#452 by GitHub stars
softaworks/agent-toolkit
A curated collection of skills for AI coding agents. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows.
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.
View weekly changes
dist/plugins/agent-md-refactor/skills/agent-md-refactor/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/backend-to-frontend-handoff-docs/skills/backend-to-frontend-handoff-docs/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/c4-architecture/skills/c4-architecture/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/codex/skills/codex/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/command-creator/skills/command-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/commit-work/skills/commit-work/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/database-schema-designer/skills/database-schema-designer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/datadog-cli/skills/datadog-cli/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/dependency-updater/skills/dependency-updater/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/design-system-starter/skills/design-system-starter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/difficult-workplace-conversations/skills/difficult-workplace-conversations/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/domain-name-brainstormer/skills/domain-name-brainstormer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/draw-io/skills/draw-io/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/excalidraw/skills/excalidraw/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/feedback-mastery/skills/feedback-mastery/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/frontend-to-backend-requirements/skills/frontend-to-backend-requirements/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/game-changing-features/skills/game-changing-features/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/gemini/skills/gemini/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/gepetto/skills/gepetto/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/humanizer/skills/humanizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/jira/skills/jira/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/lesson-learned/skills/lesson-learned/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/marp-slide/skills/marp-slide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/meme-factory/skills/meme-factory/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/mui/skills/mui/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/naming-analyzer/skills/naming-analyzer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/openapi-to-typescript/skills/openapi-to-typescript/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/perplexity/skills/perplexity/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/plugin-forge/skills/plugin-forge/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/professional-communication/skills/professional-communication/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/qa-test-planner/skills/qa-test-planner/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/react-dev/skills/react-dev/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/react-useeffect/skills/react-useeffect/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/reducing-entropy/skills/reducing-entropy/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/requirements-clarity/skills/requirements-clarity/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/session-handoff/skills/session-handoff/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/ship-learn-next/skills/ship-learn-next/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/skill-judge/skills/skill-judge/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/web-to-markdown/skills/web-to-markdown/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
dist/plugins/writing-clearly-and-concisely/skills/writing-clearly-and-concisely/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/agent-md-refactor/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/backend-to-frontend-handoff-docs/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/c4-architecture/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/codex/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/command-creator/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/commit-work/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/crafting-effective-readmes/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/daily-meeting-update/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/database-schema-designer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/datadog-cli/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/dependency-updater/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/design-system-starter/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/difficult-workplace-conversations/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/domain-name-brainstormer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/draw-io/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/excalidraw/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/feedback-mastery/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/frontend-to-backend-requirements/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/game-changing-features/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/gemini/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/gepetto/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/humanizer/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/jira/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/lesson-learned/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/marp-slide/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/meme-factory/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/mermaid-diagrams/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
No earlier version was observed for comparison.
skills/mui/SKILL.md
Week of Nov 2, 2026 · +0 / −0 lines
Before Network or broad shell → After Network or broad shell
3027f20f3181 → 3027f20f3181
Week of Oct 26, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → 3027f20f3181
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skills/naming-analyzer/SKILL.md
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Verified commit 3027f20f3181758385a1bb8c022d4041dfb4de84
git clone --filter=blob:none --no-checkout https://github.com/softaworks/agent-toolkit.git .hotskills/softaworks-agent-toolkit && git -C .hotskills/softaworks-agent-toolkit checkout --detach 3027f20f3181758385a1bb8c022d4041dfb4de84
# Copy each selected skill directory from .hotskills/softaworks-agent-toolkit into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/softaworks/agent-toolkit.git .hotskills/softaworks-agent-toolkit && git -C .hotskills/softaworks-agent-toolkit checkout --detach 3027f20f3181758385a1bb8c022d4041dfb4de84
# Copy each selected skill directory from .hotskills/softaworks-agent-toolkit into .agents/skills/<skill-name>/Heat
5.5- Star growth, last 7 daysAhead of 86% of tracked repositories
- Star growth, last 24 hoursAhead of 84% of tracked repositories
- Rank movement, last 7 daysAhead of 38% 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
- agent-md-refactor
dist/plugins/agent-md-refactor/skills/agent-md-refactor - backend-to-frontend-handoff-docs
dist/plugins/backend-to-frontend-handoff-docs/skills/backend-to-frontend-handoff-docs - c4-architecture
dist/plugins/c4-architecture/skills/c4-architecture - codex
dist/plugins/codex/skills/codex - command-creator
dist/plugins/command-creator/skills/command-creator - commit-work
dist/plugins/commit-work/skills/commit-work - crafting-effective-readmes
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes - daily-meeting-update
dist/plugins/daily-meeting-update/skills/daily-meeting-update - database-schema-designer
dist/plugins/database-schema-designer/skills/database-schema-designer - datadog-cli
dist/plugins/datadog-cli/skills/datadog-cli - dependency-updater
dist/plugins/dependency-updater/skills/dependency-updater - design-system-starter
dist/plugins/design-system-starter/skills/design-system-starter - difficult-workplace-conversations
dist/plugins/difficult-workplace-conversations/skills/difficult-workplace-conversations - domain-name-brainstormer
dist/plugins/domain-name-brainstormer/skills/domain-name-brainstormer - draw-io
dist/plugins/draw-io/skills/draw-io - excalidraw
dist/plugins/excalidraw/skills/excalidraw - feedback-mastery
dist/plugins/feedback-mastery/skills/feedback-mastery - frontend-to-backend-requirements
dist/plugins/frontend-to-backend-requirements/skills/frontend-to-backend-requirements - game-changing-features
dist/plugins/game-changing-features/skills/game-changing-features - gemini
dist/plugins/gemini/skills/gemini - gepetto
dist/plugins/gepetto/skills/gepetto - humanizer
dist/plugins/humanizer/skills/humanizer - jira
dist/plugins/jira/skills/jira - lesson-learned
dist/plugins/lesson-learned/skills/lesson-learned - marp-slide
dist/plugins/marp-slide/skills/marp-slide - meme-factory
dist/plugins/meme-factory/skills/meme-factory - mermaid-diagrams
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams - mui
dist/plugins/mui/skills/mui - naming-analyzer
dist/plugins/naming-analyzer/skills/naming-analyzer - openapi-to-typescript
dist/plugins/openapi-to-typescript/skills/openapi-to-typescript - perplexity
dist/plugins/perplexity/skills/perplexity - plugin-forge
dist/plugins/plugin-forge/skills/plugin-forge - professional-communication
dist/plugins/professional-communication/skills/professional-communication - qa-test-planner
dist/plugins/qa-test-planner/skills/qa-test-planner - react-dev
dist/plugins/react-dev/skills/react-dev - react-useeffect
dist/plugins/react-useeffect/skills/react-useeffect - reducing-entropy
dist/plugins/reducing-entropy/skills/reducing-entropy - requirements-clarity
dist/plugins/requirements-clarity/skills/requirements-clarity - session-handoff
dist/plugins/session-handoff/skills/session-handoff - ship-learn-next
dist/plugins/ship-learn-next/skills/ship-learn-next - skill-judge
dist/plugins/skill-judge/skills/skill-judge - web-to-markdown
dist/plugins/web-to-markdown/skills/web-to-markdown - writing-clearly-and-concisely
dist/plugins/writing-clearly-and-concisely/skills/writing-clearly-and-concisely - agent-md-refactor
skills/agent-md-refactor - backend-to-frontend-handoff-docs
skills/backend-to-frontend-handoff-docs - c4-architecture
skills/c4-architecture - codex
skills/codex - command-creator
skills/command-creator - commit-work
skills/commit-work - crafting-effective-readmes
skills/crafting-effective-readmes - daily-meeting-update
skills/daily-meeting-update - database-schema-designer
skills/database-schema-designer - datadog-cli
skills/datadog-cli - dependency-updater
skills/dependency-updater - design-system-starter
skills/design-system-starter - difficult-workplace-conversations
skills/difficult-workplace-conversations - domain-name-brainstormer
skills/domain-name-brainstormer - draw-io
skills/draw-io - excalidraw
skills/excalidraw - feedback-mastery
skills/feedback-mastery - frontend-to-backend-requirements
skills/frontend-to-backend-requirements - game-changing-features
skills/game-changing-features - gemini
skills/gemini - gepetto
skills/gepetto - humanizer
skills/humanizer - jira
skills/jira - lesson-learned
skills/lesson-learned - marp-slide
skills/marp-slide - meme-factory
skills/meme-factory - mermaid-diagrams
skills/mermaid-diagrams - mui
skills/mui - naming-analyzer
skills/naming-analyzer - openapi-to-typescript
skills/openapi-to-typescript - perplexity
skills/perplexity - plugin-forge
skills/plugin-forge - professional-communication
skills/professional-communication - qa-test-planner
skills/qa-test-planner - react-dev
skills/react-dev - react-useeffect
skills/react-useeffect - reducing-entropy
skills/reducing-entropy - requirements-clarity
skills/requirements-clarity - session-handoff
skills/session-handoff - ship-learn-next
skills/ship-learn-next - skill-judge
skills/skill-judge - web-to-markdown
skills/web-to-markdown - writing-clearly-and-concisely
skills/writing-clearly-and-concisely
How it works
agent-md-refactor
When your agent uses it
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
1,782 tokensWhen the skill is activated
Reference documents
421,624 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Quick Reference
- Process
- Execution Checklist
- Anti-Patterns
- Examples
- Verification
Scripts executed separately
../../../../../skills/daily-meeting-update/scripts/claude_digest.py../../../../../skills/dependency-updater/scripts/check-tool.sh../../../../../skills/dependency-updater/scripts/run-taze.sh../../../../../skills/design-system-starter/templates/component-template.tsx../../../../../skills/draw-io/scripts/convert-drawio-to-png.sh../../../../../skills/draw-io/scripts/find_aws_icon.py../../../../../skills/meme-factory/scripts/meme_generator.py../../../../../skills/plugin-forge/scripts/bump_version.py../../../../../skills/plugin-forge/scripts/create_plugin.py../../../../../skills/qa-test-planner/scripts/create_bug_report.sh../../../../../skills/qa-test-planner/scripts/generate_test_cases.sh../../../../../skills/session-handoff/evals/setup_test_env.py../../../../../skills/session-handoff/scripts/check_staleness.py../../../../../skills/session-handoff/scripts/create_handoff.py../../../../../skills/session-handoff/scripts/list_handoffs.py../../../../../skills/session-handoff/scripts/validate_handoff.py
Files
../../../../../.claude-plugin/marketplace.jsonasset28,838 bytes../../../../../agents/ascii-ui-mockup-generator.mddoc3,294 bytes../../../../../agents/codebase-pattern-finder.mddoc6,939 bytes../../../../../agents/communication-excellence-coach.mddoc6,405 bytes../../../../../agents/general-purpose.mddoc1,583 bytes../../../../../agents/mermaid-diagram-specialist.mddoc15,273 bytes../../../../../agents/mermaid-diagram-specialist.mddoc15,273 bytes../../../../../agents/ui-ux-designer.mddoc17,644 bytes../../../../../commands/codex-plan.mddoc11,078 bytes../../../../../commands/codex-plan.mddoc11,078 bytes../../../../../commands/codex-plan.mddoc11,078 bytes../../../../../commands/codex-plan.mddoc11,078 bytes../../../../../commands/compose-email.mddoc3,764 bytes../../../../../commands/compose-email.mddoc3,764 bytes../../../../../commands/explain-changes-mental-model.mddoc7,006 bytes../../../../../commands/explain-changes-mental-model.mddoc7,006 bytes../../../../../commands/explain-changes-mental-model.mddoc7,006 bytes../../../../../commands/explain-pr-changes.mddoc5,676 bytes../../../../../commands/sync-branch.mddoc470 bytes../../../../../commands/sync-branch.mddoc470 bytes../../../../../commands/sync-branch.mddoc470 bytes../../../../../commands/sync-skills-readme.mddoc5,279 bytes../../../../../commands/sync-skills-readme.mddoc5,279 bytes../../../../../commands/viral-tweet.mddoc4,347 bytesREADME.mddoc7,326 bytesSKILL.mdcore7,473 bytes../../../../../skills/agent-md-refactor/README.mddoc7,326 bytes../../../../../skills/agent-md-refactor/SKILL.mddoc7,473 bytes../../../../../skills/backend-to-frontend-handoff-docs/README.mddoc8,861 bytes../../../../../skills/backend-to-frontend-handoff-docs/SKILL.mddoc5,252 bytes../../../../../skills/c4-architecture/README.mddoc7,072 bytes../../../../../skills/c4-architecture/SKILL.mddoc10,575 bytes../../../../../skills/c4-architecture/references/advanced-patterns.mddoc18,346 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bytes../../../../../skills/ship-learn-next/README.mddoc6,796 bytes../../../../../skills/ship-learn-next/SKILL.mddoc9,419 bytes../../../../../skills/skill-judge/README.mddoc8,755 bytes../../../../../skills/skill-judge/SKILL.mddoc31,029 bytes../../../../../skills/web-to-markdown/README.mddoc6,734 bytes../../../../../skills/web-to-markdown/SKILL.mddoc3,514 bytes../../../../../skills/writing-clearly-and-concisely/README.mddoc6,078 bytes../../../../../skills/writing-clearly-and-concisely/SKILL.mddoc3,768 bytes../../../../../skills/writing-clearly-and-concisely/elements-of-style/01-introductory.mddoc303 bytes../../../../../skills/writing-clearly-and-concisely/elements-of-style/02-elementary-rules-of-usage.mddoc12,168 bytes../../../../../skills/writing-clearly-and-concisely/elements-of-style/03-elementary-principles-of-composition.mddoc33,622 bytes../../../../../skills/writing-clearly-and-concisely/elements-of-style/04-a-few-matters-of-form.mddoc4,918 bytes../../../../../skills/writing-clearly-and-concisely/elements-of-style/05-words-and-expressions-commonly-misused.mddoc22,310 bytes../../../../../skills/writing-clearly-and-concisely/signs-of-ai-writing.mddoc94,774 bytes
Read SKILL.md
# Agent MD Refactor
Refactor bloated agent instruction files (AGENTS.md, CLAUDE.md, COPILOT.md, etc.) to follow **progressive disclosure principles** - keeping essentials at root and organizing the rest into linked, categorized files.
---
## Triggers
Use this skill when:
- "refactor my AGENTS.md" / "refactor my CLAUDE.md"
- "split my agent instructions"
- "organize my CLAUDE.md file"
- "my AGENTS.md is too long"
- "progressive disclosure for my instructions"View the complete source on GitHubbackend-to-frontend-handoff-docs
When your agent uses it
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,200 tokensWhen the skill is activated
Reference documents
2,014 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Goal
- Inputs
- Workflow
- Output Format
- Data Models / DTOs
- Enums & Constants
- Validation Rules
- Business Logic & Edge Cases
- Integration Notes
- Test Scenarios
- Open Questions / TODOs
Files
README.mddoc8,861 bytesSKILL.mdcore5,252 bytes
Read SKILL.md
# API Handoff Mode
> **No Chat Output**: Produce the handoff document only. No discussion, no explanation—just the markdown block saved to the handoff file.
You are a backend developer completing API work. Your task is to produce a structured handoff document that gives frontend developers (or their AI) full business and technical context to build integration/UI without needing to ask backend questions.
> **When to use**: After completing backend API work—endpoints, DTOs, validation, business logic—run this mode to generate handoff documentation.
> **Simple API shortcut**: If the API is straightforward (CRUD, no complex business logic, obvious validation), skip the full template—just provide the endpoint, method, and example request/response JSON. Frontend can infer the rest.
## Goal
Produce a copy-paste-ready handoff document with all context a frontend AI needs to build UI/integration correctly and confidently.
## InputsView the complete source on GitHubc4-architecture
When your agent uses it
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
2,594 tokensWhen the skill is activated
Reference documents
13,517 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- C4 Diagram Levels
- Quick Start Examples
- Element Syntax
- Styling and Layout
- Best Practices
- Microservices Guidelines
- Output Location
- Audience-Appropriate Detail
- References
Files
README.mddoc7,072 bytesSKILL.mdcore10,575 bytesreferences/advanced-patterns.mddoc18,346 bytesreferences/c4-syntax.mddoc14,564 bytesreferences/common-mistakes.mddoc12,441 bytes
Read SKILL.md
# C4 Architecture Documentation
Generate software architecture documentation using C4 model diagrams in Mermaid syntax.
## Workflow
1. **Understand scope** - Determine which C4 level(s) are needed based on audience
2. **Analyze codebase** - Explore the system to identify components, containers, and relationships
3. **Generate diagrams** - Create Mermaid C4 diagrams at appropriate abstraction levels
4. **Document** - Write diagrams to markdown files with explanatory context
## C4 Diagram Levels
Select the appropriate level based on the documentation need:View the complete source on GitHubcodex
When your agent uses it
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,336 tokensWhen the skill is activated
Reference documents
543 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Running a Task
- Model Options
- Following Up
- Error Handling
- CLI Version
Files
README.mddoc2,185 bytesSKILL.mdcore5,185 bytes
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# Codex Skill Guide
## Running a Task
1. Default to `gpt-5.2` model. Ask the user (via `AskUserQuestion`) which reasoning effort to use (`xhigh`,`high`, `medium`, or `low`). User can override model if needed (see Model Options below).
2. Select the sandbox mode required for the task; default to `--sandbox read-only` unless edits or network access are necessary.
3. Assemble the command with the appropriate options:
- `-m, --model <MODEL>`
- `--config model_reasoning_effort="<high|medium|low>"`
- `--sandbox <read-only|workspace-write|danger-full-access>`
- `--full-auto`
- `-C, --cd <DIR>`
- `--skip-git-repo-check`
3. Always use --skip-git-repo-check.
4. When continuing a previous session, use `codex exec --skip-git-repo-check resume --last` via stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax: `echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null`. All flags have to be inserted between exec and resume.View the complete source on GitHubcommand-creator
When your agent uses it
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,564 tokensWhen the skill is activated
Reference documents
12,647 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- About Slash Commands
- When to Use This Skill
- Bundled Resources
- Command Structure Overview
- Command Creation Workflow
- Quick Tips
- Summary
Files
README.mddoc15,507 bytesSKILL.mdcore6,966 bytesSKILL.mdcore6,966 bytesreferences/best-practices.mddoc13,806 bytesreferences/examples.mddoc15,806 bytesreferences/patterns.mddoc9,002 bytes
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# Command Creator
This skill guides the creation of Claude Code slash commands - reusable workflows that can be invoked with `/command-name` in Claude Code conversations.
## About Slash Commands
Slash commands are markdown files stored in `.claude/commands/` (project-level) or `~/.claude/commands/` (global/user-level) that get expanded into prompts when invoked. They're ideal for:
- Repetitive workflows (code review, PR submission, CI fixing)
- Multi-step processes that need consistency
- Agent delegation patterns
- Project-specific automation
## When to Use This SkillView the complete source on GitHubcommit-work
When your agent uses it
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
583 tokensWhen the skill is activated
Reference documents
1,211 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Goal
- Inputs to ask for (if missing)
- Workflow (checklist)
- Deliverable
Files
README.mddoc4,921 bytesSKILL.mdcore2,484 bytesreferences/commit-message-template.mddoc347 bytes
Read SKILL.md
# Commit work
## Goal
Make commits that are easy to review and safe to ship:
- only intended changes are included
- commits are logically scoped (split when needed)
- commit messages describe what changed and why
## Inputs to ask for (if missing)
- Single commit or multiple commits? (If unsure: default to multiple small commits when there are unrelated changes.)
- Commit style: Conventional Commits are required.
- Any rules: max subject length, required scopes.
## Workflow (checklist)View the complete source on GitHubcrafting-effective-readmes
When your agent uses it
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
630 tokensWhen the skill is activated
Reference documents
13,372 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Process
- Project Types
- Essential Sections (All Types)
- References
Files
README.mddoc6,186 bytesSKILL.mdcore2,676 bytesreferences/art-of-readme.mddoc24,440 bytesreferences/make-a-readme.mddoc6,679 bytesreferences/standard-readme-example-maximal.mddoc1,586 bytesreferences/standard-readme-example-minimal.mddoc169 bytesreferences/standard-readme-spec.mddoc9,864 bytessection-checklist.mddoc680 bytesstyle-guide.mddoc434 bytestemplates/internal.mddoc1,952 bytestemplates/oss.mddoc1,667 bytestemplates/personal.mddoc1,078 bytestemplates/xdg-config.mddoc1,478 bytesusing-references.mddoc1,325 bytes
Read SKILL.md
# Crafting Effective READMEs
## Overview
READMEs answer questions your audience will have. Different audiences need different information - a contributor to an OSS project needs different context than future-you opening a config folder.
**Always ask:** Who will read this, and what do they need to know?
## Process
### Step 1: Identify the Task
**Ask:** "What README task are you working on?"
View the complete source on GitHubdaily-meeting-update
When your agent uses it
Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,888 tokensWhen the skill is activated
Reference documents
1,760 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Phase 1: Detect & Offer Integrations
- Phase 2: Interview (with insights)
- Phase 3: Generate Update
- Core Principles
- Quick Reference
- Example Session
- Output Example
- Anti-Patterns
- NEVER
Scripts executed separately
scripts/claude_digest.py
Files
README.mddoc7,533 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesscripts/claude_digest.pyruns10,692 bytes
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# Daily Meeting Update
Generate a daily standup/meeting update through an **interactive interview**. Never assume tools are configured—ask first.
---
## Workflow
```
START
│
▼
┌─────────────────────────────────────────────────────┐
│ Phase 1: DETECT & OFFER INTEGRATIONS │View the complete source on GitHubdatabase-schema-designer
When your agent uses it
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
4,192 tokensWhen the skill is activated
Reference documents
2,530 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Key Terms
- Quick Reference
- Process Overview
- Commands
- Core Principles
- Anti-Patterns
- Verification Checklist
- Extension Points
Files
README.mddoc7,540 bytesSKILL.mdcore17,633 bytesSKILL.mdcore17,633 bytesassets/templates/migration-template.sqlasset1,922 bytesreferences/schema-design-checklist.mddoc3,384 bytes
Read SKILL.md
# Database Schema Designer
Design production-ready database schemas with best practices built-in.
---
## Quick Start
Just describe your data model:
```
design a schema for an e-commerce platform with users, products, orders
```
View the complete source on GitHubdatadog-cli
When your agent uses it
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
1,007 tokensWhen the skill is activated
Reference documents
5,031 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Required Reading
- Setup
- Commands Overview
- Quick Examples
- Global Flags
- Time Formats
- Incident Triage Workflow
Files
README.mddoc2,584 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesSKILL.mdcore3,511 bytesreferences/dashboards.mddoc6,564 bytesreferences/logs-commands.mddoc3,048 bytesreferences/metrics.mddoc1,383 bytesreferences/query-syntax.mddoc1,374 bytesreferences/workflows.mddoc2,781 bytes
Read SKILL.md
# Datadog CLI
A CLI tool for AI agents to debug and triage using Datadog logs and metrics.
## Required Reading
**You MUST read the relevant reference docs before using any command:**
- [Log Commands](references/logs-commands.md)
- [Metrics](references/metrics.md)
- [Query Syntax](references/query-syntax.md)
- [Workflows](references/workflows.md)
- [Dashboards](references/dashboards.md)
## SetupView the complete source on GitHubdependency-updater
When your agent uses it
Smart dependency management for any language. Auto-detects project type, applies safe updates automatically, prompts for major versions, diagnoses and fixes dependency issues.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
2,812 tokensWhen the skill is activated
Reference documents
2,016 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Supported Languages
- Quick Reference
- Workflow
- Commands by Language
- Diagnosis Mode
- Security Audit
- Anti-Patterns
- Verification Checklist
- Script Reference
- Related Tools
Scripts executed separately
scripts/check-tool.shscripts/run-taze.sh
Files
README.mddoc8,367 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesSKILL.mdcore11,699 bytesscripts/check-tool.shruns520 bytesscripts/run-taze.shruns638 bytes
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# Dependency Updater
Smart dependency management for any language with automatic detection and safe updates.
---
## Quick Start
```
update my dependencies
```
The skill auto-detects your project type and handles the rest.
View the complete source on GitHubdesign-system-starter
When your agent uses it
Create and evolve design systems with design tokens, component architecture, accessibility guidelines, and documentation templates. Ensures consistent, scalable, and accessible UI across products.
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
4,095 tokensWhen the skill is activated
Reference documents
8,486 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Quick Reference
- Bundled Resources
- Design System Philosophy
- Design Tokens
- Component Architecture
- Component API Design
- Theming and Dark Mode
- Accessibility Guidelines
- Documentation Standards
- Design System Workflow
- Quick Start Checklist
Scripts executed separately
templates/component-template.tsx
Files
README.mddoc7,652 bytesSKILL.mdcore14,918 byteschecklists/design-system-checklist.mddoc12,943 bytesreferences/component-examples.mddoc13,552 bytestemplates/component-template.tsxruns6,722 bytestemplates/design-tokens-template.jsonasset17,128 bytes
Read SKILL.md
# Design System Starter
Build robust, scalable design systems that ensure visual consistency and exceptional user experiences.
---
## Quick Start
Just describe what you need:
```
Create a design system for my React app with dark mode support
```
View the complete source on GitHubdifficult-workplace-conversations
When your agent uses it
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,539 tokensWhen the skill is activated
Reference documents
9,831 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 Framework: Preparation-Delivery-Followup
- Key Principles
- Conversation Types
- References (Load When Needed)
- See Also
- Example Scenarios
- Anti-Patterns to Avoid
- Success Metrics
Files
README.mddoc9,260 bytesSKILL.mdcore7,277 bytesreferences/conversation-framework.mddoc9,460 bytesreferences/delivery-scripts.mddoc8,854 bytesreferences/emotional-regulation.mddoc8,812 bytesreferences/preparation-template.mddoc7,357 bytes
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# Difficult Conversations Skill
A structured framework for approaching challenging workplace conversations including conflicts, performance issues, sensitive feedback, and emotionally charged discussions.
## When to Use This Skill
- Preparing for a challenging conversation with a colleague
- Addressing performance issues with a team member
- Delivering difficult feedback to a peer or manager
- Navigating conflict between team members
- Discussing sensitive topics (salary, promotion, termination)
- Handling emotional or defensive reactions
- Following up after difficult discussions
View the complete source on GitHubdomain-name-brainstormer
When your agent uses it
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,369 tokensWhen the skill is activated
Reference documents
1,004 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
- Example
- Domain Naming Tips
- Advanced Features
- Example Workflows
- Tips for Success
- Pricing Context
- Related Tools
Files
README.mddoc4,179 bytesSKILL.mdcore5,696 bytes
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# Domain Name Brainstormer
This skill helps you find the perfect domain name for your project by generating creative options and checking what's actually available to register.
## When to Use This Skill
- Starting a new project or company
- Launching a product or service
- Creating a personal brand or portfolio site
- Rebranding an existing project
- Registering a domain for a side project
- Finding available alternatives when your first choice is taken
## What This Skill DoesView the complete source on GitHubdraw-io
When your agent uses it
draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,032 tokensWhen the skill is activated
Reference documents
10,029 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Basic Rules
- 2. Font Settings
- 3. Conversion Commands
- 4. Layout Adjustment
- 5. Design Principles
- 6. Best Practices
- 7. Reference
- 8. Checklist
- 9. Image Display in reveal.js Slides
Scripts executed separately
scripts/convert-drawio-to-png.shscripts/find_aws_icon.py
Files
README.mddoc7,854 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesreferences/aws-icons.mddoc28,597 bytesreferences/layout-guidelines.mddoc1,515 bytesscripts/convert-drawio-to-png.shruns638 bytesscripts/find_aws_icon.pyruns2,208 bytes
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# draw.io Diagram Skill
## 1. Basic Rules
- Edit only `.drawio` files
- Do not directly edit `.drawio.png` files
- Use auto-generated `.drawio.png` by pre-commit hook in slides
## 2. Font Settings
For diagrams used in Quarto slides,
specify `defaultFontFamily` in mxGraphModel tag:
```xmlView the complete source on GitHubexcalidraw
When your agent uses it
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,895 tokensWhen the skill is activated
Reference documents
2,366 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- The Problem
- When to Use
- Delegation Pattern
- Common Rationalizations (STOP and Delegate Instead)
- Red Flags - STOP and Delegate
- Quick Reference
- Token Analysis (Why This Matters)
- Implementation Example
- Why "Straightforward JSON" Doesn't Matter
- The Iron Law
Files
README.mddoc10,326 bytesSKILL.mdcore8,071 bytes
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# Excalidraw Subagent Delegation
## Overview
**Core principle:** Main agents NEVER read Excalidraw files directly. Always delegate to subagents to isolate context consumption.
Excalidraw files are JSON with high token cost but low information density. Single files range from 4k-22k tokens (largest can exceed read tool limits). Reading multiple diagrams quickly exhausts context budget (7 files = 67k tokens = 33% of budget).
## The Problem
Excalidraw JSON structure:
- Each shape has 20+ properties (x, y, width, height, strokeColor, seed, version, etc.)
- Most properties are visual metadata (positioning, styling, roughness)
- Actual content: text labels and element relationships (<10% of file)View the complete source on GitHubfeedback-mastery
When your agent uses it
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
2,490 tokensWhen the skill is activated
Reference documents
8,014 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Frameworks
- Preparation Phase
- Delivery Phase
- Follow-up Phase
- SBI Examples for Software Teams
- Common Difficult Scenarios
- Receiving Feedback Well
- Quick Reference: Difficult Conversation Checklist
- Companion Resources
- Recommended Reading
Files
README.mddoc9,924 bytesSKILL.mdcore11,541 bytesreferences/difficult-conversation-scripts.mddoc10,232 bytesreferences/expectation-alignment.mddoc8,398 bytesreferences/feedback-sbi-model.mddoc8,623 bytes
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# Feedback Conversations
## Overview
This skill provides frameworks for navigating difficult workplace conversations and delivering effective feedback. Whether you're addressing performance issues, resolving conflicts, or giving constructive feedback, these structured approaches lead to better outcomes.
**Core insight:** Research shows that employees who approach difficult conversations with preparation and a clear framework are **60% more likely to reach a positive resolution** than those who engage without a plan.
## When to Use This Skill
Use this skill when:
- Preparing to give feedback to a colleague or direct report
- Addressing performance issues or missed expectationsView the complete source on GitHubfrontend-to-backend-requirements
When your agent uses it
Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
1,310 tokensWhen the skill is activated
Reference documents
1,147 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Point
- What You Own vs. What Backend Owns
- Workflow
- Output Format
- Good vs. Bad Requests
- Encouraging Pushback
- Rules
- After Backend Responds
Files
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# Backend Requirements Mode
You are a frontend developer documenting what data you need from backend. You describe the **what**, not the **how**. Backend owns implementation details.
> **No Chat Output**: ALL responses go to `.claude/docs/ai/<feature-name>/backend-requirements.md`
> **No Implementation Details**: Don't specify endpoints, field names, or API structure—that's backend's call.
---
## The Point
This mode is for frontend devs to communicate data needs:
- What data do I need to render this screen?
- What actions should the user be able to perform?View the complete source on GitHubgame-changing-features
When your agent uses it
Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,921 tokensWhen the skill is activated
Reference documents
1,780 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Point
- Session Setup
- Workflow
- Idea Categories to Explore
- Output Format
- Rules
- Prompts to Unstick Thinking
Files
README.mddoc8,102 bytesSKILL.mdcore7,905 bytes
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# 10x Mode
You are a product strategist with founder mentality. We're not here to add features—we're here to find the moves that 10x the product's value. Think like you own this. What would make users unable to live without it?
> **No Chat Output**: ALL responses go to `.claude/docs/ai/<product-or-area>/10x/session-N.md`
> **No Code**: This is pure strategy. Implementation comes later.
---
## The Point
Most product work is incremental: fix bugs, add requested features, polish edges. That's necessary but not sufficient.
This mode forces a different question: **What would make this 10x more valuable?**View the complete source on GitHubgemini
When your agent uses it
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
2,510 tokensWhen the skill is activated
Reference documents
2,690 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use Gemini
- ⚠<U+FE0F> Critical: Background/Non-Interactive Mode Warning
- Running a Task
- Common Use Cases
- Following Up
- Error Handling
- Troubleshooting Hung Gemini Processes
- Tips for Large Context Processing
- CLI Version
Files
README.mddoc11,153 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytesSKILL.mdcore9,843 bytes
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# Gemini Skill Guide
## When to Use Gemini
- WHEN ASKED TO BE ACTIVATED
- **Code Review**: Comprehensive code reviews across multiple files
- **Plan Review**: Analyzing architectural plans, technical specifications, or project roadmaps
- **Big Context Processing**: Tasks requiring >200k tokens of context (entire codebases, documentation sets)
- **Multi-file Analysis**: Understanding relationships and patterns across many files
## ⚠<U+FE0F> Critical: Background/Non-Interactive Mode Warning
**NEVER use `--approval-mode default` in background or non-interactive shells** (like Claude Code tool calls). It will hang indefinitely waiting for approval prompts that cannot be provided.
**For automated/background reviews:**View the complete source on GitHubgepetto
When your agent uses it
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
2,583 tokensWhen the skill is activated
Reference documents
7,993 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CRITICAL: First Actions
- Logging Format
- Workflow
Files
README.mddoc18,058 bytesSKILL.mdcore12,148 bytesreferences/external-review.mddoc3,417 bytesreferences/interview-protocol.mddoc1,973 bytesreferences/research-protocol.mddoc6,587 bytesreferences/section-index.mddoc3,247 bytesreferences/section-splitting.mddoc4,038 bytes
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# Gepetto
Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections
## CRITICAL: First Actions
**BEFORE anything else**, do these in order:
### 1. Print Intro
Print intro banner immediately:
```
═══════════════════════════════════════════════════════════════
GEPETTO: AI-Assisted Implementation PlanningView the complete source on GitHubhumanizer
When your agent uses it
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
3,867 tokensWhen the skill is activated
Reference documents
1,342 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Your Task
- PERSONALITY AND SOUL
- CONTENT PATTERNS
- LANGUAGE AND GRAMMAR PATTERNS
- STYLE PATTERNS
- COMMUNICATION PATTERNS
- FILLER AND HEDGING
- Process
- Output Format
- Full Example
- Reference
Files
README.mddoc5,406 bytesSKILL.mdcore17,858 bytes
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# Humanizer: Remove AI Writing Patterns
You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
## Your Task
When given text to humanize:
1. **Identify AI patterns** - Scan for the patterns listed below
2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives
3. **Preserve meaning** - Keep the core message intact
4. **Maintain voice** - Match the intended tone (formal, casual, technical, etc.)
