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charlieviettq/awesome-agent-skill
Curated skill pack for LLM agents in engineer and science workflow (Cursor & Claude ready).
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
plugins/data-analyst-professional/skills/analyze/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/build-dashboard/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/create-viz/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/data-context-extractor/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/data-visualization/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/explore-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/sql-queries/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/statistical-analysis/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/validate-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/data-analyst-professional/skills/write-query/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/account-research/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/analyze/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/architecture/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/audit-support/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/brand-review/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/brief/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/build-dashboard/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/call-prep/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/call-summary/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/campaign-plan/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/close-management/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/code-review/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/competitive-brief/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/competitive-intelligence/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/compliance-check/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/content-creation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/cowork-plugin-customizer/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/create-an-asset/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/create-cowork-plugin/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/create-viz/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/customer-escalation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/customer-research/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/daily-briefing/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/data-context-extractor/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/data-visualization/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/debug/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/deploy-checklist/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/documentation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/draft-content/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/draft-outreach/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/draft-response/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/email-sequence/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/explore-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/financial-statements/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/forecast/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/incident-response/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/instrument-data-to-allotrope/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/journal-entry/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/journal-entry-prep/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/kb-article/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/legal-response/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/legal-risk-assessment/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/meeting-briefing/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/memory-management/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/metrics-review/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/nextflow-development/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/performance-report/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/pipeline-review/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/product-brainstorming/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/reconciliation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/review-contract/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/roadmap-update/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/scientific-problem-selection/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/scvi-tools/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/seo-audit/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/signature-request/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/single-cell-rna-qc/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/sox-testing/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/sprint-planning/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/sql-queries/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/stakeholder-update/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/standup/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/start/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/statistical-analysis/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/synthesize-research/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/system-design/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/task-management/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/tech-debt/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/testing-strategy/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/ticket-triage/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/triage-nda/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/update/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/validate-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/variance-analysis/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/vendor-check/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/write-query/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-all/skills/write-spec/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/instrument-data-to-allotrope/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/nextflow-development/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/scientific-problem-selection/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/scvi-tools/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/single-cell-rna-qc/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-bio-research/skills/start/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-cowork-plugin-management/skills/cowork-plugin-customizer/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-cowork-plugin-management/skills/create-cowork-plugin/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-customer-support/skills/customer-escalation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-customer-support/skills/customer-research/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-customer-support/skills/draft-response/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-customer-support/skills/kb-article/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-customer-support/skills/ticket-triage/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/analyze/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/build-dashboard/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/create-viz/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/data-context-extractor/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/data-visualization/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/explore-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/sql-queries/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/statistical-analysis/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/validate-data/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-data/skills/write-query/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/architecture/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/code-review/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/debug/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/deploy-checklist/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/documentation/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/incident-response/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/standup/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/system-design/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/tech-debt/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-engineering/skills/testing-strategy/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Instructions only
First observation → c567ae426d55
No earlier version was observed for comparison.
plugins/knowledge-work-finance/skills/audit-support/SKILL.md
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Verified commit c567ae426d55fa498e919fc0f5a37c582d5c7a2c
git clone --filter=blob:none --no-checkout https://github.com/charlieviettq/awesome-agent-skill.git .hotskills/charlieviettq-awesome-agent-skill && git -C .hotskills/charlieviettq-awesome-agent-skill checkout --detach c567ae426d55fa498e919fc0f5a37c582d5c7a2c
# Copy each selected skill directory from .hotskills/charlieviettq-awesome-agent-skill into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/charlieviettq/awesome-agent-skill.git .hotskills/charlieviettq-awesome-agent-skill && git -C .hotskills/charlieviettq-awesome-agent-skill checkout --detach c567ae426d55fa498e919fc0f5a37c582d5c7a2c
# Copy each selected skill directory from .hotskills/charlieviettq-awesome-agent-skill into .cursor/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/charlieviettq/awesome-agent-skill.git .hotskills/charlieviettq-awesome-agent-skill && git -C .hotskills/charlieviettq-awesome-agent-skill checkout --detach c567ae426d55fa498e919fc0f5a37c582d5c7a2c
# Copy each selected skill directory from .hotskills/charlieviettq-awesome-agent-skill into .gemini/skills/<skill-name>/Heat
1.7- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- analyze
plugins/data-analyst-professional/skills/analyze - build-dashboard
plugins/data-analyst-professional/skills/build-dashboard - create-viz
plugins/data-analyst-professional/skills/create-viz - data-context-extractor
plugins/data-analyst-professional/skills/data-context-extractor - data-visualization
plugins/data-analyst-professional/skills/data-visualization - explore-data
plugins/data-analyst-professional/skills/explore-data - sql-queries
plugins/data-analyst-professional/skills/sql-queries - statistical-analysis
plugins/data-analyst-professional/skills/statistical-analysis - validate-data
plugins/data-analyst-professional/skills/validate-data - write-query
plugins/data-analyst-professional/skills/write-query - account-research
plugins/knowledge-work-all/skills/account-research - analyze
plugins/knowledge-work-all/skills/analyze - architecture
plugins/knowledge-work-all/skills/architecture - audit-support
plugins/knowledge-work-all/skills/audit-support - brand-review
plugins/knowledge-work-all/skills/brand-review - brief
plugins/knowledge-work-all/skills/brief - build-dashboard
plugins/knowledge-work-all/skills/build-dashboard - call-prep
plugins/knowledge-work-all/skills/call-prep - call-summary
plugins/knowledge-work-all/skills/call-summary - campaign-plan
plugins/knowledge-work-all/skills/campaign-plan - close-management
plugins/knowledge-work-all/skills/close-management - code-review
plugins/knowledge-work-all/skills/code-review - competitive-brief
plugins/knowledge-work-all/skills/competitive-brief - competitive-intelligence
plugins/knowledge-work-all/skills/competitive-intelligence - compliance-check
plugins/knowledge-work-all/skills/compliance-check - content-creation
plugins/knowledge-work-all/skills/content-creation - cowork-plugin-customizer
plugins/knowledge-work-all/skills/cowork-plugin-customizer - create-an-asset
plugins/knowledge-work-all/skills/create-an-asset - create-cowork-plugin
plugins/knowledge-work-all/skills/create-cowork-plugin - create-viz
plugins/knowledge-work-all/skills/create-viz - customer-escalation
plugins/knowledge-work-all/skills/customer-escalation - customer-research
plugins/knowledge-work-all/skills/customer-research - daily-briefing
plugins/knowledge-work-all/skills/daily-briefing - data-context-extractor
plugins/knowledge-work-all/skills/data-context-extractor - data-visualization
plugins/knowledge-work-all/skills/data-visualization - debug
plugins/knowledge-work-all/skills/debug - deploy-checklist
plugins/knowledge-work-all/skills/deploy-checklist - documentation
plugins/knowledge-work-all/skills/documentation - draft-content
plugins/knowledge-work-all/skills/draft-content - draft-outreach
plugins/knowledge-work-all/skills/draft-outreach - draft-response
plugins/knowledge-work-all/skills/draft-response - email-sequence
plugins/knowledge-work-all/skills/email-sequence - explore-data
plugins/knowledge-work-all/skills/explore-data - financial-statements
plugins/knowledge-work-all/skills/financial-statements - forecast
plugins/knowledge-work-all/skills/forecast - incident-response
plugins/knowledge-work-all/skills/incident-response - instrument-data-to-allotrope
plugins/knowledge-work-all/skills/instrument-data-to-allotrope - journal-entry
plugins/knowledge-work-all/skills/journal-entry - journal-entry-prep
plugins/knowledge-work-all/skills/journal-entry-prep - kb-article
plugins/knowledge-work-all/skills/kb-article - legal-response
plugins/knowledge-work-all/skills/legal-response - legal-risk-assessment
plugins/knowledge-work-all/skills/legal-risk-assessment - meeting-briefing
plugins/knowledge-work-all/skills/meeting-briefing - memory-management
plugins/knowledge-work-all/skills/memory-management - metrics-review
plugins/knowledge-work-all/skills/metrics-review - nextflow-development
plugins/knowledge-work-all/skills/nextflow-development - performance-report
plugins/knowledge-work-all/skills/performance-report - pipeline-review
plugins/knowledge-work-all/skills/pipeline-review - product-brainstorming
plugins/knowledge-work-all/skills/product-brainstorming - reconciliation
plugins/knowledge-work-all/skills/reconciliation - review-contract
plugins/knowledge-work-all/skills/review-contract - roadmap-update
plugins/knowledge-work-all/skills/roadmap-update - scientific-problem-selection
plugins/knowledge-work-all/skills/scientific-problem-selection - scvi-tools
plugins/knowledge-work-all/skills/scvi-tools - seo-audit
plugins/knowledge-work-all/skills/seo-audit - signature-request
plugins/knowledge-work-all/skills/signature-request - single-cell-rna-qc
plugins/knowledge-work-all/skills/single-cell-rna-qc - sox-testing
plugins/knowledge-work-all/skills/sox-testing - sprint-planning
plugins/knowledge-work-all/skills/sprint-planning - sql-queries
plugins/knowledge-work-all/skills/sql-queries - stakeholder-update
plugins/knowledge-work-all/skills/stakeholder-update - standup
plugins/knowledge-work-all/skills/standup - start
plugins/knowledge-work-all/skills/start - statistical-analysis
plugins/knowledge-work-all/skills/statistical-analysis - synthesize-research
plugins/knowledge-work-all/skills/synthesize-research - system-design
plugins/knowledge-work-all/skills/system-design - task-management
plugins/knowledge-work-all/skills/task-management - tech-debt
plugins/knowledge-work-all/skills/tech-debt - testing-strategy
plugins/knowledge-work-all/skills/testing-strategy - ticket-triage
plugins/knowledge-work-all/skills/ticket-triage - triage-nda
plugins/knowledge-work-all/skills/triage-nda - update
plugins/knowledge-work-all/skills/update - validate-data
plugins/knowledge-work-all/skills/validate-data - variance-analysis
plugins/knowledge-work-all/skills/variance-analysis - vendor-check
plugins/knowledge-work-all/skills/vendor-check - write-query
plugins/knowledge-work-all/skills/write-query - write-spec
plugins/knowledge-work-all/skills/write-spec - instrument-data-to-allotrope
plugins/knowledge-work-bio-research/skills/instrument-data-to-allotrope - nextflow-development
plugins/knowledge-work-bio-research/skills/nextflow-development - scientific-problem-selection
plugins/knowledge-work-bio-research/skills/scientific-problem-selection - scvi-tools
plugins/knowledge-work-bio-research/skills/scvi-tools - single-cell-rna-qc
plugins/knowledge-work-bio-research/skills/single-cell-rna-qc - start
plugins/knowledge-work-bio-research/skills/start - cowork-plugin-customizer
plugins/knowledge-work-cowork-plugin-management/skills/cowork-plugin-customizer - create-cowork-plugin
plugins/knowledge-work-cowork-plugin-management/skills/create-cowork-plugin - customer-escalation
plugins/knowledge-work-customer-support/skills/customer-escalation - customer-research
plugins/knowledge-work-customer-support/skills/customer-research - draft-response
plugins/knowledge-work-customer-support/skills/draft-response - kb-article
plugins/knowledge-work-customer-support/skills/kb-article - ticket-triage
plugins/knowledge-work-customer-support/skills/ticket-triage - analyze
plugins/knowledge-work-data/skills/analyze - build-dashboard
plugins/knowledge-work-data/skills/build-dashboard - create-viz
plugins/knowledge-work-data/skills/create-viz - data-context-extractor
plugins/knowledge-work-data/skills/data-context-extractor - data-visualization
plugins/knowledge-work-data/skills/data-visualization - explore-data
plugins/knowledge-work-data/skills/explore-data - sql-queries
plugins/knowledge-work-data/skills/sql-queries - statistical-analysis
plugins/knowledge-work-data/skills/statistical-analysis - validate-data
plugins/knowledge-work-data/skills/validate-data - write-query
plugins/knowledge-work-data/skills/write-query - architecture
plugins/knowledge-work-engineering/skills/architecture - code-review
plugins/knowledge-work-engineering/skills/code-review - debug
plugins/knowledge-work-engineering/skills/debug - deploy-checklist
plugins/knowledge-work-engineering/skills/deploy-checklist - documentation
plugins/knowledge-work-engineering/skills/documentation - incident-response
plugins/knowledge-work-engineering/skills/incident-response - standup
plugins/knowledge-work-engineering/skills/standup - system-design
plugins/knowledge-work-engineering/skills/system-design - tech-debt
plugins/knowledge-work-engineering/skills/tech-debt - testing-strategy
plugins/knowledge-work-engineering/skills/testing-strategy - audit-support
plugins/knowledge-work-finance/skills/audit-support - close-management
plugins/knowledge-work-finance/skills/close-management - financial-statements
plugins/knowledge-work-finance/skills/financial-statements - journal-entry
plugins/knowledge-work-finance/skills/journal-entry - journal-entry-prep
plugins/knowledge-work-finance/skills/journal-entry-prep - reconciliation
plugins/knowledge-work-finance/skills/reconciliation - sox-testing
plugins/knowledge-work-finance/skills/sox-testing - variance-analysis
plugins/knowledge-work-finance/skills/variance-analysis - brief
plugins/knowledge-work-legal/skills/brief - compliance-check
plugins/knowledge-work-legal/skills/compliance-check - legal-response
plugins/knowledge-work-legal/skills/legal-response - legal-risk-assessment
plugins/knowledge-work-legal/skills/legal-risk-assessment - meeting-briefing
plugins/knowledge-work-legal/skills/meeting-briefing - review-contract
plugins/knowledge-work-legal/skills/review-contract - signature-request
plugins/knowledge-work-legal/skills/signature-request - triage-nda
plugins/knowledge-work-legal/skills/triage-nda - vendor-check
plugins/knowledge-work-legal/skills/vendor-check - brand-review
plugins/knowledge-work-marketing/skills/brand-review - campaign-plan
plugins/knowledge-work-marketing/skills/campaign-plan - competitive-brief
plugins/knowledge-work-marketing/skills/competitive-brief - content-creation
plugins/knowledge-work-marketing/skills/content-creation - draft-content
plugins/knowledge-work-marketing/skills/draft-content - email-sequence
plugins/knowledge-work-marketing/skills/email-sequence - performance-report
plugins/knowledge-work-marketing/skills/performance-report - seo-audit
plugins/knowledge-work-marketing/skills/seo-audit - competitive-brief
plugins/knowledge-work-product-management/skills/competitive-brief - metrics-review
plugins/knowledge-work-product-management/skills/metrics-review - product-brainstorming
plugins/knowledge-work-product-management/skills/product-brainstorming - roadmap-update
plugins/knowledge-work-product-management/skills/roadmap-update - sprint-planning
plugins/knowledge-work-product-management/skills/sprint-planning - stakeholder-update
plugins/knowledge-work-product-management/skills/stakeholder-update - synthesize-research
plugins/knowledge-work-product-management/skills/synthesize-research - write-spec
plugins/knowledge-work-product-management/skills/write-spec - memory-management
plugins/knowledge-work-productivity/skills/memory-management - start
plugins/knowledge-work-productivity/skills/start - task-management
plugins/knowledge-work-productivity/skills/task-management - update
plugins/knowledge-work-productivity/skills/update - account-research
plugins/knowledge-work-sales/skills/account-research - call-prep
plugins/knowledge-work-sales/skills/call-prep - call-summary
plugins/knowledge-work-sales/skills/call-summary - competitive-intelligence
plugins/knowledge-work-sales/skills/competitive-intelligence - create-an-asset
plugins/knowledge-work-sales/skills/create-an-asset - daily-briefing
plugins/knowledge-work-sales/skills/daily-briefing - draft-outreach
plugins/knowledge-work-sales/skills/draft-outreach - forecast
plugins/knowledge-work-sales/skills/forecast - pipeline-review
plugins/knowledge-work-sales/skills/pipeline-review
How it works
analyze
When your agent uses it
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,032 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
../../.claude-plugin/plugin.jsonasset190 bytesSKILL.mdcore4,654 bytes../../../knowledge-work-all/.claude-plugin/plugin.jsonasset206 bytes../../../knowledge-work-bio-research/.claude-plugin/plugin.jsonasset235 bytes../../../knowledge-work-cowork-plugin-management/.claude-plugin/plugin.jsonasset259 bytes../../../knowledge-work-customer-support/.claude-plugin/plugin.jsonasset243 bytes../../../knowledge-work-data/.claude-plugin/plugin.jsonasset220 bytes../../../knowledge-work-engineering/.claude-plugin/plugin.jsonasset234 bytes../../../knowledge-work-finance/.claude-plugin/plugin.jsonasset225 bytes../../../knowledge-work-legal/.claude-plugin/plugin.jsonasset221 bytes../../../knowledge-work-marketing/.claude-plugin/plugin.jsonasset229 bytes../../../knowledge-work-product-management/.claude-plugin/plugin.jsonasset247 bytes../../../knowledge-work-productivity/.claude-plugin/plugin.jsonasset235 bytes../../../knowledge-work-sales/.claude-plugin/plugin.jsonasset221 bytes
Read SKILL.md
# /analyze - Answer Data Questions
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Answer a data question, from a quick lookup to a full analysis to a formal report.
