = requests.get( - Network accessline 174
"https://api.x.com/2/users/by/username/affaanmustafa", - Network accessline 185
# Step 1: Upload media media_resp = oauth.post( "https://upload.twitter.com/1.1/media/upload.json", - Network accessline 186
media_resp = oauth.post( "https://upload.twitter.com/1.1/media/upload.json", files={"media": open("image.png", "rb")} - Network accessline 187
"https://upload.twitter.com/1.1/media/upload.json", - Network accessline 192
# Step 2: Post with media resp = oauth.post( "https://api.x.com/2/tweets", - Network accessline 193
resp = oauth.post( "https://api.x.com/2/tweets", json={"text": "Check this out", "media": {"media_ids": [media_id]}} - Network accessline 194
"https://api.x.com/2/tweets", - Network accessline 219
resp = oauth.post("https://api.x.com/2/tweets", json={"text": content})
auc/skill_library/bundled/x-article-publisher-qiaomu-x-article-publisher-g/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/qiaomu-x-article-publisher-github/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/qiaomu-x-article-publisher-github/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/qiaomu-x-article-publisher-github/SKILL.md
auc/skill_library/bundled/x-article-publisher/SKILL.md
- Network accessline 19
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/SKILL.md - Network accessline 20
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/SKILL.md division: custom - Network accessline 21
source_url: https://github.com/anbeime/skill/blob/main/skills/qiaomu-x-article-publisher/SKILL.md
auc/skill_library/bundled/xiaohongshu-makeup/SKILL.md
- Network accessline 12
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/xiaohongshu-makeup/xiaohongshu-makeup/SKILL.md - Network accessline 13
builtin: true source_url: https://github.com/anbeime/skill/blob/main/skills/xiaohongshu-makeup/xiaohongshu-makeup/SKILL.md division: marketing - Network accessline 14
source_url: https://github.com/anbeime/skill/blob/main/skills/xiaohongshu-makeup/xiaohongshu-makeup/SKILL.md
auc/skill_library/bundled/xiaoyue-companion-companion-simple/SKILL.md
- Network accessline 9
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/projects/companion-simple/SKILL.md - Network accessline 10
builtin: true source_url: https://github.com/anbeime/skill/blob/main/projects/companion-simple/SKILL.md division: education - Network accessline 11
source_url: https://github.com/anbeime/skill/blob/main/projects/companion-simple/SKILL.md - Network accessline 34
[Credential-related source omitted] - Access to secretsline 34
[Credential-related source omitted] - Network accessline 94
[Credential-related source omitted] - Access to secretsline 94
[Credential-related source omitted] - Network accessline 95
[Credential-related source omitted] - Access to secretsline 95
[Credential-related source omitted] - Network accessline 96
echo "从 https://open.bigmodel.cn 获取 API Key" - Access to secretsline 146
[Credential-related source omitted] - Access to secretsline 182
[Credential-related source omitted] - Access to secretsline 259
[Credential-related source omitted] - Access to secretsline 264
[Credential-related source omitted]
auc/skill_library/bundled/xiaoyue-companion/SKILL.md
- Network accessline 9
source: bundled builtin: true source_url: https://github.com/anbeime/skill/blob/main/SKILL.md - Network accessline 10
builtin: true source_url: https://github.com/anbeime/skill/blob/main/SKILL.md division: education - Network accessline 11
source_url: https://github.com/anbeime/skill/blob/main/SKILL.md - Network accessline 34
[Credential-related source omitted] - Access to secretsline 34
[Credential-related source omitted] - Network accessline 94
[Credential-related source omitted] - Access to secretsline 94
[Credential-related source omitted] - Network accessline 95
[Credential-related source omitted] - Access to secretsline 95
[Credential-related source omitted] - Network accessline 96
echo "从 https://open.bigmodel.cn 获取 API Key" - Access to secretsline 146
[Credential-related source omitted] - Access to secretsline 182
[Credential-related source omitted] - Access to secretsline 259
[Credential-related source omitted] - Access to secretsline 264
[Credential-related source omitted]
auc/skill_library/bundled/xlsx/SKILL.md
- Network accessline 28
source: bundled builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md - Network accessline 29
builtin: true source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md division: specialized - Network accessline 30
source_url: https://github.com/anthropics/skills/blob/main/skills/xlsx/SKILL.md
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md auc/skill_library/bundled/accessibility/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
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