5. **Add soul** - Don't just remove bad patterns; inject actual personality
View the complete source on GitHubjira
When your agent uses it
Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,536 tokensWhen the skill is activated
Reference documents
6,458 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Backend Detection
- Quick Reference (CLI)
- Quick Reference (MCP)
- Triggers
- Issue Key Detection
- Workflow
- Before Any Operation
- NEVER
- Safety
- No Backend Available
- Deep Dive
Files
README.mddoc8,744 bytesSKILL.mdcore6,106 bytesreferences/commands.mddoc4,594 bytesreferences/mcp.mddoc11,894 bytes
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# Jira
Natural language interaction with Jira. Supports multiple backends.
## Backend Detection
**Run this check first** to determine which backend to use:
```
1. Check if jira CLI is available:
→ Run: which jira
→ If found: USE CLI BACKEND
2. If no CLI, check for Atlassian MCP:View the complete source on GitHublesson-learned
When your agent uses it
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,097 tokensWhen the skill is activated
Reference documents
2,293 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Begin
- Phase 1: Determine Scope
- Phase 2: Gather Changes
- Phase 3: Analyze
- Phase 4: Present the Lesson
- What NOT to Do
- Conversation Style
Files
README.mddoc2,767 bytesSKILL.mdcore4,749 bytesreferences/anti-patterns.mddoc2,826 bytesreferences/se-principles.mddoc5,865 bytes
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# Lesson Learned
Extract specific, grounded software engineering lessons from actual code changes. Not a lecture -- a mirror. Show the user what their code already demonstrates.
## Before You Begin
**Load the principles reference first.**
1. Read `references/se-principles.md` to have the principle catalog available
2. Optionally read `references/anti-patterns.md` if you suspect the changes include areas for improvement
3. Determine the scope of analysis (see Phase 1)
**Do not proceed until you've loaded at least `se-principles.md`.**
View the complete source on GitHubmarp-slide
When your agent uses it
Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,134 tokensWhen the skill is activated
Reference documents
17,041 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Quick Start
- Available Themes
- Creating Slides Process
- Handling "Make It Look Good" Requests
- Image Integration
- File Output
- Quality Checklist
- References
Files
README.mddoc7,664 bytesSKILL.mdcore8,772 bytesassets/template-basic.mddoc2,127 bytesassets/template-business.mddoc2,855 bytesassets/template-colorful.mddoc2,810 bytesassets/template-dark.mddoc2,400 bytesassets/template-gradient.mddoc2,766 bytesassets/template-minimal.mddoc1,895 bytesassets/template-tech.mddoc2,869 bytesassets/theme-business.cssasset3,709 bytesassets/theme-colorful.cssasset2,961 bytesassets/theme-dark.cssasset2,481 bytesassets/theme-default.cssasset2,530 bytesassets/theme-gradient.cssasset3,019 bytesassets/theme-minimal.cssasset1,734 bytesassets/theme-tech.cssasset3,599 bytesreferences/advanced-features.mddoc6,771 bytesreferences/best-practices.mddoc3,417 bytesreferences/image-patterns.mddoc4,911 bytesreferences/marp-syntax.mddoc3,630 bytesreferences/official-themes.mddoc5,587 bytesreferences/theme-css-guide.mddoc5,464 bytesreferences/theme-selection.mddoc4,001 bytes
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# Marp Slide Creator
Create professional, visually appealing Marp presentation slides with 7 pre-designed themes and built-in best practices.
## When to Use This Skill
Use this skill when the user:
- Requests to create presentation slides or Marp documents
- Asks to "make slides look good" or "improve slide design"
- Provides vague instructions like "良い感じにして" (make it nice) or "かっこよく" (make it cool)
- Wants to create lecture or seminar materials
- Needs bullet-point focused slides with occasional images
## Quick StartView the complete source on GitHubmeme-factory
When your agent uses it
Generate memes using the memegen.link API. Use when users request memes, want to add humor to content, or need visual aids for social media. Supports 100+ popular templates with custom text and styling.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
2,003 tokensWhen the skill is activated
Reference documents
10,417 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Quick Reference
- Quick Start
- Popular Templates
- Template Selection Guide
- Validation
- Anti-Patterns
- Verification
- References
- Summary
Scripts executed separately
scripts/meme_generator.py
Files
README.mddoc6,710 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesreferences/examples.mddoc11,044 bytesreferences/markdown-memes-guide.mddoc23,970 bytesscripts/meme_generator.pyruns8,287 bytes
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# Meme Factory
Create memes using the free memegen.link API and textual meme formats.
---
## Triggers
| Trigger | Description |
|---------|-------------|
| `/meme-factory` | Manual invocation |
| `/meme-factory {template} {top} {bottom}` | Direct meme generation |
| `meme-factory: create a meme about X` | Natural language request |
View the complete source on GitHubmermaid-diagrams
When your agent uses it
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,692 tokensWhen the skill is activated
Reference documents
19,526 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Syntax Structure
- Diagram Type Selection Guide
- Quick Start Examples
- Detailed References
- Best Practices
- Configuration and Theming
- Exporting and Rendering
- Common Pitfalls
- When to Create Diagrams
Files
README.mddoc9,352 bytesSKILL.mdcore7,479 bytesreferences/advanced-features.mddoc10,365 bytesreferences/architecture-diagrams.mddoc4,858 bytesreferences/c4-diagrams.mddoc15,266 bytesreferences/class-diagrams.mddoc6,915 bytesreferences/erd-diagrams.mddoc12,348 bytesreferences/flowcharts.mddoc9,844 bytesreferences/sequence-diagrams.mddoc9,213 bytes
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# Mermaid Diagramming
Create professional software diagrams using Mermaid's text-based syntax. Mermaid renders diagrams from simple text definitions, making diagrams version-controllable, easy to update, and maintainable alongside code.
## Core Syntax Structure
All Mermaid diagrams follow this pattern:
```mermaid
diagramType
definition content
```
**Key principles:**View the complete source on GitHubmui
When your agent uses it
Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks. Use when working with MUI components, styling with sx prop, theme customization, or MUI utilities.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
2,553 tokensWhen the skill is activated
Reference documents
9,180 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Quick Start
- Styling Patterns
- Common Components
- Theme Integration
- Responsive Design
- Forms
- Common Patterns
- MUI-Specific Hooks
- Icons
- Best Practices
- Additional Resources
Files
README.mddoc6,306 bytesSKILL.mdcore9,772 bytesresources/component-library.mddoc11,484 bytesresources/styling-guide.mddoc5,441 bytesresources/theme-customization.mddoc10,358 bytesskill-rules-fragment.jsonasset1,816 bytes
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# MUI v7 Patterns
## Purpose
Material-UI v7 (released March 2025) patterns for component usage, styling with sx prop, theme integration, and responsive design.
**Note**: MUI v7 breaking changes from v6:
- Deep imports no longer work - use package exports field
- `onBackdropClick` removed from Modal - use `onClose` instead
- All components now use standardized `slots` and `slotProps` pattern
- CSS layers support via `enableCssLayer` config (works with Tailwind v4)
## When to Use This Skill
View the complete source on GitHubnaming-analyzer
When your agent uses it
Suggest better variable, function, and class names based on context and conventions.
What it loads into context
Frontmatter
23 tokensAlways available to the agent
SKILL.md
2,408 tokensWhen the skill is activated
Reference documents
1,741 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Instructions
- Naming Conventions by Language
- Common Naming Issues
- Usage Examples
- Report Format
- Naming Decision Tree
- Notes
Files
README.mddoc7,401 bytesSKILL.mdcore9,255 bytes
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# Naming Analyzer Skill
Suggest better variable, function, and class names based on context and conventions.
## Instructions
You are a naming convention expert. When invoked:
1. **Analyze Existing Names**:
- Variables, constants, functions, methods
- Classes, interfaces, types
- Files and directories
- Database tables and columns
- API endpointsView the complete source on GitHubopenapi-to-typescript
When your agent uses it
Converts OpenAPI 3.0 JSON/YAML to TypeScript interfaces and type guards. This skill should be used when the user asks to generate types from OpenAPI, convert schema to TS, create API interfaces, or generate TypeScript types from an API specification.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,943 tokensWhen the skill is activated
Reference documents
1,936 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Workflow
- OpenAPI Validation
- Type Mapping
- Code Generation
- $ref Resolution
- Complete Example
- Common Errors
Files
README.mddoc8,279 bytesSKILL.mdcore8,004 bytes
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# OpenAPI to TypeScript
Converts OpenAPI 3.0 specifications to TypeScript interfaces and type guards.
**Input:** OpenAPI file (JSON or YAML)
**Output:** TypeScript file with interfaces and type guards
## When to Use
- "generate types from openapi"
- "convert openapi to typescript"
- "create API interfaces"
- "generate types from spec"
View the complete source on GitHubperplexity
When your agent uses it
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
992 tokensWhen the skill is activated
Reference documents
1,460 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- Perplexity Search
- Perplexity Ask
- Prohibited Tool
- Tool Selection Chain
- Examples
- Key Points
Files
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# Perplexity Tools
Use ONLY when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7), gt CLI (use Graphite MCP), or workspace questions (use Nx MCP).
## Quick Reference
**Which Perplexity tool?**
- Need search results/URLs? → **Perplexity Search**
- Need conversational answer? → **Perplexity Ask**
- Need deep research? → **Researcher agent** (`/research <topic>`)
**NOT Perplexity - use these instead:**
- Library/framework docs → **Context7 MCP**
- Graphite `gt` CLI → **Graphite MCP**View the complete source on GitHubplugin-forge
When your agent uses it
Create and manage Claude Code plugins with proper structure, manifests, and marketplace integration. Use when creating plugins for a marketplace, adding plugin components (commands, agents, hooks), bumping plugin versions, or working with plugin.json/marketplace.json manifests.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
1,273 tokensWhen the skill is activated
Reference documents
4,266 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Getting Started
- Development Workflow
- Plugin Patterns
- Command Naming
- Version Management
- Git Commits
- Reference Docs
Scripts executed separately
scripts/bump_version.pyscripts/create_plugin.py
Files
README.mddoc8,779 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesreferences/marketplace-schema.mddoc2,464 bytesreferences/plugin-structure.mddoc2,784 bytesreferences/workflows.mddoc3,933 bytesscripts/bump_version.pyruns3,354 bytesscripts/create_plugin.pyruns4,637 bytes
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# CC Plugin Forge
## Purpose
Build and manage Claude Code plugins with correct structure, manifests, and marketplace integration. Includes workflows, automation scripts, and reference docs.
## When to Use
- Creating new plugins for a marketplace
- Adding/modifying plugin components (commands, skills, agents, hooks)
- Updating plugin versions
- Working with plugin or marketplace manifests
- Setting up local plugin testing
- Publishing pluginsView the complete source on GitHubprofessional-communication
When your agent uses it
Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing meeting communications, or improving written communication.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
2,035 tokensWhen the skill is activated
Reference documents
8,421 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Frameworks
- Email Best Practices
- Team Messaging Etiquette
- Technical vs Non-Technical Communication
- Writing Clarity Principles
- Meeting Communication
- Quick Reference: Communication Checklist
- Additional Tools
- Companion Skills
- Version History
Files
README.mddoc6,609 bytesSKILL.mdcore9,008 bytesreferences/email-templates.mddoc5,783 bytesreferences/jargon-simplification.mddoc8,071 bytesreferences/meeting-structures.mddoc8,834 bytesreferences/remote-async-communication.mddoc8,075 bytes
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# Professional Communication
## Overview
This skill provides frameworks and guidance for effective professional communication in software development contexts. Whether you're writing an email to stakeholders, crafting a team chat message, or preparing meeting agendas, these principles help you communicate clearly and build professional credibility.
**Core principle:** Effective communication isn't about proving how much you know - it's about ensuring your message is received and understood.
## When to Use This Skill
Use this skill when:
- Writing emails to teammates, managers, or stakeholders
- Crafting team chat messages or async communicationsView the complete source on GitHubqa-test-planner
When your agent uses it
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
4,493 tokensWhen the skill is activated
Reference documents
10,648 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Quick Reference
- How It Works
- Commands
- Core Deliverables
- Anti-Patterns
- Verification Checklist
- References
- Examples
Scripts executed separately
scripts/create_bug_report.shscripts/generate_test_cases.sh
Files
README.mddoc10,887 bytesSKILL.mdcore18,921 bytesreferences/bug_report_templates.mddoc8,607 bytesreferences/figma_validation.mddoc7,046 bytesreferences/regression_testing.mddoc7,273 bytesreferences/test_case_templates.mddoc9,220 bytesscripts/create_bug_report.shruns5,912 bytesscripts/generate_test_cases.shruns6,624 bytes
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# QA Test Planner
A comprehensive skill for QA engineers to create test plans, generate manual test cases, build regression test suites, validate designs against Figma, and document bugs effectively.
> **Activation:** This skill is triggered only when explicitly called by name (e.g., `/qa-test-planner`, `qa-test-planner`, or `use the skill qa-test-planner`).
---
## Quick Start
**Create a test plan:**
```
"Create a test plan for the user authentication feature"
```View the complete source on GitHubreact-dev
When your agent uses it
This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
2,510 tokensWhen the skill is activated
Reference documents
27,340 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
README.mddoc13,200 bytesSKILL.mdcore10,288 bytesexamples/generic-components.mddoc12,902 bytesexamples/server-components.mddoc13,227 bytesreferences/event-handlers.mddoc14,375 bytesreferences/hooks.mddoc10,977 bytesreferences/react-19-patterns.mddoc14,078 bytesreferences/react-router.mddoc20,074 bytesreferences/tanstack-router.mddoc12,253 bytes
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# React TypeScript
Type-safe React = compile-time guarantees = confident refactoring.
<when_to_use>
- Building typed React components
- Implementing generic components
- Typing event handlers, forms, refs
- Using React 19 features (Actions, Server Components, use())
- Router integration (TanStack Router, React Router)
- Custom hooks with proper typing
NOT for: non-React TypeScript, vanilla JS ReactView the complete source on GitHubreact-useeffect
When your agent uses it
React useEffect best practices from official docs. Use when writing/reviewing useEffect, useState for derived values, data fetching, or state synchronization. Teaches when NOT to use Effect and better alternatives.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
545 tokensWhen the skill is activated
Reference documents
5,382 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- When You DO Need Effects
- When You DON'T Need Effects
- Decision Tree
- Detailed Guidance
Files
README.mddoc10,084 bytesSKILL.mdcore2,351 bytesalternatives.mddoc5,865 bytesanti-patterns.mddoc6,145 bytes
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# You Might Not Need an Effect
Effects are an **escape hatch** from React. They let you synchronize with external systems. If there is no external system involved, you shouldn't need an Effect.
## Quick Reference
| Situation | DON'T | DO |
|-----------|-------|-----|
| Derived state from props/state | `useState` + `useEffect` | Calculate during render |
| Expensive calculations | `useEffect` to cache | `useMemo` |
| Reset state on prop change | `useEffect` with `setState` | `key` prop |
| User event responses | `useEffect` watching state | Event handler directly |
| Notify parent of changes | `useEffect` calling `onChange` | Call in event handler |
| Fetch data | `useEffect` without cleanup | `useEffect` with cleanup OR framework |View the complete source on GitHubreducing-entropy
When your agent uses it
Manual-only skill for minimizing total codebase size. Only activate when explicitly requested by user. Measures success by final code amount, not effort. Bias toward deletion.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
597 tokensWhen the skill is activated
Reference documents
3,809 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Begin
- The Goal
- Three Questions
- Red Flags
- When This Doesn't Apply
- Reference Mindsets
Files
README.mddoc4,843 bytesSKILL.mdcore2,557 bytesadding-reference-mindsets.mddoc3,427 bytesreferences/data-over-abstractions.mddoc1,894 bytesreferences/design-is-taking-apart.mddoc2,265 bytesreferences/expensive-to-add-later.mddoc2,497 bytesreferences/simplicity-vs-easy.mddoc1,707 bytes
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# Reducing Entropy
More code begets more code. Entropy accumulates. This skill biases toward the smallest possible codebase.
**Core question:** "What does the codebase look like *after*?"
## Before You Begin
**Load at least one mindset from `references/`**
1. List the files in the reference directory
2. Read frontmatter descriptions to pick which applies
3. Load at least one
4. State which you loaded and its core principleView the complete source on GitHubrequirements-clarity
When your agent uses it
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
2,142 tokensWhen the skill is activated
Reference documents
1,978 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Instructions
- Core Principles
- Clarification Process
- PRD Document Structure
- Behavioral Guidelines
- Success Criteria
Files
README.mddoc9,297 bytesSKILL.mdcore9,314 bytes
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# Requirements Clarity Skill
## Description
Automatically transforms vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system.
## Instructions
When invoked, detect vague requirements:
1. **Vague Feature Requests**
- User says: "add login feature", "implement payment", "create dashboard"
- Missing: How, with what technology, what constraints?View the complete source on GitHubsession-handoff
When your agent uses it
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,470 tokensWhen the skill is activated
Reference documents
6,531 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Mode Selection
- CREATE Workflow
- RESUME Workflow
- Handoff Chaining
- Storage Location
- Resources
Scripts executed separately
evals/setup_test_env.pyscripts/check_staleness.pyscripts/create_handoff.pyscripts/list_handoffs.pyscripts/validate_handoff.py
Files
README.mddoc7,033 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesevals/model-expectations.mddoc5,757 bytesevals/results-opus-baseline.mddoc2,704 bytesevals/setup_test_env.pyruns10,293 bytesevals/test-scenarios.mddoc5,306 bytesreferences/handoff-template.mddoc3,963 bytesreferences/resume-checklist.mddoc2,782 bytesscripts/check_staleness.pyruns12,974 bytesscripts/create_handoff.pyruns10,666 bytesscripts/list_handoffs.pyruns3,813 bytesscripts/validate_handoff.pyruns10,821 bytes
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# Handoff
Creates comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves the long-running agent context exhaustion problem.
## Mode Selection
Determine which mode applies:
**Creating a handoff?** User wants to save current state, pause work, or context is getting full.
- Follow: CREATE Workflow below
**Resuming from a handoff?** User wants to continue previous work, load context, or mentions an existing handoff.
- Follow: RESUME Workflow below
View the complete source on GitHubship-learn-next
When your agent uses it
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
2,340 tokensWhen the skill is activated
Reference documents
1,557 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 Framework: Ship-Learn-Next
- How This Skill Works
- Conversation Style
- What NOT to Do
- Key Phrases to Use
- Example Output Structure
- Processing Different Content Types
- Success Metrics
- Saving the Plan
- After Creating the Plan
Files
README.mddoc6,796 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytes
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# Ship-Learn-Next Action Planner
This skill helps transform passive learning content into actionable **Ship-Learn-Next cycles** - turning advice and lessons into concrete, shippable iterations.
## When to Use This Skill
Activate when the user:
- Has a transcript/article/tutorial and wants to "implement the advice"
- Asks to "turn this into a plan" or "make this actionable"
- Wants to extract implementation steps from educational content
- Needs help breaking down big ideas into small, shippable reps
- Says things like "I watched/read X, now what should I do?"
## Core Framework: Ship-Learn-NextView the complete source on GitHubskill-judge
When your agent uses it
Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
6,532 tokensWhen the skill is activated
Reference documents
2,006 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Philosophy
- Evaluation Dimensions (120 points total)
- NEVER Do When Evaluating
- Evaluation Protocol
- Common Failure Patterns
- Quick Reference Checklist
- The Meta-Question
- Self-Evaluation Note
Files
README.mddoc8,755 bytesSKILL.mdcore31,029 bytesSKILL.mdcore31,029 bytes
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# Skill Judge
Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples.
---
## Core Philosophy
### What is a Skill?
A Skill is NOT a tutorial. A Skill is a **knowledge externalization mechanism**.
Traditional AI knowledge is locked in model parameters. To teach new capabilities:
```View the complete source on GitHubweb-to-markdown
When your agent uses it
Use ONLY when the user explicitly says: 'use the skill web-to-markdown ...' (or 'use a skill web-to-markdown ...'). Converts webpage URLs to clean Markdown by calling the local web2md CLI (Puppeteer + Readability), suitable for JS-rendered pages.
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
944 tokensWhen the skill is activated
Reference documents
1,553 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard trigger gate (must enforce)
- What this skill does
- Non-goals
- Inputs you should collect (ask only if missing)
- Workflow
- Defaults (recommended)
Files
README.mddoc6,734 bytesSKILL.mdcore3,514 bytes
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# web-to-markdown
Convert web pages to clean Markdown by driving a locally installed browser (via `web2md`).
## Hard trigger gate (must enforce)
This skill MUST NOT be used unless the user explicitly wrote **exactly** a phrase like:
- `use the skill web-to-markdown ...`
- `use a skill web-to-markdown ...`
If the user did not explicitly request this skill by name, stop and ask them to re-issue the request including: `use the skill web-to-markdown`.
## What this skill does
View the complete source on GitHubwriting-clearly-and-concisely
When your agent uses it
Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
844 tokensWhen the skill is activated
Reference documents
38,725 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Limited Context Strategy
- Elements of Style
- AI Writing Patterns to Avoid
- Bottom Line
Files
README.mddoc6,078 bytesSKILL.mdcore3,768 byteselements-of-style/01-introductory.mddoc303 byteselements-of-style/02-elementary-rules-of-usage.mddoc12,168 byteselements-of-style/03-elementary-principles-of-composition.mddoc33,622 byteselements-of-style/04-a-few-matters-of-form.mddoc4,918 byteselements-of-style/05-words-and-expressions-commonly-misused.mddoc22,310 bytessigns-of-ai-writing.mddoc94,774 bytes
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# Writing Clearly and Concisely
## Overview
Write with clarity and force. This skill covers what to do (Strunk) and what not to do (AI patterns).
## When to Use This Skill
Use this skill whenever you write prose for humans:
- Documentation, README files, technical explanations
- Commit messages, pull request descriptions
- Error messages, UI copy, help text, comments
- Reports, summaries, or any explanationView the complete source on GitHubagent-md-refactor
When your agent uses it
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
What it loads into context
Frontmatter
47 tokensAlways available to the agent
SKILL.md
1,782 tokensWhen the skill is activated
Reference documents
1,607 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Quick Reference
- Process
- Execution Checklist
- Anti-Patterns
- Examples
- Verification
Files
README.mddoc7,326 bytesSKILL.mdcore7,473 bytes
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# Agent MD Refactor
Refactor bloated agent instruction files (AGENTS.md, CLAUDE.md, COPILOT.md, etc.) to follow **progressive disclosure principles** - keeping essentials at root and organizing the rest into linked, categorized files.
---
## Triggers
Use this skill when:
- "refactor my AGENTS.md" / "refactor my CLAUDE.md"
- "split my agent instructions"
- "organize my CLAUDE.md file"
- "my AGENTS.md is too long"
- "progressive disclosure for my instructions"View the complete source on GitHubbackend-to-frontend-handoff-docs
When your agent uses it
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,200 tokensWhen the skill is activated
Reference documents
2,014 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Goal
- Inputs
- Workflow
- Output Format
- Data Models / DTOs
- Enums & Constants
- Validation Rules
- Business Logic & Edge Cases
- Integration Notes
- Test Scenarios
- Open Questions / TODOs
Files
README.mddoc8,861 bytesSKILL.mdcore5,252 bytes
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# API Handoff Mode
> **No Chat Output**: Produce the handoff document only. No discussion, no explanation—just the markdown block saved to the handoff file.
You are a backend developer completing API work. Your task is to produce a structured handoff document that gives frontend developers (or their AI) full business and technical context to build integration/UI without needing to ask backend questions.
> **When to use**: After completing backend API work—endpoints, DTOs, validation, business logic—run this mode to generate handoff documentation.
> **Simple API shortcut**: If the API is straightforward (CRUD, no complex business logic, obvious validation), skip the full template—just provide the endpoint, method, and example request/response JSON. Frontend can infer the rest.
## Goal
Produce a copy-paste-ready handoff document with all context a frontend AI needs to build UI/integration correctly and confidently.
## InputsView the complete source on GitHubc4-architecture
When your agent uses it
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
What it loads into context
Frontmatter
86 tokensAlways available to the agent
SKILL.md
2,594 tokensWhen the skill is activated
Reference documents
13,517 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- C4 Diagram Levels
- Quick Start Examples
- Element Syntax
- Styling and Layout
- Best Practices
- Microservices Guidelines
- Output Location
- Audience-Appropriate Detail
- References
Files
README.mddoc7,072 bytesSKILL.mdcore10,575 bytesreferences/advanced-patterns.mddoc18,346 bytesreferences/c4-syntax.mddoc14,564 bytesreferences/common-mistakes.mddoc12,441 bytes
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# C4 Architecture Documentation
Generate software architecture documentation using C4 model diagrams in Mermaid syntax.
## Workflow
1. **Understand scope** - Determine which C4 level(s) are needed based on audience
2. **Analyze codebase** - Explore the system to identify components, containers, and relationships
3. **Generate diagrams** - Create Mermaid C4 diagrams at appropriate abstraction levels
4. **Document** - Write diagrams to markdown files with explanatory context
## C4 Diagram Levels
Select the appropriate level based on the documentation need:View the complete source on GitHubcodex
When your agent uses it
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,336 tokensWhen the skill is activated
Reference documents
543 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Running a Task
- Model Options
- Following Up
- Error Handling
- CLI Version
Files
README.mddoc2,185 bytesSKILL.mdcore5,185 bytes
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# Codex Skill Guide
## Running a Task
1. Default to `gpt-5.2` model. Ask the user (via `AskUserQuestion`) which reasoning effort to use (`xhigh`,`high`, `medium`, or `low`). User can override model if needed (see Model Options below).
2. Select the sandbox mode required for the task; default to `--sandbox read-only` unless edits or network access are necessary.
3. Assemble the command with the appropriate options:
- `-m, --model <MODEL>`
- `--config model_reasoning_effort="<high|medium|low>"`
- `--sandbox <read-only|workspace-write|danger-full-access>`
- `--full-auto`
- `-C, --cd <DIR>`
- `--skip-git-repo-check`
3. Always use --skip-git-repo-check.
4. When continuing a previous session, use `codex exec --skip-git-repo-check resume --last` via stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax: `echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null`. All flags have to be inserted between exec and resume.View the complete source on GitHubcommand-creator
When your agent uses it
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
1,564 tokensWhen the skill is activated
Reference documents
12,647 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- About Slash Commands
- When to Use This Skill
- Bundled Resources
- Command Structure Overview
- Command Creation Workflow
- Quick Tips
- Summary
Files
README.mddoc15,507 bytesSKILL.mdcore6,966 bytesSKILL.mdcore6,966 bytesreferences/best-practices.mddoc13,806 bytesreferences/examples.mddoc15,806 bytesreferences/patterns.mddoc9,002 bytes
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# Command Creator
This skill guides the creation of Claude Code slash commands - reusable workflows that can be invoked with `/command-name` in Claude Code conversations.
## About Slash Commands
Slash commands are markdown files stored in `.claude/commands/` (project-level) or `~/.claude/commands/` (global/user-level) that get expanded into prompts when invoked. They're ideal for:
- Repetitive workflows (code review, PR submission, CI fixing)
- Multi-step processes that need consistency
- Agent delegation patterns
- Project-specific automation
## When to Use This SkillView the complete source on GitHubcommit-work
When your agent uses it
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
583 tokensWhen the skill is activated
Reference documents
1,211 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Goal
- Inputs to ask for (if missing)
- Workflow (checklist)
- Deliverable
Files
README.mddoc4,921 bytesSKILL.mdcore2,484 bytesreferences/commit-message-template.mddoc347 bytes
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# Commit work
## Goal
Make commits that are easy to review and safe to ship:
- only intended changes are included
- commits are logically scoped (split when needed)
- commit messages describe what changed and why
## Inputs to ask for (if missing)
- Single commit or multiple commits? (If unsure: default to multiple small commits when there are unrelated changes.)
- Commit style: Conventional Commits are required.
- Any rules: max subject length, required scopes.
## Workflow (checklist)View the complete source on GitHubcrafting-effective-readmes
When your agent uses it
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
What it loads into context
Frontmatter
38 tokensAlways available to the agent
SKILL.md
630 tokensWhen the skill is activated
Reference documents
13,372 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Process
- Project Types
- Essential Sections (All Types)
- References
Files
README.mddoc6,186 bytesSKILL.mdcore2,676 bytesreferences/art-of-readme.mddoc24,440 bytesreferences/make-a-readme.mddoc6,679 bytesreferences/standard-readme-example-maximal.mddoc1,586 bytesreferences/standard-readme-example-minimal.mddoc169 bytesreferences/standard-readme-spec.mddoc9,864 bytessection-checklist.mddoc680 bytesstyle-guide.mddoc434 bytestemplates/internal.mddoc1,952 bytestemplates/oss.mddoc1,667 bytestemplates/personal.mddoc1,078 bytestemplates/xdg-config.mddoc1,478 bytesusing-references.mddoc1,325 bytes
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# Crafting Effective READMEs
## Overview
READMEs answer questions your audience will have. Different audiences need different information - a contributor to an OSS project needs different context than future-you opening a config folder.
**Always ask:** Who will read this, and what do they need to know?
## Process
### Step 1: Identify the Task
**Ask:** "What README task are you working on?"
View the complete source on GitHubdaily-meeting-update
When your agent uses it
Interactive daily standup/meeting update generator. Use when user says 'daily', 'standup', 'scrum update', 'status update', 'what did I do yesterday', 'prepare for meeting', 'morning update', or 'team sync'. Pulls activity from GitHub, Jira, and Claude Code session history. Conducts 4-question interview (yesterday, today, blockers, discussion topics) and generates formatted Markdown update.
What it loads into context
Frontmatter
105 tokensAlways available to the agent
SKILL.md
2,888 tokensWhen the skill is activated
Reference documents
1,760 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Phase 1: Detect & Offer Integrations
- Phase 2: Interview (with insights)
- Phase 3: Generate Update
- Core Principles
- Quick Reference
- Example Session
- Output Example
- Anti-Patterns
- NEVER
Scripts executed separately
scripts/claude_digest.py
Files
README.mddoc7,533 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesSKILL.mdcore12,589 bytesscripts/claude_digest.pyruns10,692 bytes
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# Daily Meeting Update
Generate a daily standup/meeting update through an **interactive interview**. Never assume tools are configured—ask first.
---
## Workflow
```
START
│
▼
┌─────────────────────────────────────────────────────┐
│ Phase 1: DETECT & OFFER INTEGRATIONS │View the complete source on GitHubdatabase-schema-designer
When your agent uses it
Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.
What it loads into context
Frontmatter
56 tokensAlways available to the agent
SKILL.md
4,192 tokensWhen the skill is activated
Reference documents
2,530 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Key Terms
- Quick Reference
- Process Overview
- Commands
- Core Principles
- Anti-Patterns
- Verification Checklist
- Extension Points
Files
README.mddoc7,540 bytesSKILL.mdcore17,633 bytesSKILL.mdcore17,633 bytesassets/templates/migration-template.sqlasset1,922 bytesreferences/schema-design-checklist.mddoc3,384 bytes
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# Database Schema Designer
Design production-ready database schemas with best practices built-in.
---
## Quick Start
Just describe your data model:
```
design a schema for an e-commerce platform with users, products, orders
```
View the complete source on GitHubdatadog-cli
When your agent uses it
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
What it loads into context
Frontmatter
42 tokensAlways available to the agent
SKILL.md
1,007 tokensWhen the skill is activated
Reference documents
5,031 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Required Reading
- Setup
- Commands Overview
- Quick Examples
- Global Flags
- Time Formats
- Incident Triage Workflow
Files
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# Datadog CLI
A CLI tool for AI agents to debug and triage using Datadog logs and metrics.
## Required Reading
**You MUST read the relevant reference docs before using any command:**
- [Log Commands](references/logs-commands.md)
- [Metrics](references/metrics.md)
- [Query Syntax](references/query-syntax.md)
- [Workflows](references/workflows.md)
- [Dashboards](references/dashboards.md)
## SetupView the complete source on GitHubdependency-updater
When your agent uses it
Smart dependency management for any language. Auto-detects project type, applies safe updates automatically, prompts for major versions, diagnoses and fixes dependency issues.
What it loads into context
Frontmatter
53 tokensAlways available to the agent
SKILL.md
2,812 tokensWhen the skill is activated
Reference documents
2,016 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Supported Languages
- Quick Reference
- Workflow
- Commands by Language
- Diagnosis Mode
- Security Audit
- Anti-Patterns
- Verification Checklist
- Script Reference
- Related Tools
Scripts executed separately
scripts/check-tool.shscripts/run-taze.sh
Files
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# Dependency Updater
Smart dependency management for any language with automatic detection and safe updates.
---
## Quick Start
```
update my dependencies
```
The skill auto-detects your project type and handles the rest.
View the complete source on GitHubdesign-system-starter
When your agent uses it
Create and evolve design systems with design tokens, component architecture, accessibility guidelines, and documentation templates. Ensures consistent, scalable, and accessible UI across products.