## Usage
```
/analyze <natural language question>
```
## Workflow
### 1. Understand the QuestionView the complete source on GitHubbuild-dashboard
When your agent uses it
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
6,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Base Template
- KPI Card Pattern
- Chart.js Integration
- Filter and Interactivity Implementation
- CSS Styling for Dashboards
- Performance Considerations for Large Datasets
- Examples
- Tips
Files
SKILL.mdcore26,262 bytes
Read SKILL.md
# /build-dashboard - Build Interactive Dashboards
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Build a self-contained interactive HTML dashboard with charts, filters, tables, and professional styling. Opens directly in a browser -- no server or dependencies required.
## Usage
```
/build-dashboard <description of dashboard> [data source]
```
## Workflow
### 1. Understand the Dashboard RequirementsView the complete source on GitHubcreate-viz
When your agent uses it
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /create-viz - Create Visualizations
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Create publication-quality data visualizations using Python. Generates charts from data with best practices for clarity, accuracy, and design.
## Usage
```
/create-viz <data source> [chart type] [additional instructions]
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubdata-context-extractor
When your agent uses it
> Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
What it loads into context
Frontmatter
265 tokensAlways available to the agent
SKILL.md
1,747 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Bootstrap Mode
- Iteration Mode
- Reference File Standards
- Quality Checklist
Files
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# Data Context Extractor
A meta-skill that extracts company-specific data knowledge from analysts and generates tailored data analysis skills.
## How It Works
This skill has two modes:
1. **Bootstrap Mode**: Create a new data analysis skill from scratch
2. **Iteration Mode**: Improve an existing skill by adding domain-specific reference files
---
## Bootstrap Mode
View the complete source on GitHubdata-visualization
When your agent uses it
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,903 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Chart Selection Guide
- Python Visualization Code Patterns
- Design Principles
- Accessibility Considerations
Files
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# Data Visualization Skill
Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations.
## Chart Selection Guide
### Choose by Data Relationship
| What You're Showing | Best Chart | Alternatives |
|---|---|---|
| **Trend over time** | Line chart | Area chart (if showing cumulative or composition) |
| **Comparison across categories** | Vertical bar chart | Horizontal bar (many categories), lollipop chart |
| **Ranking** | Horizontal bar chart | Dot plot, slope chart (comparing two periods) |
| **Part-to-whole composition** | Stacked bar chart | Treemap (hierarchical), waffle chart |
| **Composition over time** | Stacked area chart | 100% stacked bar (for proportion focus) |View the complete source on GitHubexplore-data
When your agent uses it
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
2,760 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Quality Assessment Framework
- Pattern Discovery Techniques
- Schema Understanding and Documentation
- Tips
Files
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# /explore-data - Profile and Explore a Dataset
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Generate a comprehensive data profile for a table or uploaded file. Understand its shape, quality, and patterns before diving into analysis.
## Usage
```
/explore-data <table_name or file>
```
## Workflow
### 1. Access the DataView the complete source on GitHubsql-queries
When your agent uses it
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,004 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Dialect-Specific Reference
- Common SQL Patterns
- Error Handling and Debugging
Files
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# SQL Queries Skill
Write correct, performant, readable SQL across all major data warehouse dialects.
## Dialect-Specific Reference
### PostgreSQL (including Aurora, RDS, Supabase, Neon)
**Date/time:**
```sql
-- Current date/time
CURRENT_DATE, CURRENT_TIMESTAMP, NOW()
-- Date arithmetic
date_column + INTERVAL '7 days'View the complete source on GitHubstatistical-analysis
When your agent uses it
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
2,520 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Descriptive Statistics Methodology
- Trend Analysis and Forecasting
- Outlier and Anomaly Detection
- Hypothesis Testing Basics
- When to Be Cautious About Statistical Claims
Files
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# Statistical Analysis Skill
Descriptive statistics, trend analysis, outlier detection, hypothesis testing, and guidance on when to be cautious about statistical claims.
## Descriptive Statistics Methodology
### Central Tendency
Choose the right measure of center based on the data:
| Situation | Use | Why |
|---|---|---|
| Symmetric distribution, no outliers | Mean | Most efficient estimator |
| Skewed distribution | Median | Robust to outliers |
| Categorical or ordinal data | Mode | Only option for non-numeric |View the complete source on GitHubvalidate-data
When your agent uses it
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,329 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Pre-Delivery QA Checklist
- Common Data Analysis Pitfalls
- Result Sanity Checking
- Documentation Standards for Reproducibility
- Examples
- Tips
Files
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# /validate-data - Validate Analysis Before Sharing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions.
## Usage
```
/validate-data <analysis to review>
```
The analysis can be:
- A document or report in the conversation
- A file (markdown, notebook, spreadsheet)View the complete source on GitHubwrite-query
When your agent uses it
Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
1,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /write-query - Write Optimized SQL
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Write a SQL query from a natural language description, optimized for your specific SQL dialect and following best practices.
## Usage
```
/write-query <description of what data you need>
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubaccount-research
When your agent uses it
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,864 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Research Variations
- Tips for Better Research
- Related Skills
Files
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# Account Research
Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ ACCOUNT RESEARCH │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Company overview: what they do, size, industry │
│ ✓ Recent news: funding, leadership changes, announcements │
│ ✓ Hiring signals: open roles, growth indicators │
│ ✓ Key people: leadership team from LinkedIn │View the complete source on GitHubanalyze
When your agent uses it
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,032 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /analyze - Answer Data Questions
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Answer a data question, from a quick lookup to a full analysis to a formal report.
## Usage
```
/analyze <natural language question>
```
## Workflow
### 1. Understand the QuestionView the complete source on GitHubarchitecture
When your agent uses it
Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
633 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Modes
- Output — ADR Format
- If Connectors Available
- Tips
Files
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# /architecture
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Create an Architecture Decision Record (ADR) or evaluate a system design.
## Usage
```
/architecture $ARGUMENTS
```
## Modes
**Create an ADR**: "Should we use Kafka or SQS for our event bus?"View the complete source on GitHubaudit-support
When your agent uses it
Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
3,370 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- SOX 404 Control Testing Methodology
- Sample Selection Approaches
- Testing Documentation Standards
- Control Deficiency Classification
- Common Control Types
Files
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# Audit Support
**Important**: This skill assists with SOX compliance workflows but does not provide audit or legal advice. All testing workpapers and assessments should be reviewed by qualified financial professionals. While "significance" and "materiality" are context-specific concepts that are ultimately assessed by auditors, this skill is intended to assist professionals in the creation and evaluation of effective internal controls and documentation for audits.
SOX 404 control testing methodology, sample selection approaches, testing documentation standards, control deficiency classification, and common control types.
## SOX 404 Control Testing Methodology
### Overview
SOX Section 404 requires management to assess the effectiveness of internal controls over financial reporting (ICFR). This involves:
1. **Scoping:** Identify significant accounts and relevant assertions
2. **Risk assessment:** Evaluate the risk of material misstatement for each significant account
3. **Control identification:** Document the controls that address each riskView the complete source on GitHubbrand-review
When your agent uses it
Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
2,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Review Process
- Brand Voice Reference
- Output Format
- After Review
Files
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# Brand Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Review marketing content against brand voice, style guidelines, and messaging standards. Flag deviations and provide specific improvement suggestions.
## Trigger
User runs `/brand-review` or asks to review, check, or audit content against brand guidelines.
## Inputs
1. **Content to review** — accept content in any of these forms:
- Pasted directly into the conversation
- A file path or ~~knowledge base reference (e.g. Notion page, shared doc)View the complete source on GitHubbrief
When your agent uses it
Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.
What it loads into context
Frontmatter
171 tokensAlways available to the agent
SKILL.md
1,508 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Modes
- General Notes
Files
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# /brief -- Legal Team Briefing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Generate contextual briefings for legal work. Supports three modes: daily brief, topic brief, and incident brief.
**Important**: This command assists with legal workflows but does not provide legal advice. Briefings should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/brief daily # Morning brief of legal-relevant items
/brief topic [query] # Research brief on a specific legal question
/brief incident [topic] # Rapid brief on a developing situation
```View the complete source on GitHubbuild-dashboard
When your agent uses it
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
6,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Base Template
- KPI Card Pattern
- Chart.js Integration
- Filter and Interactivity Implementation
- CSS Styling for Dashboards
- Performance Considerations for Large Datasets
- Examples
- Tips
Files
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# /build-dashboard - Build Interactive Dashboards
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Build a self-contained interactive HTML dashboard with charts, filters, tables, and professional styling. Opens directly in a browser -- no server or dependencies required.
## Usage
```
/build-dashboard <description of dashboard> [data source]
```
## Workflow
### 1. Understand the Dashboard RequirementsView the complete source on GitHubcall-prep
When your agent uses it
Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Meeting Type Variations
- Tips for Better Prep
- Related Skills
Files
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# Call Prep
Get fully prepared for any sales call in minutes. This skill works with whatever context you provide, and gets significantly better when you connect your sales tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ CALL PREP │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone) │
│ ✓ You tell me: company, meeting type, attendees │
│ ✓ Web search: recent news, funding, leadership changes │
│ ✓ Company research: what they do, size, industry │
│ ✓ Output: prep brief with agenda and questions │View the complete source on GitHubcall-summary
When your agent uses it
Process call notes or a transcript — extract action items, draft follow-up email, generate internal summary. Use when pasting rough notes or a transcript after a discovery, demo, or negotiation call, drafting a customer follow-up, logging the activity for your CRM, or capturing objections and next steps for your team.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
1,259 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Email Style Guidelines
- If Connectors Available
- Tips
Files
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# /call-summary
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Process call notes or a transcript to extract action items, draft follow-up communications, and update records.
## Usage
```
/call-summary <notes or transcript>
```
Process these call notes: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubcampaign-plan
When your agent uses it
Generate a full campaign brief with objectives, audience, messaging, channel strategy, content calendar, and success metrics. Use when planning a product launch, lead-gen push, or awareness campaign, when you need a week-by-week content calendar with dependencies, or when translating a marketing goal into a structured, executable plan.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
3,124 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Campaign Brief Structure
- Planning Reference
- Output
Files
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# Campaign Plan
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate a comprehensive marketing campaign brief with objectives, audience, messaging, channel strategy, content calendar, and success metrics.
## Trigger
User runs `/campaign-plan` or asks to plan, design, or build a marketing campaign.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Campaign goal** — the primary objective (e.g., drive signups, increase awareness, launch a product, generate leads, re-engage churned users)View the complete source on GitHubclose-management
When your agent uses it
Manage the month-end close process with task sequencing, dependencies, and status tracking. Use when planning the close calendar, tracking close progress, identifying blockers, or sequencing close activities by day.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
2,215 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Month-End Close Checklist
- Task Sequencing and Dependencies
- Status Tracking and Reporting
- Common Close Activities by Day
- Close Process Improvement
Files
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# Close Management
**Important**: This skill assists with close management workflows but does not provide financial advice. All close activities should be reviewed by qualified financial professionals.
Month-end close checklist, task sequencing and dependencies, status tracking, and common close activities organized by day.
## Month-End Close Checklist
### Pre-Close (Last 2-3 Business Days of the Month)
- [ ] Send close calendar and deadline reminders to all contributors
- [ ] Confirm cut-off procedures with AP, AR, payroll, and treasury
- [ ] Verify all sub-systems are processing normally (ERP, payroll, banking)
- [ ] Complete preliminary bank reconciliation (all but last-day activity)
- [ ] Review open purchase orders for potential accrual needsView the complete source on GitHubcode-review
When your agent uses it
Review code changes for security, performance, and correctness. Trigger with a PR URL or diff, "review this before I merge", "is this code safe?", or when checking a change for N+1 queries, injection risks, missing edge cases, or error handling gaps.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
912 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- Review Dimensions
- Output
- If Connectors Available
- Tips
Files
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# /code-review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Review code changes with a structured lens on security, performance, correctness, and maintainability.
## Usage
```
/code-review <PR URL or file path>
```
Review the provided code changes: @$1
If no specific file or URL is provided, ask what to review.View the complete source on GitHubcompetitive-brief
When your agent uses it
Create a competitive analysis brief for one or more competitors or a feature area. Use when informing product strategy or feature prioritization, building sales battle cards, prepping board or investor materials, or deciding where to differentiate vs. achieve parity.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
3,146 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Competitive Landscape Mapping
- Feature Comparison Matrices
- Positioning Analysis Frameworks
- Win/Loss Analysis Methodology
- Market Trend Identification
- Output Format
- Tips
Files
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# Competitive Brief
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Create a competitive analysis brief for one or more competitors or a feature area.
## Usage
```
/competitive-brief $ARGUMENTS
```
## Workflow
### 1. Scope the AnalysisView the complete source on GitHubcompetitive-intelligence
When your agent uses it
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,027 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output: Interactive HTML Battlecard
- HTML Structure
- Visual Design
- Execution Flow
- Data Structure Per Competitor
- Delivery
- Refresh Cadence
- Tips for Better Intel
- Related Skills
Files
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# Competitive Intelligence
Research your competitors extensively and generate an **interactive HTML battlecard** you can use in deals. The output is a self-contained artifact with clickable competitor tabs and an overall comparison matrix.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ COMPETITIVE INTELLIGENCE │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Competitor product deep-dive: features, pricing, positioning │
│ ✓ Recent releases: what they've shipped in last 90 days │
│ ✓ Your company releases: what you've shipped to counter │
│ ✓ Differentiation matrix: where you win vs. where they win │View the complete source on GitHubcompliance-check
When your agent uses it
Run a compliance check on a proposed action, product feature, or business initiative, surfacing applicable regulations, required approvals, and risk areas. Use when launching a feature that touches personal data, when marketing or product proposes something with regulatory implications, or when you need to know which approvals and jurisdictional requirements apply before proceeding.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
3,116 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- What I Need From You
- Output
- Privacy Regulation Overview
- DPA Review Checklist
- Data Subject Request Handling
- Regulatory Monitoring Basics
- Tips
Files
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# /compliance-check -- Compliance Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Run a compliance check on a proposed action, product feature, marketing campaign, or business initiative.
**Important**: This command assists with legal workflows but does not provide legal advice. Compliance assessments should be reviewed by qualified legal professionals. Regulatory requirements change frequently; always verify current requirements with authoritative sources.
## Usage
```
/compliance-check $ARGUMENTS
```
## What I Need From YouView the complete source on GitHubcontent-creation
When your agent uses it
Draft marketing content across channels — blog posts, social media, email newsletters, landing pages, press releases, and case studies. Use when writing any marketing content, when you need channel-specific formatting, SEO-optimized copy, headline options, or calls to action.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,119 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Content Type Templates
- Writing Best Practices by Channel
- SEO Fundamentals for Content
- Headline and Hook Formulas
- Call-to-Action Best Practices
Files
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# Content Creation Skill
Guidelines and frameworks for creating effective marketing content across channels.
## Content Type Templates
### Blog Post Structure
1. **Headline** — clear, benefit-driven, includes primary keyword (aim for 60 characters or less for SEO)
2. **Introduction** (100-150 words) — hook the reader with a question, statistic, bold claim, or relatable scenario. State what the post will cover. Include primary keyword.
3. **Body sections** (3-5 sections) — each with a descriptive subheading (H2). Use H3 for subsections. One core idea per section with supporting evidence, examples, or data.
4. **Conclusion** (75-100 words) — summarize key takeaways, reinforce the main message, include a call to action.
5. **Meta description** — under 160 characters, includes primary keyword, compels the click.
### Social Media Post Structure
- **Hook** — first line grabs attention (question, bold statement, number)View the complete source on GitHubcowork-plugin-customizer
When your agent uses it
> Customize a Claude Code plugin for a specific organization's tools and workflows. Use when: customize plugin, set up plugin, configure plugin, tailor plugin, adjust plugin settings, customize plugin connectors, customize plugin skill, tweak plugin, modify plugin configuration.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,185 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Determining the Customization Mode
- Customization Workflow
- Packaging the Plugin
- Summary Output
- Additional Resources
Files
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# Cowork Plugin Customization
Customize a plugin for a specific organization — either by setting up a generic plugin template for the first time, or by tweaking and refining an already-configured plugin.
> **Finding the plugin**: To find the plugin's source files, run `find mnt/.local-plugins mnt/.plugins -type d -name "*<plugin-name>*"` to locate the plugin directory, then read its files to understand its structure before making changes. If you cannot find the plugin directory, the user is likely running this conversation in a remote container. Abort and let them know: "Customizing plugins is currently only available in the desktop app's Cowork mode."
## Determining the Customization Mode
After locating the plugin, check for `~~`-prefixed placeholders: `grep -rn '~~\w' /path/to/plugin --include='*.md' --include='*.json'`
> **Default rule**: If `~~` placeholders exist, default to **Generic plugin setup** unless the user explicitly asks to customize a specific part of the plugin.
**1. Generic plugin setup** — The plugin contains `~~`-prefixed placeholders. These are customization points in a template that need to be replaced with real values (e.g., `~~Jira` → `Asana`, `~~your-team-channel` → `#engineering`).
**2. Scoped customization** — No `~~` placeholders exist, and the user asked to customize a specific part of the plugin (e.g., "customize the connectors", "update the standup skill", "change the ticket tool"). Read the plugin files to find the relevant section(s) and focus only on those. Do not scan the entire plugin or present unrelated customization items.View the complete source on GitHubcreate-an-asset
When your agent uses it
Generate tailored sales assets (landing pages, decks, one-pagers, workflow demos) from your deal context. Describe your prospect, audience, and goal — get a polished, branded asset ready to share with customers.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
6,264 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Overview
- Phase 0: Context Detection & Input Collection
- Phase 1: Research (Adaptive)
- Phase 2: Structure Decision
- Phase 3: Content Generation
- Phase 4: Visual Design
- Phase 5: Clarifying Questions (REQUIRED)
- Phase 6: Build & Deliver
- Phase 7: Iteration Support
- Quality Checklist
- Examples
- Appendix: Component Icons
- Appendix: Brand Color Fallbacks
Files
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# Create an Asset
Generate custom sales assets tailored to your prospect, audience, and goals. Supports interactive landing pages, presentation decks, executive one-pagers, and workflow/architecture demos.
---
## Triggers
Invoke this skill when:
- User says `/create-an-asset` or `/create-an-asset [CompanyName]`
- User asks to "create an asset", "build a demo", "make a landing page", "mock up a workflow"
- User needs a customer-facing deliverable for a sales conversation
---
View the complete source on GitHubcreate-cowork-plugin
When your agent uses it
> Guide users through creating a new plugin from scratch in a cowork session. Use when users want to create a plugin, build a plugin, make a new plugin, develop a plugin, scaffold a plugin, start a plugin from scratch, or design a plugin. This skill requires Cowork mode with access to the outputs directory for delivering the final .plugin file.
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
2,957 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Plugin Architecture
- Guided Workflow
- Best Practices
- Additional Resources
Files
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# Create Cowork Plugin
Build a new plugin from scratch through guided conversation. Walk the user through discovery, planning, design, implementation, and packaging — delivering a ready-to-install `.plugin` file at the end.
## Overview
A plugin is a self-contained directory that extends Claude's capabilities with skills, agents, hooks, and MCP server integrations. This skill encodes the full plugin architecture and a five-phase workflow for creating one conversationally.
The process:
1. **Discovery** — understand what the user wants to build
2. **Component Planning** — determine which component types are needed
3. **Design & Clarifying Questions** — specify each component in detail
4. **Implementation** — create all plugin files
5. **Review & Package** — deliver the `.plugin` fileView the complete source on GitHubcreate-viz
When your agent uses it
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /create-viz - Create Visualizations
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Create publication-quality data visualizations using Python. Generates charts from data with best practices for clarity, accuracy, and design.
## Usage
```
/create-viz <data source> [chart type] [additional instructions]
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubcustomer-escalation
When your agent uses it
Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
2,493 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- When to Escalate vs. Handle in Support
- Escalation Tiers
- Business Impact Assessment
- Writing Reproduction Steps
- Follow-up Cadence After Escalation
- De-escalation
- Escalation Best Practices
Files
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# /customer-escalation
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Package a support issue into a structured escalation brief for engineering, product, or leadership. Gathers context, structures reproduction steps, assesses business impact, and identifies the right escalation target.
## Usage
```
/customer-escalation <issue description> [customer name or account]
```
Examples:
- `/customer-escalation API returning 500 errors intermittently for Acme Corp`
- `/customer-escalation Data export is missing rows — 3 customers reported this week`View the complete source on GitHubcustomer-research
When your agent uses it
Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,199 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Source Prioritization and Confidence
- When to Escalate vs. Answer Directly
- Research Documentation for Team Knowledge Base
Files
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# /customer-research
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Multi-source research on a customer question, product topic, or account-related inquiry. Synthesizes findings from all available sources with clear attribution and confidence scoring.
## Usage
```
/customer-research <question or topic>
```
## Workflow
### 1. Parse the Research RequestView the complete source on GitHubdaily-briefing
When your agent uses it
Start your day with a prioritized sales briefing. Works standalone when you tell me your meetings and priorities, supercharged when you connect your calendar, CRM, and email. Trigger with "morning briefing", "daily brief", "what's on my plate today", "prep my day", or "start my day".
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,757 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Quick Mode
- End of Day Mode
- Tips
- Related Skills
Files
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# Daily Sales Briefing
Get a clear view of what matters most today. This skill works with whatever you tell me, and gets richer when you connect your tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ DAILY BRIEFING │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone) │
│ ✓ You tell me: today's meetings, key deals, priorities │
│ ✓ I organize: prioritized action plan for your day │
│ ✓ Output: scannable 2-minute briefing │
├─────────────────────────────────────────────────────────────────┤View the complete source on GitHubdata-context-extractor
When your agent uses it
> Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
What it loads into context
Frontmatter
265 tokensAlways available to the agent
SKILL.md
1,747 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Bootstrap Mode
- Iteration Mode
- Reference File Standards
- Quality Checklist
Files
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# Data Context Extractor
A meta-skill that extracts company-specific data knowledge from analysts and generates tailored data analysis skills.
## How It Works
This skill has two modes:
1. **Bootstrap Mode**: Create a new data analysis skill from scratch
2. **Iteration Mode**: Improve an existing skill by adding domain-specific reference files
---
## Bootstrap Mode
View the complete source on GitHubdata-visualization
When your agent uses it
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,903 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Chart Selection Guide
- Python Visualization Code Patterns
- Design Principles
- Accessibility Considerations
Files
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# Data Visualization Skill
Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations.
## Chart Selection Guide
### Choose by Data Relationship
| What You're Showing | Best Chart | Alternatives |
|---|---|---|
| **Trend over time** | Line chart | Area chart (if showing cumulative or composition) |
| **Comparison across categories** | Vertical bar chart | Horizontal bar (many categories), lollipop chart |
| **Ranking** | Horizontal bar chart | Dot plot, slope chart (comparing two periods) |
| **Part-to-whole composition** | Stacked bar chart | Treemap (hierarchical), waffle chart |
| **Composition over time** | Stacked area chart | 100% stacked bar (for proportion focus) |View the complete source on GitHubdebug
When your agent uses it
Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- If Connectors Available
- Tips
Files
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# /debug
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Run a structured debugging session to find and fix issues systematically.
## Usage
```
/debug $ARGUMENTS
```
## How It Works
```View the complete source on GitHubdeploy-checklist
When your agent uses it
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Output
- Customization
- If Connectors Available
- Tips
Files
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# /deploy-checklist
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Generate a pre-deployment checklist to verify readiness before shipping.
## Usage
```
/deploy-checklist $ARGUMENTS
```
## Output
```markdownView the complete source on GitHubdocumentation
When your agent uses it
Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing — API docs, architecture docs, or operational runbooks.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
394 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Document Types
- Principles
Files
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# Technical Documentation
Write clear, maintainable technical documentation for different audiences and purposes.
## Document Types
### README
- What this is and why it exists
- Quick start (< 5 minutes to first success)
- Configuration and usage
- Contributing guide
### API Documentation
- Endpoint reference with request/response examples
- Authentication and error codesView the complete source on GitHubdraft-content
When your agent uses it
Draft blog posts, social media, email newsletters, landing pages, press releases, and case studies with channel-specific formatting and SEO recommendations. Use when writing any marketing content, when you need headline or subject line options, or when adapting a message for a specific platform, audience, and brand voice.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
1,066 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Brand Voice
- Content Generation by Type
- SEO Considerations (for web content)
- Output
Files
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# Draft Content
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate marketing content drafts tailored to a specific content type, audience, and brand voice.
## Trigger
User runs `/draft-content` or asks to draft, write, or create marketing content.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Content type** — one of:View the complete source on GitHubdraft-outreach
When your agent uses it
Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to [name]".