What it loads into context
Frontmatter
75 tokensAlways available to the agent
SKILL.md
4,095 tokensWhen the skill is activated
Reference documents
8,486 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Triggers
- Quick Reference
- Bundled Resources
- Design System Philosophy
- Design Tokens
- Component Architecture
- Component API Design
- Theming and Dark Mode
- Accessibility Guidelines
- Documentation Standards
- Design System Workflow
- Quick Start Checklist
Scripts executed separately
templates/component-template.tsx
Files
README.mddoc7,652 bytesSKILL.mdcore14,918 byteschecklists/design-system-checklist.mddoc12,943 bytesreferences/component-examples.mddoc13,552 bytestemplates/component-template.tsxruns6,722 bytestemplates/design-tokens-template.jsonasset17,128 bytes
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# Design System Starter
Build robust, scalable design systems that ensure visual consistency and exceptional user experiences.
---
## Quick Start
Just describe what you need:
```
Create a design system for my React app with dark mode support
```
View the complete source on GitHubdifficult-workplace-conversations
When your agent uses it
Structured approach to workplace conflicts, performance discussions, and challenging feedback using preparation-delivery-followup framework. Use when preparing for tough conversations, addressing conflicts, giving critical feedback, or navigating sensitive workplace discussions.
What it loads into context
Frontmatter
59 tokensAlways available to the agent
SKILL.md
1,539 tokensWhen the skill is activated
Reference documents
9,831 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 Framework: Preparation-Delivery-Followup
- Key Principles
- Conversation Types
- References (Load When Needed)
- See Also
- Example Scenarios
- Anti-Patterns to Avoid
- Success Metrics
Files
README.mddoc9,260 bytesSKILL.mdcore7,277 bytesreferences/conversation-framework.mddoc9,460 bytesreferences/delivery-scripts.mddoc8,854 bytesreferences/emotional-regulation.mddoc8,812 bytesreferences/preparation-template.mddoc7,357 bytes
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# Difficult Conversations Skill
A structured framework for approaching challenging workplace conversations including conflicts, performance issues, sensitive feedback, and emotionally charged discussions.
## When to Use This Skill
- Preparing for a challenging conversation with a colleague
- Addressing performance issues with a team member
- Delivering difficult feedback to a peer or manager
- Navigating conflict between team members
- Discussing sensitive topics (salary, promotion, termination)
- Handling emotional or defensive reactions
- Following up after difficult discussions
View the complete source on GitHubdomain-name-brainstormer
When your agent uses it
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
1,369 tokensWhen the skill is activated
Reference documents
1,004 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
- Example
- Domain Naming Tips
- Advanced Features
- Example Workflows
- Tips for Success
- Pricing Context
- Related Tools
Files
README.mddoc4,179 bytesSKILL.mdcore5,696 bytes
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# Domain Name Brainstormer
This skill helps you find the perfect domain name for your project by generating creative options and checking what's actually available to register.
## When to Use This Skill
- Starting a new project or company
- Launching a product or service
- Creating a personal brand or portfolio site
- Rebranding an existing project
- Registering a domain for a side project
- Finding available alternatives when your first choice is taken
## What This Skill DoesView the complete source on GitHubdraw-io
When your agent uses it
draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.
What it loads into context
Frontmatter
37 tokensAlways available to the agent
SKILL.md
2,032 tokensWhen the skill is activated
Reference documents
10,029 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- 1. Basic Rules
- 2. Font Settings
- 3. Conversion Commands
- 4. Layout Adjustment
- 5. Design Principles
- 6. Best Practices
- 7. Reference
- 8. Checklist
- 9. Image Display in reveal.js Slides
Scripts executed separately
scripts/convert-drawio-to-png.shscripts/find_aws_icon.py
Files
README.mddoc7,854 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesSKILL.mdcore7,609 bytesreferences/aws-icons.mddoc28,597 bytesreferences/layout-guidelines.mddoc1,515 bytesscripts/convert-drawio-to-png.shruns638 bytesscripts/find_aws_icon.pyruns2,208 bytes
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# draw.io Diagram Skill
## 1. Basic Rules
- Edit only `.drawio` files
- Do not directly edit `.drawio.png` files
- Use auto-generated `.drawio.png` by pre-commit hook in slides
## 2. Font Settings
For diagrams used in Quarto slides,
specify `defaultFontFamily` in mxGraphModel tag:
```xmlView the complete source on GitHubexcalidraw
When your agent uses it
Use when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)
What it loads into context
Frontmatter
73 tokensAlways available to the agent
SKILL.md
1,895 tokensWhen the skill is activated
Reference documents
2,366 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- The Problem
- When to Use
- Delegation Pattern
- Common Rationalizations (STOP and Delegate Instead)
- Red Flags - STOP and Delegate
- Quick Reference
- Token Analysis (Why This Matters)
- Implementation Example
- Why "Straightforward JSON" Doesn't Matter
- The Iron Law
Files
README.mddoc10,326 bytesSKILL.mdcore8,071 bytes
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# Excalidraw Subagent Delegation
## Overview
**Core principle:** Main agents NEVER read Excalidraw files directly. Always delegate to subagents to isolate context consumption.
Excalidraw files are JSON with high token cost but low information density. Single files range from 4k-22k tokens (largest can exceed read tool limits). Reading multiple diagrams quickly exhausts context budget (7 files = 67k tokens = 33% of budget).
## The Problem
Excalidraw JSON structure:
- Each shape has 20+ properties (x, y, width, height, strokeColor, seed, version, etc.)
- Most properties are visual metadata (positioning, styling, roughness)
- Actual content: text labels and element relationships (<10% of file)View the complete source on GitHubfeedback-mastery
When your agent uses it
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
What it loads into context
Frontmatter
64 tokensAlways available to the agent
SKILL.md
2,490 tokensWhen the skill is activated
Reference documents
8,014 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Frameworks
- Preparation Phase
- Delivery Phase
- Follow-up Phase
- SBI Examples for Software Teams
- Common Difficult Scenarios
- Receiving Feedback Well
- Quick Reference: Difficult Conversation Checklist
- Companion Resources
- Recommended Reading
Files
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# Feedback Conversations
## Overview
This skill provides frameworks for navigating difficult workplace conversations and delivering effective feedback. Whether you're addressing performance issues, resolving conflicts, or giving constructive feedback, these structured approaches lead to better outcomes.
**Core insight:** Research shows that employees who approach difficult conversations with preparation and a clear framework are **60% more likely to reach a positive resolution** than those who engage without a plan.
## When to Use This Skill
Use this skill when:
- Preparing to give feedback to a colleague or direct report
- Addressing performance issues or missed expectationsView the complete source on GitHubfrontend-to-backend-requirements
When your agent uses it
Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
1,310 tokensWhen the skill is activated
Reference documents
1,147 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Point
- What You Own vs. What Backend Owns
- Workflow
- Output Format
- Good vs. Bad Requests
- Encouraging Pushback
- Rules
- After Backend Responds
Files
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# Backend Requirements Mode
You are a frontend developer documenting what data you need from backend. You describe the **what**, not the **how**. Backend owns implementation details.
> **No Chat Output**: ALL responses go to `.claude/docs/ai/<feature-name>/backend-requirements.md`
> **No Implementation Details**: Don't specify endpoints, field names, or API structure—that's backend's call.
---
## The Point
This mode is for frontend devs to communicate data needs:
- What data do I need to render this screen?
- What actions should the user be able to perform?View the complete source on GitHubgame-changing-features
When your agent uses it
Find 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,921 tokensWhen the skill is activated
Reference documents
1,780 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Point
- Session Setup
- Workflow
- Idea Categories to Explore
- Output Format
- Rules
- Prompts to Unstick Thinking
Files
README.mddoc8,102 bytesSKILL.mdcore7,905 bytes
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# 10x Mode
You are a product strategist with founder mentality. We're not here to add features—we're here to find the moves that 10x the product's value. Think like you own this. What would make users unable to live without it?
> **No Chat Output**: ALL responses go to `.claude/docs/ai/<product-or-area>/10x/session-N.md`
> **No Code**: This is pure strategy. Implementation comes later.
---
## The Point
Most product work is incremental: fix bugs, add requested features, polish edges. That's necessary but not sufficient.
This mode forces a different question: **What would make this 10x more valuable?**View the complete source on GitHubgemini
When your agent uses it
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
What it loads into context
Frontmatter
57 tokensAlways available to the agent
SKILL.md
2,510 tokensWhen the skill is activated
Reference documents
2,690 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use Gemini
- ⚠<U+FE0F> Critical: Background/Non-Interactive Mode Warning
- Running a Task
- Common Use Cases
- Following Up
- Error Handling
- Troubleshooting Hung Gemini Processes
- Tips for Large Context Processing
- CLI Version
Files
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# Gemini Skill Guide
## When to Use Gemini
- WHEN ASKED TO BE ACTIVATED
- **Code Review**: Comprehensive code reviews across multiple files
- **Plan Review**: Analyzing architectural plans, technical specifications, or project roadmaps
- **Big Context Processing**: Tasks requiring >200k tokens of context (entire codebases, documentation sets)
- **Multi-file Analysis**: Understanding relationships and patterns across many files
## ⚠<U+FE0F> Critical: Background/Non-Interactive Mode Warning
**NEVER use `--approval-mode default` in background or non-interactive shells** (like Claude Code tool calls). It will hang indefinitely waiting for approval prompts that cannot be provided.
**For automated/background reviews:**View the complete source on GitHubgepetto
When your agent uses it
Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.
What it loads into context
Frontmatter
39 tokensAlways available to the agent
SKILL.md
2,583 tokensWhen the skill is activated
Reference documents
7,993 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CRITICAL: First Actions
- Logging Format
- Workflow
Files
README.mddoc18,058 bytesSKILL.mdcore12,148 bytesreferences/external-review.mddoc3,417 bytesreferences/interview-protocol.mddoc1,973 bytesreferences/research-protocol.mddoc6,587 bytesreferences/section-index.mddoc3,247 bytesreferences/section-splitting.mddoc4,038 bytes
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# Gepetto
Orchestrates a multi-step planning process: Research → Interview → Spec Synthesis → Plan → External Review → Sections
## CRITICAL: First Actions
**BEFORE anything else**, do these in order:
### 1. Print Intro
Print intro banner immediately:
```
═══════════════════════════════════════════════════════════════
GEPETTO: AI-Assisted Implementation PlanningView the complete source on GitHubhumanizer
When your agent uses it
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Credits: Original skill by @blader - https://github.com/blader/humanizer
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
3,867 tokensWhen the skill is activated
Reference documents
1,342 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Your Task
- PERSONALITY AND SOUL
- CONTENT PATTERNS
- LANGUAGE AND GRAMMAR PATTERNS
- STYLE PATTERNS
- COMMUNICATION PATTERNS
- FILLER AND HEDGING
- Process
- Output Format
- Full Example
- Reference
Files
README.mddoc5,406 bytesSKILL.mdcore17,858 bytes
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# Humanizer: Remove AI Writing Patterns
You are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's "Signs of AI writing" page, maintained by WikiProject AI Cleanup.
## Your Task
When given text to humanize:
1. **Identify AI patterns** - Scan for the patterns listed below
2. **Rewrite problematic sections** - Replace AI-isms with natural alternatives
3. **Preserve meaning** - Keep the core message intact
4. **Maintain voice** - Match the intended tone (formal, casual, technical, etc.)
5. **Add soul** - Don't just remove bad patterns; inject actual personality
View the complete source on GitHubjira
When your agent uses it
Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,536 tokensWhen the skill is activated
Reference documents
6,458 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Backend Detection
- Quick Reference (CLI)
- Quick Reference (MCP)
- Triggers
- Issue Key Detection
- Workflow
- Before Any Operation
- NEVER
- Safety
- No Backend Available
- Deep Dive
Files
README.mddoc8,744 bytesSKILL.mdcore6,106 bytesreferences/commands.mddoc4,594 bytesreferences/mcp.mddoc11,894 bytes
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# Jira
Natural language interaction with Jira. Supports multiple backends.
## Backend Detection
**Run this check first** to determine which backend to use:
```
1. Check if jira CLI is available:
→ Run: which jira
→ If found: USE CLI BACKEND
2. If no CLI, check for Atlassian MCP:View the complete source on GitHublesson-learned
When your agent uses it
Analyze recent code changes via git history and extract software engineering lessons. Use when the user asks 'what is the lesson here?', 'what can I learn from this?', 'engineering takeaway', 'what did I just learn?', 'reflect on this code', or wants to extract principles from recent work.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
1,097 tokensWhen the skill is activated
Reference documents
2,293 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Begin
- Phase 1: Determine Scope
- Phase 2: Gather Changes
- Phase 3: Analyze
- Phase 4: Present the Lesson
- What NOT to Do
- Conversation Style
Files
README.mddoc2,767 bytesSKILL.mdcore4,749 bytesreferences/anti-patterns.mddoc2,826 bytesreferences/se-principles.mddoc5,865 bytes
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# Lesson Learned
Extract specific, grounded software engineering lessons from actual code changes. Not a lecture -- a mirror. Show the user what their code already demonstrates.
## Before You Begin
**Load the principles reference first.**
1. Read `references/se-principles.md` to have the principle catalog available
2. Optionally read `references/anti-patterns.md` if you suspect the changes include areas for improvement
3. Determine the scope of analysis (see Phase 1)
**Do not proceed until you've loaded at least `se-principles.md`.**
View the complete source on GitHubmarp-slide
When your agent uses it
Create professional Marp presentation slides with 7 beautiful themes (default, minimal, colorful, dark, gradient, tech, business). Use when users request slide creation, presentations, or Marp documents. Supports custom themes, image layouts, and "make it look good" requests with automatic quality improvements.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
2,134 tokensWhen the skill is activated
Reference documents
17,041 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Quick Start
- Available Themes
- Creating Slides Process
- Handling "Make It Look Good" Requests
- Image Integration
- File Output
- Quality Checklist
- References
Files
README.mddoc7,664 bytesSKILL.mdcore8,772 bytesassets/template-basic.mddoc2,127 bytesassets/template-business.mddoc2,855 bytesassets/template-colorful.mddoc2,810 bytesassets/template-dark.mddoc2,400 bytesassets/template-gradient.mddoc2,766 bytesassets/template-minimal.mddoc1,895 bytesassets/template-tech.mddoc2,869 bytesassets/theme-business.cssasset3,709 bytesassets/theme-colorful.cssasset2,961 bytesassets/theme-dark.cssasset2,481 bytesassets/theme-default.cssasset2,530 bytesassets/theme-gradient.cssasset3,019 bytesassets/theme-minimal.cssasset1,734 bytesassets/theme-tech.cssasset3,599 bytesreferences/advanced-features.mddoc6,771 bytesreferences/best-practices.mddoc3,417 bytesreferences/image-patterns.mddoc4,911 bytesreferences/marp-syntax.mddoc3,630 bytesreferences/official-themes.mddoc5,587 bytesreferences/theme-css-guide.mddoc5,464 bytesreferences/theme-selection.mddoc4,001 bytes
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# Marp Slide Creator
Create professional, visually appealing Marp presentation slides with 7 pre-designed themes and built-in best practices.
## When to Use This Skill
Use this skill when the user:
- Requests to create presentation slides or Marp documents
- Asks to "make slides look good" or "improve slide design"
- Provides vague instructions like "良い感じにして" (make it nice) or "かっこよく" (make it cool)
- Wants to create lecture or seminar materials
- Needs bullet-point focused slides with occasional images
## Quick StartView the complete source on GitHubmeme-factory
When your agent uses it
Generate memes using the memegen.link API. Use when users request memes, want to add humor to content, or need visual aids for social media. Supports 100+ popular templates with custom text and styling.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
2,003 tokensWhen the skill is activated
Reference documents
10,417 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Quick Reference
- Quick Start
- Popular Templates
- Template Selection Guide
- Validation
- Anti-Patterns
- Verification
- References
- Summary
Scripts executed separately
scripts/meme_generator.py
Files
README.mddoc6,710 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesSKILL.mdcore7,824 bytesreferences/examples.mddoc11,044 bytesreferences/markdown-memes-guide.mddoc23,970 bytesscripts/meme_generator.pyruns8,287 bytes
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# Meme Factory
Create memes using the free memegen.link API and textual meme formats.
---
## Triggers
| Trigger | Description |
|---------|-------------|
| `/meme-factory` | Manual invocation |
| `/meme-factory {template} {top} {bottom}` | Direct meme generation |
| `meme-factory: create a meme about X` | Natural language request |
View the complete source on GitHubmermaid-diagrams
When your agent uses it
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,692 tokensWhen the skill is activated
Reference documents
19,526 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Syntax Structure
- Diagram Type Selection Guide
- Quick Start Examples
- Detailed References
- Best Practices
- Configuration and Theming
- Exporting and Rendering
- Common Pitfalls
- When to Create Diagrams
Files
README.mddoc9,352 bytesSKILL.mdcore7,479 bytesreferences/advanced-features.mddoc10,365 bytesreferences/architecture-diagrams.mddoc4,858 bytesreferences/c4-diagrams.mddoc15,266 bytesreferences/class-diagrams.mddoc6,915 bytesreferences/erd-diagrams.mddoc12,348 bytesreferences/flowcharts.mddoc9,844 bytesreferences/sequence-diagrams.mddoc9,213 bytes
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# Mermaid Diagramming
Create professional software diagrams using Mermaid's text-based syntax. Mermaid renders diagrams from simple text definitions, making diagrams version-controllable, easy to update, and maintainable alongside code.
## Core Syntax Structure
All Mermaid diagrams follow this pattern:
```mermaid
diagramType
definition content
```
**Key principles:**View the complete source on GitHubmui
When your agent uses it
Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks. Use when working with MUI components, styling with sx prop, theme customization, or MUI utilities.
What it loads into context
Frontmatter
52 tokensAlways available to the agent
SKILL.md
2,553 tokensWhen the skill is activated
Reference documents
9,180 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use This Skill
- Quick Start
- Styling Patterns
- Common Components
- Theme Integration
- Responsive Design
- Forms
- Common Patterns
- MUI-Specific Hooks
- Icons
- Best Practices
- Additional Resources
Files
README.mddoc6,306 bytesSKILL.mdcore9,772 bytesresources/component-library.mddoc11,484 bytesresources/styling-guide.mddoc5,441 bytesresources/theme-customization.mddoc10,358 bytesskill-rules-fragment.jsonasset1,816 bytes
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# MUI v7 Patterns
## Purpose
Material-UI v7 (released March 2025) patterns for component usage, styling with sx prop, theme integration, and responsive design.
**Note**: MUI v7 breaking changes from v6:
- Deep imports no longer work - use package exports field
- `onBackdropClick` removed from Modal - use `onClose` instead
- All components now use standardized `slots` and `slotProps` pattern
- CSS layers support via `enableCssLayer` config (works with Tailwind v4)
## When to Use This Skill
View the complete source on GitHubnaming-analyzer
When your agent uses it
Suggest better variable, function, and class names based on context and conventions.
What it loads into context
Frontmatter
23 tokensAlways available to the agent
SKILL.md
2,408 tokensWhen the skill is activated
Reference documents
1,741 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Instructions
- Naming Conventions by Language
- Common Naming Issues
- Usage Examples
- Report Format
- Naming Decision Tree
- Notes
Files
README.mddoc7,401 bytesSKILL.mdcore9,255 bytes
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# Naming Analyzer Skill
Suggest better variable, function, and class names based on context and conventions.
## Instructions
You are a naming convention expert. When invoked:
1. **Analyze Existing Names**:
- Variables, constants, functions, methods
- Classes, interfaces, types
- Files and directories
- Database tables and columns
- API endpointsView the complete source on GitHubopenapi-to-typescript
When your agent uses it
Converts OpenAPI 3.0 JSON/YAML to TypeScript interfaces and type guards. This skill should be used when the user asks to generate types from OpenAPI, convert schema to TS, create API interfaces, or generate TypeScript types from an API specification.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,943 tokensWhen the skill is activated
Reference documents
1,936 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use
- Workflow
- OpenAPI Validation
- Type Mapping
- Code Generation
- $ref Resolution
- Complete Example
- Common Errors
Files
README.mddoc8,279 bytesSKILL.mdcore8,004 bytes
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# OpenAPI to TypeScript
Converts OpenAPI 3.0 specifications to TypeScript interfaces and type guards.
**Input:** OpenAPI file (JSON or YAML)
**Output:** TypeScript file with interfaces and type guards
## When to Use
- "generate types from openapi"
- "convert openapi to typescript"
- "create API interfaces"
- "generate types from spec"
View the complete source on GitHubperplexity
When your agent uses it
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
What it loads into context
Frontmatter
62 tokensAlways available to the agent
SKILL.md
992 tokensWhen the skill is activated
Reference documents
1,460 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- Perplexity Search
- Perplexity Ask
- Prohibited Tool
- Tool Selection Chain
- Examples
- Key Points
Files
README.mddoc6,168 bytesSKILL.mdcore3,900 bytesSKILL.mdcore3,900 bytesSKILL.mdcore3,900 bytesSKILL.mdcore3,900 bytes
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# Perplexity Tools
Use ONLY when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7), gt CLI (use Graphite MCP), or workspace questions (use Nx MCP).
## Quick Reference
**Which Perplexity tool?**
- Need search results/URLs? → **Perplexity Search**
- Need conversational answer? → **Perplexity Ask**
- Need deep research? → **Researcher agent** (`/research <topic>`)
**NOT Perplexity - use these instead:**
- Library/framework docs → **Context7 MCP**
- Graphite `gt` CLI → **Graphite MCP**View the complete source on GitHubplugin-forge
When your agent uses it
Create and manage Claude Code plugins with proper structure, manifests, and marketplace integration. Use when creating plugins for a marketplace, adding plugin components (commands, agents, hooks), bumping plugin versions, or working with plugin.json/marketplace.json manifests.
What it loads into context
Frontmatter
58 tokensAlways available to the agent
SKILL.md
1,273 tokensWhen the skill is activated
Reference documents
4,266 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Purpose
- When to Use
- Getting Started
- Development Workflow
- Plugin Patterns
- Command Naming
- Version Management
- Git Commits
- Reference Docs
Scripts executed separately
scripts/bump_version.pyscripts/create_plugin.py
Files
README.mddoc8,779 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesSKILL.mdcore5,240 bytesreferences/marketplace-schema.mddoc2,464 bytesreferences/plugin-structure.mddoc2,784 bytesreferences/workflows.mddoc3,933 bytesscripts/bump_version.pyruns3,354 bytesscripts/create_plugin.pyruns4,637 bytes
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# CC Plugin Forge
## Purpose
Build and manage Claude Code plugins with correct structure, manifests, and marketplace integration. Includes workflows, automation scripts, and reference docs.
## When to Use
- Creating new plugins for a marketplace
- Adding/modifying plugin components (commands, skills, agents, hooks)
- Updating plugin versions
- Working with plugin or marketplace manifests
- Setting up local plugin testing
- Publishing pluginsView the complete source on GitHubprofessional-communication
When your agent uses it
Guide technical communication for software developers. Covers email structure, team messaging etiquette, meeting agendas, and adapting messages for technical vs non-technical audiences. Use when drafting professional messages, preparing meeting communications, or improving written communication.
What it loads into context
Frontmatter
61 tokensAlways available to the agent
SKILL.md
2,035 tokensWhen the skill is activated
Reference documents
8,421 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Core Frameworks
- Email Best Practices
- Team Messaging Etiquette
- Technical vs Non-Technical Communication
- Writing Clarity Principles
- Meeting Communication
- Quick Reference: Communication Checklist
- Additional Tools
- Companion Skills
- Version History
Files
README.mddoc6,609 bytesSKILL.mdcore9,008 bytesreferences/email-templates.mddoc5,783 bytesreferences/jargon-simplification.mddoc8,071 bytesreferences/meeting-structures.mddoc8,834 bytesreferences/remote-async-communication.mddoc8,075 bytes
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# Professional Communication
## Overview
This skill provides frameworks and guidance for effective professional communication in software development contexts. Whether you're writing an email to stakeholders, crafting a team chat message, or preparing meeting agendas, these principles help you communicate clearly and build professional credibility.
**Core principle:** Effective communication isn't about proving how much you know - it's about ensuring your message is received and understood.
## When to Use This Skill
Use this skill when:
- Writing emails to teammates, managers, or stakeholders
- Crafting team chat messages or async communicationsView the complete source on GitHubqa-test-planner
When your agent uses it
Generate comprehensive test plans, manual test cases, regression test suites, and bug reports for QA engineers. Includes Figma MCP integration for design validation.
What it loads into context
Frontmatter
41 tokensAlways available to the agent
SKILL.md
4,493 tokensWhen the skill is activated
Reference documents
10,648 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Start
- Quick Reference
- How It Works
- Commands
- Core Deliverables
- Anti-Patterns
- Verification Checklist
- References
- Examples
Scripts executed separately
scripts/create_bug_report.shscripts/generate_test_cases.sh
Files
README.mddoc10,887 bytesSKILL.mdcore18,921 bytesreferences/bug_report_templates.mddoc8,607 bytesreferences/figma_validation.mddoc7,046 bytesreferences/regression_testing.mddoc7,273 bytesreferences/test_case_templates.mddoc9,220 bytesscripts/create_bug_report.shruns5,912 bytesscripts/generate_test_cases.shruns6,624 bytes
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# QA Test Planner
A comprehensive skill for QA engineers to create test plans, generate manual test cases, build regression test suites, validate designs against Figma, and document bugs effectively.
> **Activation:** This skill is triggered only when explicitly called by name (e.g., `/qa-test-planner`, `qa-test-planner`, or `use the skill qa-test-planner`).
---
## Quick Start
**Create a test plan:**
```
"Create a test plan for the user authentication feature"
```View the complete source on GitHubreact-dev
When your agent uses it
This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).
What it loads into context
Frontmatter
79 tokensAlways available to the agent
SKILL.md
2,510 tokensWhen the skill is activated
Reference documents
27,340 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
Files
README.mddoc13,200 bytesSKILL.mdcore10,288 bytesexamples/generic-components.mddoc12,902 bytesexamples/server-components.mddoc13,227 bytesreferences/event-handlers.mddoc14,375 bytesreferences/hooks.mddoc10,977 bytesreferences/react-19-patterns.mddoc14,078 bytesreferences/react-router.mddoc20,074 bytesreferences/tanstack-router.mddoc12,253 bytes
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# React TypeScript
Type-safe React = compile-time guarantees = confident refactoring.
<when_to_use>
- Building typed React components
- Implementing generic components
- Typing event handlers, forms, refs
- Using React 19 features (Actions, Server Components, use())
- Router integration (TanStack Router, React Router)
- Custom hooks with proper typing
NOT for: non-React TypeScript, vanilla JS ReactView the complete source on GitHubreact-useeffect
When your agent uses it
React useEffect best practices from official docs. Use when writing/reviewing useEffect, useState for derived values, data fetching, or state synchronization. Teaches when NOT to use Effect and better alternatives.
What it loads into context
Frontmatter
50 tokensAlways available to the agent
SKILL.md
545 tokensWhen the skill is activated
Reference documents
5,382 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- When You DO Need Effects
- When You DON'T Need Effects
- Decision Tree
- Detailed Guidance
Files
README.mddoc10,084 bytesSKILL.mdcore2,351 bytesalternatives.mddoc5,865 bytesanti-patterns.mddoc6,145 bytes
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# You Might Not Need an Effect
Effects are an **escape hatch** from React. They let you synchronize with external systems. If there is no external system involved, you shouldn't need an Effect.
## Quick Reference
| Situation | DON'T | DO |
|-----------|-------|-----|
| Derived state from props/state | `useState` + `useEffect` | Calculate during render |
| Expensive calculations | `useEffect` to cache | `useMemo` |
| Reset state on prop change | `useEffect` with `setState` | `key` prop |
| User event responses | `useEffect` watching state | Event handler directly |
| Notify parent of changes | `useEffect` calling `onChange` | Call in event handler |
| Fetch data | `useEffect` without cleanup | `useEffect` with cleanup OR framework |View the complete source on GitHubreducing-entropy
When your agent uses it
Manual-only skill for minimizing total codebase size. Only activate when explicitly requested by user. Measures success by final code amount, not effort. Bias toward deletion.
What it loads into context
Frontmatter
40 tokensAlways available to the agent
SKILL.md
597 tokensWhen the skill is activated
Reference documents
3,809 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Begin
- The Goal
- Three Questions
- Red Flags
- When This Doesn't Apply
- Reference Mindsets
Files
README.mddoc4,843 bytesSKILL.mdcore2,557 bytesadding-reference-mindsets.mddoc3,427 bytesreferences/data-over-abstractions.mddoc1,894 bytesreferences/design-is-taking-apart.mddoc2,265 bytesreferences/expensive-to-add-later.mddoc2,497 bytesreferences/simplicity-vs-easy.mddoc1,707 bytes
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# Reducing Entropy
More code begets more code. Entropy accumulates. This skill biases toward the smallest possible codebase.
**Core question:** "What does the codebase look like *after*?"
## Before You Begin
**Load at least one mindset from `references/`**
1. List the files in the reference directory
2. Read frontmatter descriptions to pick which applies
3. Load at least one
4. State which you loaded and its core principleView the complete source on GitHubrequirements-clarity
When your agent uses it
Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
2,142 tokensWhen the skill is activated
Reference documents
1,978 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Description
- Instructions
- Core Principles
- Clarification Process
- PRD Document Structure
- Behavioral Guidelines
- Success Criteria
Files
README.mddoc9,297 bytesSKILL.mdcore9,314 bytes
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# Requirements Clarity Skill
## Description
Automatically transforms vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system.
## Instructions
When invoked, detect vague requirements:
1. **Vague Feature Requests**
- User says: "add login feature", "implement payment", "create dashboard"
- Missing: How, with what technology, what constraints?View the complete source on GitHubsession-handoff
When your agent uses it
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,470 tokensWhen the skill is activated
Reference documents
6,531 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Mode Selection
- CREATE Workflow
- RESUME Workflow
- Handoff Chaining
- Storage Location
- Resources
Scripts executed separately
evals/setup_test_env.pyscripts/check_staleness.pyscripts/create_handoff.pyscripts/list_handoffs.pyscripts/validate_handoff.py
Files
README.mddoc7,033 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesSKILL.mdcore6,307 bytesevals/model-expectations.mddoc5,757 bytesevals/results-opus-baseline.mddoc2,704 bytesevals/setup_test_env.pyruns10,293 bytesevals/test-scenarios.mddoc5,306 bytesreferences/handoff-template.mddoc3,963 bytesreferences/resume-checklist.mddoc2,782 bytesscripts/check_staleness.pyruns12,974 bytesscripts/create_handoff.pyruns10,666 bytesscripts/list_handoffs.pyruns3,813 bytesscripts/validate_handoff.pyruns10,821 bytes
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# Handoff
Creates comprehensive handoff documents that enable fresh AI agents to seamlessly continue work with zero ambiguity. Solves the long-running agent context exhaustion problem.
## Mode Selection
Determine which mode applies:
**Creating a handoff?** User wants to save current state, pause work, or context is getting full.
- Follow: CREATE Workflow below
**Resuming from a handoff?** User wants to continue previous work, load context, or mentions an existing handoff.
- Follow: RESUME Workflow below
View the complete source on GitHubship-learn-next
When your agent uses it
Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
2,340 tokensWhen the skill is activated
Reference documents
1,557 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 Framework: Ship-Learn-Next
- How This Skill Works
- Conversation Style
- What NOT to Do
- Key Phrases to Use
- Example Output Structure
- Processing Different Content Types
- Success Metrics
- Saving the Plan
- After Creating the Plan
Files
README.mddoc6,796 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytesSKILL.mdcore9,419 bytes
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# Ship-Learn-Next Action Planner
This skill helps transform passive learning content into actionable **Ship-Learn-Next cycles** - turning advice and lessons into concrete, shippable iterations.
## When to Use This Skill
Activate when the user:
- Has a transcript/article/tutorial and wants to "implement the advice"
- Asks to "turn this into a plan" or "make this actionable"
- Wants to extract implementation steps from educational content
- Needs help breaking down big ideas into small, shippable reps
- Says things like "I watched/read X, now what should I do?"
## Core Framework: Ship-Learn-NextView the complete source on GitHubskill-judge
When your agent uses it
Evaluate Agent Skill design quality against official specifications and best practices. Use when reviewing, auditing, or improving SKILL.md files and skill packages. Provides multi-dimensional scoring and actionable improvement suggestions.
What it loads into context
Frontmatter
45 tokensAlways available to the agent
SKILL.md
6,532 tokensWhen the skill is activated
Reference documents
2,006 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Core Philosophy
- Evaluation Dimensions (120 points total)
- NEVER Do When Evaluating
- Evaluation Protocol
- Common Failure Patterns
- Quick Reference Checklist
- The Meta-Question
- Self-Evaluation Note
Files
README.mddoc8,755 bytesSKILL.mdcore31,029 bytesSKILL.mdcore31,029 bytes
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# Skill Judge
Evaluate Agent Skills against official specifications and patterns derived from 17+ official examples.
---
## Core Philosophy
### What is a Skill?
A Skill is NOT a tutorial. A Skill is a **knowledge externalization mechanism**.
Traditional AI knowledge is locked in model parameters. To teach new capabilities:
```View the complete source on GitHubweb-to-markdown
When your agent uses it
Use ONLY when the user explicitly says: 'use the skill web-to-markdown ...' (or 'use a skill web-to-markdown ...'). Converts webpage URLs to clean Markdown by calling the local web2md CLI (Puppeteer + Readability), suitable for JS-rendered pages.
What it loads into context
Frontmatter
80 tokensAlways available to the agent
SKILL.md
944 tokensWhen the skill is activated
Reference documents
1,553 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Hard trigger gate (must enforce)
- What this skill does
- Non-goals
- Inputs you should collect (ask only if missing)
- Workflow
- Defaults (recommended)
Files
README.mddoc6,734 bytesSKILL.mdcore3,514 bytes
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# web-to-markdown
Convert web pages to clean Markdown by driving a locally installed browser (via `web2md`).