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
2,414 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Connectors (Optional)
- How It Works
- Output Format
- Execution Flow
- Capability by Connector
- Message Templates by Scenario
- Email Style Guidelines
- What NOT to Do
- Channel Selection
- Company Configuration [CUSTOMIZE]
- Example
Files
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# Draft Outreach
Research first, then draft. This skill never sends generic outreach - it always researches the prospect first to personalize the message. Works standalone with web search, supercharged when you connect your tools.
## Connectors (Optional)
| Connector | What It Adds |
|-----------|--------------|
| **Enrichment** | Verified email, phone, background details |
| **CRM** | Prior relationship context, existing contacts |
| **Email** | Create draft directly in your inbox |
> **No connectors?** Web research works great. I'll output the email text for you to copy.
---View the complete source on GitHubdraft-response
When your agent uses it
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Customer Communication Best Practices
- Tone and Style Guidelines
- Situation-Specific Approaches
- Response Templates for Common Scenarios
- Follow-up and Escalation Guidance
Files
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# /draft-response
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Draft a professional, customer-facing response tailored to the situation, customer relationship, and communication context.
## Usage
```
/draft-response <context about the customer question, issue, or request>
```
Examples:
- `/draft-response Acme Corp is asking when the new dashboard feature will ship`
- `/draft-response Customer escalation — their integration has been down for 2 days`View the complete source on GitHubemail-sequence
When your agent uses it
Design and draft multi-email sequences with full copy, timing, branching logic, exit conditions, and performance benchmarks. Use when building onboarding, lead nurture, re-engagement, win-back, or product launch flows, when you need a complete drip campaign with A/B test suggestions, or when mapping a sequence end-to-end with a flow diagram.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
2,461 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Process
- Sequence Type Templates
- Tool Integration
- Output
- After the Sequence
Files
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# Email Sequence
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Design and draft complete email sequences with full copy, timing, branching logic, and performance benchmarks for any lifecycle or campaign use case.
## Trigger
User runs `/email-sequence` or asks to create, design, build, or draft an email sequence, drip campaign, nurture flow, or onboarding series.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Sequence type** — one of:View the complete source on GitHubexplore-data
When your agent uses it
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
2,760 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Quality Assessment Framework
- Pattern Discovery Techniques
- Schema Understanding and Documentation
- Tips
Files
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# /explore-data - Profile and Explore a Dataset
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Generate a comprehensive data profile for a table or uploaded file. Understand its shape, quality, and patterns before diving into analysis.
## Usage
```
/explore-data <table_name or file>
```
## Workflow
### 1. Access the DataView the complete source on GitHubfinancial-statements
When your agent uses it
Generate financial statements (income statement, balance sheet, cash flow) with period-over-period comparison and variance analysis. Use when preparing a monthly or quarterly P&L, closing the books and need to flag material variances, comparing actuals to budget, building a financial summary for leadership review, or looking up GAAP presentation requirements and period-end adjustments.
What it loads into context
Frontmatter
170 tokensAlways available to the agent
SKILL.md
3,438 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- GAAP Presentation Requirements
- Balance Sheet Reference Format
- Cash Flow Statement Reference Format (Indirect Method)
- Common Adjustments and Reclassifications
Files
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# /financial-statements
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with financial statement workflows but does not provide financial advice. All statements should be reviewed by qualified financial professionals before use in reporting or filings.
Generate financial statements with period-over-period comparison and variance analysis. The workflow below walks through income statement generation; balance sheet and cash flow statement reference formats, GAAP presentation requirements (ASC 220/210/230), and common period-end adjustments are included as supporting reference material.
## Usage
```
/financial-statements <period-type> <period>
```
### ArgumentsView the complete source on GitHubforecast
When your agent uses it
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline coverage against your number.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,681 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Stage Probabilities (Default)
- If CRM Connected
- Tips
Files
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# /forecast
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Generate a weighted sales forecast with risk analysis and commit recommendations.
## Usage
```
/forecast [period]
```
Generate a forecast for: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubincident-response
When your agent uses it
Run an incident response workflow — triage, communicate, and write postmortem. Trigger with "we have an incident", "production is down", an alert that needs severity assessment, a status update mid-incident, or when writing a blameless postmortem after resolution.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,203 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Modes
- How It Works
- Severity Classification
- Communication Guidance
- Output — Status Update
- Output — Postmortem
- If Connectors Available
- Tips
Files
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# /incident-response
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Manage an incident from detection through postmortem.
## Usage
```
/incident-response $ARGUMENTS
```
## Modes
```View the complete source on GitHubinstrument-data-to-allotrope
When your agent uses it
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
What it loads into context
Frontmatter
214 tokensAlways available to the agent
SKILL.md
2,506 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow Overview
- Quick Start
- Output Format Selection
- Calculated Data Handling
- Validation
- Supported Instruments
- Detection & Parsing Strategy
- Pre-Parsing Checklist
- Common Mistakes to Avoid
- Code Export for Data Engineers
- File Structure
- Usage Examples
- Implementation Notes
Files
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# Instrument Data to Allotrope Converter
Convert instrument files into standardized Allotrope Simple Model (ASM) format for LIMS upload, data lakes, or handoff to data engineering teams.
> **Note: This is an Example Skill**
>
> This skill demonstrates how skills can support your data engineering tasks—automating schema transformations, parsing instrument outputs, and generating production-ready code.
>
> **To customize for your organization:**
> - Modify the `references/` files to include your company's specific schemas or ontology mappings
> - Use an MCP server to connect to systems that define your schemas (e.g., your LIMS, data catalog, or schema registry)
> - Extend the `scripts/` to handle proprietary instrument formats or internal data standards
>
> This pattern can be adapted for any data transformation workflow where you need to convert between formats or validate against organizational standards.
View the complete source on GitHubjournal-entry
When your agent uses it
Prepare journal entries with proper debits, credits, and supporting detail. Use when booking month-end accruals (AP, payroll, prepaid), recording depreciation or amortization, posting revenue recognition or deferred revenue adjustments, or documenting an entry for audit review.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,229 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
Files
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# Journal Entry Preparation
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.
Prepare journal entries with proper debits, credits, supporting detail, and review documentation.
## Usage
```
/je <type> <period>
```
### ArgumentsView the complete source on GitHubjournal-entry-prep
When your agent uses it
Prepare journal entries with proper debits, credits, and supporting documentation for month-end close. Use when booking accruals, prepaid amortization, fixed asset depreciation, payroll entries, revenue recognition, or any manual journal entry.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,686 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Standard Accrual Types and Their Entries
- Supporting Documentation Requirements
- Review and Approval Workflows
- Common Errors to Check For
Files
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# Journal Entry Preparation
**Important**: This skill assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.
Best practices, standard entry types, documentation requirements, and review workflows for journal entry preparation.
## Standard Accrual Types and Their Entries
### Accounts Payable Accruals
Accrue for goods or services received but not yet invoiced at period end.
**Typical entry:**
- Debit: Expense account (or capitalize if asset-qualifying)
- Credit: Accrued liabilitiesView the complete source on GitHubkb-article
When your agent uses it
Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
2,809 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Article Structure and Formatting Standards
- Writing for Searchability
- Article Type Templates
- Review and Maintenance Cadence
- Linking and Categorization Taxonomy
- KB Writing Best Practices
Files
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# /kb-article
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Draft a publish-ready knowledge base article from a resolved support issue, common question, or documented workaround. Structures the content for searchability and self-service.
## Usage
```
/kb-article <resolved issue, ticket reference, or topic description>
```
Examples:
- `/kb-article How to configure SSO with Okta — resolved this for 3 customers last month`
- `/kb-article Ticket #4521 — customer couldn't export data over 10k rows`View the complete source on GitHublegal-response
When your agent uses it
Generate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply. Use when responding to data subject requests, litigation hold notices, vendor legal questions, NDA requests from business teams, or subpoenas.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
3,435 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Response Categories
- Template Management Methodology
- Template Creation Guide
- Output Format
- Notes
Files
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# /legal-response -- Generate Response from Templates
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Generate a response to a common legal inquiry using configured templates. Customizes the response with specific details and includes escalation triggers for situations that should not use a templated response.
**Important**: This command assists with legal workflows but does not provide legal advice. Generated responses should be reviewed by qualified legal professionals before being sent, especially for regulated communications.
## Invocation
```
/legal-response [inquiry-type]
```
Common inquiry types:View the complete source on GitHublegal-risk-assessment
When your agent uses it
Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,763 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Risk Assessment Framework
- Risk Classification Levels with Recommended Actions
- Documentation Standards for Risk Assessments
- When to Escalate to Outside Counsel
Files
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# Legal Risk Assessment Skill
You are a legal risk assessment assistant for an in-house legal team. You help evaluate, classify, and document legal risks using a structured framework based on severity and likelihood.
**Important**: You assist with legal workflows but do not provide legal advice. Risk assessments should be reviewed by qualified legal professionals. The framework provided is a starting point that organizations should customize to their specific risk appetite and industry context.
## Risk Assessment Framework
### Severity x Likelihood Matrix
Legal risks are assessed on two dimensions:
**Severity** (impact if the risk materializes):
| Level | Label | Description |View the complete source on GitHubmeeting-briefing
When your agent uses it
Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews, or any meeting where legal context, background research, or action tracking is needed.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
2,051 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Meeting Prep Methodology
- Briefing Template
- Meeting-Type Specific Guidance
- Action Item Tracking
Files
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# Meeting Briefing Skill
You are a meeting preparation assistant for an in-house legal team. You gather context from connected sources, prepare structured briefings for meetings with legal relevance, and help track action items that arise from meetings.
**Important**: You assist with legal workflows but do not provide legal advice. Meeting briefings should be reviewed for accuracy and completeness before use.
## Meeting Prep Methodology
### Step 1: Identify the Meeting
Determine the meeting context from the user's request or calendar:
- **Meeting title and type**: What kind of meeting is this? (deal review, board meeting, vendor call, team sync, client meeting, regulatory discussion)
- **Participants**: Who will be attending? What are their roles and interests?
- **Agenda**: Is there a formal agenda? What topics will be covered?
- **Your role**: What is the legal team member's role in this meeting? (advisor, presenter, observer, negotiator)View the complete source on GitHubmemory-management
When your agent uses it
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,277 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Goal
- Architecture
- Lookup Flow
- File Locations
- Working Memory Format (CLAUDE.md)
- Deep Memory Format (memory/)
- How to Interact
- Bootstrapping
- Conventions
- What Goes Where
- Promotion / Demotion
Files
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# Memory Management
Memory makes Claude your workplace collaborator - someone who speaks your internal language.
## The Goal
Transform shorthand into understanding:
```
User: "ask todd to do the PSR for oracle"
↓ Claude decodes
"Ask Todd Martinez (Finance lead) to prepare the Pipeline Status Report
for the Oracle Systems deal ($2.3M, closing Q2)"
```
View the complete source on GitHubmetrics-review
When your agent uses it
Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
4,018 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Product Metrics Hierarchy
- Common Product Metrics
- Goal Setting Frameworks
- Metric Review Cadences
- Dashboard Design Principles
- Output Format
- Tips
Files
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# Metrics Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Review and analyze product metrics, identify trends, and surface actionable insights.
## Usage
```
/metrics-review $ARGUMENTS
```
## Workflow
### 1. Gather Metrics DataView the complete source on GitHubnextflow-development
When your agent uses it
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
What it loads into context
Frontmatter
184 tokensAlways available to the agent
SKILL.md
2,439 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow Checklist
- Step 0: Acquire Data (GEO/SRA Only)
- Step 1: Environment Check
- Step 2: Select Pipeline
- Step 3: Run Test Profile
- Step 4: Create Samplesheet
- Step 5: Configure & Run
- Step 6: Verify Outputs
- Quick Reference
- References
- Disclaimer
- Attribution
- Licenses
Files
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# nf-core Pipeline Deployment
Run nf-core bioinformatics pipelines on local or public sequencing data.
**Target users:** Bench scientists and researchers without specialized bioinformatics training who need to run large-scale omics analyses—differential expression, variant calling, or chromatin accessibility analysis.
## Workflow Checklist
```
- [ ] Step 0: Acquire data (if from GEO/SRA)
- [ ] Step 1: Environment check (MUST pass)
- [ ] Step 2: Select pipeline (confirm with user)
- [ ] Step 3: Run test profile (MUST pass)
- [ ] Step 4: Create samplesheet
- [ ] Step 5: Configure & run (confirm genome with user)View the complete source on GitHubperformance-report
When your agent uses it
Build a marketing performance report with key metrics, trend analysis, wins and misses, and prioritized optimization recommendations. Use when wrapping a campaign, when preparing weekly, monthly, or quarterly channel summaries for stakeholders, or when you need data translated into an executive summary with next-period priorities.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
4,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Report Structure
- Metric Definitions and Benchmarks
- Reporting Templates by Cadence
- Trend Analysis and Forecasting
- Attribution Modeling Basics
- Optimization Recommendations Framework
- Output Formatting
- After the Report
Files
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# Performance Report
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate a marketing performance report with key metrics, trend analysis, insights, and optimization recommendations.
## Trigger
User runs `/performance-report` or asks for a marketing report, performance analysis, campaign results, or metrics summary.
## Inputs
1. **Report type** — determine which type of report the user needs:
- **Campaign report** — performance of a specific campaign
- **Channel report** — performance across a specific channel (email, social, paid, SEO, etc.)View the complete source on GitHubpipeline-review
When your agent uses it
Analyze pipeline health — prioritize deals, flag risks, get a weekly action plan. Use when running a weekly pipeline review, deciding which deals to focus on this week, spotting stale or stuck opportunities, auditing for hygiene issues like bad close dates, or identifying single-threaded deals.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
2,013 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Prioritization Framework
- If CRM Connected
- Tips
Files
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# /pipeline-review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Analyze your pipeline health, prioritize deals, and get actionable recommendations for where to focus.
## Usage
```
/pipeline-review [segment or rep]
```
Review pipeline for: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubproduct-brainstorming
When your agent uses it
Brainstorm product ideas, explore problem spaces, and challenge assumptions as a thinking partner. Use when exploring a new opportunity, generating solutions to a product problem, stress-testing an idea, or when a PM needs to think out loud with a sharp sparring partner before converging on a direction.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
3,583 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Brainstorming Modes
- Brainstorming Frameworks
- Session Structure
- Being a Good Thinking Partner
- Common Brainstorming Anti-Patterns
Files
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# Product Brainstorming Skill
You are a sharp product thinking partner — the kind of experienced PM or design lead who challenges assumptions, asks the hard questions, and pushes ideas further before anyone converges too early. You help product managers explore problem spaces, generate ideas, and stress-test thinking before it becomes a spec.
Your job is not to generate deliverables. Your job is to think alongside the PM. Be opinionated. Push back. Bring in unexpected angles. Help them arrive at ideas they would not have reached alone.
## Brainstorming Modes
Different situations call for different modes of thinking. Identify which mode fits the conversation and adapt. You can shift between modes as the conversation evolves.
### Problem Exploration
Use when the PM has a problem area but has not yet defined what to solve. The goal is to understand the problem space deeply before jumping to solutions.
**What to do:**View the complete source on GitHubreconciliation
When your agent uses it
Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Reconciliation Types
- Reconciling Item Categorization
- Aging Analysis for Outstanding Items
- Escalation Thresholds
- Reconciliation Best Practices
Files
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# Reconciliation
**Important**: This skill assists with reconciliation workflows but does not provide financial advice. All reconciliations should be reviewed by qualified financial professionals before sign-off.
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation.
## Reconciliation Types
### GL to Subledger Reconciliation
Compare the general ledger control account balance to the detailed subledger balance.
**Common accounts:**
- Accounts receivable (GL control vs AR subledger aging)
- Accounts payable (GL control vs AP subledger aging)View the complete source on GitHubreview-contract
When your agent uses it
Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis. Use when reviewing vendor or customer agreements, when you need clause-by-clause analysis against standard positions, or when preparing a negotiation strategy with prioritized redlines and fallback positions.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
3,537 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Output Format
- Notes
Files
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# /review-contract -- Contract Review Against Playbook
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Review a contract against your organization's negotiation playbook. Analyze each clause, flag deviations, generate redline suggestions, and provide business impact analysis.
**Important**: You assist with legal workflows but do not provide legal advice. All analysis should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/review-contract <contract file or URL>
```
Review the contract: @$1View the complete source on GitHubroadmap-update
When your agent uses it
Update, create, or reprioritize your product roadmap. Use when adding a new initiative and deciding what moves to make room, shifting priorities after new information comes in, moving timelines due to a dependency slip, or building a Now/Next/Later view from scratch.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,778 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Roadmap Frameworks
- Prioritization Frameworks
- Dependency Mapping
- Capacity Planning
- Communicating Roadmap Changes
- Output Format
- Tips
Files
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# Roadmap Update
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Update, create, or reprioritize a product roadmap.
## Usage
```
/roadmap-update $ARGUMENTS
```
## Workflow
### 1. Understand Current StateView the complete source on GitHubscientific-problem-selection
When your agent uses it
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
What it loads into context
Frontmatter
206 tokensAlways available to the agent
SKILL.md
2,637 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Getting Started
- Option 1: Pitch an Idea
- Option 2: Troubleshoot a Problem
- Option 3: Ask a Strategic Question
- Core Framework Concepts
- The 9 Skills Overview
- Skill Workflow
- Key Design Principles
- Who Should Use These Skills
- Reference Materials
- Expected Outcomes
- Foundational Reference
Files
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# Scientific Problem Selection Skills
A conversational framework for systematic scientific problem selection based on Fischbach & Walsh's "Problem choice and decision trees in science and engineering" (Cell, 2024).
## Getting Started
Present users with three entry points:
**1) Pitch an idea for a new project** — to work it up together
**2) Share a problem in a current project** — to troubleshoot together
**3) Ask a strategic question** — to navigate the decision tree together
This conversational entry meets scientists where they are and establishes a collaborative tone.View the complete source on GitHubscvi-tools
When your agent uses it
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
What it loads into context
Frontmatter
273 tokensAlways available to the agent
SKILL.md
1,943 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How to Use This Skill
- When to Use This Skill
- Model Selection Guide
- Workflow Reference Files
- CLI Scripts
- Critical Requirements
- Quick Decision Tree
- Key Resources
Files
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# scvi-tools Deep Learning Skill
This skill provides guidance for deep learning-based single-cell analysis using scvi-tools, the leading framework for probabilistic models in single-cell genomics.
## How to Use This Skill
1. Identify the appropriate workflow from the model/workflow tables below
2. Read the corresponding reference file for detailed steps and code
3. Use scripts in `scripts/` to avoid rewriting common code
4. For installation or GPU issues, consult `references/environment_setup.md`
5. For debugging, consult `references/troubleshooting.md`
## When to Use This Skill
- When scvi-tools, scVI, scANVI, or related models are mentionedView the complete source on GitHubseo-audit
When your agent uses it
Run a comprehensive SEO audit — keyword research, on-page analysis, content gaps, technical checks, and competitor comparison. Use when assessing a site's SEO health, when finding keyword opportunities and content gaps competitors own, or when you need a prioritized action plan split into quick wins and strategic investments.
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
2,057 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Process
- Output
- Follow-Up
Files
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# /seo-audit
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Audit a website's SEO health, research keyword opportunities, identify content gaps, and benchmark against competitors. Produces a prioritized action plan a marketer can execute immediately.
## Trigger
User runs `/seo-audit` or asks for an SEO audit, keyword research, content gap analysis, technical SEO check, or competitor SEO comparison.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **URL or domain** — the site to audit, or a topic/keyword if running in keyword research modeView the complete source on GitHubsignature-request
When your agent uses it
Prepare and route a document for e-signature — run a pre-signature checklist, configure signing order, and send for execution. Use when a contract is finalized and ready to sign, when verifying entity names, exhibits, and signature blocks before sending, or when setting up an envelope with sequential or parallel signers.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
877 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output
- Tips
Files
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# /signature-request -- E-Signature Routing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Prepare a document for electronic signature — verify completeness, set signing order, and route for execution.
**Important**: This command assists with legal workflows but does not provide legal advice. Verify documents are in final form before sending for signature.
## Usage
```
/signature-request $ARGUMENTS
```
Prepare for signature: @$1View the complete source on GitHubsingle-cell-rna-qc
When your agent uses it
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,919 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Approach 1: Complete QC Pipeline (Recommended for Standard Workflows)
- Approach 2: Modular Building Blocks (For Custom Workflows)
- Best Practices
- Reference Materials
- Next Steps After QC
Files
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# Single-Cell RNA-seq Quality Control
Automated QC workflow for single-cell RNA-seq data following scverse best practices.
## When to Use This Skill
Use when users:
- Request quality control or QC on single-cell RNA-seq data
- Want to filter low-quality cells or assess data quality
- Need QC visualizations or metrics
- Ask to follow scverse/scanpy best practices
- Request MAD-based filtering or outlier detection
**Supported input formats:**
- `.h5ad` files (AnnData format from scanpy/Python workflows)View the complete source on GitHubsox-testing
When your agent uses it
Generate SOX sample selections, testing workpapers, and control assessments. Use when planning quarterly or annual SOX 404 testing, pulling a sample for a control (revenue, P2P, ITGC, close), building a testing workpaper template, or evaluating and classifying a control deficiency.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
2,104 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
Files
SKILL.mdcore9,559 bytes
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# SOX Compliance Testing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with SOX compliance workflows but does not provide audit or legal advice. All testing workpapers and assessments should be reviewed by qualified financial professionals before use in audit documentation.
Generate sample selections, create testing workpapers, document control assessments, and provide testing templates for SOX 404 internal controls over financial reporting.
## Usage
```
/sox <control-area> <period>
```
### ArgumentsView the complete source on GitHubsprint-planning
When your agent uses it
Plan a sprint — scope work, estimate capacity, set goals, and draft a sprint plan. Use when kicking off a new sprint, sizing a backlog against team availability (accounting for PTO and meetings), deciding what's P0 vs. stretch, or handling carryover from the last sprint.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
949 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Tips
Files
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# /sprint-planning
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Plan a sprint by scoping work, estimating capacity, and setting clear goals.
## Usage
```
/sprint-planning $ARGUMENTS
```
## How It Works
```View the complete source on GitHubsql-queries
When your agent uses it
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,004 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Dialect-Specific Reference
- Common SQL Patterns
- Error Handling and Debugging
Files
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# SQL Queries Skill
Write correct, performant, readable SQL across all major data warehouse dialects.
## Dialect-Specific Reference
### PostgreSQL (including Aurora, RDS, Supabase, Neon)
**Date/time:**
```sql
-- Current date/time
CURRENT_DATE, CURRENT_TIMESTAMP, NOW()
-- Date arithmetic
date_column + INTERVAL '7 days'View the complete source on GitHubstakeholder-update
When your agent uses it
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,335 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Update Templates by Audience
- Status Reporting Framework
- Risk Communication
- Decision Documentation (ADRs)
- Meeting Facilitation
- Output Format
- Tips
Files
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# Stakeholder Update
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Generate a stakeholder update tailored to the audience and cadence.
## Usage
```
/stakeholder-update $ARGUMENTS
```
## Workflow
### 1. Determine Update TypeView the complete source on GitHubstandup
When your agent uses it
Generate a standup update from recent activity. Use when preparing for daily standup, summarizing yesterday's commits and PRs and ticket moves, formatting work into yesterday/today/blockers, or structuring a few rough notes into a shareable update.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
665 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- What I Need From You
- Output
- If Connectors Available
- Tips
Files
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# /standup
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Generate a standup update by pulling together recent activity across your tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ STANDUP │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ Tell me what you worked on and I'll structure it │
│ ✓ Format for daily standup (yesterday / today / blockers) │View the complete source on GitHubstart
When your agent uses it
Initialize the productivity system and open the dashboard. Use when setting up the plugin for the first time, bootstrapping working memory from your existing task list, or decoding the shorthand (nicknames, acronyms, project codenames) you use in your todos.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,267 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Instructions
- Notes
Files
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# Start Command
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-productivity.md).
Initialize the task and memory systems, then open the unified dashboard.
## Instructions
### 1. Check What Exists
Check the working directory for:
- `TASKS.md` — task list
- `CLAUDE.md` — working memory
- `memory/` — deep memory directory
- `dashboard.html` — the visual UIView the complete source on GitHubstatistical-analysis
When your agent uses it
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
2,520 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Descriptive Statistics Methodology
- Trend Analysis and Forecasting
- Outlier and Anomaly Detection
- Hypothesis Testing Basics
- When to Be Cautious About Statistical Claims
Files
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# Statistical Analysis Skill
Descriptive statistics, trend analysis, outlier detection, hypothesis testing, and guidance on when to be cautious about statistical claims.
## Descriptive Statistics Methodology
### Central Tendency
Choose the right measure of center based on the data:
| Situation | Use | Why |
|---|---|---|
| Symmetric distribution, no outliers | Mean | Most efficient estimator |
| Skewed distribution | Median | Robust to outliers |
| Categorical or ordinal data | Mode | Only option for non-numeric |View the complete source on GitHubsynthesize-research
When your agent uses it
Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
3,360 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Research Synthesis Methodology
- Interview Note Analysis
- Survey Data Interpretation
- Combining Qualitative and Quantitative Insights
- Persona Development from Research
- Opportunity Sizing
- Output Format
- Tips
Files
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# Synthesize Research
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Synthesize user research from multiple sources into structured insights and recommendations.
## Usage
```
/synthesize-research $ARGUMENTS
```
## Workflow
### 1. Gather Research InputsView the complete source on GitHubsystem-design
When your agent uses it
Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.
What it loads into context
Frontmatter
126 tokensAlways available to the agent
SKILL.md
350 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Framework
- Output
Files
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# System Design
Help design systems and evaluate architectural decisions.
## Framework
### 1. Requirements Gathering
- Functional requirements (what it does)
- Non-functional requirements (scale, latency, availability, cost)
- Constraints (team size, timeline, existing tech stack)
### 2. High-Level Design
- Component diagram
- Data flow
- API contractsView the complete source on GitHubtask-management
When your agent uses it
Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
716 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- File Location
- Dashboard Setup (First Run)
- Format & Template
- How to Interact
- Conventions
- Extracting Tasks
Files
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# Task Management
Tasks are tracked in a simple `TASKS.md` file that both you and the user can edit.
## File Location
**Always use `TASKS.md` in the current working directory.**
- If it exists, read/write to it
- If it doesn't exist, create it with the template below
## Dashboard Setup (First Run)
A visual dashboard is available for managing tasks and memory. **On first interaction with tasks:**
View the complete source on GitHubtech-debt
When your agent uses it
Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
412 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Categories
- Prioritization Framework
- Output
Files
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# Tech Debt Management
Systematically identify, categorize, and prioritize technical debt.
## Categories
| Type | Examples | Risk |
|------|----------|------|
| **Code debt** | Duplicated logic, poor abstractions, magic numbers | Bugs, slow development |
| **Architecture debt** | Monolith that should be split, wrong data store | Scaling limits |
| **Test debt** | Low coverage, flaky tests, missing integration tests | Regressions ship |
| **Dependency debt** | Outdated libraries, unmaintained dependencies | Security vulns |
| **Documentation debt** | Missing runbooks, outdated READMEs, tribal knowledge | Onboarding pain |
| **Infrastructure debt** | Manual deploys, no monitoring, no IaC | Incidents, slow recovery |
View the complete source on GitHubtesting-strategy
When your agent uses it
Design test strategies and test plans. Trigger with "how should we test", "test strategy for", "write tests for", "test plan", "what tests do we need", or when the user needs help with testing approaches, coverage, or test architecture.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
342 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Testing Pyramid
- Strategy by Component Type
- What to Cover
- Output
Files
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# Testing Strategy
Design effective testing strategies balancing coverage, speed, and maintenance.
## Testing Pyramid
```
/ E2E \ Few, slow, high confidence
/ Integration \ Some, medium speed
/ Unit Tests \ Many, fast, focused
```
## Strategy by Component Type
- **API endpoints**: Unit tests for business logic, integration tests for HTTP layer, contract tests for consumersView the complete source on GitHubticket-triage
When your agent uses it
Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
2,535 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Category Taxonomy
- Priority Framework
- Routing Rules
- Duplicate Detection
- Auto-Response Templates by Category
- Triage Best Practices
Files
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# /ticket-triage
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Categorize, prioritize, and route an incoming support ticket or customer issue. Produces a structured triage assessment with a suggested initial response.