## Hard trigger gate (must enforce)
This skill MUST NOT be used unless the user explicitly wrote **exactly** a phrase like:
- `use the skill web-to-markdown ...`
- `use a skill web-to-markdown ...`
If the user did not explicitly request this skill by name, stop and ask them to re-issue the request including: `use the skill web-to-markdown`.
## What this skill does
View the complete source on GitHubwriting-clearly-and-concisely
When your agent uses it
Use when writing prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Applies Strunk's timeless rules for clearer, stronger, more professional writing.
What it loads into context
Frontmatter
51 tokensAlways available to the agent
SKILL.md
844 tokensWhen the skill is activated
Reference documents
38,725 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- When to Use This Skill
- Limited Context Strategy
- Elements of Style
- AI Writing Patterns to Avoid
- Bottom Line
Files
README.mddoc6,078 bytesSKILL.mdcore3,768 byteselements-of-style/01-introductory.mddoc303 byteselements-of-style/02-elementary-rules-of-usage.mddoc12,168 byteselements-of-style/03-elementary-principles-of-composition.mddoc33,622 byteselements-of-style/04-a-few-matters-of-form.mddoc4,918 byteselements-of-style/05-words-and-expressions-commonly-misused.mddoc22,310 bytessigns-of-ai-writing.mddoc94,774 bytes
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# Writing Clearly and Concisely
## Overview
Write with clarity and force. This skill covers what to do (Strunk) and what not to do (AI patterns).
## When to Use This Skill
Use this skill whenever you write prose for humans:
- Documentation, README files, technical explanations
- Commit messages, pull request descriptions
- Error messages, UI copy, help text, comments
- Reports, summaries, or any explanationView the complete source on GitHubSkills included
- agent-md-refactor
- backend-to-frontend-handoff-docs
- c4-architecture
- codex
- command-creator
- commit-work
- crafting-effective-readmes
- daily-meeting-update
- database-schema-designer
- datadog-cli
- dependency-updater
- design-system-starter
- difficult-workplace-conversations
- domain-name-brainstormer
- draw-io
- excalidraw
- feedback-mastery
- frontend-to-backend-requirements
- game-changing-features
- gemini
- gepetto
- humanizer
- jira
- lesson-learned
- marp-slide
- meme-factory
- mermaid-diagrams
- mui
- naming-analyzer
- openapi-to-typescript
- perplexity
- plugin-forge
- professional-communication
- qa-test-planner
- react-dev
- react-useeffect
- reducing-entropy
- requirements-clarity
- session-handoff
- ship-learn-next
- skill-judge
- web-to-markdown
- writing-clearly-and-concisely
- agent-md-refactor
- backend-to-frontend-handoff-docs
- c4-architecture
- codex
- command-creator
- commit-work
- crafting-effective-readmes
- daily-meeting-update
- database-schema-designer
- datadog-cli
- dependency-updater
- design-system-starter
- difficult-workplace-conversations
- domain-name-brainstormer
- draw-io
- excalidraw
- feedback-mastery
- frontend-to-backend-requirements
- game-changing-features
- gemini
- gepetto
- humanizer
- jira
- lesson-learned
- marp-slide
- meme-factory
- mermaid-diagrams
- mui
- naming-analyzer
- openapi-to-typescript
- perplexity
- plugin-forge
- professional-communication
- qa-test-planner
- react-dev
- react-useeffect
- reducing-entropy
- requirements-clarity
- session-handoff
- ship-learn-next
- skill-judge
- web-to-markdown
- writing-clearly-and-concisely
Repository facts
- License
- MIT
- Created
- Jan 19, 2026
- Last pushed
- Mar 5, 2026
- Forks
- 248
- Open issues
- 9
- Project activity
- Slowing
Rank over the last 12 weeks
Now #452 · best #345 · down 66 in 30 days
- #443 on Oct 30
- #444 from Oct 31 to Nov 1
- #449 on Nov 2
- #450 on Nov 3
- #451 from Nov 4 to Nov 5
- #452 since Nov 6
78 earlier periods
- #333 on Aug 2
- #339 on Aug 7
- #340 on Aug 8
- #337 on Aug 9
- #350 on Aug 10
- #349 on Aug 11
- #342 on Aug 12
- #349 on Aug 13
- #347 on Aug 14
- #345 on Aug 15
- #351 on Aug 16
- #349 on Aug 17
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Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 2, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 217 notes
agents/mermaid-diagram-specialist.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/codex-plan.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/codex-plan.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/codex-plan.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/compose-email.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/explain-changes-mental-model.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/explain-changes-mental-model.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/sync-branch.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/sync-branch.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedcommands/sync-skills-readme.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagents/mermaid-diagram-specialist.md:1Plugin-wide analysis incomplete; see repository notesagents/mermaid-diagram-specialist.md:1Plugin-wide analysis incomplete; see repository notesagents/mermaid-diagram-specialist.md:1Plugin-wide analysis incomplete; see repository notesdist/plugins/command-creator/skills/command-creator/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedagents/mermaid-diagram-specialist.md:1Plugin-wide analysis incomplete; see repository notesagents/mermaid-diagram-specialist.md:1Plugin-wide analysis incomplete; see repository notesdist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzeddist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- 1 broad permissionin 1 file: commands/codex-plan.md:1
- 36 dangerous shell commandsin 10 files: skills/dependency-updater/README.md:243 skills/dependency-updater/SKILL.md:234 skills/codex/README.md:21 and 7 more
- 1,643 network referencesin 160 files: skills/writing-clearly-and-concisely/signs-of-ai-writing.md:3 skills/crafting-effective-readmes/references/art-of-readme.md:3 writing-clearly-and-concisely/signs-of-ai-writing.md:3 and 157 more
- 3 obfuscation signalsin 2 files: skills/writing-clearly-and-concisely/signs-of-ai-writing.md:165 writing-clearly-and-concisely/signs-of-ai-writing.md:165
- No instruction overrides
- 48 executable scriptsin 32 files: skills/daily-meeting-update/scripts/claude_digest.py:1 skills/dependency-updater/scripts/check-tool.sh:1 skills/dependency-updater/scripts/run-taze.sh:1 and 29 more
- 30 references to secretsin 14 files: skills/datadog-cli/README.md:22 skills/datadog-cli/SKILL.md:24 skills/session-handoff/evals/setup_test_env.py:79 and 11 more
- No requests to vote in Hot
Show all 1,761 signals by file
.claude-plugin/marketplace.json
agents/ui-ux-designer.md
- Network accessline 8
<!-- Created by: Madina Gbotoe (https://madinagbotoe.com/) - Network accessline 9
Created by: Madina Gbotoe (https://madinagbotoe.com/) - Network accessline 14
License: Creative Commons Attribution 4.0 International (CC BY 4.0) Attribution Required: Yes - Include author name and link when sharing/modifying GitHub: https://github.com/madinagbotoe/portfolio - Network accessline 15
Attribution Required: Yes - Include author name and link when sharing/modifying GitHub: https://github.com/madinagbotoe/portfolio Find latest version: https://github.com/madinagbotoe/portfolio/tree/main/.claude/agents - Network accessline 16
GitHub: https://github.com/madinagbotoe/portfolio - Network accessline 17
Find latest version: https://github.com/madinagbotoe/portfolio/tree/main/.claude/agents - Network accessline 68
- Navigation on the left outperforms centered or right-aligned - **Anti-pattern**: Don't center-align body text or navigation - **Source**: https://www.nngroup.com/articles/horizontal-attention-leans-left/ - Network accessline 70
- **Source**: https://www.nngroup.com/articles/horizontal-attention-leans-left/ - Network accessline 137
<!-- Google Fonts --> <link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 138
<link rel="preconnect" href="https://fonts.googleapis.com"> - Network accessline 139
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin> - Network accessline 140
<link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;700&family=JetBrains+Mono&display=swap" rel="stylesheet"> - Network accessline 279
- **What's wrong**: Main navigation is center-aligned horizontally - **Why it matters**: Users spend 69% more time viewing left side of screen (NN Group 2024). Centered nav means primary navigation gets less attention and requires more eye - Network accessline 280
- **Why it matters**: Users spend 69% more time viewing left side of screen (NN Group 2024). Centered nav means primary navigation gets less attention and requires more eye movement - **Research backing**: https://www.nngroup.com/articles/h - Network accessline 281
- **Research backing**: https://www.nngroup.com/articles/horizontal-attention-leans-left/ - Network accessline 445
**Good feedback:** > "Navigation is centered horizontally, which reduces engagement. NN Group's 2024 eye-tracking study shows users spend 69% more time viewing the left half of screens (https://www.nngroup.com/articles/horizontal-attention- - Network accessline 446
> "Navigation is centered horizontally, which reduces engagement. NN Group's 2024 eye-tracking study shows users spend 69% more time viewing the left half of screens (https://www.nngroup.com/articles/horizontal-attention-leans-left/). Move
commands/codex-plan.md
- Broad permissionsline 1
Read, Write, Bash, AskUser
dist/plugins/agent-md-refactor/skills/agent-md-refactor/README.md
- Network accessline 5
Based on https://x.com/mattpocockuk/status/2012906065856270504 (Matt Pocock's Prompt Idea)
dist/plugins/c4-architecture/skills/c4-architecture/README.md
dist/plugins/codex/skills/codex/README.md
- Network accessline 5
<img width="2288" height="808" alt="skillcodex" src="https://github.com/user-attachments/assets/85336a9f-4680-479e-b3fe-d6a68cadc051" /> - Dangerous shell operationline 21
git clone --depth 1 git@github.com:skills-directory/skill-codex.git /tmp/skills-temp && mkdir -p ~/.claude/skills && cp -r /tmp/skills-temp/ ~/.claude/skills/codex && rm -rf /tmp/skills-temp - Dangerous shell operationline 24
rm -rf /tmp/skills-temp
dist/plugins/commit-work/skills/commit-work/README.md
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/README.md
- Network accessline 180
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT)
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/references/art-of-readme.md
- Network accessline 3
> Source: [hackergrrl/art-of-readme](https://github.com/hackergrrl/art-of-readme) - Network accessline 14
The nomenclature dates back to *at least* the 1970s [and the PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 15
PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 53
The Node ecosystem is powered by its modules. [npm](https://npmjs.org) is the - Network accessline 83
Node has a "wide" ecosystem: it's largely made up of a very long list of independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 84
independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, it is the single-purpose commoners who, given their larger numbers, truly rule - Network accessline 85
[exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 104
Some experienced Node developers band together to create [curated lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 105
lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 111
How about the social graph? This idea spurred the creation of [node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 112
[node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 116
Of course there is also npm's built-in [search](https://npmjs.org) - Network accessline 119
No matter your approach, regardless whether a module spelunker enters the module underground at [npmjs.org](https://npmjs.org), - Network accessline 120
underground at [npmjs.org](https://npmjs.org), - Network accessline 121
[github.com](https://github.com), or somewhere else, this would-be user will - Network accessline 167
It so turns out that the [monks](http://perlmonks.org) of the Perl community - Network accessline 168
indeed have a great deal of experience in writing [quality READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a wonderful resource that is worth reading through to learn more about a community - Network accessline 169
READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a - Network accessline 186
> > Remember: the documentation, not the code, defines what a module does. -- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 188
-- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 198
Let's say, for example, my search for a 2D collision detection module leads me to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 199
to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 319
1. Consider including a **Background** section if your module depends on important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 320
important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not immediately obvious from its name, so it has a detailed *Background* sectio - Network accessline 321
of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 341
5. Be judicious in your use of badges. They're easy to [abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 342
[abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 368
e. aggressively linkify specialized terminology! In markdown you can keep [footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 369
[footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 371
becomes cheap. Some of my personal preferences on API formatting can be found [here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 373
[here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 375
7. If your module is a small collection of stateless functions, having a **Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 376
**Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function calls and results might communicate usage more clearly than a source code - Network accessline 377
session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 386
9. Don't forget to use `package.json` [keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 387
[keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 401
11. Finally, please remember that your version control repository and its embedded README will outlive your [repository host](https://github.com) and - Network accessline 402
embedded README will outlive your [repository host](https://github.com) and - Network accessline 409
Not coincidentally, this is also the format used by [**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 410
[**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 415
You may also enjoy [standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 416
[standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 425
- https://github.com/hackergrrl/ice-box - Network accessline 426
- https://github.com/substack/quote-stream - Network accessline 427
- https://github.com/feross/bittorrent-dht - Network accessline 428
- https://github.com/mikolalysenko/box-intersect - Network accessline 429
- https://github.com/freeman-lab/pixel-grid - Network accessline 430
- https://github.com/mafintosh/torrent-stream - Network accessline 431
- https://github.com/pull-stream/pull-stream - Network accessline 432
- https://github.com/substack/tape - Network accessline 433
- https://github.com/yoshuawuyts/vmd - Network accessline 444
- [ ] Installation instructions - [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 445
- [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - [ ] Caveats and limitations mentioned up-front - Network accessline 446
- [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 454
Hi, I'm [Kira](http://kira.solar). - Network accessline 457
digging into how Perl monks write their documentation and also lamenting the state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 458
state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" section overflowed with tips though, which I decided could be usefully collected - Network accessline 459
[common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 466
- [README-Driven Development](http://tom.preston-werner.com/2010/08/23/readme-driven-development.html) - Network accessline 467
- [Documentation First](http://joeyh.name/blog/entry/documentation_first/) - Network accessline 472
1. <a name="footnote-1"></a>Thanks, [Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 473
[Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 475
2. <a name="footnote-2"></a>See [The Jargon File](http://catb.org/~esr/jargon/html/R/README-file.html). - Network accessline 483
A heartfelt thank you to [@mafintosh](https://github.com/mafintosh) and - Network accessline 484
[@feross](https://github.com/feross) for the encouragement I needed to get this - Network accessline 490
- [@ungoldman](https://github.com/ungoldman) - Network accessline 491
- [@boidolr](https://github.com/boidolr) - Network accessline 492
- [@imjoehaines](https://github.com/imjoehaines) - Network accessline 493
- [@radarhere](https://github.com/radarhere) - Network accessline 494
- [@joshmanders](https://github.com/joshmanders) - Network accessline 495
- [@ddbeck](https://github.com/ddbeck) - Network accessline 496
- [@RichardLitt](https://github.com/RichardLitt) - Network accessline 497
- [@StevenMaude](https://github.com/StevenMaude) - Network accessline 498
- [@KrishMunot](https://github.com/KrishMunot) - Network accessline 499
- [@chesterhow](https://github.com/chesterhow) - Network accessline 500
- [@sjsyrek](https://github.com/sjsyrek) - Network accessline 501
- [@thenickcox](https://github.com/thenickcox) - Network accessline 503
Thank you to [@qihaiyan](https://github.com/qihaiyan) for translating Art of - Network accessline 506
- [@BrettDong](https://github.com/brettdong) for revising punctuation in Chinese version. - Network accessline 507
- [@Alex-fun](https://github.com/Alex-fun) - Network accessline 508
- [@HmyBmny](https://github.com/HmyBmny) - Network accessline 509
- [@vra](https://github.com/vra) - Network accessline 511
Thank you to [@lennonjesus](https://github.com/lennonjesus) for translating Art - Network accessline 514
- [@rectius](https://github.com/rectius) - Network accessline 516
Thank you to [@jabiinfante](https://github.com/jabiinfante) for translating Art - Network accessline 519
Thank you to [@Ryuno-Ki](https://github.com/Ryuno-Ki) for translating Art of - Network accessline 522
- [@randomC0der](https://github.com/randomC0der) - Network accessline 524
Thank you to [@Manfred Madelaine](https://github.com/Manfred-Madelaine-pro) and - Network accessline 525
[@Ruben Madelaine](https://github.com/Ruben-Madelaine) - Network accessline 528
## Other Resources Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 529
Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - [GNU Releases](https://www.gnu.org/prep/standards/ht - Network accessline 530
- [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 531
- [GNU Releases](https://www.gnu.org/prep/standards/html_node/Releases.html#index-README-file) - Network accessline 536
[Creative Commons Attribution License](http://creativecommons.org/licenses/by/2.0/)
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/references/make-a-readme.md
- Network accessline 3
> Source: [makeareadme.com](https://www.makeareadme.com) by Danny Guo - Network accessline 31
While READMEs can be written in any text file format, the most common one that is used nowadays is Markdown. It allows you to add some lightweight formatting. You can learn more about it at the [CommonMark website](https://commonmark.org/). - Network accessline 47
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use [Shields.io](http://shields.io/) to add some to your README. Many services also have instructions - Network accessline 51
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like [ttygif](https://github.com/icholy/ttygif) can help, but check out [Asciinema] - Network accessline 105
- [Docusaurus](https://docusaurus.io/) - Network accessline 106
- [GitBook](https://www.gitbook.com/) - Network accessline 107
- [MkDocs](https://www.mkdocs.org/) - Network accessline 108
- [Read the Docs](https://readthedocs.org/) - Network accessline 109
- [Docsify](https://docsify.js.org/) - Network accessline 113
A [changelog](https://en.wikipedia.org/wiki/Changelog) is another file that is very useful for programming projects. See [Keep a Changelog](http://keepachangelog.com/).
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/references/standard-readme-example-maximal.md
- Network accessline 5
 - Network accessline 6
 - Network accessline 7
[](LICENSE) - Network accessline 8
[](https://github.com/RichardLitt/standard-readme) - Network accessline 62
Small note: If editing the Readme, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) specification.
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/references/standard-readme-spec.md
- Network accessline 3
> Source: [Standard Readme](https://github.com/RichardLitt/standard-readme) by Richard Litt - Network accessline 73
**Suggestions:** - Use http://shields.io or a similar service to create and host the images. - Network accessline 74
- Use http://shields.io or a similar service to create and host the images. - Network accessline 75
- Add the [Standard Readme badge](https://github.com/RichardLitt/standard-readme#badge). - Network accessline 88
**Suggestions:** - Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 89
- Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 90
- Use `npm show . description` to show the description from a local [npm](https://npmjs.com) package. - Network accessline 112
~ [Kirrily "Skud" Robert, perlmodstyle](http://perldoc.perl.org/perlmodstyle.html) - Network accessline 148
**Suggestions:** - Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 149
- Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 230
**Requirements:** - State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the l - Network accessline 231
- State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the license file. (Thes - Network accessline 242
- **Documentation repositories**: Repositories without any functional code. For instance, [RichardLitt/knowledge](https://github.com/RichardLitt/knowledge).
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/templates/internal.md
- Access to secretsline 37
[Credential-related source omitted]
dist/plugins/crafting-effective-readmes/skills/crafting-effective-readmes/templates/oss.md
- Network accessline 11
[](LICENSE) - Network accessline 12
[](https://github.com/[user]/[repo]/actions) - Network accessline 13
[](https://www.npmjs.com/package/[package-name])
dist/plugins/daily-meeting-update/skills/daily-meeting-update/README.md
- Network accessline 201
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 202
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 203
- https://github.com/org/repo/pull/125 - Network accessline 204
- https://github.com/org/repo/pull/120
dist/plugins/daily-meeting-update/skills/daily-meeting-update/SKILL.md
- Network accessline 381
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 382
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 383
- https://github.com/org/repo/pull/125 - Network accessline 384
- https://github.com/org/repo/pull/120
dist/plugins/daily-meeting-update/skills/daily-meeting-update/scripts/claude_digest.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/datadog-cli/skills/datadog-cli/README.md
- Network accessline 3
A Claude Code skill for debugging and triaging with [Datadog](https://www.datadoghq.com/) logs, metrics, and dashboards. - Network accessline 7
This skill enables Claude to use the [datadog](https://github.com/leonardocouy/datadog-cli) CLI for: - Network accessline 18
1. Install the CLI from [leonardocouy/datadog-cli](https://github.com/leonardocouy/datadog-cli) - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 23
[Credential-related source omitted] - Network accessline 26
Get keys from: https://app.datadoghq.com/organization-settings/api-keys - Network accessline 42
- "Show me error patterns from today" - "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 43
- "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - "Create a new Datadog dashboard for the metrics cpu.usage, memory.used" - Network accessline 44
- "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 68
See the [datadog-cli](https://github.com/leonardocouy/datadog-cli) repository for complete command documentation.
dist/plugins/datadog-cli/skills/datadog-cli/SKILL.md
dist/plugins/dependency-updater/skills/dependency-updater/README.md
- Dangerous shell operationline 243
rm -rf node_modules package-lock.json - Dangerous shell operationline 251
rm -rf venv - Dangerous shell operationline 260
rm go.sum - Network accessline 280
| Tool | Language | Purpose | Link | |------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 281
|------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | | npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check - Network accessline 282
| taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 283
| npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check-updates) | - Network accessline 284
| pip-review | Python | Interactive pip updates | [GitHub](https://github.com/jgonggrijp/pip-review) | - Network accessline 285
| cargo-edit | Rust | Cargo dependency management | [GitHub](https://github.com/killercup/cargo-edit) | - Network accessline 286
| bundler-audit | Ruby | Security auditing | [GitHub](https://github.com/rubysec/bundler-audit) |
dist/plugins/dependency-updater/skills/dependency-updater/SKILL.md
- Dangerous shell operationline 234
rm -rf node_modules package-lock.json - Dangerous shell operationline 239
rm -rf venv - Dangerous shell operationline 245
rm go.sum - Network accessline 485
| Tool | Language | Purpose | |------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 486
|------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | | [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 487
| [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 488
| [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 489
| [pip-review](https://github.com/jgonggrijp/pip-review) | Python | Interactive pip updates | - Network accessline 490
| [cargo-edit](https://github.com/killercup/cargo-edit) | Rust | Cargo dependency management | - Network accessline 491
| [bundler-audit](https://github.com/rubysec/bundler-audit) | Ruby | Security auditing |
dist/plugins/dependency-updater/skills/dependency-updater/scripts/check-tool.sh
- Executable scriptline 1
#!/bin/bash
dist/plugins/dependency-updater/skills/dependency-updater/scripts/run-taze.sh
- Executable scriptline 1
#!/bin/bash
dist/plugins/design-system-starter/skills/design-system-starter/SKILL.md
- Network accessline 504
**Tools**: Use contrast checkers like [WebAIM Contrast Checker](https://webaim.org/resources/contrastchecker/)
dist/plugins/design-system-starter/skills/design-system-starter/templates/component-template.tsx
- Executable scriptline 1
Executable file
dist/plugins/design-system-starter/skills/design-system-starter/templates/design-tokens-template.json
dist/plugins/draw-io/skills/draw-io/README.md
- Network accessline 259
- [Layout Guidelines](references/layout-guidelines.md) - Detailed spacing and alignment rules - [AWS Icons](references/aws-icons.md) - Complete AWS icon catalog - [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io refer - Network accessline 261
- [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io reference
dist/plugins/draw-io/skills/draw-io/references/aws-icons.md
- Network accessline 673
- [draw.io AWS Diagrams Blog](https://www.drawio.com/blog/aws-diagrams) - Network accessline 674
- [AWS Architecture Icons](https://aws.amazon.com/architecture/icons/) - Network accessline 675
- [jgraph/drawio GitHub](https://github.com/jgraph/drawio) - Network accessline 676
- [awsicons.dev](https://awsicons.dev/) - Network accessline 677
- [diagrams-aws-icons](https://github.com/m-radzikowski/diagrams-aws-icons)
dist/plugins/draw-io/skills/draw-io/scripts/convert-drawio-to-png.sh
- Executable scriptline 1
#!/bin/bash
dist/plugins/draw-io/skills/draw-io/scripts/find_aws_icon.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/gemini/skills/gemini/README.md
dist/plugins/gepetto/skills/gepetto/README.md
- Network accessline 192
# Gemini CLI (Google) # See: https://github.com/google-gemini/gemini-cli - Network accessline 193
# See: https://github.com/google-gemini/gemini-cli - Network accessline 195
# Codex CLI (OpenAI) # See: https://github.com/openai/codex - Network accessline 196
# See: https://github.com/openai/codex - Network accessline 301
gepetto generates `claude-ralph-loop-prompt.md` for optional integration with [ralph-loop](https://github.com/anthropics/claude-plugins-official/tree/main/plugins/ralph-loop). - Network accessline 382
gepetto generates `claude-ralphy-prd.md` for optional integration with [Ralphy](https://github.com/michaelshimeles/ralphy), an autonomous AI coding loop that works with multiple AI engines. - Network accessline 453
See the [Ralphy repository](https://github.com/michaelshimeles/ralphy) for installation, configuration, and advanced features. - Network accessline 481
**Crafted by:** Leonardo Flores **License:** MIT **Repository:** https://github.com/softaworks/gepetto - Network accessline 483
**Repository:** https://github.com/softaworks/gepetto
dist/plugins/humanizer/skills/humanizer/README.md
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mkdir -p ~/.claude/skills git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 11
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 41
Based on [Wikipedia's "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generate - Network accessline 108
- [Wikipedia: Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) - Primary source - Network accessline 109
- [WikiProject AI Cleanup](https://en.wikipedia.org/wiki/Wikipedia:WikiProject_AI_Cleanup) - Maintaining organization
dist/plugins/humanizer/skills/humanizer/SKILL.md
- Network accessline 12
Credits: Original skill by @blader - https://github.com/blader/humanizer - Network accessline 437
This skill is based on [Wikipedia:Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing), maintained by WikiProject AI Cleanup. The patterns documented there come from observations of thousands of instances of AI-
dist/plugins/jira/skills/jira/README.md
dist/plugins/jira/skills/jira/SKILL.md
dist/plugins/jira/skills/jira/references/mcp.md
- Network accessline 303
[Credential-related source omitted] - Access to secretsline 303
[Credential-related source omitted] - Network accessline 307
Required environment variables: - `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 308
- `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 343
[Link text|https://example.com]
dist/plugins/marp-slide/skills/marp-slide/README.md
- Network accessline 203
### External Links - [Marp Official Site](https://marp.app/) - Network accessline 204
- [Marp Official Site](https://marp.app/) - Network accessline 205
- [Marpit Directives](https://marpit.marp.app/directives) - Network accessline 206
- [Marpit Image Syntax](https://marpit.marp.app/image-syntax) - Network accessline 207
- [Marp CLI GitHub](https://github.com/marp-team/marp-cli)
dist/plugins/marp-slide/skills/marp-slide/SKILL.md
- Network accessline 231
### Official External Links - **Marp Official Site**: https://marp.app/ - Network accessline 232
- **Marp Official Site**: https://marp.app/ - Network accessline 233
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 234
- **Marpit Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 235
- **Marpit Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 236
- **Marp Core GitHub**: https://github.com/marp-team/marp-core - Network accessline 237
- **Marp CLI GitHub**: https://github.com/marp-team/marp-cli
dist/plugins/marp-slide/skills/marp-slide/assets/template-basic.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-business.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-colorful.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-dark.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-gradient.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-minimal.md
dist/plugins/marp-slide/skills/marp-slide/assets/template-tech.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap');
dist/plugins/marp-slide/skills/marp-slide/assets/theme-business.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-colorful.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-dark.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-default.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-gradient.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-minimal.css
dist/plugins/marp-slide/skills/marp-slide/assets/theme-tech.css
- Network accessline 1
/* Google Fontsから日本語フォントとコードフォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap');
dist/plugins/marp-slide/skills/marp-slide/references/advanced-features.md
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Official documentation: https://github.com/marp-team/marpit/tree/main/docs/fragmented-list - Network accessline 41
Official: https://github.com/marp-team/marp-core#math-typesetting - Network accessline 86
- **KaTeX notation**: Subset of LaTeX syntax - **Unsupported notation**: Some LaTeX features not supported - **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 88
- **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 94
Official: https://github.com/marp-team/marp-core#emoji - Network accessline 118
Complete list: https://github.com/ikatyang/emoji-cheat-sheet - Network accessline 193
Official: https://github.com/marp-team/marp-cli - Network accessline 276
Official: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode - Network accessline 314
Official: https://github.com/marketplace/actions/marp-action - Network accessline 435
- **Marp Official Site**: https://marp.app/ - Network accessline 436
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 437
- **Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 438
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 439
- **Marp Core**: https://github.com/marp-team/marp-core - Network accessline 440
- **Marp CLI**: https://github.com/marp-team/marp-cli - Network accessline 441
- **VS Code Extension**: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode
dist/plugins/marp-slide/skills/marp-slide/references/image-patterns.md
dist/plugins/marp-slide/skills/marp-slide/references/marp-syntax.md
- Network accessline 202
- **Directives List**: https://marpit.marp.app/directives - Network accessline 203
- **Marp Core Features**: https://github.com/marp-team/marp-core - Network accessline 204
- **Theme CSS Specification**: https://marpit.marp.app/theme-css - Network accessline 205
- **Official Site**: https://marp.app/
dist/plugins/marp-slide/skills/marp-slide/references/official-themes.md
- Network accessline 5
Official implementation: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 403
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 404
- **Marp Core README**: https://github.com/marp-team/marp-core - Network accessline 405
- **Theme CSS Specification**: https://marpit.marp.app/theme-css
dist/plugins/marp-slide/skills/marp-slide/references/theme-css-guide.md
- Network accessline 5
Official documentation: https://marpit.marp.app/theme-css - Network accessline 391
For details, refer to official documentation: - **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 392
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 393
- **Marpit API**: https://marpit-api.marp.app/ - Network accessline 394
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes
dist/plugins/meme-factory/skills/meme-factory/README.md
- Network accessline 24
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.png - Network accessline 74
Generates: https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 82
Generates: https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 90
Generates: https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 98
Generates: https://api.memegen.link/images/drake/manual_testing/automated_testing.png - Network accessline 106
Generates: https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 141
4. **Browse templates:** Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 142
Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 146
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 194
- **[examples.md](references/examples.md)** - Practical usage examples - **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 195
- **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - **Template list** - https://api.memegen.link/templates/ - Network accessline 196
- **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 197
- **Template list** - https://api.memegen.link/templates/ - Network accessline 206
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dist/plugins/meme-factory/skills/meme-factory/SKILL.md
- Network accessline 24
| Action | Format | |--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 25
|--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | | With sizing | `?width=1200&height=630` | - Network accessline 26
| Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 27
| With sizing | `?width=1200&height=630` | | Custom background | `?style=https://example.com/image.jpg` | | All templates | https://api.memegen.link/templates/ | - Network accessline 28
| Custom background | `?style=https://example.com/image.jpg` | - Network accessline 29
| All templates | https://api.memegen.link/templates/ | - Network accessline 30
| Interactive docs | https://api.memegen.link/docs/ | - Network accessline 44
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{extension} - Network accessline 49
https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 142
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 178
View available: https://api.memegen.link/fonts/ - Network accessline 189
https://api.memegen.link/images/custom/hello/world.png?style=https://example.com/image.jpg - Network accessline 200
Template: fry https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 201
https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 207
Template: interesting https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 208