## Usage
```
/ticket-triage <ticket text, customer message, or issue description>
```
Examples:
- `/ticket-triage Customer says their dashboard has been showing a blank page since this morning`
- `/ticket-triage "I was charged twice for my subscription this month"`View the complete source on GitHubtriage-nda
When your agent uses it
Rapidly triage an incoming NDA and classify it as GREEN (standard approval), YELLOW (counsel review), or RED (full legal review). Use when a new NDA arrives from sales or business development, when screening for embedded non-solicits, non-competes, or missing carveouts, or when deciding whether an NDA can be signed under standard delegation.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
3,204 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Common NDA Issues and Standard Positions
- Notes
Files
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# /triage-nda -- NDA Pre-Screening
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Triage the NDA: @$1
Rapidly triage incoming NDAs against standard screening criteria. Classify the NDA for routing: standard approval, counsel review, or full legal review.
**Important**: You assist with legal workflows but do not provide legal advice. All analysis should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/triage-nda
```View the complete source on GitHubupdate
When your agent uses it
Sync tasks and refresh memory from your current activity. Use when pulling new assignments from your project tracker into TASKS.md, triaging stale or overdue tasks, filling memory gaps for unknown people or projects, or running a comprehensive scan to catch todos buried in chat and email.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,286 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Default Mode
- Comprehensive Mode (`--comprehensive`)
- Notes
Files
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# Update Command
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-productivity.md).
Keep your task list and memory current. Two modes:
- **Default:** Sync tasks from external tools, triage stale items, check memory for gaps
- **`--comprehensive`:** Deep scan chat, email, calendar, docs — flag missed todos and suggest new memories
## Usage
```bash
/productivity:update
/productivity:update --comprehensive
```View the complete source on GitHubvalidate-data
When your agent uses it
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,329 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Pre-Delivery QA Checklist
- Common Data Analysis Pitfalls
- Result Sanity Checking
- Documentation Standards for Reproducibility
- Examples
- Tips
Files
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# /validate-data - Validate Analysis Before Sharing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions.
## Usage
```
/validate-data <analysis to review>
```
The analysis can be:
- A document or report in the conversation
- A file (markdown, notebook, spreadsheet)View the complete source on GitHubvariance-analysis
When your agent uses it
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,702 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Variance Decomposition Techniques
- Materiality Thresholds and Investigation Triggers
- Narrative Generation for Variance Explanations
- Waterfall Chart Methodology
- Budget vs Actual vs Forecast Comparisons
Files
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# Variance Analysis
**Important**: This skill assists with variance analysis workflows but does not provide financial advice. All analyses should be reviewed by qualified financial professionals before use in reporting.
Techniques for decomposing variances, materiality thresholds, narrative generation, waterfall chart methodology, and budget vs actual vs forecast comparisons.
## Variance Decomposition Techniques
### Price / Volume Decomposition
The most fundamental variance decomposition. Used for revenue, cost of goods, and any metric that can be expressed as Price x Volume.
**Formula:**
```
Total Variance = Actual - Budget (or Prior)View the complete source on GitHubvendor-check
When your agent uses it
Check the status of existing agreements with a vendor across all connected systems — CLM, CRM, email, and document storage — with gap analysis and upcoming deadlines. Use when onboarding or renewing a vendor, when you need a consolidated view of what's signed and what's missing (MSA, DPA, SOW), or when checking for approaching expirations and surviving obligations.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,348 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Notes
Files
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# /vendor-check -- Vendor Agreement Status
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Check the status of existing agreements with a vendor across all connected systems. Provides a consolidated view of the legal relationship.
**Important**: This command assists with legal workflows but does not provide legal advice. Agreement status reports should be verified against original documents by qualified legal professionals.
## Invocation
```
/vendor-check [vendor name]
```
If no vendor name is provided, prompt the user to specify which vendor to check.View the complete source on GitHubwrite-query
When your agent uses it
Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
1,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /write-query - Write Optimized SQL
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Write a SQL query from a natural language description, optimized for your specific SQL dialect and following best practices.
## Usage
```
/write-query <description of what data you need>
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubwrite-spec
When your agent uses it
Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
2,813 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- PRD Structure
- User Story Writing
- Requirements Categorization
- Success Metrics Definition
- Acceptance Criteria
- Scope Management
- Output Format
- Tips
Files
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# Write Spec
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Write a feature specification or product requirements document (PRD).
## Usage
```
/write-spec $ARGUMENTS
```
## Workflow
### 1. Understand the FeatureView the complete source on GitHubinstrument-data-to-allotrope
When your agent uses it
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.
What it loads into context
Frontmatter
214 tokensAlways available to the agent
SKILL.md
2,506 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow Overview
- Quick Start
- Output Format Selection
- Calculated Data Handling
- Validation
- Supported Instruments
- Detection & Parsing Strategy
- Pre-Parsing Checklist
- Common Mistakes to Avoid
- Code Export for Data Engineers
- File Structure
- Usage Examples
- Implementation Notes
Files
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# Instrument Data to Allotrope Converter
Convert instrument files into standardized Allotrope Simple Model (ASM) format for LIMS upload, data lakes, or handoff to data engineering teams.
> **Note: This is an Example Skill**
>
> This skill demonstrates how skills can support your data engineering tasks—automating schema transformations, parsing instrument outputs, and generating production-ready code.
>
> **To customize for your organization:**
> - Modify the `references/` files to include your company's specific schemas or ontology mappings
> - Use an MCP server to connect to systems that define your schemas (e.g., your LIMS, data catalog, or schema registry)
> - Extend the `scripts/` to handle proprietary instrument formats or internal data standards
>
> This pattern can be adapted for any data transformation workflow where you need to convert between formats or validate against organizational standards.
View the complete source on GitHubnextflow-development
When your agent uses it
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.
What it loads into context
Frontmatter
184 tokensAlways available to the agent
SKILL.md
2,439 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow Checklist
- Step 0: Acquire Data (GEO/SRA Only)
- Step 1: Environment Check
- Step 2: Select Pipeline
- Step 3: Run Test Profile
- Step 4: Create Samplesheet
- Step 5: Configure & Run
- Step 6: Verify Outputs
- Quick Reference
- References
- Disclaimer
- Attribution
- Licenses
Files
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# nf-core Pipeline Deployment
Run nf-core bioinformatics pipelines on local or public sequencing data.
**Target users:** Bench scientists and researchers without specialized bioinformatics training who need to run large-scale omics analyses—differential expression, variant calling, or chromatin accessibility analysis.
## Workflow Checklist
```
- [ ] Step 0: Acquire data (if from GEO/SRA)
- [ ] Step 1: Environment check (MUST pass)
- [ ] Step 2: Select pipeline (confirm with user)
- [ ] Step 3: Run test profile (MUST pass)
- [ ] Step 4: Create samplesheet
- [ ] Step 5: Configure & run (confirm genome with user)View the complete source on GitHubscientific-problem-selection
When your agent uses it
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
What it loads into context
Frontmatter
206 tokensAlways available to the agent
SKILL.md
2,637 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Getting Started
- Option 1: Pitch an Idea
- Option 2: Troubleshoot a Problem
- Option 3: Ask a Strategic Question
- Core Framework Concepts
- The 9 Skills Overview
- Skill Workflow
- Key Design Principles
- Who Should Use These Skills
- Reference Materials
- Expected Outcomes
- Foundational Reference
Files
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# Scientific Problem Selection Skills
A conversational framework for systematic scientific problem selection based on Fischbach & Walsh's "Problem choice and decision trees in science and engineering" (Cell, 2024).
## Getting Started
Present users with three entry points:
**1) Pitch an idea for a new project** — to work it up together
**2) Share a problem in a current project** — to troubleshoot together
**3) Ask a strategic question** — to navigate the decision tree together
This conversational entry meets scientists where they are and establishes a collaborative tone.View the complete source on GitHubscvi-tools
When your agent uses it
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
What it loads into context
Frontmatter
273 tokensAlways available to the agent
SKILL.md
1,943 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How to Use This Skill
- When to Use This Skill
- Model Selection Guide
- Workflow Reference Files
- CLI Scripts
- Critical Requirements
- Quick Decision Tree
- Key Resources
Files
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# scvi-tools Deep Learning Skill
This skill provides guidance for deep learning-based single-cell analysis using scvi-tools, the leading framework for probabilistic models in single-cell genomics.
## How to Use This Skill
1. Identify the appropriate workflow from the model/workflow tables below
2. Read the corresponding reference file for detailed steps and code
3. Use scripts in `scripts/` to avoid rewriting common code
4. For installation or GPU issues, consult `references/environment_setup.md`
5. For debugging, consult `references/troubleshooting.md`
## When to Use This Skill
- When scvi-tools, scVI, scANVI, or related models are mentionedView the complete source on GitHubsingle-cell-rna-qc
When your agent uses it
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,919 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- When to Use This Skill
- Approach 1: Complete QC Pipeline (Recommended for Standard Workflows)
- Approach 2: Modular Building Blocks (For Custom Workflows)
- Best Practices
- Reference Materials
- Next Steps After QC
Files
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# Single-Cell RNA-seq Quality Control
Automated QC workflow for single-cell RNA-seq data following scverse best practices.
## When to Use This Skill
Use when users:
- Request quality control or QC on single-cell RNA-seq data
- Want to filter low-quality cells or assess data quality
- Need QC visualizations or metrics
- Ask to follow scverse/scanpy best practices
- Request MAD-based filtering or outlier detection
**Supported input formats:**
- `.h5ad` files (AnnData format from scanpy/Python workflows)View the complete source on GitHubstart
When your agent uses it
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
846 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Step 1: Welcome
- Step 2: Check Available MCP Servers
- Step 3: Survey Available Skills
- Step 4: Optional Setup — Binary MCP Servers
- Step 5: Ask How to Help
Files
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# Bio-Research Start
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-bio-research.md).
You are helping a biological researcher get oriented with the bio-research plugin. Walk through the following steps in order.
## Step 1: Welcome
Display this welcome message:
```
Bio-Research Plugin
Your AI-powered research assistant for the life sciences. This plugin brings
together literature search, data analysis pipelines,View the complete source on GitHubcowork-plugin-customizer
When your agent uses it
> Customize a Claude Code plugin for a specific organization's tools and workflows. Use when: customize plugin, set up plugin, configure plugin, tailor plugin, adjust plugin settings, customize plugin connectors, customize plugin skill, tweak plugin, modify plugin configuration.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,185 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Determining the Customization Mode
- Customization Workflow
- Packaging the Plugin
- Summary Output
- Additional Resources
Files
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# Cowork Plugin Customization
Customize a plugin for a specific organization — either by setting up a generic plugin template for the first time, or by tweaking and refining an already-configured plugin.
> **Finding the plugin**: To find the plugin's source files, run `find mnt/.local-plugins mnt/.plugins -type d -name "*<plugin-name>*"` to locate the plugin directory, then read its files to understand its structure before making changes. If you cannot find the plugin directory, the user is likely running this conversation in a remote container. Abort and let them know: "Customizing plugins is currently only available in the desktop app's Cowork mode."
## Determining the Customization Mode
After locating the plugin, check for `~~`-prefixed placeholders: `grep -rn '~~\w' /path/to/plugin --include='*.md' --include='*.json'`
> **Default rule**: If `~~` placeholders exist, default to **Generic plugin setup** unless the user explicitly asks to customize a specific part of the plugin.
**1. Generic plugin setup** — The plugin contains `~~`-prefixed placeholders. These are customization points in a template that need to be replaced with real values (e.g., `~~Jira` → `Asana`, `~~your-team-channel` → `#engineering`).
**2. Scoped customization** — No `~~` placeholders exist, and the user asked to customize a specific part of the plugin (e.g., "customize the connectors", "update the standup skill", "change the ticket tool"). Read the plugin files to find the relevant section(s) and focus only on those. Do not scan the entire plugin or present unrelated customization items.View the complete source on GitHubcreate-cowork-plugin
When your agent uses it
> Guide users through creating a new plugin from scratch in a cowork session. Use when users want to create a plugin, build a plugin, make a new plugin, develop a plugin, scaffold a plugin, start a plugin from scratch, or design a plugin. This skill requires Cowork mode with access to the outputs directory for delivering the final .plugin file.
What it loads into context
Frontmatter
172 tokensAlways available to the agent
SKILL.md
2,957 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Overview
- Plugin Architecture
- Guided Workflow
- Best Practices
- Additional Resources
Files
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# Create Cowork Plugin
Build a new plugin from scratch through guided conversation. Walk the user through discovery, planning, design, implementation, and packaging — delivering a ready-to-install `.plugin` file at the end.
## Overview
A plugin is a self-contained directory that extends Claude's capabilities with skills, agents, hooks, and MCP server integrations. This skill encodes the full plugin architecture and a five-phase workflow for creating one conversationally.
The process:
1. **Discovery** — understand what the user wants to build
2. **Component Planning** — determine which component types are needed
3. **Design & Clarifying Questions** — specify each component in detail
4. **Implementation** — create all plugin files
5. **Review & Package** — deliver the `.plugin` fileView the complete source on GitHubcustomer-escalation
When your agent uses it
Package an escalation for engineering, product, or leadership with full context. Use when a bug needs engineering attention beyond normal support, multiple customers report the same issue, a customer is threatening to churn, or an issue has sat unresolved past its SLA.
What it loads into context
Frontmatter
158 tokensAlways available to the agent
SKILL.md
2,493 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- When to Escalate vs. Handle in Support
- Escalation Tiers
- Business Impact Assessment
- Writing Reproduction Steps
- Follow-up Cadence After Escalation
- De-escalation
- Escalation Best Practices
Files
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# /customer-escalation
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Package a support issue into a structured escalation brief for engineering, product, or leadership. Gathers context, structures reproduction steps, assesses business impact, and identifies the right escalation target.
## Usage
```
/customer-escalation <issue description> [customer name or account]
```
Examples:
- `/customer-escalation API returning 500 errors intermittently for Acme Corp`
- `/customer-escalation Data export is missing rows — 3 customers reported this week`View the complete source on GitHubcustomer-research
When your agent uses it
Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,199 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Source Prioritization and Confidence
- When to Escalate vs. Answer Directly
- Research Documentation for Team Knowledge Base
Files
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# /customer-research
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Multi-source research on a customer question, product topic, or account-related inquiry. Synthesizes findings from all available sources with clear attribution and confidence scoring.
## Usage
```
/customer-research <question or topic>
```
## Workflow
### 1. Parse the Research RequestView the complete source on GitHubdraft-response
When your agent uses it
Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,301 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Customer Communication Best Practices
- Tone and Style Guidelines
- Situation-Specific Approaches
- Response Templates for Common Scenarios
- Follow-up and Escalation Guidance
Files
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# /draft-response
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Draft a professional, customer-facing response tailored to the situation, customer relationship, and communication context.
## Usage
```
/draft-response <context about the customer question, issue, or request>
```
Examples:
- `/draft-response Acme Corp is asking when the new dashboard feature will ship`
- `/draft-response Customer escalation — their integration has been down for 2 days`View the complete source on GitHubkb-article
When your agent uses it
Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
2,809 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Article Structure and Formatting Standards
- Writing for Searchability
- Article Type Templates
- Review and Maintenance Cadence
- Linking and Categorization Taxonomy
- KB Writing Best Practices
Files
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# /kb-article
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Draft a publish-ready knowledge base article from a resolved support issue, common question, or documented workaround. Structures the content for searchability and self-service.
## Usage
```
/kb-article <resolved issue, ticket reference, or topic description>
```
Examples:
- `/kb-article How to configure SSO with Okta — resolved this for 3 customers last month`
- `/kb-article Ticket #4521 — customer couldn't export data over 10k rows`View the complete source on GitHubticket-triage
When your agent uses it
Triage and prioritize a support ticket or customer issue. Use when a new ticket comes in and needs categorization, assigning P1-P4 priority, deciding which team should handle it, or checking whether it's a duplicate or known issue before routing.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
2,535 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Category Taxonomy
- Priority Framework
- Routing Rules
- Duplicate Detection
- Auto-Response Templates by Category
- Triage Best Practices
Files
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# /ticket-triage
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-customer-support.md).
Categorize, prioritize, and route an incoming support ticket or customer issue. Produces a structured triage assessment with a suggested initial response.
## Usage
```
/ticket-triage <ticket text, customer message, or issue description>
```
Examples:
- `/ticket-triage Customer says their dashboard has been showing a blank page since this morning`
- `/ticket-triage "I was charged twice for my subscription this month"`View the complete source on GitHubanalyze
When your agent uses it
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
What it loads into context
Frontmatter
131 tokensAlways available to the agent
SKILL.md
1,032 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /analyze - Answer Data Questions
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Answer a data question, from a quick lookup to a full analysis to a formal report.
## Usage
```
/analyze <natural language question>
```
## Workflow
### 1. Understand the QuestionView the complete source on GitHubbuild-dashboard
When your agent uses it
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
6,177 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Base Template
- KPI Card Pattern
- Chart.js Integration
- Filter and Interactivity Implementation
- CSS Styling for Dashboards
- Performance Considerations for Large Datasets
- Examples
- Tips
Files
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# /build-dashboard - Build Interactive Dashboards
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Build a self-contained interactive HTML dashboard with charts, filters, tables, and professional styling. Opens directly in a browser -- no server or dependencies required.
## Usage
```
/build-dashboard <description of dashboard> [data source]
```
## Workflow
### 1. Understand the Dashboard RequirementsView the complete source on GitHubcreate-viz
When your agent uses it
Create publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,282 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /create-viz - Create Visualizations
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Create publication-quality data visualizations using Python. Generates charts from data with best practices for clarity, accuracy, and design.
## Usage
```
/create-viz <data source> [chart type] [additional instructions]
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubdata-context-extractor
When your agent uses it
> Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
What it loads into context
Frontmatter
265 tokensAlways available to the agent
SKILL.md
1,747 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Bootstrap Mode
- Iteration Mode
- Reference File Standards
- Quality Checklist
Files
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# Data Context Extractor
A meta-skill that extracts company-specific data knowledge from analysts and generates tailored data analysis skills.
## How It Works
This skill has two modes:
1. **Bootstrap Mode**: Create a new data analysis skill from scratch
2. **Iteration Mode**: Improve an existing skill by adding domain-specific reference files
---
## Bootstrap Mode
View the complete source on GitHubdata-visualization
When your agent uses it
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,903 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Chart Selection Guide
- Python Visualization Code Patterns
- Design Principles
- Accessibility Considerations
Files
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# Data Visualization Skill
Chart selection guidance, Python visualization code patterns, design principles, and accessibility considerations for creating effective data visualizations.
## Chart Selection Guide
### Choose by Data Relationship
| What You're Showing | Best Chart | Alternatives |
|---|---|---|
| **Trend over time** | Line chart | Area chart (if showing cumulative or composition) |
| **Comparison across categories** | Vertical bar chart | Horizontal bar (many categories), lollipop chart |
| **Ranking** | Horizontal bar chart | Dot plot, slope chart (comparing two periods) |
| **Part-to-whole composition** | Stacked bar chart | Treemap (hierarchical), waffle chart |
| **Composition over time** | Stacked area chart | 100% stacked bar (for proportion focus) |View the complete source on GitHubexplore-data
When your agent uses it
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to analyze.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
2,760 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Quality Assessment Framework
- Pattern Discovery Techniques
- Schema Understanding and Documentation
- Tips
Files
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# /explore-data - Profile and Explore a Dataset
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Generate a comprehensive data profile for a table or uploaded file. Understand its shape, quality, and patterns before diving into analysis.
## Usage
```
/explore-data <table_name or file>
```
## Workflow
### 1. Access the DataView the complete source on GitHubsql-queries
When your agent uses it
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or aggregations.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,004 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Dialect-Specific Reference
- Common SQL Patterns
- Error Handling and Debugging
Files
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# SQL Queries Skill
Write correct, performant, readable SQL across all major data warehouse dialects.
## Dialect-Specific Reference
### PostgreSQL (including Aurora, RDS, Supabase, Neon)
**Date/time:**
```sql
-- Current date/time
CURRENT_DATE, CURRENT_TIMESTAMP, NOW()
-- Date arithmetic
date_column + INTERVAL '7 days'View the complete source on GitHubstatistical-analysis
When your agent uses it
Apply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
2,520 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Descriptive Statistics Methodology
- Trend Analysis and Forecasting
- Outlier and Anomaly Detection
- Hypothesis Testing Basics
- When to Be Cautious About Statistical Claims
Files
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# Statistical Analysis Skill
Descriptive statistics, trend analysis, outlier detection, hypothesis testing, and guidance on when to be cautious about statistical claims.
## Descriptive Statistics Methodology
### Central Tendency
Choose the right measure of center based on the data:
| Situation | Use | Why |
|---|---|---|
| Symmetric distribution, no outliers | Mean | Most efficient estimator |
| Skewed distribution | Median | Robust to outliers |
| Categorical or ordinal data | Mode | Only option for non-numeric |View the complete source on GitHubvalidate-data
When your agent uses it
QA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
3,329 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output Format
- Pre-Delivery QA Checklist
- Common Data Analysis Pitfalls
- Result Sanity Checking
- Documentation Standards for Reproducibility
- Examples
- Tips
Files
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# /validate-data - Validate Analysis Before Sharing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Review an analysis for accuracy, methodology, and potential biases before sharing with stakeholders. Generates a confidence assessment and improvement suggestions.
## Usage
```
/validate-data <analysis to review>
```
The analysis can be:
- A document or report in the conversation
- A file (markdown, notebook, spreadsheet)View the complete source on GitHubwrite-query
When your agent uses it
Write optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake, BigQuery, Postgres, etc.
What it loads into context
Frontmatter
161 tokensAlways available to the agent
SKILL.md
1,164 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Examples
- Tips
Files
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# /write-query - Write Optimized SQL
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-data.md).
Write a SQL query from a natural language description, optimized for your specific SQL dialect and following best practices.
## Usage
```
/write-query <description of what data you need>
```
## Workflow
### 1. Understand the RequestView the complete source on GitHubarchitecture
When your agent uses it
Create or evaluate an architecture decision record (ADR). Use when choosing between technologies (e.g., Kafka vs SQS), documenting a design decision with trade-offs and consequences, reviewing a system design proposal, or designing a new component from requirements and constraints.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
633 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Modes
- Output — ADR Format
- If Connectors Available
- Tips
Files
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# /architecture
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Create an Architecture Decision Record (ADR) or evaluate a system design.
## Usage
```
/architecture $ARGUMENTS
```
## Modes
**Create an ADR**: "Should we use Kafka or SQS for our event bus?"View the complete source on GitHubcode-review
When your agent uses it
Review code changes for security, performance, and correctness. Trigger with a PR URL or diff, "review this before I merge", "is this code safe?", or when checking a change for N+1 queries, injection risks, missing edge cases, or error handling gaps.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
912 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- Review Dimensions
- Output
- If Connectors Available
- Tips
Files
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# /code-review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Review code changes with a structured lens on security, performance, correctness, and maintainability.
## Usage
```
/code-review <PR URL or file path>
```
Review the provided code changes: @$1
If no specific file or URL is provided, ask what to review.View the complete source on GitHubdebug
When your agent uses it
Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- If Connectors Available
- Tips
Files
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# /debug
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Run a structured debugging session to find and fix issues systematically.
## Usage
```
/debug $ARGUMENTS
```
## How It Works
```View the complete source on GitHubdeploy-checklist
When your agent uses it
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and approvals before going to production, or documenting rollback triggers ahead of time.
What it loads into context
Frontmatter
134 tokensAlways available to the agent
SKILL.md
627 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Output
- Customization
- If Connectors Available
- Tips
Files
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# /deploy-checklist
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Generate a pre-deployment checklist to verify readiness before shipping.
## Usage
```
/deploy-checklist $ARGUMENTS
```
## Output
```markdownView the complete source on GitHubdocumentation
When your agent uses it
Write and maintain technical documentation. Trigger with "write docs for", "document this", "create a README", "write a runbook", "onboarding guide", or when the user needs help with any form of technical writing — API docs, architecture docs, or operational runbooks.
What it loads into context
Frontmatter
123 tokensAlways available to the agent
SKILL.md
394 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Document Types
- Principles
Files
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# Technical Documentation
Write clear, maintainable technical documentation for different audiences and purposes.
## Document Types
### README
- What this is and why it exists
- Quick start (< 5 minutes to first success)
- Configuration and usage
- Contributing guide
### API Documentation
- Endpoint reference with request/response examples
- Authentication and error codesView the complete source on GitHubincident-response
When your agent uses it
Run an incident response workflow — triage, communicate, and write postmortem. Trigger with "we have an incident", "production is down", an alert that needs severity assessment, a status update mid-incident, or when writing a blameless postmortem after resolution.
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,203 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Modes
- How It Works
- Severity Classification
- Communication Guidance
- Output — Status Update
- Output — Postmortem
- If Connectors Available
- Tips
Files
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# /incident-response
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Manage an incident from detection through postmortem.
## Usage
```
/incident-response $ARGUMENTS
```
## Modes
```View the complete source on GitHubstandup
When your agent uses it
Generate a standup update from recent activity. Use when preparing for daily standup, summarizing yesterday's commits and PRs and ticket moves, formatting work into yesterday/today/blockers, or structuring a few rough notes into a shareable update.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
665 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- What I Need From You
- Output
- If Connectors Available
- Tips
Files
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# /standup
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-engineering.md).
Generate a standup update by pulling together recent activity across your tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ STANDUP │
├─────────────────────────────────────────────────────────────────┤
│ STANDALONE (always works) │
│ ✓ Tell me what you worked on and I'll structure it │
│ ✓ Format for daily standup (yesterday / today / blockers) │View the complete source on GitHubsystem-design
When your agent uses it
Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.
What it loads into context
Frontmatter
126 tokensAlways available to the agent
SKILL.md
350 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Framework
- Output
Files
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# System Design
Help design systems and evaluate architectural decisions.
## Framework
### 1. Requirements Gathering
- Functional requirements (what it does)
- Non-functional requirements (scale, latency, availability, cost)
- Constraints (team size, timeline, existing tech stack)
### 2. High-Level Design
- Component diagram
- Data flow
- API contractsView the complete source on GitHubtech-debt
When your agent uses it
Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.
What it loads into context
Frontmatter
132 tokensAlways available to the agent
SKILL.md
412 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Categories
- Prioritization Framework
- Output
Files
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# Tech Debt Management
Systematically identify, categorize, and prioritize technical debt.
## Categories
| Type | Examples | Risk |
|------|----------|------|
| **Code debt** | Duplicated logic, poor abstractions, magic numbers | Bugs, slow development |
| **Architecture debt** | Monolith that should be split, wrong data store | Scaling limits |
| **Test debt** | Low coverage, flaky tests, missing integration tests | Regressions ship |
| **Dependency debt** | Outdated libraries, unmaintained dependencies | Security vulns |
| **Documentation debt** | Missing runbooks, outdated READMEs, tribal knowledge | Onboarding pain |
| **Infrastructure debt** | Manual deploys, no monitoring, no IaC | Incidents, slow recovery |
View the complete source on GitHubtesting-strategy
When your agent uses it
Design test strategies and test plans. Trigger with "how should we test", "test strategy for", "write tests for", "test plan", "what tests do we need", or when the user needs help with testing approaches, coverage, or test architecture.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
342 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Testing Pyramid
- Strategy by Component Type
- What to Cover
- Output
Files
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# Testing Strategy
Design effective testing strategies balancing coverage, speed, and maintenance.
## Testing Pyramid
```
/ E2E \ Few, slow, high confidence
/ Integration \ Some, medium speed
/ Unit Tests \ Many, fast, focused
```
## Strategy by Component Type
- **API endpoints**: Unit tests for business logic, integration tests for HTTP layer, contract tests for consumersView the complete source on GitHubaudit-support
When your agent uses it
Support SOX 404 compliance with control testing methodology, sample selection, and documentation standards. Use when generating testing workpapers, selecting audit samples, classifying control deficiencies, or preparing for internal or external audits.