https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 214
Template: yodawg https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 215
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 221
Template: fine https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 222
https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 228
Template: success https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 229
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 242
 - Network accessline 261
return f"https://api.memegen.link/images/{template}/{top}/{bottom}.png" - Network accessline 298
1. Check template at https://api.memegen.link/templates/
dist/plugins/meme-factory/skills/meme-factory/references/examples.md
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https://api.memegen.link/images/fry/not_sure_if_improvements/or_over_engineering.png - Network accessline 122
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 136
https://api.memegen.link/images/fine/production_is_down/this_is_fine.png - Network accessline 154
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 455
For more examples and templates, visit: - https://api.memegen.link/docs/ - Network accessline 456
- https://api.memegen.link/docs/ - Network accessline 457
- https://api.memegen.link/templates/
dist/plugins/meme-factory/skills/meme-factory/references/markdown-memes-guide.md
- Network accessline 569
 - Network accessline 579
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{ext}?{options} - Network accessline 592
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- Memegen API: https://api.memegen.link/docs/ - Network accessline 1077
- Templates: https://api.memegen.link/templates/ - Network accessline 1078
- MkDocs Material: https://squidfunk.github.io/mkdocs-material/
dist/plugins/meme-factory/skills/meme-factory/scripts/meme_generator.py
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/README.md
- Network accessline 183
4. **Add relationships** - Connect elements with appropriate connectors 5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 184
5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) 7. **Embed or export** - Use in Markdown, export as image, or integrate - Network accessline 185
6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 233
- **[Mermaid Live Editor](https://mermaid.live)** - Interactive editor with instant preview and export - Network accessline 234
- **[Official Documentation](https://mermaid.js.org)** - Comprehensive syntax reference - Network accessline 242
- SKILL.md for quick reference - Reference files in `references/` for detailed syntax - [Mermaid official docs](https://mermaid.js.org) for latest features - Network accessline 244
- [Mermaid official docs](https://mermaid.js.org) for latest features
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/SKILL.md
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/references/advanced-features.md
- Network accessline 297
click A "https://github.com" "Go to GitHub" - Network accessline 298
click B "https://mermaid.js.org" "View Docs" - Network accessline 299
click C "https://mermaid.live" "Try Live Editor" - Network accessline 315
%% Tooltips are defined with links link A: API Documentation @ https://api.example.com - Network accessline 316
link A: API Documentation @ https://api.example.com - Network accessline 317
link B: Service Dashboard @ https://dashboard.example.com - Network accessline 514
<head> <script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; - Network accessline 515
<script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; mermaid.initialize({ - Network accessline 516
import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs';
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/references/architecture-diagrams.md
dist/plugins/mermaid-diagrams/skills/mermaid-diagrams/references/sequence-diagrams.md
- Network accessline 211
sequenceDiagram participant A as Service A link A: Dashboard @ https://dashboard.example.com - Network accessline 212
participant A as Service A link A: Dashboard @ https://dashboard.example.com link A: API Docs @ https://docs.example.com - Network accessline 213
link A: Dashboard @ https://dashboard.example.com - Network accessline 214
link A: API Docs @ https://docs.example.com
dist/plugins/mui/skills/mui/README.md
dist/plugins/plugin-forge/skills/plugin-forge/references/marketplace-schema.md
dist/plugins/plugin-forge/skills/plugin-forge/scripts/bump_version.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/plugin-forge/skills/plugin-forge/scripts/create_plugin.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/qa-test-planner/skills/qa-test-planner/SKILL.md
dist/plugins/qa-test-planner/skills/qa-test-planner/scripts/create_bug_report.sh
dist/plugins/qa-test-planner/skills/qa-test-planner/scripts/generate_test_cases.sh
dist/plugins/react-dev/skills/react-dev/examples/server-components.md
dist/plugins/react-dev/skills/react-dev/references/hooks.md
- Network accessline 263
fetch(url)
dist/plugins/react-dev/skills/react-dev/references/react-19-patterns.md
- Network accessline 427
// Send to server await fetch('/api/messages', { - Network accessline 428
await fetch('/api/messages', { - Network accessline 478
// Server update startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { - Network accessline 479
startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { method: 'PATCH', - Network accessline 480
const updated = await fetch(`/api/cart/${id}`, {
dist/plugins/react-dev/skills/react-dev/references/tanstack-router.md
dist/plugins/react-useeffect/skills/react-useeffect/README.md
- Network accessline 305
This skill is based on: - [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 306
- [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 307
- [React Official Docs: Synchronizing with Effects](https://react.dev/learn/synchronizing-with-effects) - Network accessline 308
- [React Official Docs: Lifecycle of Reactive Effects](https://react.dev/learn/lifecycle-of-reactive-effects)
dist/plugins/react-useeffect/skills/react-useeffect/alternatives.md
- Network accessline 216
fetch(url)
dist/plugins/reducing-entropy/skills/reducing-entropy/README.md
- Network accessline 139
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT)
dist/plugins/reducing-entropy/skills/reducing-entropy/adding-reference-mindsets.md
- Network accessline 88
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey - Network accessline 89
- [Hammock Driven Development](https://www.youtube.com/watch?v=f84n5oFoZBc) - Rich Hickey - Network accessline 90
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey - Network accessline 91
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks - Network accessline 92
- [No Silver Bullet](https://www.cs.unc.edu/techreports/86-020.pdf) - Fred Brooks - Network accessline 93
- [The Grug Brained Developer](https://grugbrain.dev/) - grugbrain.dev - Network accessline 94
- [Worse Is Better](https://www.dreamsongs.com/WorseIsBetter.html) - Richard Gabriel - Network accessline 95
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout - Network accessline 96
- [The Zen of Python](https://peps.python.org/pep-0020/) - Tim Peters
dist/plugins/reducing-entropy/skills/reducing-entropy/references/data-over-abstractions.md
- Network accessline 46
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey on data vs objects - Network accessline 47
- [Data-Oriented Design](https://www.dataorienteddesign.com/dodbook/) - Richard Fabian's book on DOD - Network accessline 48
- [CppCon 2014: Mike Acton "Data-Oriented Design"](https://www.youtube.com/watch?v=rX0ItVEVjHc) - Practical DOD in game engines
dist/plugins/reducing-entropy/skills/reducing-entropy/references/design-is-taking-apart.md
- Network accessline 54
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey on complecting vs composing - Network accessline 55
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks on essential vs accidental complexity - Network accessline 56
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout on deep vs shallow modules
dist/plugins/reducing-entropy/skills/reducing-entropy/references/expensive-to-add-later.md
- Network accessline 57
- [PAGNIs: Probably Are Gonna Need Its](https://simonwillison.net/2021/Jul/1/pagnis/) - Simon Willison - Network accessline 58
- [YAGNI Exceptions](https://lukeplant.me.uk/blog/posts/yagni-exceptions/) - Luke Plant - Network accessline 59
- [Application Security PAGNIs](https://jacobian.org/2021/jul/8/appsec-pagnis/) - Jacob Kaplan-Moss
dist/plugins/reducing-entropy/skills/reducing-entropy/references/simplicity-vs-easy.md
dist/plugins/session-handoff/skills/session-handoff/evals/setup_test_env.py
dist/plugins/session-handoff/skills/session-handoff/scripts/check_staleness.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/session-handoff/skills/session-handoff/scripts/create_handoff.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/session-handoff/skills/session-handoff/scripts/list_handoffs.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/session-handoff/skills/session-handoff/scripts/validate_handoff.py
- Executable scriptline 1
#!/usr/bin/env python3
dist/plugins/web-to-markdown/skills/web-to-markdown/README.md
- Network accessline 67
use the skill web-to-markdown to convert https://example.com/article to article.md - Network accessline 72
web2md 'https://example.com/article' --out ./article.md - Network accessline 80
use the skill web-to-markdown to convert https://example.com/article and save to ./output/ - Network accessline 85
mkdir -p ./output web2md 'https://example.com/article' --out ./output/ - Network accessline 86
web2md 'https://example.com/article' --out ./output/ - Network accessline 94
use the skill web-to-markdown to convert https://example.com/article and print the result - Network accessline 99
web2md 'https://example.com/article' --print - Network accessline 107
use the skill web-to-markdown to convert https://example.com/protected-article in interactive mode - Network accessline 112
mkdir -p ./tmp/web2md-profile web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 113
web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 123
use the skill web-to-markdown to convert these URLs: - https://example.com/article1 - Network accessline 124
- https://example.com/article1 - Network accessline 125
- https://example.com/article2 - Network accessline 126
- https://example.com/article3 - Network accessline 132
mkdir -p ./articles web2md 'https://example.com/article1' --out ./articles/ - Network accessline 133
web2md 'https://example.com/article1' --out ./articles/ - Network accessline 134
web2md 'https://example.com/article2' --out ./articles/ - Network accessline 135
web2md 'https://example.com/article3' --out ./articles/ - Network accessline 143
use the skill web-to-markdown to convert https://app.example.com/dashboard - Network accessline 149
web2md 'https://app.example.com/dashboard' --wait-until domcontentloaded --wait-for 'main' --out ./dashboard.md
dist/plugins/web-to-markdown/skills/web-to-markdown/SKILL.md
dist/plugins/writing-clearly-and-concisely/skills/writing-clearly-and-concisely/README.md
dist/plugins/writing-clearly-and-concisely/skills/writing-clearly-and-concisely/elements-of-style/04-a-few-matters-of-form.md
- Network accessline 29
[](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm "34")I recall the maxim of La Rochefoucauld, “Gratitude is a lively sense of benefits to come.” - Network accessline 63
**Syllabication.** If there is room at the end of a line for one or more syllables of a word, but not for the whole word, divide the word, unless this involves cutting off only a [](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm
dist/plugins/writing-clearly-and-concisely/skills/writing-clearly-and-concisely/signs-of-ai-writing.md
- Network accessline 3
[![A screenshot of ChatGPT reading: "[header] Legacy & Interpretation [body] The "Black Hole Edition" is not just a meme — it's a celebration of grassroots car culture, where ideas are limitless and fun is more important than spec sheets. W - Network accessline 7
This is a list of writing and formatting conventions typical of [AI chatbots](https://en.wikipedia.org/wiki/AI_chatbot "AI chatbot") such as [ChatGPT](https://en.wikipedia.org/wiki/ChatGPT "ChatGPT"), with real examples taken from Wikipedia - Network accessline 9
This list is *not* a ban on certain words, phrases, or punctuation. Not all text featuring these indicators is AI-generated, as the [large language models](https://en.wikipedia.org/wiki/Large_language_model "Large language model") that powe - Network accessline 11
The patterns here are also only potential *signs* of a problem, not *the problem itself*. While many of these issues are immediately obvious and easy to fix—e.g., excessive boldface, poor use of language and punctuation, broken markup, cita - Network accessline 13
The [speedy deletion policy](https://en.wikipedia.org/wiki/Wikipedia:Speedy_deletion "Wikipedia:Speedy deletion") criterion [G15](https://en.wikipedia.org/wiki/Wikipedia:G15 "Wikipedia:G15") (LLM-generated pages without human review) is lim - Network accessline 15
Do not solely rely on [artificial intelligence content detection](https://en.wikipedia.org/wiki/Artificial_intelligence_content_detection "Artificial intelligence content detection") tools (such as [GPTZero](https://en.wikipedia.org/wiki/GP - Network accessline 21
LLMs (and [artificial neural networks](https://en.wikipedia.org/wiki/Artificial_neural_network "Artificial neural network") in general) use statistical algorithms to guess (infer) what should come next based on a large corpus of training ma - Network accessline 33
> The Statistical Institute of Catalonia was officially established in 1989, marking a pivotal moment in the evolution of regional statistics in Spain. [...] > > The founding of Idescat represented a significant shift toward regional statis - Network accessline 35
> The founding of Idescat represented a significant shift toward regional statistical independence, enabling [Catalonia](https://en.wikipedia.org/wiki/Catalonia "Catalonia") to develop a statistical system tailored to its unique socio-econo - Network accessline 43
> During the [Spanish colonial period](https://en.wikipedia.org/wiki/Spanish_Colonial_Period_(Philippines) "Spanish Colonial Period (Philippines)"), the name *Bakunutan* was hispanized to *Bacnotan*, a modification reflected in official doc - Network accessline 61
Human-written press releases have of course also cited news clippings for decades, but LLMs specifically asked to write a Wikipedia article often echo the exact wording of [Wikipedia's guidelines](https://en.wikipedia.org/wiki/Wikipedia:N " - Network accessline 75
> The restaurant has also been mentioned in [ABC News](https://en.wikipedia.org/wiki/ABC_News_(Australia) "ABC News (Australia)") coverage relating to incidents in the surrounding precinct, underscoring its role as a well-known late-night v - Network accessline 77
> In the United States, university-based incubators and accelerators have expanded alongside these centers; an official Library of Congress review found that 31.5% of SBA [[Small Business Administration](https://en.wikipedia.org/wiki/Small_ - Network accessline 87
AI chatbots tend to insert superficial analysis of information, often in relation to its significance, recognition, or impact.[^7] This is often done by attaching a [present participle](https://en.wikipedia.org/wiki/Participle#Forms "Partic - Network accessline 89
While [many of these words are strong AI tells on their own](https://en.wikipedia.org/wiki/Wikipedia:AIWORDS "Wikipedia:AIWORDS"),[^6][^8] an even stronger tell is when the subjects of these verbs are facts, events, or other inanimate thing - Network accessline 91
Such comments are usually [synthesis](https://en.wikipedia.org/wiki/Wikipedia:SYNTH "Wikipedia:SYNTH") and/or unattributed opinions in wikivoice. Newer chatbots with [retrieval-augmented generation](https://en.wikipedia.org/wiki/Retrieval-a - Network accessline 103
> It holds a pivotal place in the [East Central Railway Zone](https://en.wikipedia.org/wiki/East_Central_Railway_Zone "East Central Railway Zone") of [Indian Railways](https://en.wikipedia.org/wiki/Indian_Railways "Indian Railways"), servin - Network accessline 119
> In general, AEO focuses on improving data consistency and machine readability so that information can be accurately understood by emerging "answer engines." Commonly discussed practices include using structured data formats such as [JSON- - Possible obfuscationline 165
> Operating in the current Afghan media environment presents numerous challenges, including[...] Despite these challenges, Amu TV has managed to continue to provide a vital service to the Afghan population<U+200B><U+200B>. - Network accessline 171
In AI-generated articles about topics with a title that is not a [proper name](https://en.wikipedia.org/wiki/Proper_name "Proper name"), such as a [list](https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style/Lists "Wikipedia:Manual of Sty - Network accessline 189
Many studies have demonstrated that LLMs overuse certain words – especially compared to pre-2022 text, which is almost certain to be human-written.[^6] These "AI vocabulary" words are also ubiquitous in AI-generated encyclopedias, such as [ - Network accessline 193
Please keep context in mind. For example, while the word "underscore" is overused in AI text, it can also refer to a literal underline mark, or to [incidental music](https://en.wikipedia.org/wiki/Incidental_music "Incidental music"). - Network accessline 197
> Somali cuisine is an intricate and diverse fusion of a multitude of culinary influences, drawing from the rich tapestry of [Arab](https://en.wikipedia.org/wiki/Arab_cuisine "Arab cuisine"), [Indian](https://en.wikipedia.org/wiki/Indian_cu - Network accessline 198
> > Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Mil - Network accessline 199
> Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Milk - Network accessline 200
> > An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [ - Network accessline 201
> An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [la - Network accessline 249
LLMs overuse the '[rule of three](https://en.wikipedia.org/wiki/Rule_of_three_(writing) "Rule of three (writing)")'. This can take different forms, from "adjective, adjective, adjective" to "short phrase, short phrase, and short phrase".[^1 - Network accessline 259
AI chatbots tend to attribute opinions or claims to some vague authority—a practice called [weasel wording](https://en.wikipedia.org/wiki/Weasel_wording "Weasel wording")—while citing only one or two sources that may or may not actually exp - Network accessline 265
— From [Draft:Nick Ford (musician)](https://en.wikipedia.org/wiki/Draft:Nick_Ford_(musician) "Draft:Nick Ford (musician)"). Here, the weasel wording implies the opinion comes from an independent source, but it actually cites Nick Ford's own - Network accessline 269
> The Kwararafa (Kororofa) confederacy is described in scholarship as a shifting [Benue valley](https://en.wikipedia.org/wiki/Benue_valley "Benue valley") coalition led by [Jukun](https://en.wikipedia.org/wiki/Jukun "Jukun") groups and inco - Network accessline 287
When *from ... to ...* constructions are not used figuratively, they are used to indicate the lower and upper bounds of a scale. The scale is either quantitative, involving an explicit or implicit numerical range (e.g. from 1990 to 2000, fr - Network accessline 303
> Global Context: Critical Mineral Demand > > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 304
> > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] > - Network accessline 305
> According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 307
> Strategic Negotiations and Global Partnerships > > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 308
> > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] > - Network accessline 309
> In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 311
> High-Stakes Deals: Glencore, China, and Russia > > There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 313
> There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 321
AI chatbots may display various phrases in [boldface](https://en.wikipedia.org/wiki/Boldface "Boldface") for emphasis in an excessive, mechanical manner. One of their tendencies, inherited from readmes, fan wikis, how-tos, sales pitches, sl - Network accessline 335
Instead of [proper wikitext](https://en.wikipedia.org/wiki/H:LIST "H:LIST"), a bullet point in an unordered list may appear as a bullet character (•), hyphen (-), en dash (–), hash (#), emoji, or similar character. Ordered lists (i.e. numbe - Network accessline 351
AI chatbots love using [emojis](https://en.wikipedia.org/wiki/Emoji "Emoji").[^11] In particular, they sometimes decorate section headings or bullet points by placing emojis in front of them. This is most noticeable in talkpage comments. - Network accessline 413
While human editors and writers often like [em dashes](https://en.wikipedia.org/wiki/Em_dash "Em dash") (—), AI *loves* them.[^11] LLM output uses them more often than nonprofessional human-written text of the same genre, and uses them in p - Network accessline 439
AI chatbots typically use curly quotation marks ("..." or '...') instead of straight quotation marks ("..." or '...'). In some cases, AI chatbots inconsistently use pairs of curly and straight quotation marks in the same response. They also - Network accessline 441
Curly quotes alone do not prove LLM use. [Microsoft Word](https://en.wikipedia.org/wiki/Microsoft_Word "Microsoft Word") as well as [macOS](https://en.wikipedia.org/wiki/MacOS "MacOS") and [iOS](https://en.wikipedia.org/wiki/IOS "IOS") devi - Network accessline 443
> McClelland, Mac (2017-09-27). ["When 'Not Guilty' Is a Life Sentence"](https://www.nytimes.com/2017/09/27/magazine/when-not-guilty-is-a-life-sentence.html). *The New York Times*. Retrieved 2025-08-03. - Network accessline 449
User messages and [unblock requests](https://en.wikipedia.org/wiki/Wikipedia:Identifying_LLM_unblock_requests "Wikipedia:Identifying LLM unblock requests") generated by AI chatbots sometimes begin with text that is intended to be pasted int - Network accessline 465
Editors sometimes paste text from an AI chatbot that was meant as correspondence, prewriting or advice, rather than article content. This may appear in article text or within comments (`<!-- -->`). Chatbots prompted to produce a Wikipedia a - Network accessline 485
If an LLM has a fixed [knowledge cutoff](https://en.wikipedia.org/wiki/Knowledge_cutoff "Knowledge cutoff") (usually the model's last training update), it is unable to provide any information on events or developments past that time, and it - Network accessline 487
If an LLM with retrieval-augmented generation fails to find sources on a given topic, or if information is not included in sources a user provides, it often outputs a statement to that effect, which is similar to a knowledge-cutoff disclaim - Network accessline 509
Prompt refusals are obviously unacceptable for Wikipedia articles, so if a user includes one anyway, it may indicate that they did not review the text and/or may not be proficient in English. Remember to [assume good faith](https://en.wikip - Network accessline 517
AI chatbots may generate responses with fill-in-the-blank [phrasal templates](https://en.wikipedia.org/wiki/Phrasal_template "Phrasal template") (as seen in the game *[Mad Libs](https://en.wikipedia.org/wiki/Mad_Libs "Mad Libs")*) for the L - Network accessline 571
AI chatbots are not proficient in [wikitext](https://en.wikipedia.org/wiki/H:WT "H:WT"), the [markup language](https://en.wikipedia.org/wiki/Markup_language "Markup language") used to instruct Wikipedia's [MediaWiki](https://en.wikipedia.or - Network accessline 573
When asked about its "formatting guidelines", a chatbot willing to reveal some of its system-level instructions typically generates some variation of the following (this is [Microsoft Copilot](https://en.wikipedia.org/wiki/Microsoft_Copilot - Network accessline 594
The presence of faulty wikitext syntax mixed with Markdown syntax is a strong indicator that content is LLM-generated, especially if in the form of a fenced Markdown code block. However, Markdown *alone* is not such a strong indicator. Soft - Network accessline 600
> - The Wikipedia entry does not explicitly mention the "Cyberhero League" being recognized as a winner of the World Future Society's BetaLaunch Technology competition, as detailed in the interview with THE FUTURIST ([[1]](https://conscious - Network accessline 604
> 1. 1. Geography > > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 605
> > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] > - Network accessline 606
> Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 612
> 1. 1. Administration > > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Ponta - Network accessline 613
> > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement o - Network accessline 614
> Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement of - Network accessline 661
> 1. **Group launch & meetings** > > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p= - Network accessline 662
> > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). > - Network accessline 663
> *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). - Network accessline 665
> 2. **Zero-rates pledge and platform** > > The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/I - Network accessline 667
> The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/Independent_Together?utm_source=chatgpt.com - Network accessline 683
> ^[Evdokimova was born on 6 October 1939 in Osnova, Kharkov Oblast, Ukrainian SSR (now Kharkiv, Ukraine).]({"attribution":{"attributableIndex":"1009-1"}}) ^[She graduated from the Gerasimov Institute of Cinematography (VGIK) in 1963, where - Network accessline 685
> Patrick Denice & Jake Rosenfeld, [Les syndicats et la rémunération non syndiquée aux États-Unis, 1977–2015](https://sociologicalscience.com/articles-v5-23-541/), ''Sociological Science'' (2018).]({"attribution":{"attributableIndex":"3795- - Network accessline 717
If a new article or draft has multiple citations with external links, and several of them are broken (e.g., returning [404 errors](https://en.wikipedia.org/wiki/404_error "404 error")), this is a strong sign of an AI-generated page, particu - Network accessline 721
A [checksum](https://en.wikipedia.org/wiki/Checksum "Checksum") can be used to verify [ISBNs](https://en.wikipedia.org/wiki/ISBN "ISBN"). An invalid checksum is a very likely sign that an ISBN is incorrect, and citation templates display a - Network accessline 735
The book references appear valid – a book on electric circuits would likely have information about Ohm's law – but without the page number, that citation is not useful for verifying the claims in the prose. Worse, both *Proceedings of the I - Network accessline 745
In this case, the *Smith, R. J.* source – being the "third source" the tool presumably generated the link 'https://pubmed.ncbi.nlm.nih.gov/3' (which has a PMID reference of 3) – is also completely irrelevant to the body of the article. The - Network accessline 749
> For over thirty years, computers have been utilized in the rehabilitation of individuals with brain injuries. Initially, researchers delved into the potential of developing a "prosthetic memory."<ref>Fowler R, Hart J, Sheehan M. A prosthe - Network accessline 757
> **Footnotes** > > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 758
> > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 > 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 759
> 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 760
> 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 764
ChatGPT may add the [UTM parameter](https://en.wikipedia.org/wiki/UTM_parameter "UTM parameter") `utm_source=openai` or, in edits prior to August 2025, `utm_source=chatgpt.com` to URLs that it is using as sources. Other LLMs, such as Gemini - Network accessline 770
> Following their marriage, Burgess and Graham settled in Cheshire, England, where Burgess serves as the head coach for the Warrington Wolves rugby league team. [https://www.theguardian.com/sport/2025/feb/11/sam-burgess-interview-warrington - Network accessline 772
> Vertex AI documentation and blog posts describe watermarking, verification workflow, and configurable safety filters (for example, person‑generation controls and safety thresholds). ([cloud.google.com](https://cloud.google.com/vertex-ai/g - Network accessline 782
- [Special:PermanentLink/1287201002#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1287201002#References "Special:PermanentLink/1287201002") - Network accessline 783
- [Special:PermanentLink/1292432848#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1292432848#References "Special:PermanentLink/1292432848") - Network accessline 784
- [Special:PermanentLink/1291491974#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291491974#References "Special:PermanentLink/1291491974") - Network accessline 785
- [Special:PermanentLink/1291561040#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291561040#References "Special:PermanentLink/1291561040") - Network accessline 807
AI-generated [edit summaries](https://en.wikipedia.org/wiki/Help:Edit_summary "Help:Edit summary") are often unusually long, written as formal, first-person paragraphs without abbreviations, and/or conspicuously itemize Wikipedia's conventi - Network accessline 845
False accusations of AI use can [drive away new editors](https://en.wikipedia.org/wiki/Wikipedia:BITE "Wikipedia:BITE") and foster an atmosphere of suspicion. Before claiming AI was used, consider if [Dunning–Kruger effect](https://en.wikip - Network accessline 875
[^1]: Russell, Jenna; Karpinska, Marzena; Iyyer, Mohit (2025). [*People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text*](https://aclanthology.org/2025.acl-long.267/). Proceedings of the 6 - Network accessline 877
[^2]: Dugan, Liam; Hwang, Alyssa; Trhlik, Filip; Zhu, Andrew; Ludan, Josh Magnus; Xu, Hainiu; Ippolito, Daphne; Callison-Burch, Chris (2024). [*RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors*](https://acl - Network accessline 879
[^3]: ["People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text"](https://arxiv.org/html/2501.15654v2). *arxiv.org*. Retrieved 2025-11-28. - Network accessline 883
[^5]: ["10 Ways AI Is Ruining Your Students' Writing"](https://www.chronicle.com/article/10-ways-ai-is-ruining-your-students-writing). *Chronicle of Higher Education*. September 16, 2025. Archived from the original on October 1, 2025. Retri - Network accessline 885
[^6]: Juzek, Tom S.; Ward, Zina B. (2025). [*Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models*](https://aclanthology.org/2025.coling-main.426.pdf) (PDF). Findings of the Associat - Network accessline 887
[^7]: Reinhart, Alex; Markey, Ben; Laudenbach, Michael; Pantusen, Kachatad; Yurko, Ronald; Weinberg, Gordon; Brown, David West. ["Do LLMs write like humans? Variation in grammatical and rhetorical styles"](http://arxiv.org/abs/2410.16107). - Network accessline 889
[^8]: Kobak, Dmitry; González-Márquez, Rita; Horvát, Emőke-Ágnes; Lause, Jan (2 July 2025). ["Delving into LLM-assisted writing in biomedical publications through excess vocabulary"](https://www.science.org/doi/10.1126/sciadv.adt3813). *Sci - Network accessline 891
[^9]: Ju, Da; Blix, Hagen; Williams, Adina (2025). [*Domain Regeneration: How well do LLMs match syntactic properties of text domains?*](https://aclanthology.org/2025.findings-acl.120). Findings of the Association for Computational Linguist - Network accessline 893
[^10]: Kousha, Kayvan; Thelwall, Mike (2025). [*How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis*](https://arxiv.org/pdf/2509.09596). ISSI 2025 Conference. arXiv:[2509.09596]( - Network accessline 895
[^11]: Merrill, Jeremy B.; Chen, Szu Yu; Kumer, Emma (13 November 2025). ["What are the clues that ChatGPT wrote something? We analyzed its style"](https://www.washingtonpost.com/technology/interactive/2025/how-detect-chatgpt-em-dash/). *Th - Network accessline 897
[^12]: ["Unproductive Interpretation of Work and Employment as Misinformation?"](https://www.laetusinpraesens.org/docs20s/workeco.php). Archived from the original on 2 September 2025. Retrieved 21 October 2025. - Network accessline 899
[^13]: See [T387903](https://phabricator.wikimedia.org/T387903 "phabricator:T387903"). - Network accessline 901
[^14]: Murray, Nathan; Tersigni, Elisa (21 July 2024). ["Can instructors detect AI-generated papers? Postsecondary writing instructor knowledge and perceptions of AI"](https://journals.sfu.ca/jalt/index.php/jalt/article/view/1895). *Journal
skills/agent-md-refactor/README.md
skills/c4-architecture/README.md
- Network accessline 175
- [C4 Model](https://c4model.com/) - Official C4 model documentation - Network accessline 175
- [C4 Model](https://c4model.com/) - Official C4 model documentation - Network accessline 176
- [Mermaid C4 Diagrams](https://mermaid.js.org/syntax/c4.html) - Mermaid C4 syntax documentation - Network accessline 176
- [Mermaid C4 Diagrams](https://mermaid.js.org/syntax/c4.html) - Mermaid C4 syntax documentation
skills/codex/README.md
- Network accessline 5
<img width="2288" height="808" alt="skillcodex" src="https://github.com/user-attachments/assets/85336a9f-4680-479e-b3fe-d6a68cadc051" /> - Network accessline 5
<img width="2288" height="808" alt="skillcodex" src="https://github.com/user-attachments/assets/85336a9f-4680-479e-b3fe-d6a68cadc051" /> - Dangerous shell operationline 21
git clone --depth 1 git@github.com:skills-directory/skill-codex.git /tmp/skills-temp && mkdir -p ~/.claude/skills && cp -r /tmp/skills-temp/ ~/.claude/skills/codex && rm -rf /tmp/skills-temp - Dangerous shell operationline 21
git clone --depth 1 git@github.com:skills-directory/skill-codex.git /tmp/skills-temp && mkdir -p ~/.claude/skills && cp -r /tmp/skills-temp/ ~/.claude/skills/codex && rm -rf /tmp/skills-temp - Dangerous shell operationline 24
rm -rf /tmp/skills-temp - Dangerous shell operationline 24
rm -rf /tmp/skills-temp
skills/commit-work/README.md
- Network accessline 156
- See `references/commit-message-template.md` for message templates - Uses Conventional Commits specification: https://www.conventionalcommits.org/ - Network accessline 156
- See `references/commit-message-template.md` for message templates - Uses Conventional Commits specification: https://www.conventionalcommits.org/ - Network accessline 157
- Uses Conventional Commits specification: https://www.conventionalcommits.org/ - Network accessline 157
- Uses Conventional Commits specification: https://www.conventionalcommits.org/
skills/crafting-effective-readmes/README.md
- Network accessline 180
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT) - Network accessline 180
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT)
skills/crafting-effective-readmes/references/art-of-readme.md
- Network accessline 3
> Source: [hackergrrl/art-of-readme](https://github.com/hackergrrl/art-of-readme) - Network accessline 3
> Source: [hackergrrl/art-of-readme](https://github.com/hackergrrl/art-of-readme) - Network accessline 14
The nomenclature dates back to *at least* the 1970s [and the PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 14
The nomenclature dates back to *at least* the 1970s [and the PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 15
PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 15
PDP-10](http://pdp-10.trailing-edge.com/decuslib10-04/01/43,50322/read.me.html), - Network accessline 53
The Node ecosystem is powered by its modules. [npm](https://npmjs.org) is the - Network accessline 53
The Node ecosystem is powered by its modules. [npm](https://npmjs.org) is the - Network accessline 83
Node has a "wide" ecosystem: it's largely made up of a very long list of independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 83
Node has a "wide" ecosystem: it's largely made up of a very long list of independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 84
independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, it is the single-purpose commoners who, given their larger numbers, truly rule - Network accessline 84
independent do-one-thing-well modules flying no flags but their own. There are [exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, it is the single-purpose commoners who, given their larger numbers, truly rule - Network accessline 85
[exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 85
[exceptions](https://github.com/lodash/lodash), but despite these minor fiefdoms, - Network accessline 104
Some experienced Node developers band together to create [curated lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 104
Some experienced Node developers band together to create [curated lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 105
lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 105
lists](https://github.com/sindresorhus/awesome-nodejs) of quality modules. - Network accessline 111
How about the social graph? This idea spurred the creation of [node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 111
How about the social graph? This idea spurred the creation of [node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 112
[node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 112
[node-modules.com](http://node-modules.com/), a npm search replacement that - Network accessline 116
Of course there is also npm's built-in [search](https://npmjs.org) - Network accessline 116
Of course there is also npm's built-in [search](https://npmjs.org) - Network accessline 119
No matter your approach, regardless whether a module spelunker enters the module underground at [npmjs.org](https://npmjs.org), - Network accessline 119
No matter your approach, regardless whether a module spelunker enters the module underground at [npmjs.org](https://npmjs.org), - Network accessline 120
underground at [npmjs.org](https://npmjs.org), - Network accessline 120
underground at [npmjs.org](https://npmjs.org), - Network accessline 121
[github.com](https://github.com), or somewhere else, this would-be user will - Network accessline 121
[github.com](https://github.com), or somewhere else, this would-be user will - Network accessline 167
It so turns out that the [monks](http://perlmonks.org) of the Perl community - Network accessline 167
It so turns out that the [monks](http://perlmonks.org) of the Perl community - Network accessline 168
indeed have a great deal of experience in writing [quality READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a wonderful resource that is worth reading through to learn more about a community - Network accessline 168
indeed have a great deal of experience in writing [quality READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a wonderful resource that is worth reading through to learn more about a community - Network accessline 169
READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a - Network accessline 169
READMEs](http://search.cpan.org/~kane/Archive-Tar/lib/Archive/Tar.pm). CPAN is a - Network accessline 186
> > Remember: the documentation, not the code, defines what a module does. -- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 186
> > Remember: the documentation, not the code, defines what a module does. -- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 188
-- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 188
-- [Ken Williams](http://mathforum.org/ken/perl_modules.html#document) - Network accessline 198
Let's say, for example, my search for a 2D collision detection module leads me to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 198
Let's say, for example, my search for a 2D collision detection module leads me to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 199
to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 199
to [`collide-2d-aabb-aabb`](https://github.com/hackergrrl/collide-2d-aabb-aabb). I - Network accessline 319
1. Consider including a **Background** section if your module depends on important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 319
1. Consider including a **Background** section if your module depends on important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 320
important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not immediately obvious from its name, so it has a detailed *Background* sectio - Network accessline 320
important but not widely known abstractions or other ecosystems. The function of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not immediately obvious from its name, so it has a detailed *Background* sectio - Network accessline 321
of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 321
of [`bisecting-between`](https://github.com/hackergrrl/bisecting-between) is not - Network accessline 341
5. Be judicious in your use of badges. They're easy to [abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 341
5. Be judicious in your use of badges. They're easy to [abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 342
[abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 342
[abuse](https://github.com/angular/angular). They can also be a breeding - Network accessline 368
e. aggressively linkify specialized terminology! In markdown you can keep [footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 368
e. aggressively linkify specialized terminology! In markdown you can keep [footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 369
[footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 369
[footnotes](https://daringfireball.net/projects/markdown/syntax#link) at - Network accessline 371
becomes cheap. Some of my personal preferences on API formatting can be found [here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 371
becomes cheap. Some of my personal preferences on API formatting can be found [here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 373
[here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 373
[here](https://github.com/hackergrrl/common-readme/blob/master/api_formatting.md) - Network accessline 375
7. If your module is a small collection of stateless functions, having a **Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 375
7. If your module is a small collection of stateless functions, having a **Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 376
**Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function calls and results might communicate usage more clearly than a source code - Network accessline 376
**Usage** section as a [Node REPL session](https://github.com/hackergrrl/bisecting-between#example) of function calls and results might communicate usage more clearly than a source code - Network accessline 377
session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 377
session](https://github.com/hackergrrl/bisecting-between#example) of function - Network accessline 386
9. Don't forget to use `package.json` [keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 386
9. Don't forget to use `package.json` [keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 387
[keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 387
[keywords](https://docs.npmjs.com/files/package.json#keywords) to direct - Network accessline 401
11. Finally, please remember that your version control repository and its embedded README will outlive your [repository host](https://github.com) and - Network accessline 401
11. Finally, please remember that your version control repository and its embedded README will outlive your [repository host](https://github.com) and - Network accessline 402
embedded README will outlive your [repository host](https://github.com) and - Network accessline 402
embedded README will outlive your [repository host](https://github.com) and - Network accessline 409
Not coincidentally, this is also the format used by [**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 409
Not coincidentally, this is also the format used by [**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 410
[**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 410
[**common-readme**](https://github.com/hackergrrl/common-readme), a set of README - Network accessline 415
You may also enjoy [standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 415
You may also enjoy [standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 416
[standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 416
[standard-readme](https://github.com/richardlitt/standard-readme), which is a - Network accessline 425
- https://github.com/hackergrrl/ice-box - Network accessline 425
- https://github.com/hackergrrl/ice-box - Network accessline 426
- https://github.com/substack/quote-stream - Network accessline 426
- https://github.com/substack/quote-stream - Network accessline 427
- https://github.com/feross/bittorrent-dht - Network accessline 427
- https://github.com/feross/bittorrent-dht - Network accessline 428
- https://github.com/mikolalysenko/box-intersect - Network accessline 428
- https://github.com/mikolalysenko/box-intersect - Network accessline 429
- https://github.com/freeman-lab/pixel-grid - Network accessline 429
- https://github.com/freeman-lab/pixel-grid - Network accessline 430
- https://github.com/mafintosh/torrent-stream - Network accessline 430
- https://github.com/mafintosh/torrent-stream - Network accessline 431
- https://github.com/pull-stream/pull-stream - Network accessline 431
- https://github.com/pull-stream/pull-stream - Network accessline 432
- https://github.com/substack/tape - Network accessline 432
- https://github.com/substack/tape - Network accessline 433
- https://github.com/yoshuawuyts/vmd - Network accessline 433
- https://github.com/yoshuawuyts/vmd - Network accessline 444
- [ ] Installation instructions - [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 444
- [ ] Installation instructions - [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 445
- [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - [ ] Caveats and limitations mentioned up-front - Network accessline 445
- [ ] Extensive API documentation - [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - [ ] Caveats and limitations mentioned up-front - Network accessline 446
- [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 446
- [ ] Performs [cognitive funneling](https://github.com/hackergrrl/art-of-readme#cognitive-funneling) - Network accessline 454
Hi, I'm [Kira](http://kira.solar). - Network accessline 454
Hi, I'm [Kira](http://kira.solar). - Network accessline 457
digging into how Perl monks write their documentation and also lamenting the state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 457
digging into how Perl monks write their documentation and also lamenting the state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 458
state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" section overflowed with tips though, which I decided could be usefully collected - Network accessline 458
state of READMEs in the Node ecosystem. It spurred me to create [common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" section overflowed with tips though, which I decided could be usefully collected - Network accessline 459
[common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 459
[common-readme](https://github.com/hackergrrl/common-readme). The "README Tips" - Network accessline 466
- [README-Driven Development](http://tom.preston-werner.com/2010/08/23/readme-driven-development.html) - Network accessline 466
- [README-Driven Development](http://tom.preston-werner.com/2010/08/23/readme-driven-development.html) - Network accessline 467
- [Documentation First](http://joeyh.name/blog/entry/documentation_first/) - Network accessline 467
- [Documentation First](http://joeyh.name/blog/entry/documentation_first/) - Network accessline 472
1. <a name="footnote-1"></a>Thanks, [Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 472
1. <a name="footnote-1"></a>Thanks, [Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 473
[Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 473
[Sixes666](https://www.reddit.com/r/node/comments/55eto9/nodejs_the_art_of_readme/d8akpz6)! - Network accessline 475
2. <a name="footnote-2"></a>See [The Jargon File](http://catb.org/~esr/jargon/html/R/README-file.html). - Network accessline 475
2. <a name="footnote-2"></a>See [The Jargon File](http://catb.org/~esr/jargon/html/R/README-file.html). - Network accessline 483
A heartfelt thank you to [@mafintosh](https://github.com/mafintosh) and - Network accessline 483
A heartfelt thank you to [@mafintosh](https://github.com/mafintosh) and - Network accessline 484
[@feross](https://github.com/feross) for the encouragement I needed to get this - Network accessline 484
[@feross](https://github.com/feross) for the encouragement I needed to get this - Network accessline 490
- [@ungoldman](https://github.com/ungoldman) - Network accessline 490
- [@ungoldman](https://github.com/ungoldman) - Network accessline 491
- [@boidolr](https://github.com/boidolr) - Network accessline 491
- [@boidolr](https://github.com/boidolr) - Network accessline 492
- [@imjoehaines](https://github.com/imjoehaines) - Network accessline 492
- [@imjoehaines](https://github.com/imjoehaines) - Network accessline 493
- [@radarhere](https://github.com/radarhere) - Network accessline 493
- [@radarhere](https://github.com/radarhere) - Network accessline 494
- [@joshmanders](https://github.com/joshmanders) - Network accessline 494
- [@joshmanders](https://github.com/joshmanders) - Network accessline 495
- [@ddbeck](https://github.com/ddbeck) - Network accessline 495
- [@ddbeck](https://github.com/ddbeck) - Network accessline 496
- [@RichardLitt](https://github.com/RichardLitt) - Network accessline 496
- [@RichardLitt](https://github.com/RichardLitt) - Network accessline 497
- [@StevenMaude](https://github.com/StevenMaude) - Network accessline 497
- [@StevenMaude](https://github.com/StevenMaude) - Network accessline 498
- [@KrishMunot](https://github.com/KrishMunot) - Network accessline 498
- [@KrishMunot](https://github.com/KrishMunot) - Network accessline 499
- [@chesterhow](https://github.com/chesterhow) - Network accessline 499
- [@chesterhow](https://github.com/chesterhow) - Network accessline 500
- [@sjsyrek](https://github.com/sjsyrek) - Network accessline 500
- [@sjsyrek](https://github.com/sjsyrek) - Network accessline 501
- [@thenickcox](https://github.com/thenickcox) - Network accessline 501
- [@thenickcox](https://github.com/thenickcox) - Network accessline 503
Thank you to [@qihaiyan](https://github.com/qihaiyan) for translating Art of - Network accessline 503
Thank you to [@qihaiyan](https://github.com/qihaiyan) for translating Art of - Network accessline 506
- [@BrettDong](https://github.com/brettdong) for revising punctuation in Chinese version. - Network accessline 506
- [@BrettDong](https://github.com/brettdong) for revising punctuation in Chinese version. - Network accessline 507
- [@Alex-fun](https://github.com/Alex-fun) - Network accessline 507
- [@Alex-fun](https://github.com/Alex-fun) - Network accessline 508
- [@HmyBmny](https://github.com/HmyBmny) - Network accessline 508
- [@HmyBmny](https://github.com/HmyBmny) - Network accessline 509
- [@vra](https://github.com/vra) - Network accessline 509
- [@vra](https://github.com/vra) - Network accessline 511
Thank you to [@lennonjesus](https://github.com/lennonjesus) for translating Art - Network accessline 511
Thank you to [@lennonjesus](https://github.com/lennonjesus) for translating Art - Network accessline 514
- [@rectius](https://github.com/rectius) - Network accessline 514
- [@rectius](https://github.com/rectius) - Network accessline 516
Thank you to [@jabiinfante](https://github.com/jabiinfante) for translating Art - Network accessline 516
Thank you to [@jabiinfante](https://github.com/jabiinfante) for translating Art - Network accessline 519
Thank you to [@Ryuno-Ki](https://github.com/Ryuno-Ki) for translating Art of - Network accessline 519
Thank you to [@Ryuno-Ki](https://github.com/Ryuno-Ki) for translating Art of - Network accessline 522
- [@randomC0der](https://github.com/randomC0der) - Network accessline 522
- [@randomC0der](https://github.com/randomC0der) - Network accessline 524
Thank you to [@Manfred Madelaine](https://github.com/Manfred-Madelaine-pro) and - Network accessline 524
Thank you to [@Manfred Madelaine](https://github.com/Manfred-Madelaine-pro) and - Network accessline 525
[@Ruben Madelaine](https://github.com/Ruben-Madelaine) - Network accessline 525
[@Ruben Madelaine](https://github.com/Ruben-Madelaine) - Network accessline 528
## Other Resources Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 528
## Other Resources Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 529
Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - [GNU Releases](https://www.gnu.org/prep/standards/ht - Network accessline 529
Some readers have suggested other useful resources for README composition: - [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - [GNU Releases](https://www.gnu.org/prep/standards/ht - Network accessline 530
- [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 530
- [Software Release Practice](https://tldp.org/HOWTO/Software-Release-Practice-HOWTO/distpractice.html#readme) - Network accessline 531
- [GNU Releases](https://www.gnu.org/prep/standards/html_node/Releases.html#index-README-file) - Network accessline 531
- [GNU Releases](https://www.gnu.org/prep/standards/html_node/Releases.html#index-README-file) - Network accessline 536
[Creative Commons Attribution License](http://creativecommons.org/licenses/by/2.0/) - Network accessline 536
[Creative Commons Attribution License](http://creativecommons.org/licenses/by/2.0/)
skills/crafting-effective-readmes/references/make-a-readme.md
- Network accessline 3
> Source: [makeareadme.com](https://www.makeareadme.com) by Danny Guo - Network accessline 3
> Source: [makeareadme.com](https://www.makeareadme.com) by Danny Guo - Network accessline 31
While READMEs can be written in any text file format, the most common one that is used nowadays is Markdown. It allows you to add some lightweight formatting. You can learn more about it at the [CommonMark website](https://commonmark.org/). - Network accessline 31
While READMEs can be written in any text file format, the most common one that is used nowadays is Markdown. It allows you to add some lightweight formatting. You can learn more about it at the [CommonMark website](https://commonmark.org/). - Network accessline 47
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use [Shields.io](http://shields.io/) to add some to your README. Many services also have instructions - Network accessline 47
On some READMEs, you may see small images that convey metadata, such as whether or not all the tests are passing for the project. You can use [Shields.io](http://shields.io/) to add some to your README. Many services also have instructions - Network accessline 51
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like [ttygif](https://github.com/icholy/ttygif) can help, but check out [Asciinema] - Network accessline 51
Depending on what you are making, it can be a good idea to include screenshots or even a video (you'll frequently see GIFs rather than actual videos). Tools like [ttygif](https://github.com/icholy/ttygif) can help, but check out [Asciinema] - Network accessline 105
- [Docusaurus](https://docusaurus.io/) - Network accessline 105
- [Docusaurus](https://docusaurus.io/) - Network accessline 106
- [GitBook](https://www.gitbook.com/) - Network accessline 106
- [GitBook](https://www.gitbook.com/) - Network accessline 107
- [MkDocs](https://www.mkdocs.org/) - Network accessline 107
- [MkDocs](https://www.mkdocs.org/) - Network accessline 108
- [Read the Docs](https://readthedocs.org/) - Network accessline 108
- [Read the Docs](https://readthedocs.org/) - Network accessline 109
- [Docsify](https://docsify.js.org/) - Network accessline 109
- [Docsify](https://docsify.js.org/) - Network accessline 113
A [changelog](https://en.wikipedia.org/wiki/Changelog) is another file that is very useful for programming projects. See [Keep a Changelog](http://keepachangelog.com/). - Network accessline 113
A [changelog](https://en.wikipedia.org/wiki/Changelog) is another file that is very useful for programming projects. See [Keep a Changelog](http://keepachangelog.com/).
skills/crafting-effective-readmes/references/standard-readme-example-maximal.md
- Network accessline 5
 - Network accessline 5
 - Network accessline 6
 - Network accessline 6
 - Network accessline 7
[](LICENSE) - Network accessline 7
[](LICENSE) - Network accessline 8
[](https://github.com/RichardLitt/standard-readme) - Network accessline 8
[](https://github.com/RichardLitt/standard-readme) - Network accessline 62
Small note: If editing the Readme, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) specification. - Network accessline 62
Small note: If editing the Readme, please conform to the [standard-readme](https://github.com/RichardLitt/standard-readme) specification.
skills/crafting-effective-readmes/references/standard-readme-spec.md
- Network accessline 3
> Source: [Standard Readme](https://github.com/RichardLitt/standard-readme) by Richard Litt - Network accessline 3
> Source: [Standard Readme](https://github.com/RichardLitt/standard-readme) by Richard Litt - Network accessline 73
**Suggestions:** - Use http://shields.io or a similar service to create and host the images. - Network accessline 73
**Suggestions:** - Use http://shields.io or a similar service to create and host the images. - Network accessline 74
- Use http://shields.io or a similar service to create and host the images. - Network accessline 74
- Use http://shields.io or a similar service to create and host the images. - Network accessline 75
- Add the [Standard Readme badge](https://github.com/RichardLitt/standard-readme#badge). - Network accessline 75
- Add the [Standard Readme badge](https://github.com/RichardLitt/standard-readme#badge). - Network accessline 88
**Suggestions:** - Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 88
**Suggestions:** - Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 89
- Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 89
- Use [gh-description](https://github.com/RichardLitt/gh-description) to set and get GitHub description. - Network accessline 90
- Use `npm show . description` to show the description from a local [npm](https://npmjs.com) package. - Network accessline 90
- Use `npm show . description` to show the description from a local [npm](https://npmjs.com) package. - Network accessline 112
~ [Kirrily "Skud" Robert, perlmodstyle](http://perldoc.perl.org/perlmodstyle.html) - Network accessline 112
~ [Kirrily "Skud" Robert, perlmodstyle](http://perldoc.perl.org/perlmodstyle.html) - Network accessline 148
**Suggestions:** - Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 148
**Suggestions:** - Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 149
- Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 149
- Link to prerequisite sites for programming language: [npmjs](https://npmjs.com), [godocs](https://godoc.org), etc. - Network accessline 230
**Requirements:** - State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the l - Network accessline 230
**Requirements:** - State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the l - Network accessline 231
- State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the license file. (Thes - Network accessline 231
- State license full name or identifier, as listed on the [SPDX](https://spdx.org/licenses/) license list. For unlicensed repositories, add `UNLICENSED`. For more details, add `SEE LICENSE IN <filename>` and link to the license file. (Thes - Network accessline 242
- **Documentation repositories**: Repositories without any functional code. For instance, [RichardLitt/knowledge](https://github.com/RichardLitt/knowledge). - Network accessline 242
- **Documentation repositories**: Repositories without any functional code. For instance, [RichardLitt/knowledge](https://github.com/RichardLitt/knowledge).
skills/crafting-effective-readmes/templates/internal.md
skills/crafting-effective-readmes/templates/oss.md
- Network accessline 11
[](LICENSE) - Network accessline 11
[](LICENSE) - Network accessline 12
[](https://github.com/[user]/[repo]/actions) - Network accessline 12
[](https://github.com/[user]/[repo]/actions) - Network accessline 13
[](https://www.npmjs.com/package/[package-name]) - Network accessline 13
[](https://www.npmjs.com/package/[package-name])
skills/daily-meeting-update/README.md
- Network accessline 201
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 201
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 202
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 202
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 203
- https://github.com/org/repo/pull/125 - Network accessline 203
- https://github.com/org/repo/pull/125 - Network accessline 204
- https://github.com/org/repo/pull/120 - Network accessline 204
- https://github.com/org/repo/pull/120
skills/daily-meeting-update/SKILL.md
- Network accessline 381
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 381
--- *Links:* - https://github.com/org/repo/pull/125 - Network accessline 382
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 382
*Links:* - https://github.com/org/repo/pull/125 - https://github.com/org/repo/pull/120 - Network accessline 383
- https://github.com/org/repo/pull/125 - Network accessline 383
- https://github.com/org/repo/pull/125 - Network accessline 384
- https://github.com/org/repo/pull/120 - Network accessline 384
- https://github.com/org/repo/pull/120
skills/daily-meeting-update/scripts/claude_digest.py
skills/datadog-cli/README.md
- Network accessline 3
A Claude Code skill for debugging and triaging with [Datadog](https://www.datadoghq.com/) logs, metrics, and dashboards. - Network accessline 3
A Claude Code skill for debugging and triaging with [Datadog](https://www.datadoghq.com/) logs, metrics, and dashboards. - Network accessline 7
This skill enables Claude to use the [datadog](https://github.com/leonardocouy/datadog-cli) CLI for: - Network accessline 7
This skill enables Claude to use the [datadog](https://github.com/leonardocouy/datadog-cli) CLI for: - Network accessline 18
1. Install the CLI from [leonardocouy/datadog-cli](https://github.com/leonardocouy/datadog-cli) - Network accessline 18
1. Install the CLI from [leonardocouy/datadog-cli](https://github.com/leonardocouy/datadog-cli) - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 22
[Credential-related source omitted] - Access to secretsline 23
[Credential-related source omitted] - Access to secretsline 23
[Credential-related source omitted] - Network accessline 26
Get keys from: https://app.datadoghq.com/organization-settings/api-keys - Network accessline 26
Get keys from: https://app.datadoghq.com/organization-settings/api-keys - Network accessline 42
- "Show me error patterns from today" - "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 42
- "Show me error patterns from today" - "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 43
- "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - "Create a new Datadog dashboard for the metrics cpu.usage, memory.used" - Network accessline 43
- "What dashboards do we have?" - "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - "Create a new Datadog dashboard for the metrics cpu.usage, memory.used" - Network accessline 44
- "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 44
- "Please explain this Datadog dashboard https://app.datadoghq.com/dashboard/xxx-xxx-xxx" - Network accessline 68
See the [datadog-cli](https://github.com/leonardocouy/datadog-cli) repository for complete command documentation. - Network accessline 68
See the [datadog-cli](https://github.com/leonardocouy/datadog-cli) repository for complete command documentation.
skills/datadog-cli/SKILL.md
- Access to secretsline 24
[Credential-related source omitted] - Access to secretsline 24
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Access to secretsline 25
[Credential-related source omitted] - Network accessline 28
Get keys from: https://app.datadoghq.com/organization-settings/api-keys - Network accessline 28
Get keys from: https://app.datadoghq.com/organization-settings/api-keys
skills/dependency-updater/README.md
- Dangerous shell operationline 243
rm -rf node_modules package-lock.json - Dangerous shell operationline 243
rm -rf node_modules package-lock.json - Dangerous shell operationline 251
rm -rf venv - Dangerous shell operationline 251
rm -rf venv - Dangerous shell operationline 260
rm go.sum - Dangerous shell operationline 260
rm go.sum - Network accessline 280
| Tool | Language | Purpose | Link | |------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 280
| Tool | Language | Purpose | Link | |------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 281
|------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | | npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check - Network accessline 281
|------|----------|---------|------| | taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | | npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check - Network accessline 282
| taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 282
| taze | Node.js | Smart dependency updates | [GitHub](https://github.com/antfu-collective/taze) | - Network accessline 283
| npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check-updates) | - Network accessline 283
| npm-check-updates | Node.js | Alternative to taze | [GitHub](https://github.com/raineorshine/npm-check-updates) | - Network accessline 284
| pip-review | Python | Interactive pip updates | [GitHub](https://github.com/jgonggrijp/pip-review) | - Network accessline 284
| pip-review | Python | Interactive pip updates | [GitHub](https://github.com/jgonggrijp/pip-review) | - Network accessline 285
| cargo-edit | Rust | Cargo dependency management | [GitHub](https://github.com/killercup/cargo-edit) | - Network accessline 285
| cargo-edit | Rust | Cargo dependency management | [GitHub](https://github.com/killercup/cargo-edit) | - Network accessline 286
| bundler-audit | Ruby | Security auditing | [GitHub](https://github.com/rubysec/bundler-audit) | - Network accessline 286
| bundler-audit | Ruby | Security auditing | [GitHub](https://github.com/rubysec/bundler-audit) |
skills/dependency-updater/SKILL.md
- Dangerous shell operationline 234
rm -rf node_modules package-lock.json - Dangerous shell operationline 234
rm -rf node_modules package-lock.json - Dangerous shell operationline 239
rm -rf venv - Dangerous shell operationline 239
rm -rf venv - Dangerous shell operationline 245
rm go.sum - Dangerous shell operationline 245
rm go.sum - Network accessline 485
| Tool | Language | Purpose | |------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 485
| Tool | Language | Purpose | |------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 486
|------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | | [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 486
|------|----------|---------| | [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | | [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 487
| [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 487
| [taze](https://github.com/antfu-collective/taze) | Node.js | Smart dependency updates | - Network accessline 488
| [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 488
| [npm-check-updates](https://github.com/raineorshine/npm-check-updates) | Node.js | Alternative to taze | - Network accessline 489
| [pip-review](https://github.com/jgonggrijp/pip-review) | Python | Interactive pip updates | - Network accessline 489
| [pip-review](https://github.com/jgonggrijp/pip-review) | Python | Interactive pip updates | - Network accessline 490
| [cargo-edit](https://github.com/killercup/cargo-edit) | Rust | Cargo dependency management | - Network accessline 490
| [cargo-edit](https://github.com/killercup/cargo-edit) | Rust | Cargo dependency management | - Network accessline 491
| [bundler-audit](https://github.com/rubysec/bundler-audit) | Ruby | Security auditing | - Network accessline 491
| [bundler-audit](https://github.com/rubysec/bundler-audit) | Ruby | Security auditing |
skills/dependency-updater/scripts/check-tool.sh
skills/dependency-updater/scripts/run-taze.sh
skills/design-system-starter/SKILL.md
skills/design-system-starter/templates/component-template.tsx
skills/design-system-starter/templates/design-tokens-template.json
- Network accessline 1
{ "$schema": "https://design-tokens.org/schemas/v1.0.0/design-tokens.schema.json", - Network accessline 1
{ "$schema": "https://design-tokens.org/schemas/v1.0.0/design-tokens.schema.json", - Network accessline 2
"$schema": "https://design-tokens.org/schemas/v1.0.0/design-tokens.schema.json", - Network accessline 2
"$schema": "https://design-tokens.org/schemas/v1.0.0/design-tokens.schema.json",
skills/draw-io/README.md
- Network accessline 259
- [Layout Guidelines](references/layout-guidelines.md) - Detailed spacing and alignment rules - [AWS Icons](references/aws-icons.md) - Complete AWS icon catalog - [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io refer - Network accessline 259
- [Layout Guidelines](references/layout-guidelines.md) - Detailed spacing and alignment rules - [AWS Icons](references/aws-icons.md) - Complete AWS icon catalog - [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io refer - Network accessline 261
- [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io reference - Network accessline 261
- [draw.io Documentation](https://www.drawio.com/doc/) - Official draw.io reference
skills/draw-io/references/aws-icons.md
- Network accessline 673
- [draw.io AWS Diagrams Blog](https://www.drawio.com/blog/aws-diagrams) - Network accessline 673
- [draw.io AWS Diagrams Blog](https://www.drawio.com/blog/aws-diagrams) - Network accessline 674
- [AWS Architecture Icons](https://aws.amazon.com/architecture/icons/) - Network accessline 674
- [AWS Architecture Icons](https://aws.amazon.com/architecture/icons/) - Network accessline 675
- [jgraph/drawio GitHub](https://github.com/jgraph/drawio) - Network accessline 675
- [jgraph/drawio GitHub](https://github.com/jgraph/drawio) - Network accessline 676
- [awsicons.dev](https://awsicons.dev/) - Network accessline 676
- [awsicons.dev](https://awsicons.dev/) - Network accessline 677
- [diagrams-aws-icons](https://github.com/m-radzikowski/diagrams-aws-icons) - Network accessline 677
- [diagrams-aws-icons](https://github.com/m-radzikowski/diagrams-aws-icons)
skills/draw-io/scripts/convert-drawio-to-png.sh
skills/draw-io/scripts/find_aws_icon.py
skills/gemini/README.md
- Network accessline 334
- [Gemini CLI Documentation](https://github.com/google/generative-ai-docs) - Network accessline 334
- [Gemini CLI Documentation](https://github.com/google/generative-ai-docs) - Network accessline 335
- [Gemini API Reference](https://ai.google.dev/docs) - Network accessline 335
- [Gemini API Reference](https://ai.google.dev/docs) - Network accessline 336
- [Model Comparison](https://ai.google.dev/models/gemini) - Network accessline 336
- [Model Comparison](https://ai.google.dev/models/gemini)
skills/gepetto/README.md
- Network accessline 192
# Gemini CLI (Google) # See: https://github.com/google-gemini/gemini-cli - Network accessline 192
# Gemini CLI (Google) # See: https://github.com/google-gemini/gemini-cli - Network accessline 193
# See: https://github.com/google-gemini/gemini-cli - Network accessline 193
# See: https://github.com/google-gemini/gemini-cli - Network accessline 195
# Codex CLI (OpenAI) # See: https://github.com/openai/codex - Network accessline 195
# Codex CLI (OpenAI) # See: https://github.com/openai/codex - Network accessline 196
# See: https://github.com/openai/codex - Network accessline 196
# See: https://github.com/openai/codex - Network accessline 301
gepetto generates `claude-ralph-loop-prompt.md` for optional integration with [ralph-loop](https://github.com/anthropics/claude-plugins-official/tree/main/plugins/ralph-loop). - Network accessline 301
gepetto generates `claude-ralph-loop-prompt.md` for optional integration with [ralph-loop](https://github.com/anthropics/claude-plugins-official/tree/main/plugins/ralph-loop). - Network accessline 382
gepetto generates `claude-ralphy-prd.md` for optional integration with [Ralphy](https://github.com/michaelshimeles/ralphy), an autonomous AI coding loop that works with multiple AI engines. - Network accessline 382
gepetto generates `claude-ralphy-prd.md` for optional integration with [Ralphy](https://github.com/michaelshimeles/ralphy), an autonomous AI coding loop that works with multiple AI engines. - Network accessline 453
See the [Ralphy repository](https://github.com/michaelshimeles/ralphy) for installation, configuration, and advanced features. - Network accessline 453
See the [Ralphy repository](https://github.com/michaelshimeles/ralphy) for installation, configuration, and advanced features. - Network accessline 481
**Crafted by:** Leonardo Flores **License:** MIT **Repository:** https://github.com/softaworks/gepetto - Network accessline 481
**Crafted by:** Leonardo Flores **License:** MIT **Repository:** https://github.com/softaworks/gepetto - Network accessline 483
**Repository:** https://github.com/softaworks/gepetto - Network accessline 483
**Repository:** https://github.com/softaworks/gepetto
skills/humanizer/README.md
- Network accessline 10
mkdir -p ~/.claude/skills git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 10
mkdir -p ~/.claude/skills git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 11
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 11
git clone https://github.com/blader/humanizer.git ~/.claude/skills/humanizer - Network accessline 41
Based on [Wikipedia's "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generate - Network accessline 41
Based on [Wikipedia's "Signs of AI writing"](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) guide, maintained by WikiProject AI Cleanup. This comprehensive guide comes from observations of thousands of instances of AI-generate - Network accessline 108
- [Wikipedia: Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) - Primary source - Network accessline 108
- [Wikipedia: Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing) - Primary source - Network accessline 109
- [WikiProject AI Cleanup](https://en.wikipedia.org/wiki/Wikipedia:WikiProject_AI_Cleanup) - Maintaining organization - Network accessline 109
- [WikiProject AI Cleanup](https://en.wikipedia.org/wiki/Wikipedia:WikiProject_AI_Cleanup) - Maintaining organization
skills/humanizer/SKILL.md
- Network accessline 12
Credits: Original skill by @blader - https://github.com/blader/humanizer - Network accessline 12
Credits: Original skill by @blader - https://github.com/blader/humanizer - Network accessline 437
This skill is based on [Wikipedia:Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing), maintained by WikiProject AI Cleanup. The patterns documented there come from observations of thousands of instances of AI- - Network accessline 437
This skill is based on [Wikipedia:Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing), maintained by WikiProject AI Cleanup. The patterns documented there come from observations of thousands of instances of AI-
skills/jira/README.md
- Network accessline 157
# Linux # Download from https://github.com/ankitpokhrel/jira-cli/releases - Network accessline 157
# Linux # Download from https://github.com/ankitpokhrel/jira-cli/releases - Network accessline 158
# Download from https://github.com/ankitpokhrel/jira-cli/releases - Network accessline 158
# Download from https://github.com/ankitpokhrel/jira-cli/releases
skills/jira/SKILL.md
- Network accessline 159
1. **jira CLI** (recommended): https://github.com/ankitpokhrel/jira-cli - Network accessline 159
1. **jira CLI** (recommended): https://github.com/ankitpokhrel/jira-cli - Network accessline 160
https://github.com/ankitpokhrel/jira-cli - Network accessline 160
https://github.com/ankitpokhrel/jira-cli
skills/jira/references/mcp.md
- Network accessline 303
[Credential-related source omitted] - Network accessline 303
[Credential-related source omitted] - Access to secretsline 303
[Credential-related source omitted] - Access to secretsline 303
[Credential-related source omitted] - Network accessline 307
Required environment variables: - `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 307
Required environment variables: - `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 308
- `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 308
- `JIRA_BASE_URL`: Your Atlassian instance (e.g., `https://yourcompany.atlassian.net`) - Network accessline 343
[Link text|https://example.com] - Network accessline 343
[Link text|https://example.com]
skills/marp-slide/README.md
- Network accessline 203
### External Links - [Marp Official Site](https://marp.app/) - Network accessline 203
### External Links - [Marp Official Site](https://marp.app/) - Network accessline 204
- [Marp Official Site](https://marp.app/) - Network accessline 204
- [Marp Official Site](https://marp.app/) - Network accessline 205
- [Marpit Directives](https://marpit.marp.app/directives) - Network accessline 205
- [Marpit Directives](https://marpit.marp.app/directives) - Network accessline 206
- [Marpit Image Syntax](https://marpit.marp.app/image-syntax) - Network accessline 206
- [Marpit Image Syntax](https://marpit.marp.app/image-syntax) - Network accessline 207
- [Marp CLI GitHub](https://github.com/marp-team/marp-cli) - Network accessline 207
- [Marp CLI GitHub](https://github.com/marp-team/marp-cli)
skills/marp-slide/SKILL.md
- Network accessline 231
### Official External Links - **Marp Official Site**: https://marp.app/ - Network accessline 231
### Official External Links - **Marp Official Site**: https://marp.app/ - Network accessline 232
- **Marp Official Site**: https://marp.app/ - Network accessline 232
- **Marp Official Site**: https://marp.app/ - Network accessline 233
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 233
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 234
- **Marpit Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 234
- **Marpit Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 235
- **Marpit Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 235
- **Marpit Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 236
- **Marp Core GitHub**: https://github.com/marp-team/marp-core - Network accessline 236
- **Marp Core GitHub**: https://github.com/marp-team/marp-core - Network accessline 237
- **Marp CLI GitHub**: https://github.com/marp-team/marp-cli - Network accessline 237
- **Marp CLI GitHub**: https://github.com/marp-team/marp-cli
skills/marp-slide/assets/template-basic.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/template-business.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap');
skills/marp-slide/assets/template-colorful.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap');
skills/marp-slide/assets/template-dark.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/template-gradient.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/template-minimal.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap');
skills/marp-slide/assets/template-tech.md
- Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 7
<style> @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 8
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap');
skills/marp-slide/assets/theme-business.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap');
skills/marp-slide/assets/theme-colorful.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700;900&display=swap');
skills/marp-slide/assets/theme-dark.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/theme-default.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/theme-gradient.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&display=swap');
skills/marp-slide/assets/theme-minimal.css
- Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@300;400;500&display=swap');
skills/marp-slide/assets/theme-tech.css
- Network accessline 1
/* Google Fontsから日本語フォントとコードフォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 1
/* Google Fontsから日本語フォントとコードフォントを読み込み */ @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap'); - Network accessline 2
@import url('https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;700&family=Fira+Code:wght@400;500;700&display=swap');
skills/marp-slide/references/advanced-features.md
- Network accessline 9
Official documentation: https://github.com/marp-team/marpit/tree/main/docs/fragmented-list - Network accessline 9
Official documentation: https://github.com/marp-team/marpit/tree/main/docs/fragmented-list - Network accessline 41
Official: https://github.com/marp-team/marp-core#math-typesetting - Network accessline 41
Official: https://github.com/marp-team/marp-core#math-typesetting - Network accessline 86
- **KaTeX notation**: Subset of LaTeX syntax - **Unsupported notation**: Some LaTeX features not supported - **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 86
- **KaTeX notation**: Subset of LaTeX syntax - **Unsupported notation**: Some LaTeX features not supported - **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 88
- **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 88
- **KaTeX official**: https://katex.org/docs/supported.html - Network accessline 94
Official: https://github.com/marp-team/marp-core#emoji - Network accessline 94
Official: https://github.com/marp-team/marp-core#emoji - Network accessline 118
Complete list: https://github.com/ikatyang/emoji-cheat-sheet - Network accessline 118
Complete list: https://github.com/ikatyang/emoji-cheat-sheet - Network accessline 193
Official: https://github.com/marp-team/marp-cli - Network accessline 193
Official: https://github.com/marp-team/marp-cli - Network accessline 276
Official: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode - Network accessline 276
Official: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode - Network accessline 314
Official: https://github.com/marketplace/actions/marp-action - Network accessline 314
Official: https://github.com/marketplace/actions/marp-action - Network accessline 435
- **Marp Official Site**: https://marp.app/ - Network accessline 435
- **Marp Official Site**: https://marp.app/ - Network accessline 436
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 436
- **Marpit Directives**: https://marpit.marp.app/directives - Network accessline 437
- **Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 437
- **Image Syntax**: https://marpit.marp.app/image-syntax - Network accessline 438
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 438
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 439
- **Marp Core**: https://github.com/marp-team/marp-core - Network accessline 439
- **Marp Core**: https://github.com/marp-team/marp-core - Network accessline 440
- **Marp CLI**: https://github.com/marp-team/marp-cli - Network accessline 440
- **Marp CLI**: https://github.com/marp-team/marp-cli - Network accessline 441
- **VS Code Extension**: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode - Network accessline 441
- **VS Code Extension**: https://marketplace.visualstudio.com/items?itemName=marp-team.marp-vscode
skills/marp-slide/references/image-patterns.md
- Network accessline 5
Official documentation: https://marpit.marp.app/image-syntax - Network accessline 5
Official documentation: https://marpit.marp.app/image-syntax - Network accessline 287
For details, refer to official documentation: - **Image syntax**: https://marpit.marp.app/image-syntax - Network accessline 287
For details, refer to official documentation: - **Image syntax**: https://marpit.marp.app/image-syntax - Network accessline 288
- **Image syntax**: https://marpit.marp.app/image-syntax - Network accessline 288
- **Image syntax**: https://marpit.marp.app/image-syntax
skills/marp-slide/references/marp-syntax.md
- Network accessline 202
- **Directives List**: https://marpit.marp.app/directives - Network accessline 202
- **Directives List**: https://marpit.marp.app/directives - Network accessline 203
- **Marp Core Features**: https://github.com/marp-team/marp-core - Network accessline 203
- **Marp Core Features**: https://github.com/marp-team/marp-core - Network accessline 204
- **Theme CSS Specification**: https://marpit.marp.app/theme-css - Network accessline 204
- **Theme CSS Specification**: https://marpit.marp.app/theme-css - Network accessline 205
- **Official Site**: https://marp.app/ - Network accessline 205
- **Official Site**: https://marp.app/
skills/marp-slide/references/official-themes.md
- Network accessline 5
Official implementation: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 5
Official implementation: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 403
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 403
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 404
- **Marp Core README**: https://github.com/marp-team/marp-core - Network accessline 404
- **Marp Core README**: https://github.com/marp-team/marp-core - Network accessline 405
- **Theme CSS Specification**: https://marpit.marp.app/theme-css - Network accessline 405
- **Theme CSS Specification**: https://marpit.marp.app/theme-css
skills/marp-slide/references/theme-css-guide.md
- Network accessline 5
Official documentation: https://marpit.marp.app/theme-css - Network accessline 5
Official documentation: https://marpit.marp.app/theme-css - Network accessline 391
For details, refer to official documentation: - **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 391
For details, refer to official documentation: - **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 392
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 392
- **Theme CSS**: https://marpit.marp.app/theme-css - Network accessline 393
- **Marpit API**: https://marpit-api.marp.app/ - Network accessline 393
- **Marpit API**: https://marpit-api.marp.app/ - Network accessline 394
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes - Network accessline 394
- **Official Theme Implementation**: https://github.com/marp-team/marp-core/tree/main/themes
skills/meme-factory/README.md
- Network accessline 24
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.png - Network accessline 24
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.png - Network accessline 74
Generates: https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 74
Generates: https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 82
Generates: https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 82
Generates: https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 90
Generates: https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 90
Generates: https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 98
Generates: https://api.memegen.link/images/drake/manual_testing/automated_testing.png - Network accessline 98
Generates: https://api.memegen.link/images/drake/manual_testing/automated_testing.png - Network accessline 106
Generates: https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 106
Generates: https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 141
4. **Browse templates:** Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 141
4. **Browse templates:** Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 142
Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 142
Visit https://api.memegen.link/templates/ to see all available templates - Network accessline 146
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 146
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 194
- **[examples.md](references/examples.md)** - Practical usage examples - **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 194
- **[examples.md](references/examples.md)** - Practical usage examples - **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 195
- **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - **Template list** - https://api.memegen.link/templates/ - Network accessline 195
- **[meme_generator.py](scripts/meme_generator.py)** - Python helper script - **memegen.link API docs** - https://api.memegen.link/docs/ - **Template list** - https://api.memegen.link/templates/ - Network accessline 196
- **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 196
- **memegen.link API docs** - https://api.memegen.link/docs/ - Network accessline 197
- **Template list** - https://api.memegen.link/templates/ - Network accessline 197
- **Template list** - https://api.memegen.link/templates/ - Network accessline 206
 - Network accessline 206
 - Network accessline 216
 - Network accessline 216
 - Network accessline 226
 - Network accessline 226

skills/meme-factory/SKILL.md
- Network accessline 24
| Action | Format | |--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 24
| Action | Format | |--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 25
|--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | | With sizing | `?width=1200&height=630` | - Network accessline 25
|--------|--------| | Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | | With sizing | `?width=1200&height=630` | - Network accessline 26
| Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 26
| Basic meme | `https://api.memegen.link/images/{template}/{top}/{bottom}.png` | - Network accessline 27
| With sizing | `?width=1200&height=630` | | Custom background | `?style=https://example.com/image.jpg` | | All templates | https://api.memegen.link/templates/ | - Network accessline 27
| With sizing | `?width=1200&height=630` | | Custom background | `?style=https://example.com/image.jpg` | | All templates | https://api.memegen.link/templates/ | - Network accessline 28
| Custom background | `?style=https://example.com/image.jpg` | - Network accessline 28
| Custom background | `?style=https://example.com/image.jpg` | - Network accessline 29
| All templates | https://api.memegen.link/templates/ | - Network accessline 29
| All templates | https://api.memegen.link/templates/ | - Network accessline 30
| Interactive docs | https://api.memegen.link/docs/ | - Network accessline 30
| Interactive docs | https://api.memegen.link/docs/ | - Network accessline 44
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{extension} - Network accessline 44
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{extension} - Network accessline 49
https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 49
https://api.memegen.link/images/buzz/memes/memes_everywhere.png - Network accessline 142
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 142
curl -I "https://api.memegen.link/images/buzz/test/test.png" - Network accessline 178
View available: https://api.memegen.link/fonts/ - Network accessline 178
View available: https://api.memegen.link/fonts/ - Network accessline 189
https://api.memegen.link/images/custom/hello/world.png?style=https://example.com/image.jpg - Network accessline 189
https://api.memegen.link/images/custom/hello/world.png?style=https://example.com/image.jpg - Network accessline 200
Template: fry https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 200
Template: fry https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 201
https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 201
https://api.memegen.link/images/fry/not_sure_if_feature/or_bug.png - Network accessline 207
Template: interesting https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 207
Template: interesting https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 208
https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 208
https://api.memegen.link/images/interesting/i_dont_always_test/but_when_i_do_i_do_it_in_production.png - Network accessline 214
Template: yodawg https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 214
Template: yodawg https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 215
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 215
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 221
Template: fine https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 221
Template: fine https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 222
https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 222
https://api.memegen.link/images/fine/memory_usage_at_99~/this_is_fine.png - Network accessline 228
Template: success https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 228
Template: success https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 229
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 229
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 242
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return f"https://api.memegen.link/images/{template}/{top}/{bottom}.png" - Network accessline 261
return f"https://api.memegen.link/images/{template}/{top}/{bottom}.png" - Network accessline 298
1. Check template at https://api.memegen.link/templates/ - Network accessline 298
1. Check template at https://api.memegen.link/templates/
skills/meme-factory/references/examples.md
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https://api.memegen.link/images/fry/not_sure_if_improvements/or_over_engineering.png - Network accessline 108
https://api.memegen.link/images/fry/not_sure_if_improvements/or_over_engineering.png - Network accessline 122
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 122
https://api.memegen.link/images/success/deployed_to_production/zero_downtime.png - Network accessline 136
https://api.memegen.link/images/fine/production_is_down/this_is_fine.png - Network accessline 136
https://api.memegen.link/images/fine/production_is_down/this_is_fine.png - Network accessline 154
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 154
https://api.memegen.link/images/yodawg/yo_dawg_i_heard_you_like_docs/so_i_documented_the_documentation.png - Network accessline 455
For more examples and templates, visit: - https://api.memegen.link/docs/ - Network accessline 455
For more examples and templates, visit: - https://api.memegen.link/docs/ - Network accessline 456
- https://api.memegen.link/docs/ - Network accessline 456
- https://api.memegen.link/docs/ - Network accessline 457
- https://api.memegen.link/templates/ - Network accessline 457
- https://api.memegen.link/templates/
skills/meme-factory/references/markdown-memes-guide.md
- Network accessline 569
 - Network accessline 569
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https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{ext}?{options} - Network accessline 579
https://api.memegen.link/images/{template}/{top_text}/{bottom_text}.{ext}?{options} - Network accessline 592
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- Memegen API: https://api.memegen.link/docs/ - Network accessline 1076
- Memegen API: https://api.memegen.link/docs/ - Network accessline 1077
- Templates: https://api.memegen.link/templates/ - Network accessline 1077
- Templates: https://api.memegen.link/templates/ - Network accessline 1078
- MkDocs Material: https://squidfunk.github.io/mkdocs-material/ - Network accessline 1078
- MkDocs Material: https://squidfunk.github.io/mkdocs-material/
skills/meme-factory/scripts/meme_generator.py
skills/mermaid-diagrams/README.md
- Network accessline 183
4. **Add relationships** - Connect elements with appropriate connectors 5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 183
4. **Add relationships** - Connect elements with appropriate connectors 5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 184
5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) 7. **Embed or export** - Use in Markdown, export as image, or integrate - Network accessline 184
5. **Refine and style** - Add details, notes, and custom theming 6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) 7. **Embed or export** - Use in Markdown, export as image, or integrate - Network accessline 185
6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 185
6. **Validate** - Test in [Mermaid Live Editor](https://mermaid.live) - Network accessline 233
- **[Mermaid Live Editor](https://mermaid.live)** - Interactive editor with instant preview and export - Network accessline 233
- **[Mermaid Live Editor](https://mermaid.live)** - Interactive editor with instant preview and export - Network accessline 234
- **[Official Documentation](https://mermaid.js.org)** - Comprehensive syntax reference - Network accessline 234
- **[Official Documentation](https://mermaid.js.org)** - Comprehensive syntax reference - Network accessline 242
- SKILL.md for quick reference - Reference files in `references/` for detailed syntax - [Mermaid official docs](https://mermaid.js.org) for latest features - Network accessline 242
- SKILL.md for quick reference - Reference files in `references/` for detailed syntax - [Mermaid official docs](https://mermaid.js.org) for latest features - Network accessline 244
- [Mermaid official docs](https://mermaid.js.org) for latest features - Network accessline 244
- [Mermaid official docs](https://mermaid.js.org) for latest features
skills/mermaid-diagrams/SKILL.md
- Network accessline 190
**Export options:** - [Mermaid Live Editor](https://mermaid.live) - Online editor with PNG/SVG export - Network accessline 190
**Export options:** - [Mermaid Live Editor](https://mermaid.live) - Online editor with PNG/SVG export - Network accessline 191
- [Mermaid Live Editor](https://mermaid.live) - Online editor with PNG/SVG export - Network accessline 191
- [Mermaid Live Editor](https://mermaid.live) - Online editor with PNG/SVG export
skills/mermaid-diagrams/references/advanced-features.md
- Network accessline 297
click A "https://github.com" "Go to GitHub" - Network accessline 297
click A "https://github.com" "Go to GitHub" - Network accessline 298
click B "https://mermaid.js.org" "View Docs" - Network accessline 298
click B "https://mermaid.js.org" "View Docs" - Network accessline 299
click C "https://mermaid.live" "Try Live Editor" - Network accessline 299
click C "https://mermaid.live" "Try Live Editor" - Network accessline 315
%% Tooltips are defined with links link A: API Documentation @ https://api.example.com - Network accessline 315
%% Tooltips are defined with links link A: API Documentation @ https://api.example.com - Network accessline 316
link A: API Documentation @ https://api.example.com - Network accessline 316
link A: API Documentation @ https://api.example.com - Network accessline 317
link B: Service Dashboard @ https://dashboard.example.com - Network accessline 317
link B: Service Dashboard @ https://dashboard.example.com - Network accessline 514
<head> <script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; - Network accessline 514
<head> <script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; - Network accessline 515
<script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; mermaid.initialize({ - Network accessline 515
<script type="module"> import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; mermaid.initialize({ - Network accessline 516
import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs'; - Network accessline 516
import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs';
skills/mermaid-diagrams/references/architecture-diagrams.md
- Network accessline 191
- [Official Documentation](https://mermaid.js.org/syntax/architecture.html) - Network accessline 191
- [Official Documentation](https://mermaid.js.org/syntax/architecture.html) - Network accessline 192
- [Iconify Icons](https://iconify.design) - Network accessline 192
- [Iconify Icons](https://iconify.design)
skills/mermaid-diagrams/references/sequence-diagrams.md
- Network accessline 211
sequenceDiagram participant A as Service A link A: Dashboard @ https://dashboard.example.com - Network accessline 211
sequenceDiagram participant A as Service A link A: Dashboard @ https://dashboard.example.com - Network accessline 212
participant A as Service A link A: Dashboard @ https://dashboard.example.com link A: API Docs @ https://docs.example.com - Network accessline 212
participant A as Service A link A: Dashboard @ https://dashboard.example.com link A: API Docs @ https://docs.example.com - Network accessline 213
link A: Dashboard @ https://dashboard.example.com - Network accessline 213
link A: Dashboard @ https://dashboard.example.com - Network accessline 214
link A: API Docs @ https://docs.example.com - Network accessline 214
link A: API Docs @ https://docs.example.com
skills/mui/README.md
- Network accessline 230
- [MUI Official Documentation](https://mui.com/material-ui/) - Network accessline 230
- [MUI Official Documentation](https://mui.com/material-ui/) - Network accessline 231
- [MUI v7 Migration Guide](https://mui.com/material-ui/migration/upgrade-to-v7/) - Network accessline 231
- [MUI v7 Migration Guide](https://mui.com/material-ui/migration/upgrade-to-v7/) - Network accessline 232
- [MUI System (sx prop)](https://mui.com/system/getting-started/) - Network accessline 232
- [MUI System (sx prop)](https://mui.com/system/getting-started/)
skills/plugin-forge/references/marketplace-schema.md
- Network accessline 85
"source": { "source": "url", "url": "https://git.example.com/plugin.git" - Network accessline 85
"source": { "source": "url", "url": "https://git.example.com/plugin.git" - Network accessline 86
"source": "url", "url": "https://git.example.com/plugin.git" } - Network accessline 86
"source": "url", "url": "https://git.example.com/plugin.git" } - Network accessline 87
"url": "https://git.example.com/plugin.git" - Network accessline 87
"url": "https://git.example.com/plugin.git"
skills/plugin-forge/scripts/bump_version.py
skills/plugin-forge/scripts/create_plugin.py
skills/qa-test-planner/SKILL.md
- Access to secretsline 674
[Credential-related source omitted] - Access to secretsline 674
[Credential-related source omitted] - Network accessline 676
### Test Steps 1. Navigate to https://app.example.com/login - Network accessline 676
### Test Steps 1. Navigate to https://app.example.com/login - Network accessline 677
1. Navigate to https://app.example.com/login - Network accessline 677
1. Navigate to https://app.example.com/login
skills/qa-test-planner/scripts/create_bug_report.sh
skills/qa-test-planner/scripts/generate_test_cases.sh
skills/react-dev/examples/server-components.md
- Network accessline 37
async function fetchUser(id: string): Promise<User> { const res = await fetch(`https://api.example.com/users/${id}`, { - Network accessline 37
async function fetchUser(id: string): Promise<User> { const res = await fetch(`https://api.example.com/users/${id}`, { - Network accessline 38
const res = await fetch(`https://api.example.com/users/${id}`, { - Network accessline 38
const res = await fetch(`https://api.example.com/users/${id}`, { - Access to secretsline 436
[Credential-related source omitted] - Access to secretsline 436
[Credential-related source omitted]
skills/react-dev/references/hooks.md
skills/react-dev/references/react-19-patterns.md
- Network accessline 427
// Send to server await fetch('/api/messages', { - Network accessline 427
// Send to server await fetch('/api/messages', { - Network accessline 428
await fetch('/api/messages', { - Network accessline 428
await fetch('/api/messages', { - Network accessline 478
// Server update startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { - Network accessline 478
// Server update startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { - Network accessline 479
startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { method: 'PATCH', - Network accessline 479
startTransition(async () => { const updated = await fetch(`/api/cart/${id}`, { method: 'PATCH', - Network accessline 480
const updated = await fetch(`/api/cart/${id}`, { - Network accessline 480
const updated = await fetch(`/api/cart/${id}`, {
skills/react-dev/references/tanstack-router.md
- Network accessline 134
async function fetchUser(id: string): Promise<User> { const res = await fetch(`/api/users/${id}`); - Network accessline 134
async function fetchUser(id: string): Promise<User> { const res = await fetch(`/api/users/${id}`); - Network accessline 135
const res = await fetch(`/api/users/${id}`); - Network accessline 135
const res = await fetch(`/api/users/${id}`);
skills/react-useeffect/README.md
- Network accessline 305
This skill is based on: - [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 305
This skill is based on: - [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 306
- [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 306
- [React Official Docs: You Might Not Need an Effect](https://react.dev/learn/you-might-not-need-an-effect) - Network accessline 307
- [React Official Docs: Synchronizing with Effects](https://react.dev/learn/synchronizing-with-effects) - Network accessline 307
- [React Official Docs: Synchronizing with Effects](https://react.dev/learn/synchronizing-with-effects) - Network accessline 308
- [React Official Docs: Lifecycle of Reactive Effects](https://react.dev/learn/lifecycle-of-reactive-effects) - Network accessline 308
- [React Official Docs: Lifecycle of Reactive Effects](https://react.dev/learn/lifecycle-of-reactive-effects)
skills/react-useeffect/alternatives.md
skills/reducing-entropy/README.md
- Network accessline 139
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT) - Network accessline 139
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT)
skills/reducing-entropy/adding-reference-mindsets.md
- Network accessline 88
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey - Network accessline 88
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey - Network accessline 89
- [Hammock Driven Development](https://www.youtube.com/watch?v=f84n5oFoZBc) - Rich Hickey - Network accessline 89
- [Hammock Driven Development](https://www.youtube.com/watch?v=f84n5oFoZBc) - Rich Hickey - Network accessline 90
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey - Network accessline 90
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey - Network accessline 91
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks - Network accessline 91
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks - Network accessline 92
- [No Silver Bullet](https://www.cs.unc.edu/techreports/86-020.pdf) - Fred Brooks - Network accessline 92
- [No Silver Bullet](https://www.cs.unc.edu/techreports/86-020.pdf) - Fred Brooks - Network accessline 93
- [The Grug Brained Developer](https://grugbrain.dev/) - grugbrain.dev - Network accessline 93
- [The Grug Brained Developer](https://grugbrain.dev/) - grugbrain.dev - Network accessline 94
- [Worse Is Better](https://www.dreamsongs.com/WorseIsBetter.html) - Richard Gabriel - Network accessline 94
- [Worse Is Better](https://www.dreamsongs.com/WorseIsBetter.html) - Richard Gabriel - Network accessline 95
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout - Network accessline 95
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout - Network accessline 96
- [The Zen of Python](https://peps.python.org/pep-0020/) - Tim Peters - Network accessline 96
- [The Zen of Python](https://peps.python.org/pep-0020/) - Tim Peters
skills/reducing-entropy/references/data-over-abstractions.md
- Network accessline 46
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey on data vs objects - Network accessline 46
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Rich Hickey on data vs objects - Network accessline 47
- [Data-Oriented Design](https://www.dataorienteddesign.com/dodbook/) - Richard Fabian's book on DOD - Network accessline 47
- [Data-Oriented Design](https://www.dataorienteddesign.com/dodbook/) - Richard Fabian's book on DOD - Network accessline 48
- [CppCon 2014: Mike Acton "Data-Oriented Design"](https://www.youtube.com/watch?v=rX0ItVEVjHc) - Practical DOD in game engines - Network accessline 48
- [CppCon 2014: Mike Acton "Data-Oriented Design"](https://www.youtube.com/watch?v=rX0ItVEVjHc) - Practical DOD in game engines
skills/reducing-entropy/references/design-is-taking-apart.md
- Network accessline 54
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey on complecting vs composing - Network accessline 54
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey on complecting vs composing - Network accessline 55
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks on essential vs accidental complexity - Network accessline 55
- [Out of the Tar Pit](https://curtclifton.net/papers/MosesleyMarks06a.pdf) - Moseley & Marks on essential vs accidental complexity - Network accessline 56
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout on deep vs shallow modules - Network accessline 56
- [A Philosophy of Software Design](https://www.amazon.com/dp/173210221X) - John Ousterhout on deep vs shallow modules
skills/reducing-entropy/references/expensive-to-add-later.md
- Network accessline 57
- [PAGNIs: Probably Are Gonna Need Its](https://simonwillison.net/2021/Jul/1/pagnis/) - Simon Willison - Network accessline 57
- [PAGNIs: Probably Are Gonna Need Its](https://simonwillison.net/2021/Jul/1/pagnis/) - Simon Willison - Network accessline 58
- [YAGNI Exceptions](https://lukeplant.me.uk/blog/posts/yagni-exceptions/) - Luke Plant - Network accessline 58
- [YAGNI Exceptions](https://lukeplant.me.uk/blog/posts/yagni-exceptions/) - Luke Plant - Network accessline 59
- [Application Security PAGNIs](https://jacobian.org/2021/jul/8/appsec-pagnis/) - Jacob Kaplan-Moss - Network accessline 59
- [Application Security PAGNIs](https://jacobian.org/2021/jul/8/appsec-pagnis/) - Jacob Kaplan-Moss
skills/reducing-entropy/references/simplicity-vs-easy.md
- Network accessline 45
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey's canonical talk on this distinction - Network accessline 45
- [Simple Made Easy](https://www.infoq.com/presentations/Simple-Made-Easy/) - Rich Hickey's canonical talk on this distinction - Network accessline 46
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Related talk on immutability and simplicity - Network accessline 46
- [The Value of Values](https://www.infoq.com/presentations/Value-Values/) - Related talk on immutability and simplicity
skills/session-handoff/evals/setup_test_env.py
- Executable scriptline 1
#!/usr/bin/env python3 - Executable scriptline 1
#!/usr/bin/env python3 - Access to secretsline 79
[Credential-related source omitted] - Access to secretsline 79
[Credential-related source omitted] - Access to secretsline 197
[Credential-related source omitted] - Access to secretsline 197
[Credential-related source omitted] - Network accessline 270
- JWT documentation: https://jwt.io - Network accessline 270
- JWT documentation: https://jwt.io
skills/session-handoff/scripts/check_staleness.py
skills/session-handoff/scripts/create_handoff.py
skills/session-handoff/scripts/list_handoffs.py
skills/session-handoff/scripts/validate_handoff.py
skills/web-to-markdown/README.md
- Network accessline 67
use the skill web-to-markdown to convert https://example.com/article to article.md - Network accessline 67
use the skill web-to-markdown to convert https://example.com/article to article.md - Network accessline 72
web2md 'https://example.com/article' --out ./article.md - Network accessline 72
web2md 'https://example.com/article' --out ./article.md - Network accessline 80
use the skill web-to-markdown to convert https://example.com/article and save to ./output/ - Network accessline 80
use the skill web-to-markdown to convert https://example.com/article and save to ./output/ - Network accessline 85
mkdir -p ./output web2md 'https://example.com/article' --out ./output/ - Network accessline 85
mkdir -p ./output web2md 'https://example.com/article' --out ./output/ - Network accessline 86
web2md 'https://example.com/article' --out ./output/ - Network accessline 86
web2md 'https://example.com/article' --out ./output/ - Network accessline 94
use the skill web-to-markdown to convert https://example.com/article and print the result - Network accessline 94
use the skill web-to-markdown to convert https://example.com/article and print the result - Network accessline 99
web2md 'https://example.com/article' --print - Network accessline 99
web2md 'https://example.com/article' --print - Network accessline 107
use the skill web-to-markdown to convert https://example.com/protected-article in interactive mode - Network accessline 107
use the skill web-to-markdown to convert https://example.com/protected-article in interactive mode - Network accessline 112
mkdir -p ./tmp/web2md-profile web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 112
mkdir -p ./tmp/web2md-profile web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 113
web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 113
web2md 'https://example.com/protected-article' --interactive --user-data-dir ./tmp/web2md-profile --out ./output/ - Network accessline 123
use the skill web-to-markdown to convert these URLs: - https://example.com/article1 - Network accessline 123
use the skill web-to-markdown to convert these URLs: - https://example.com/article1 - Network accessline 124
- https://example.com/article1 - Network accessline 124
- https://example.com/article1 - Network accessline 125
- https://example.com/article2 - Network accessline 125
- https://example.com/article2 - Network accessline 126
- https://example.com/article3 - Network accessline 126
- https://example.com/article3 - Network accessline 132
mkdir -p ./articles web2md 'https://example.com/article1' --out ./articles/ - Network accessline 132
mkdir -p ./articles web2md 'https://example.com/article1' --out ./articles/ - Network accessline 133
web2md 'https://example.com/article1' --out ./articles/ - Network accessline 133
web2md 'https://example.com/article1' --out ./articles/ - Network accessline 134
web2md 'https://example.com/article2' --out ./articles/ - Network accessline 134
web2md 'https://example.com/article2' --out ./articles/ - Network accessline 135
web2md 'https://example.com/article3' --out ./articles/ - Network accessline 135
web2md 'https://example.com/article3' --out ./articles/ - Network accessline 143
use the skill web-to-markdown to convert https://app.example.com/dashboard - Network accessline 143
use the skill web-to-markdown to convert https://app.example.com/dashboard - Network accessline 149
web2md 'https://app.example.com/dashboard' --wait-until domcontentloaded --wait-for 'main' --out ./dashboard.md - Network accessline 149
web2md 'https://app.example.com/dashboard' --wait-until domcontentloaded --wait-for 'main' --out ./dashboard.md
skills/web-to-markdown/SKILL.md
- Network accessline 50
1) Confirm the user explicitly invoked the skill (`use the skill web-to-markdown`). 2) Validate URL(s) start with `http://` or `https://`. - Network accessline 50
1) Confirm the user explicitly invoked the skill (`use the skill web-to-markdown`). 2) Validate URL(s) start with `http://` or `https://`. - Network accessline 51
2) Validate URL(s) start with `http://` or `https://`. - Network accessline 51
2) Validate URL(s) start with `http://` or `https://`.
skills/writing-clearly-and-concisely/README.md
- Network accessline 154
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT) - Network accessline 154
- Original skill by @joshuadavidthomas from [joshuadavidthomas/agent-skills](https://github.com/joshuadavidthomas/agent-skills) (MIT) - Network accessline 155
- Adapted from [obra/the-elements-of-style](https://github.com/obra/the-elements-of-style) - Network accessline 155
- Adapted from [obra/the-elements-of-style](https://github.com/obra/the-elements-of-style)
skills/writing-clearly-and-concisely/elements-of-style/04-a-few-matters-of-form.md
- Network accessline 29
[](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm "34")I recall the maxim of La Rochefoucauld, “Gratitude is a lively sense of benefits to come.” - Network accessline 29
[](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm "34")I recall the maxim of La Rochefoucauld, “Gratitude is a lively sense of benefits to come.” - Network accessline 63
**Syllabication.** If there is room at the end of a line for one or more syllables of a word, but not for the whole word, divide the word, unless this involves cutting off only a [](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm - Network accessline 63
**Syllabication.** If there is room at the end of a line for one or more syllables of a word, but not for the whole word, divide the word, unless this involves cutting off only a [](https://www.gutenberg.org/files/37134/37134-h/37134-h.htm
skills/writing-clearly-and-concisely/signs-of-ai-writing.md
- Network accessline 3
[![A screenshot of ChatGPT reading: "[header] Legacy & Interpretation [body] The "Black Hole Edition" is not just a meme — it's a celebration of grassroots car culture, where ideas are limitless and fun is more important than spec sheets. W - Network accessline 3
[![A screenshot of ChatGPT reading: "[header] Legacy & Interpretation [body] The "Black Hole Edition" is not just a meme — it's a celebration of grassroots car culture, where ideas are limitless and fun is more important than spec sheets. W - Network accessline 7
This is a list of writing and formatting conventions typical of [AI chatbots](https://en.wikipedia.org/wiki/AI_chatbot "AI chatbot") such as [ChatGPT](https://en.wikipedia.org/wiki/ChatGPT "ChatGPT"), with real examples taken from Wikipedia - Network accessline 7
This is a list of writing and formatting conventions typical of [AI chatbots](https://en.wikipedia.org/wiki/AI_chatbot "AI chatbot") such as [ChatGPT](https://en.wikipedia.org/wiki/ChatGPT "ChatGPT"), with real examples taken from Wikipedia - Network accessline 9
This list is *not* a ban on certain words, phrases, or punctuation. Not all text featuring these indicators is AI-generated, as the [large language models](https://en.wikipedia.org/wiki/Large_language_model "Large language model") that powe - Network accessline 9
This list is *not* a ban on certain words, phrases, or punctuation. Not all text featuring these indicators is AI-generated, as the [large language models](https://en.wikipedia.org/wiki/Large_language_model "Large language model") that powe - Network accessline 11
The patterns here are also only potential *signs* of a problem, not *the problem itself*. While many of these issues are immediately obvious and easy to fix—e.g., excessive boldface, poor use of language and punctuation, broken markup, cita - Network accessline 11
The patterns here are also only potential *signs* of a problem, not *the problem itself*. While many of these issues are immediately obvious and easy to fix—e.g., excessive boldface, poor use of language and punctuation, broken markup, cita - Network accessline 13
The [speedy deletion policy](https://en.wikipedia.org/wiki/Wikipedia:Speedy_deletion "Wikipedia:Speedy deletion") criterion [G15](https://en.wikipedia.org/wiki/Wikipedia:G15 "Wikipedia:G15") (LLM-generated pages without human review) is lim - Network accessline 13
The [speedy deletion policy](https://en.wikipedia.org/wiki/Wikipedia:Speedy_deletion "Wikipedia:Speedy deletion") criterion [G15](https://en.wikipedia.org/wiki/Wikipedia:G15 "Wikipedia:G15") (LLM-generated pages without human review) is lim - Network accessline 15
Do not solely rely on [artificial intelligence content detection](https://en.wikipedia.org/wiki/Artificial_intelligence_content_detection "Artificial intelligence content detection") tools (such as [GPTZero](https://en.wikipedia.org/wiki/GP - Network accessline 15
Do not solely rely on [artificial intelligence content detection](https://en.wikipedia.org/wiki/Artificial_intelligence_content_detection "Artificial intelligence content detection") tools (such as [GPTZero](https://en.wikipedia.org/wiki/GP - Network accessline 21
LLMs (and [artificial neural networks](https://en.wikipedia.org/wiki/Artificial_neural_network "Artificial neural network") in general) use statistical algorithms to guess (infer) what should come next based on a large corpus of training ma - Network accessline 21
LLMs (and [artificial neural networks](https://en.wikipedia.org/wiki/Artificial_neural_network "Artificial neural network") in general) use statistical algorithms to guess (infer) what should come next based on a large corpus of training ma - Network accessline 33
> The Statistical Institute of Catalonia was officially established in 1989, marking a pivotal moment in the evolution of regional statistics in Spain. [...] > > The founding of Idescat represented a significant shift toward regional statis - Network accessline 33
> The Statistical Institute of Catalonia was officially established in 1989, marking a pivotal moment in the evolution of regional statistics in Spain. [...] > > The founding of Idescat represented a significant shift toward regional statis - Network accessline 35
> The founding of Idescat represented a significant shift toward regional statistical independence, enabling [Catalonia](https://en.wikipedia.org/wiki/Catalonia "Catalonia") to develop a statistical system tailored to its unique socio-econo - Network accessline 35
> The founding of Idescat represented a significant shift toward regional statistical independence, enabling [Catalonia](https://en.wikipedia.org/wiki/Catalonia "Catalonia") to develop a statistical system tailored to its unique socio-econo - Network accessline 43
> During the [Spanish colonial period](https://en.wikipedia.org/wiki/Spanish_Colonial_Period_(Philippines) "Spanish Colonial Period (Philippines)"), the name *Bakunutan* was hispanized to *Bacnotan*, a modification reflected in official doc - Network accessline 43
> During the [Spanish colonial period](https://en.wikipedia.org/wiki/Spanish_Colonial_Period_(Philippines) "Spanish Colonial Period (Philippines)"), the name *Bakunutan* was hispanized to *Bacnotan*, a modification reflected in official doc - Network accessline 61
Human-written press releases have of course also cited news clippings for decades, but LLMs specifically asked to write a Wikipedia article often echo the exact wording of [Wikipedia's guidelines](https://en.wikipedia.org/wiki/Wikipedia:N " - Network accessline 61
Human-written press releases have of course also cited news clippings for decades, but LLMs specifically asked to write a Wikipedia article often echo the exact wording of [Wikipedia's guidelines](https://en.wikipedia.org/wiki/Wikipedia:N " - Network accessline 75
> The restaurant has also been mentioned in [ABC News](https://en.wikipedia.org/wiki/ABC_News_(Australia) "ABC News (Australia)") coverage relating to incidents in the surrounding precinct, underscoring its role as a well-known late-night v - Network accessline 75
> The restaurant has also been mentioned in [ABC News](https://en.wikipedia.org/wiki/ABC_News_(Australia) "ABC News (Australia)") coverage relating to incidents in the surrounding precinct, underscoring its role as a well-known late-night v - Network accessline 77
> In the United States, university-based incubators and accelerators have expanded alongside these centers; an official Library of Congress review found that 31.5% of SBA [[Small Business Administration](https://en.wikipedia.org/wiki/Small_ - Network accessline 77
> In the United States, university-based incubators and accelerators have expanded alongside these centers; an official Library of Congress review found that 31.5% of SBA [[Small Business Administration](https://en.wikipedia.org/wiki/Small_ - Network accessline 87
AI chatbots tend to insert superficial analysis of information, often in relation to its significance, recognition, or impact.[^7] This is often done by attaching a [present participle](https://en.wikipedia.org/wiki/Participle#Forms "Partic - Network accessline 87
AI chatbots tend to insert superficial analysis of information, often in relation to its significance, recognition, or impact.[^7] This is often done by attaching a [present participle](https://en.wikipedia.org/wiki/Participle#Forms "Partic - Network accessline 89
While [many of these words are strong AI tells on their own](https://en.wikipedia.org/wiki/Wikipedia:AIWORDS "Wikipedia:AIWORDS"),[^6][^8] an even stronger tell is when the subjects of these verbs are facts, events, or other inanimate thing - Network accessline 89
While [many of these words are strong AI tells on their own](https://en.wikipedia.org/wiki/Wikipedia:AIWORDS "Wikipedia:AIWORDS"),[^6][^8] an even stronger tell is when the subjects of these verbs are facts, events, or other inanimate thing - Network accessline 91
Such comments are usually [synthesis](https://en.wikipedia.org/wiki/Wikipedia:SYNTH "Wikipedia:SYNTH") and/or unattributed opinions in wikivoice. Newer chatbots with [retrieval-augmented generation](https://en.wikipedia.org/wiki/Retrieval-a - Network accessline 91
Such comments are usually [synthesis](https://en.wikipedia.org/wiki/Wikipedia:SYNTH "Wikipedia:SYNTH") and/or unattributed opinions in wikivoice. Newer chatbots with [retrieval-augmented generation](https://en.wikipedia.org/wiki/Retrieval-a - Network accessline 103
> It holds a pivotal place in the [East Central Railway Zone](https://en.wikipedia.org/wiki/East_Central_Railway_Zone "East Central Railway Zone") of [Indian Railways](https://en.wikipedia.org/wiki/Indian_Railways "Indian Railways"), servin - Network accessline 103
> It holds a pivotal place in the [East Central Railway Zone](https://en.wikipedia.org/wiki/East_Central_Railway_Zone "East Central Railway Zone") of [Indian Railways](https://en.wikipedia.org/wiki/Indian_Railways "Indian Railways"), servin - Network accessline 119
> In general, AEO focuses on improving data consistency and machine readability so that information can be accurately understood by emerging "answer engines." Commonly discussed practices include using structured data formats such as [JSON- - Network accessline 119
> In general, AEO focuses on improving data consistency and machine readability so that information can be accurately understood by emerging "answer engines." Commonly discussed practices include using structured data formats such as [JSON- - Possible obfuscationline 165
> Operating in the current Afghan media environment presents numerous challenges, including[...] Despite these challenges, Amu TV has managed to continue to provide a vital service to the Afghan population<U+200B><U+200B>. - Possible obfuscationline 165
> Operating in the current Afghan media environment presents numerous challenges, including[...] Despite these challenges, Amu TV has managed to continue to provide a vital service to the Afghan population<U+200B><U+200B>. - Network accessline 171
In AI-generated articles about topics with a title that is not a [proper name](https://en.wikipedia.org/wiki/Proper_name "Proper name"), such as a [list](https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style/Lists "Wikipedia:Manual of Sty - Network accessline 171
In AI-generated articles about topics with a title that is not a [proper name](https://en.wikipedia.org/wiki/Proper_name "Proper name"), such as a [list](https://en.wikipedia.org/wiki/Wikipedia:Manual_of_Style/Lists "Wikipedia:Manual of Sty - Network accessline 189
Many studies have demonstrated that LLMs overuse certain words – especially compared to pre-2022 text, which is almost certain to be human-written.[^6] These "AI vocabulary" words are also ubiquitous in AI-generated encyclopedias, such as [ - Network accessline 189
Many studies have demonstrated that LLMs overuse certain words – especially compared to pre-2022 text, which is almost certain to be human-written.[^6] These "AI vocabulary" words are also ubiquitous in AI-generated encyclopedias, such as [ - Network accessline 193
Please keep context in mind. For example, while the word "underscore" is overused in AI text, it can also refer to a literal underline mark, or to [incidental music](https://en.wikipedia.org/wiki/Incidental_music "Incidental music"). - Network accessline 193
Please keep context in mind. For example, while the word "underscore" is overused in AI text, it can also refer to a literal underline mark, or to [incidental music](https://en.wikipedia.org/wiki/Incidental_music "Incidental music"). - Network accessline 197
> Somali cuisine is an intricate and diverse fusion of a multitude of culinary influences, drawing from the rich tapestry of [Arab](https://en.wikipedia.org/wiki/Arab_cuisine "Arab cuisine"), [Indian](https://en.wikipedia.org/wiki/Indian_cu - Network accessline 197
> Somali cuisine is an intricate and diverse fusion of a multitude of culinary influences, drawing from the rich tapestry of [Arab](https://en.wikipedia.org/wiki/Arab_cuisine "Arab cuisine"), [Indian](https://en.wikipedia.org/wiki/Indian_cu - Network accessline 198
> > Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Mil - Network accessline 198
> > Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Mil - Network accessline 199
> Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Milk - Network accessline 199
> Additionally, a distinctive feature of Somali culinary tradition is the incorporation of [camel](https://en.wikipedia.org/wiki/Camel "Camel") [meat](https://en.wikipedia.org/wiki/Meat "Meat") and [milk](https://en.wikipedia.org/wiki/Milk - Network accessline 200
> > An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [ - Network accessline 200
> > An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [ - Network accessline 201
> An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [la - Network accessline 201
> An enduring testament to the influence of [Italian colonial rule in Somalia](https://en.wikipedia.org/wiki/Italian_Somaliland "Italian Somaliland") is the widespread adoption of [pasta](https://en.wikipedia.org/wiki/Pasta "Pasta") and [la - Network accessline 249
LLMs overuse the '[rule of three](https://en.wikipedia.org/wiki/Rule_of_three_(writing) "Rule of three (writing)")'. This can take different forms, from "adjective, adjective, adjective" to "short phrase, short phrase, and short phrase".[^1 - Network accessline 249
LLMs overuse the '[rule of three](https://en.wikipedia.org/wiki/Rule_of_three_(writing) "Rule of three (writing)")'. This can take different forms, from "adjective, adjective, adjective" to "short phrase, short phrase, and short phrase".[^1 - Network accessline 259
AI chatbots tend to attribute opinions or claims to some vague authority—a practice called [weasel wording](https://en.wikipedia.org/wiki/Weasel_wording "Weasel wording")—while citing only one or two sources that may or may not actually exp - Network accessline 259
AI chatbots tend to attribute opinions or claims to some vague authority—a practice called [weasel wording](https://en.wikipedia.org/wiki/Weasel_wording "Weasel wording")—while citing only one or two sources that may or may not actually exp - Network accessline 265
— From [Draft:Nick Ford (musician)](https://en.wikipedia.org/wiki/Draft:Nick_Ford_(musician) "Draft:Nick Ford (musician)"). Here, the weasel wording implies the opinion comes from an independent source, but it actually cites Nick Ford's own - Network accessline 265
— From [Draft:Nick Ford (musician)](https://en.wikipedia.org/wiki/Draft:Nick_Ford_(musician) "Draft:Nick Ford (musician)"). Here, the weasel wording implies the opinion comes from an independent source, but it actually cites Nick Ford's own - Network accessline 269
> The Kwararafa (Kororofa) confederacy is described in scholarship as a shifting [Benue valley](https://en.wikipedia.org/wiki/Benue_valley "Benue valley") coalition led by [Jukun](https://en.wikipedia.org/wiki/Jukun "Jukun") groups and inco - Network accessline 269
> The Kwararafa (Kororofa) confederacy is described in scholarship as a shifting [Benue valley](https://en.wikipedia.org/wiki/Benue_valley "Benue valley") coalition led by [Jukun](https://en.wikipedia.org/wiki/Jukun "Jukun") groups and inco - Network accessline 287
When *from ... to ...* constructions are not used figuratively, they are used to indicate the lower and upper bounds of a scale. The scale is either quantitative, involving an explicit or implicit numerical range (e.g. from 1990 to 2000, fr - Network accessline 287
When *from ... to ...* constructions are not used figuratively, they are used to indicate the lower and upper bounds of a scale. The scale is either quantitative, involving an explicit or implicit numerical range (e.g. from 1990 to 2000, fr - Network accessline 303
> Global Context: Critical Mineral Demand > > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 303
> Global Context: Critical Mineral Demand > > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 304
> > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] > - Network accessline 304
> > According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] > - Network accessline 305
> According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 305
> According to a 2023 report by [Goldman Sachs](https://en.wikipedia.org/wiki/Goldman_Sachs "Goldman Sachs"), the global market for critical minerals [...] - Network accessline 307
> Strategic Negotiations and Global Partnerships > > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 307
> Strategic Negotiations and Global Partnerships > > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 308
> > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] > - Network accessline 308
> > In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] > - Network accessline 309
> In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 309
> In 2014, Katalayi was appointed senior executive adviser to the chairman of the board of [Gécamines](https://en.wikipedia.org/wiki/G%C3%A9camines "Gécamines") [...] - Network accessline 311
> High-Stakes Deals: Glencore, China, and Russia > > There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 311
> High-Stakes Deals: Glencore, China, and Russia > > There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 313
> There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 313
> There was also interest from [Moscow](https://en.wikipedia.org/wiki/Moscow "Moscow") for strategic Congolese assets. [...] - Network accessline 321
AI chatbots may display various phrases in [boldface](https://en.wikipedia.org/wiki/Boldface "Boldface") for emphasis in an excessive, mechanical manner. One of their tendencies, inherited from readmes, fan wikis, how-tos, sales pitches, sl - Network accessline 321
AI chatbots may display various phrases in [boldface](https://en.wikipedia.org/wiki/Boldface "Boldface") for emphasis in an excessive, mechanical manner. One of their tendencies, inherited from readmes, fan wikis, how-tos, sales pitches, sl - Network accessline 335
Instead of [proper wikitext](https://en.wikipedia.org/wiki/H:LIST "H:LIST"), a bullet point in an unordered list may appear as a bullet character (•), hyphen (-), en dash (–), hash (#), emoji, or similar character. Ordered lists (i.e. numbe - Network accessline 335
Instead of [proper wikitext](https://en.wikipedia.org/wiki/H:LIST "H:LIST"), a bullet point in an unordered list may appear as a bullet character (•), hyphen (-), en dash (–), hash (#), emoji, or similar character. Ordered lists (i.e. numbe - Network accessline 351
AI chatbots love using [emojis](https://en.wikipedia.org/wiki/Emoji "Emoji").[^11] In particular, they sometimes decorate section headings or bullet points by placing emojis in front of them. This is most noticeable in talkpage comments. - Network accessline 351
AI chatbots love using [emojis](https://en.wikipedia.org/wiki/Emoji "Emoji").[^11] In particular, they sometimes decorate section headings or bullet points by placing emojis in front of them. This is most noticeable in talkpage comments. - Network accessline 413
While human editors and writers often like [em dashes](https://en.wikipedia.org/wiki/Em_dash "Em dash") (—), AI *loves* them.[^11] LLM output uses them more often than nonprofessional human-written text of the same genre, and uses them in p - Network accessline 413
While human editors and writers often like [em dashes](https://en.wikipedia.org/wiki/Em_dash "Em dash") (—), AI *loves* them.[^11] LLM output uses them more often than nonprofessional human-written text of the same genre, and uses them in p - Network accessline 439
AI chatbots typically use curly quotation marks ("..." or '...') instead of straight quotation marks ("..." or '...'). In some cases, AI chatbots inconsistently use pairs of curly and straight quotation marks in the same response. They also - Network accessline 439
AI chatbots typically use curly quotation marks ("..." or '...') instead of straight quotation marks ("..." or '...'). In some cases, AI chatbots inconsistently use pairs of curly and straight quotation marks in the same response. They also - Network accessline 441
Curly quotes alone do not prove LLM use. [Microsoft Word](https://en.wikipedia.org/wiki/Microsoft_Word "Microsoft Word") as well as [macOS](https://en.wikipedia.org/wiki/MacOS "MacOS") and [iOS](https://en.wikipedia.org/wiki/IOS "IOS") devi - Network accessline 441
Curly quotes alone do not prove LLM use. [Microsoft Word](https://en.wikipedia.org/wiki/Microsoft_Word "Microsoft Word") as well as [macOS](https://en.wikipedia.org/wiki/MacOS "MacOS") and [iOS](https://en.wikipedia.org/wiki/IOS "IOS") devi - Network accessline 443
> McClelland, Mac (2017-09-27). ["When 'Not Guilty' Is a Life Sentence"](https://www.nytimes.com/2017/09/27/magazine/when-not-guilty-is-a-life-sentence.html). *The New York Times*. Retrieved 2025-08-03. - Network accessline 443
> McClelland, Mac (2017-09-27). ["When 'Not Guilty' Is a Life Sentence"](https://www.nytimes.com/2017/09/27/magazine/when-not-guilty-is-a-life-sentence.html). *The New York Times*. Retrieved 2025-08-03. - Network accessline 449
User messages and [unblock requests](https://en.wikipedia.org/wiki/Wikipedia:Identifying_LLM_unblock_requests "Wikipedia:Identifying LLM unblock requests") generated by AI chatbots sometimes begin with text that is intended to be pasted int - Network accessline 449
User messages and [unblock requests](https://en.wikipedia.org/wiki/Wikipedia:Identifying_LLM_unblock_requests "Wikipedia:Identifying LLM unblock requests") generated by AI chatbots sometimes begin with text that is intended to be pasted int - Network accessline 465
Editors sometimes paste text from an AI chatbot that was meant as correspondence, prewriting or advice, rather than article content. This may appear in article text or within comments (`<!-- -->`). Chatbots prompted to produce a Wikipedia a - Network accessline 465
Editors sometimes paste text from an AI chatbot that was meant as correspondence, prewriting or advice, rather than article content. This may appear in article text or within comments (`<!-- -->`). Chatbots prompted to produce a Wikipedia a - Network accessline 485
If an LLM has a fixed [knowledge cutoff](https://en.wikipedia.org/wiki/Knowledge_cutoff "Knowledge cutoff") (usually the model's last training update), it is unable to provide any information on events or developments past that time, and it - Network accessline 485
If an LLM has a fixed [knowledge cutoff](https://en.wikipedia.org/wiki/Knowledge_cutoff "Knowledge cutoff") (usually the model's last training update), it is unable to provide any information on events or developments past that time, and it - Network accessline 487
If an LLM with retrieval-augmented generation fails to find sources on a given topic, or if information is not included in sources a user provides, it often outputs a statement to that effect, which is similar to a knowledge-cutoff disclaim - Network accessline 487
If an LLM with retrieval-augmented generation fails to find sources on a given topic, or if information is not included in sources a user provides, it often outputs a statement to that effect, which is similar to a knowledge-cutoff disclaim - Network accessline 509
Prompt refusals are obviously unacceptable for Wikipedia articles, so if a user includes one anyway, it may indicate that they did not review the text and/or may not be proficient in English. Remember to [assume good faith](https://en.wikip - Network accessline 509
Prompt refusals are obviously unacceptable for Wikipedia articles, so if a user includes one anyway, it may indicate that they did not review the text and/or may not be proficient in English. Remember to [assume good faith](https://en.wikip - Network accessline 517
AI chatbots may generate responses with fill-in-the-blank [phrasal templates](https://en.wikipedia.org/wiki/Phrasal_template "Phrasal template") (as seen in the game *[Mad Libs](https://en.wikipedia.org/wiki/Mad_Libs "Mad Libs")*) for the L - Network accessline 517
AI chatbots may generate responses with fill-in-the-blank [phrasal templates](https://en.wikipedia.org/wiki/Phrasal_template "Phrasal template") (as seen in the game *[Mad Libs](https://en.wikipedia.org/wiki/Mad_Libs "Mad Libs")*) for the L - Network accessline 571
AI chatbots are not proficient in [wikitext](https://en.wikipedia.org/wiki/H:WT "H:WT"), the [markup language](https://en.wikipedia.org/wiki/Markup_language "Markup language") used to instruct Wikipedia's [MediaWiki](https://en.wikipedia.or - Network accessline 571
AI chatbots are not proficient in [wikitext](https://en.wikipedia.org/wiki/H:WT "H:WT"), the [markup language](https://en.wikipedia.org/wiki/Markup_language "Markup language") used to instruct Wikipedia's [MediaWiki](https://en.wikipedia.or - Network accessline 573
When asked about its "formatting guidelines", a chatbot willing to reveal some of its system-level instructions typically generates some variation of the following (this is [Microsoft Copilot](https://en.wikipedia.org/wiki/Microsoft_Copilot - Network accessline 573
When asked about its "formatting guidelines", a chatbot willing to reveal some of its system-level instructions typically generates some variation of the following (this is [Microsoft Copilot](https://en.wikipedia.org/wiki/Microsoft_Copilot - Network accessline 594
The presence of faulty wikitext syntax mixed with Markdown syntax is a strong indicator that content is LLM-generated, especially if in the form of a fenced Markdown code block. However, Markdown *alone* is not such a strong indicator. Soft - Network accessline 594
The presence of faulty wikitext syntax mixed with Markdown syntax is a strong indicator that content is LLM-generated, especially if in the form of a fenced Markdown code block. However, Markdown *alone* is not such a strong indicator. Soft - Network accessline 600
> - The Wikipedia entry does not explicitly mention the "Cyberhero League" being recognized as a winner of the World Future Society's BetaLaunch Technology competition, as detailed in the interview with THE FUTURIST ([[1]](https://conscious - Network accessline 600
> - The Wikipedia entry does not explicitly mention the "Cyberhero League" being recognized as a winner of the World Future Society's BetaLaunch Technology competition, as detailed in the interview with THE FUTURIST ([[1]](https://conscious - Network accessline 604
> 1. 1. Geography > > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 604
> 1. 1. Geography > > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 605
> > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] > - Network accessline 605
> > Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] > - Network accessline 606
> Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 606
> Villers-Chief is situated in the [Jura Mountains](https://en.wikipedia.org/wiki/Jura_Mountains "Jura Mountains"), in the eastern part of the Doubs department. [...] - Network accessline 612
> 1. 1. Administration > > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Ponta - Network accessline 612
> 1. 1. Administration > > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Ponta - Network accessline 613
> > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement o - Network accessline 613
> > Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement o - Network accessline 614
> Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement of - Network accessline 614
> Villers-Chief is part of the [Canton of Valdahon](https://en.wikipedia.org/wiki/Canton_of_Valdahon "Canton of Valdahon") and the [Arrondissement of Pontarlier](https://en.wikipedia.org/wiki/Arrondissement_of_Pontarlier "Arrondissement of - Network accessline 661
> 1. **Group launch & meetings** > > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p= - Network accessline 661
> 1. **Group launch & meetings** > > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p= - Network accessline 662
> > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). > - Network accessline 662
> > *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). > - Network accessline 663
> *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). - Network accessline 663
> *Independent Together* launched a "Zero Rates Increase Roadshow" on 15 June, with events in Karori, Hataitai, Tawa, and Newtown [oai_citation:0‡wellington.scoop.co.nz](https://wellington.scoop.co.nz/?p=171473&utm_source=chatgpt.com). - Network accessline 665
> 2. **Zero-rates pledge and platform** > > The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/I - Network accessline 665
> 2. **Zero-rates pledge and platform** > > The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/I - Network accessline 667
> The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/Independent_Together?utm_source=chatgpt.com - Network accessline 667
> The group pledges no rates increases for three years, then only match inflation—responding to Wellington's 16.9% hike for 2024/25 [oai_citation:1‡en.wikipedia.org](https://en.wikipedia.org/wiki/Independent_Together?utm_source=chatgpt.com - Network accessline 683
> ^[Evdokimova was born on 6 October 1939 in Osnova, Kharkov Oblast, Ukrainian SSR (now Kharkiv, Ukraine).]({"attribution":{"attributableIndex":"1009-1"}}) ^[She graduated from the Gerasimov Institute of Cinematography (VGIK) in 1963, where - Network accessline 683
> ^[Evdokimova was born on 6 October 1939 in Osnova, Kharkov Oblast, Ukrainian SSR (now Kharkiv, Ukraine).]({"attribution":{"attributableIndex":"1009-1"}}) ^[She graduated from the Gerasimov Institute of Cinematography (VGIK) in 1963, where - Network accessline 685
> Patrick Denice & Jake Rosenfeld, [Les syndicats et la rémunération non syndiquée aux États-Unis, 1977–2015](https://sociologicalscience.com/articles-v5-23-541/), ''Sociological Science'' (2018).]({"attribution":{"attributableIndex":"3795- - Network accessline 685
> Patrick Denice & Jake Rosenfeld, [Les syndicats et la rémunération non syndiquée aux États-Unis, 1977–2015](https://sociologicalscience.com/articles-v5-23-541/), ''Sociological Science'' (2018).]({"attribution":{"attributableIndex":"3795- - Network accessline 717
If a new article or draft has multiple citations with external links, and several of them are broken (e.g., returning [404 errors](https://en.wikipedia.org/wiki/404_error "404 error")), this is a strong sign of an AI-generated page, particu - Network accessline 717
If a new article or draft has multiple citations with external links, and several of them are broken (e.g., returning [404 errors](https://en.wikipedia.org/wiki/404_error "404 error")), this is a strong sign of an AI-generated page, particu - Network accessline 721
A [checksum](https://en.wikipedia.org/wiki/Checksum "Checksum") can be used to verify [ISBNs](https://en.wikipedia.org/wiki/ISBN "ISBN"). An invalid checksum is a very likely sign that an ISBN is incorrect, and citation templates display a - Network accessline 721
A [checksum](https://en.wikipedia.org/wiki/Checksum "Checksum") can be used to verify [ISBNs](https://en.wikipedia.org/wiki/ISBN "ISBN"). An invalid checksum is a very likely sign that an ISBN is incorrect, and citation templates display a - Network accessline 735
The book references appear valid – a book on electric circuits would likely have information about Ohm's law – but without the page number, that citation is not useful for verifying the claims in the prose. Worse, both *Proceedings of the I - Network accessline 735
The book references appear valid – a book on electric circuits would likely have information about Ohm's law – but without the page number, that citation is not useful for verifying the claims in the prose. Worse, both *Proceedings of the I - Network accessline 745
In this case, the *Smith, R. J.* source – being the "third source" the tool presumably generated the link 'https://pubmed.ncbi.nlm.nih.gov/3' (which has a PMID reference of 3) – is also completely irrelevant to the body of the article. The - Network accessline 745
In this case, the *Smith, R. J.* source – being the "third source" the tool presumably generated the link 'https://pubmed.ncbi.nlm.nih.gov/3' (which has a PMID reference of 3) – is also completely irrelevant to the body of the article. The - Network accessline 749
> For over thirty years, computers have been utilized in the rehabilitation of individuals with brain injuries. Initially, researchers delved into the potential of developing a "prosthetic memory."<ref>Fowler R, Hart J, Sheehan M. A prosthe - Network accessline 749
> For over thirty years, computers have been utilized in the rehabilitation of individuals with brain injuries. Initially, researchers delved into the potential of developing a "prosthetic memory."<ref>Fowler R, Hart J, Sheehan M. A prosthe - Network accessline 757
> **Footnotes** > > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 757
> **Footnotes** > > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 758
> > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 > 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 758
> > 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 > 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 759
> 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 759
> 1. KLAS Research. (2024). *Top Performing RCM Vendors 2024*. https://klasresearch.com ↩ ↩2 - Network accessline 760
> 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 760
> 2. PR Newswire. (2025, February 18). *CureMD AI Scribe Launch Announcement*. https://www.prnewswire.com/news-releases/curemd-ai-scribe ↩ - Network accessline 764
ChatGPT may add the [UTM parameter](https://en.wikipedia.org/wiki/UTM_parameter "UTM parameter") `utm_source=openai` or, in edits prior to August 2025, `utm_source=chatgpt.com` to URLs that it is using as sources. Other LLMs, such as Gemini - Network accessline 764
ChatGPT may add the [UTM parameter](https://en.wikipedia.org/wiki/UTM_parameter "UTM parameter") `utm_source=openai` or, in edits prior to August 2025, `utm_source=chatgpt.com` to URLs that it is using as sources. Other LLMs, such as Gemini - Network accessline 770
> Following their marriage, Burgess and Graham settled in Cheshire, England, where Burgess serves as the head coach for the Warrington Wolves rugby league team. [https://www.theguardian.com/sport/2025/feb/11/sam-burgess-interview-warrington - Network accessline 770
> Following their marriage, Burgess and Graham settled in Cheshire, England, where Burgess serves as the head coach for the Warrington Wolves rugby league team. [https://www.theguardian.com/sport/2025/feb/11/sam-burgess-interview-warrington - Network accessline 772
> Vertex AI documentation and blog posts describe watermarking, verification workflow, and configurable safety filters (for example, person‑generation controls and safety thresholds). ([cloud.google.com](https://cloud.google.com/vertex-ai/g - Network accessline 772
> Vertex AI documentation and blog posts describe watermarking, verification workflow, and configurable safety filters (for example, person‑generation controls and safety thresholds). ([cloud.google.com](https://cloud.google.com/vertex-ai/g - Network accessline 782
- [Special:PermanentLink/1287201002#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1287201002#References "Special:PermanentLink/1287201002") - Network accessline 782
- [Special:PermanentLink/1287201002#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1287201002#References "Special:PermanentLink/1287201002") - Network accessline 783
- [Special:PermanentLink/1292432848#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1292432848#References "Special:PermanentLink/1292432848") - Network accessline 783
- [Special:PermanentLink/1292432848#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1292432848#References "Special:PermanentLink/1292432848") - Network accessline 784
- [Special:PermanentLink/1291491974#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291491974#References "Special:PermanentLink/1291491974") - Network accessline 784
- [Special:PermanentLink/1291491974#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291491974#References "Special:PermanentLink/1291491974") - Network accessline 785
- [Special:PermanentLink/1291561040#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291561040#References "Special:PermanentLink/1291561040") - Network accessline 785
- [Special:PermanentLink/1291561040#References](https://en.wikipedia.org/wiki/Special:PermanentLink/1291561040#References "Special:PermanentLink/1291561040") - Network accessline 807
AI-generated [edit summaries](https://en.wikipedia.org/wiki/Help:Edit_summary "Help:Edit summary") are often unusually long, written as formal, first-person paragraphs without abbreviations, and/or conspicuously itemize Wikipedia's conventi - Network accessline 807
AI-generated [edit summaries](https://en.wikipedia.org/wiki/Help:Edit_summary "Help:Edit summary") are often unusually long, written as formal, first-person paragraphs without abbreviations, and/or conspicuously itemize Wikipedia's conventi - Network accessline 845
False accusations of AI use can [drive away new editors](https://en.wikipedia.org/wiki/Wikipedia:BITE "Wikipedia:BITE") and foster an atmosphere of suspicion. Before claiming AI was used, consider if [Dunning–Kruger effect](https://en.wikip - Network accessline 845
False accusations of AI use can [drive away new editors](https://en.wikipedia.org/wiki/Wikipedia:BITE "Wikipedia:BITE") and foster an atmosphere of suspicion. Before claiming AI was used, consider if [Dunning–Kruger effect](https://en.wikip - Network accessline 875
[^1]: Russell, Jenna; Karpinska, Marzena; Iyyer, Mohit (2025). [*People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text*](https://aclanthology.org/2025.acl-long.267/). Proceedings of the 6 - Network accessline 875
[^1]: Russell, Jenna; Karpinska, Marzena; Iyyer, Mohit (2025). [*People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text*](https://aclanthology.org/2025.acl-long.267/). Proceedings of the 6 - Network accessline 877
[^2]: Dugan, Liam; Hwang, Alyssa; Trhlik, Filip; Zhu, Andrew; Ludan, Josh Magnus; Xu, Hainiu; Ippolito, Daphne; Callison-Burch, Chris (2024). [*RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors*](https://acl - Network accessline 877
[^2]: Dugan, Liam; Hwang, Alyssa; Trhlik, Filip; Zhu, Andrew; Ludan, Josh Magnus; Xu, Hainiu; Ippolito, Daphne; Callison-Burch, Chris (2024). [*RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors*](https://acl - Network accessline 879
[^3]: ["People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text"](https://arxiv.org/html/2501.15654v2). *arxiv.org*. Retrieved 2025-11-28. - Network accessline 879
[^3]: ["People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text"](https://arxiv.org/html/2501.15654v2). *arxiv.org*. Retrieved 2025-11-28. - Network accessline 883
[^5]: ["10 Ways AI Is Ruining Your Students' Writing"](https://www.chronicle.com/article/10-ways-ai-is-ruining-your-students-writing). *Chronicle of Higher Education*. September 16, 2025. Archived from the original on October 1, 2025. Retri - Network accessline 883
[^5]: ["10 Ways AI Is Ruining Your Students' Writing"](https://www.chronicle.com/article/10-ways-ai-is-ruining-your-students-writing). *Chronicle of Higher Education*. September 16, 2025. Archived from the original on October 1, 2025. Retri - Network accessline 885
[^6]: Juzek, Tom S.; Ward, Zina B. (2025). [*Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models*](https://aclanthology.org/2025.coling-main.426.pdf) (PDF). Findings of the Associat - Network accessline 885
[^6]: Juzek, Tom S.; Ward, Zina B. (2025). [*Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models*](https://aclanthology.org/2025.coling-main.426.pdf) (PDF). Findings of the Associat - Network accessline 887
[^7]: Reinhart, Alex; Markey, Ben; Laudenbach, Michael; Pantusen, Kachatad; Yurko, Ronald; Weinberg, Gordon; Brown, David West. ["Do LLMs write like humans? Variation in grammatical and rhetorical styles"](http://arxiv.org/abs/2410.16107). - Network accessline 887
[^7]: Reinhart, Alex; Markey, Ben; Laudenbach, Michael; Pantusen, Kachatad; Yurko, Ronald; Weinberg, Gordon; Brown, David West. ["Do LLMs write like humans? Variation in grammatical and rhetorical styles"](http://arxiv.org/abs/2410.16107). - Network accessline 889
[^8]: Kobak, Dmitry; González-Márquez, Rita; Horvát, Emőke-Ágnes; Lause, Jan (2 July 2025). ["Delving into LLM-assisted writing in biomedical publications through excess vocabulary"](https://www.science.org/doi/10.1126/sciadv.adt3813). *Sci - Network accessline 889
[^8]: Kobak, Dmitry; González-Márquez, Rita; Horvát, Emőke-Ágnes; Lause, Jan (2 July 2025). ["Delving into LLM-assisted writing in biomedical publications through excess vocabulary"](https://www.science.org/doi/10.1126/sciadv.adt3813). *Sci - Network accessline 891
[^9]: Ju, Da; Blix, Hagen; Williams, Adina (2025). [*Domain Regeneration: How well do LLMs match syntactic properties of text domains?*](https://aclanthology.org/2025.findings-acl.120). Findings of the Association for Computational Linguist - Network accessline 891
[^9]: Ju, Da; Blix, Hagen; Williams, Adina (2025). [*Domain Regeneration: How well do LLMs match syntactic properties of text domains?*](https://aclanthology.org/2025.findings-acl.120). Findings of the Association for Computational Linguist - Network accessline 893
[^10]: Kousha, Kayvan; Thelwall, Mike (2025). [*How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis*](https://arxiv.org/pdf/2509.09596). ISSI 2025 Conference. arXiv:[2509.09596]( - Network accessline 893
[^10]: Kousha, Kayvan; Thelwall, Mike (2025). [*How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis*](https://arxiv.org/pdf/2509.09596). ISSI 2025 Conference. arXiv:[2509.09596]( - Network accessline 895
[^11]: Merrill, Jeremy B.; Chen, Szu Yu; Kumer, Emma (13 November 2025). ["What are the clues that ChatGPT wrote something? We analyzed its style"](https://www.washingtonpost.com/technology/interactive/2025/how-detect-chatgpt-em-dash/). *Th - Network accessline 895
[^11]: Merrill, Jeremy B.; Chen, Szu Yu; Kumer, Emma (13 November 2025). ["What are the clues that ChatGPT wrote something? We analyzed its style"](https://www.washingtonpost.com/technology/interactive/2025/how-detect-chatgpt-em-dash/). *Th - Network accessline 897
[^12]: ["Unproductive Interpretation of Work and Employment as Misinformation?"](https://www.laetusinpraesens.org/docs20s/workeco.php). Archived from the original on 2 September 2025. Retrieved 21 October 2025. - Network accessline 897
[^12]: ["Unproductive Interpretation of Work and Employment as Misinformation?"](https://www.laetusinpraesens.org/docs20s/workeco.php). Archived from the original on 2 September 2025. Retrieved 21 October 2025. - Network accessline 899
[^13]: See [T387903](https://phabricator.wikimedia.org/T387903 "phabricator:T387903"). - Network accessline 899
[^13]: See [T387903](https://phabricator.wikimedia.org/T387903 "phabricator:T387903"). - Network accessline 901
[^14]: Murray, Nathan; Tersigni, Elisa (21 July 2024). ["Can instructors detect AI-generated papers? Postsecondary writing instructor knowledge and perceptions of AI"](https://journals.sfu.ca/jalt/index.php/jalt/article/view/1895). *Journal - Network accessline 901
[^14]: Murray, Nathan; Tersigni, Elisa (21 July 2024). ["Can instructors detect AI-generated papers? Postsecondary writing instructor knowledge and perceptions of AI"](https://journals.sfu.ca/jalt/index.php/jalt/article/view/1895). *Journal
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.
Declared and executed: 1 fact
- Contacts jwt.io, which SKILL.md, the README and the plugin manifest do not mentionsession-handoff/evals/setup_test_env.py:270High confidence
Signal confidence: 499 facts
- Network access in prose of documentationagents/ui-ux-designer.md:8Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:9Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:14Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:15Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:16Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:17Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:68Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:70Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:137Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:138Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:139Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:140Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:279Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:280Low confidence
- Network access in code of documentationagents/ui-ux-designer.md:281Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:445Low confidence
- Network access in prose of documentationagents/ui-ux-designer.md:446Low confidence
- Broad permissions in prose of documentationcommands/codex-plan.md:1Low confidence
- Network access in prose of documentationagent-md-refactor/README.md:5Low confidence
- Network access in prose of documentationc4-architecture/README.md:175Low confidence
- Network access in prose of documentationc4-architecture/README.md:176Low confidence
- Network access in prose of documentationcodex/README.md:5Low confidence
- Dangerous shell operation in code of documentationcodex/README.md:21Low confidence
- Dangerous shell operation in code of documentationcodex/README.md:24Low confidence
- Network access in prose of documentationcommit-work/README.md:156Low confidence
- Network access in prose of documentationcommit-work/README.md:157Low confidence
- Network access in prose of documentationcrafting-effective-readmes/README.md:180Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:3Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:14Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:15Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:53Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:83Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:84Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:85Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:104Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:105Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:111Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:112Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:116Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:119Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:120Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:121Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:167Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:168Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:169Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:186Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:188Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:198Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:199Low confidence
- Network access in prose of documentationcrafting-effective-readmes/references/art-of-readme.md:319Low confidence
and 449 more
Only the first 500 facts are listed.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md dist/plugins/agent-md-refactor/skills/agent-md-refactor/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md dist/plugins/agent-md-refactor/skills/agent-md-refactor/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md dist/plugins/agent-md-refactor/skills/agent-md-refactor/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md dist/plugins/agent-md-refactor/skills/agent-md-refactor/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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It updates every night and links to this page.
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