What it loads into context
Frontmatter
128 tokensAlways available to the agent
SKILL.md
3,370 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- SOX 404 Control Testing Methodology
- Sample Selection Approaches
- Testing Documentation Standards
- Control Deficiency Classification
- Common Control Types
Files
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# Audit Support
**Important**: This skill assists with SOX compliance workflows but does not provide audit or legal advice. All testing workpapers and assessments should be reviewed by qualified financial professionals. While "significance" and "materiality" are context-specific concepts that are ultimately assessed by auditors, this skill is intended to assist professionals in the creation and evaluation of effective internal controls and documentation for audits.
SOX 404 control testing methodology, sample selection approaches, testing documentation standards, control deficiency classification, and common control types.
## SOX 404 Control Testing Methodology
### Overview
SOX Section 404 requires management to assess the effectiveness of internal controls over financial reporting (ICFR). This involves:
1. **Scoping:** Identify significant accounts and relevant assertions
2. **Risk assessment:** Evaluate the risk of material misstatement for each significant account
3. **Control identification:** Document the controls that address each riskView the complete source on GitHubclose-management
When your agent uses it
Manage the month-end close process with task sequencing, dependencies, and status tracking. Use when planning the close calendar, tracking close progress, identifying blockers, or sequencing close activities by day.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
2,215 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Month-End Close Checklist
- Task Sequencing and Dependencies
- Status Tracking and Reporting
- Common Close Activities by Day
- Close Process Improvement
Files
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# Close Management
**Important**: This skill assists with close management workflows but does not provide financial advice. All close activities should be reviewed by qualified financial professionals.
Month-end close checklist, task sequencing and dependencies, status tracking, and common close activities organized by day.
## Month-End Close Checklist
### Pre-Close (Last 2-3 Business Days of the Month)
- [ ] Send close calendar and deadline reminders to all contributors
- [ ] Confirm cut-off procedures with AP, AR, payroll, and treasury
- [ ] Verify all sub-systems are processing normally (ERP, payroll, banking)
- [ ] Complete preliminary bank reconciliation (all but last-day activity)
- [ ] Review open purchase orders for potential accrual needsView the complete source on GitHubfinancial-statements
When your agent uses it
Generate financial statements (income statement, balance sheet, cash flow) with period-over-period comparison and variance analysis. Use when preparing a monthly or quarterly P&L, closing the books and need to flag material variances, comparing actuals to budget, building a financial summary for leadership review, or looking up GAAP presentation requirements and period-end adjustments.
What it loads into context
Frontmatter
170 tokensAlways available to the agent
SKILL.md
3,438 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- GAAP Presentation Requirements
- Balance Sheet Reference Format
- Cash Flow Statement Reference Format (Indirect Method)
- Common Adjustments and Reclassifications
Files
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# /financial-statements
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with financial statement workflows but does not provide financial advice. All statements should be reviewed by qualified financial professionals before use in reporting or filings.
Generate financial statements with period-over-period comparison and variance analysis. The workflow below walks through income statement generation; balance sheet and cash flow statement reference formats, GAAP presentation requirements (ASC 220/210/230), and common period-end adjustments are included as supporting reference material.
## Usage
```
/financial-statements <period-type> <period>
```
### ArgumentsView the complete source on GitHubjournal-entry
When your agent uses it
Prepare journal entries with proper debits, credits, and supporting detail. Use when booking month-end accruals (AP, payroll, prepaid), recording depreciation or amortization, posting revenue recognition or deferred revenue adjustments, or documenting an entry for audit review.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,229 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
Files
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# Journal Entry Preparation
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.
Prepare journal entries with proper debits, credits, supporting detail, and review documentation.
## Usage
```
/je <type> <period>
```
### ArgumentsView the complete source on GitHubjournal-entry-prep
When your agent uses it
Prepare journal entries with proper debits, credits, and supporting documentation for month-end close. Use when booking accruals, prepaid amortization, fixed asset depreciation, payroll entries, revenue recognition, or any manual journal entry.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,686 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Standard Accrual Types and Their Entries
- Supporting Documentation Requirements
- Review and Approval Workflows
- Common Errors to Check For
Files
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# Journal Entry Preparation
**Important**: This skill assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.
Best practices, standard entry types, documentation requirements, and review workflows for journal entry preparation.
## Standard Accrual Types and Their Entries
### Accounts Payable Accruals
Accrue for goods or services received but not yet invoiced at period end.
**Typical entry:**
- Debit: Expense account (or capitalize if asset-qualifying)
- Credit: Accrued liabilitiesView the complete source on GitHubreconciliation
When your agent uses it
Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
1,783 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Reconciliation Types
- Reconciling Item Categorization
- Aging Analysis for Outstanding Items
- Escalation Thresholds
- Reconciliation Best Practices
Files
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# Reconciliation
**Important**: This skill assists with reconciliation workflows but does not provide financial advice. All reconciliations should be reviewed by qualified financial professionals before sign-off.
Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation.
## Reconciliation Types
### GL to Subledger Reconciliation
Compare the general ledger control account balance to the detailed subledger balance.
**Common accounts:**
- Accounts receivable (GL control vs AR subledger aging)
- Accounts payable (GL control vs AP subledger aging)View the complete source on GitHubsox-testing
When your agent uses it
Generate SOX sample selections, testing workpapers, and control assessments. Use when planning quarterly or annual SOX 404 testing, pulling a sample for a control (revenue, P2P, ITGC, close), building a testing workpaper template, or evaluating and classifying a control deficiency.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
2,104 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
Files
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# SOX Compliance Testing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-finance.md).
**Important**: This command assists with SOX compliance workflows but does not provide audit or legal advice. All testing workpapers and assessments should be reviewed by qualified financial professionals before use in audit documentation.
Generate sample selections, create testing workpapers, document control assessments, and provide testing templates for SOX 404 internal controls over financial reporting.
## Usage
```
/sox <control-area> <period>
```
### ArgumentsView the complete source on GitHubvariance-analysis
When your agent uses it
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,702 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Variance Decomposition Techniques
- Materiality Thresholds and Investigation Triggers
- Narrative Generation for Variance Explanations
- Waterfall Chart Methodology
- Budget vs Actual vs Forecast Comparisons
Files
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# Variance Analysis
**Important**: This skill assists with variance analysis workflows but does not provide financial advice. All analyses should be reviewed by qualified financial professionals before use in reporting.
Techniques for decomposing variances, materiality thresholds, narrative generation, waterfall chart methodology, and budget vs actual vs forecast comparisons.
## Variance Decomposition Techniques
### Price / Volume Decomposition
The most fundamental variance decomposition. Used for revenue, cost of goods, and any metric that can be expressed as Price x Volume.
**Formula:**
```
Total Variance = Actual - Budget (or Prior)View the complete source on GitHubbrief
When your agent uses it
Generate contextual briefings for legal work — daily summary, topic research, or incident response. Use when starting your day and need a scan of legal-relevant items across email, calendar, and contracts, when researching a specific legal question across internal sources, or when a developing situation (data breach, litigation threat, regulatory inquiry) needs rapid context.
What it loads into context
Frontmatter
171 tokensAlways available to the agent
SKILL.md
1,508 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Modes
- General Notes
Files
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# /brief -- Legal Team Briefing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Generate contextual briefings for legal work. Supports three modes: daily brief, topic brief, and incident brief.
**Important**: This command assists with legal workflows but does not provide legal advice. Briefings should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/brief daily # Morning brief of legal-relevant items
/brief topic [query] # Research brief on a specific legal question
/brief incident [topic] # Rapid brief on a developing situation
```View the complete source on GitHubcompliance-check
When your agent uses it
Run a compliance check on a proposed action, product feature, or business initiative, surfacing applicable regulations, required approvals, and risk areas. Use when launching a feature that touches personal data, when marketing or product proposes something with regulatory implications, or when you need to know which approvals and jurisdictional requirements apply before proceeding.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
3,116 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- What I Need From You
- Output
- Privacy Regulation Overview
- DPA Review Checklist
- Data Subject Request Handling
- Regulatory Monitoring Basics
- Tips
Files
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# /compliance-check -- Compliance Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Run a compliance check on a proposed action, product feature, marketing campaign, or business initiative.
**Important**: This command assists with legal workflows but does not provide legal advice. Compliance assessments should be reviewed by qualified legal professionals. Regulatory requirements change frequently; always verify current requirements with authoritative sources.
## Usage
```
/compliance-check $ARGUMENTS
```
## What I Need From YouView the complete source on GitHublegal-response
When your agent uses it
Generate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply. Use when responding to data subject requests, litigation hold notices, vendor legal questions, NDA requests from business teams, or subpoenas.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
3,435 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Response Categories
- Template Management Methodology
- Template Creation Guide
- Output Format
- Notes
Files
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# /legal-response -- Generate Response from Templates
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Generate a response to a common legal inquiry using configured templates. Customizes the response with specific details and includes escalation triggers for situations that should not use a templated response.
**Important**: This command assists with legal workflows but does not provide legal advice. Generated responses should be reviewed by qualified legal professionals before being sent, especially for regulated communications.
## Invocation
```
/legal-response [inquiry-type]
```
Common inquiry types:View the complete source on GitHublegal-risk-assessment
When your agent uses it
Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,763 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Risk Assessment Framework
- Risk Classification Levels with Recommended Actions
- Documentation Standards for Risk Assessments
- When to Escalate to Outside Counsel
Files
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# Legal Risk Assessment Skill
You are a legal risk assessment assistant for an in-house legal team. You help evaluate, classify, and document legal risks using a structured framework based on severity and likelihood.
**Important**: You assist with legal workflows but do not provide legal advice. Risk assessments should be reviewed by qualified legal professionals. The framework provided is a starting point that organizations should customize to their specific risk appetite and industry context.
## Risk Assessment Framework
### Severity x Likelihood Matrix
Legal risks are assessed on two dimensions:
**Severity** (impact if the risk materializes):
| Level | Label | Description |View the complete source on GitHubmeeting-briefing
When your agent uses it
Prepare structured briefings for meetings with legal relevance and track resulting action items. Use when preparing for contract negotiations, board meetings, compliance reviews, or any meeting where legal context, background research, or action tracking is needed.
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
2,051 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Meeting Prep Methodology
- Briefing Template
- Meeting-Type Specific Guidance
- Action Item Tracking
Files
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# Meeting Briefing Skill
You are a meeting preparation assistant for an in-house legal team. You gather context from connected sources, prepare structured briefings for meetings with legal relevance, and help track action items that arise from meetings.
**Important**: You assist with legal workflows but do not provide legal advice. Meeting briefings should be reviewed for accuracy and completeness before use.
## Meeting Prep Methodology
### Step 1: Identify the Meeting
Determine the meeting context from the user's request or calendar:
- **Meeting title and type**: What kind of meeting is this? (deal review, board meeting, vendor call, team sync, client meeting, regulatory discussion)
- **Participants**: Who will be attending? What are their roles and interests?
- **Agenda**: Is there a formal agenda? What topics will be covered?
- **Your role**: What is the legal team member's role in this meeting? (advisor, presenter, observer, negotiator)View the complete source on GitHubreview-contract
When your agent uses it
Review a contract against your organization's negotiation playbook — flag deviations, generate redlines, provide business impact analysis. Use when reviewing vendor or customer agreements, when you need clause-by-clause analysis against standard positions, or when preparing a negotiation strategy with prioritized redlines and fallback positions.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
3,537 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Output Format
- Notes
Files
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# /review-contract -- Contract Review Against Playbook
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Review a contract against your organization's negotiation playbook. Analyze each clause, flag deviations, generate redline suggestions, and provide business impact analysis.
**Important**: You assist with legal workflows but do not provide legal advice. All analysis should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/review-contract <contract file or URL>
```
Review the contract: @$1View the complete source on GitHubsignature-request
When your agent uses it
Prepare and route a document for e-signature — run a pre-signature checklist, configure signing order, and send for execution. Use when a contract is finalized and ready to sign, when verifying entity names, exhibits, and signature blocks before sending, or when setting up an envelope with sequential or parallel signers.
What it loads into context
Frontmatter
162 tokensAlways available to the agent
SKILL.md
877 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Output
- Tips
Files
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# /signature-request -- E-Signature Routing
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Prepare a document for electronic signature — verify completeness, set signing order, and route for execution.
**Important**: This command assists with legal workflows but does not provide legal advice. Verify documents are in final form before sending for signature.
## Usage
```
/signature-request $ARGUMENTS
```
Prepare for signature: @$1View the complete source on GitHubtriage-nda
When your agent uses it
Rapidly triage an incoming NDA and classify it as GREEN (standard approval), YELLOW (counsel review), or RED (full legal review). Use when a new NDA arrives from sales or business development, when screening for embedded non-solicits, non-competes, or missing carveouts, or when deciding whether an NDA can be signed under standard delegation.
What it loads into context
Frontmatter
180 tokensAlways available to the agent
SKILL.md
3,204 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Common NDA Issues and Standard Positions
- Notes
Files
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# /triage-nda -- NDA Pre-Screening
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Triage the NDA: @$1
Rapidly triage incoming NDAs against standard screening criteria. Classify the NDA for routing: standard approval, counsel review, or full legal review.
**Important**: You assist with legal workflows but do not provide legal advice. All analysis should be reviewed by qualified legal professionals before being relied upon.
## Invocation
```
/triage-nda
```View the complete source on GitHubvendor-check
When your agent uses it
Check the status of existing agreements with a vendor across all connected systems — CLM, CRM, email, and document storage — with gap analysis and upcoming deadlines. Use when onboarding or renewing a vendor, when you need a consolidated view of what's signed and what's missing (MSA, DPA, SOW), or when checking for approaching expirations and surviving obligations.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,348 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Invocation
- Workflow
- Notes
Files
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# /vendor-check -- Vendor Agreement Status
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-legal.md).
Check the status of existing agreements with a vendor across all connected systems. Provides a consolidated view of the legal relationship.
**Important**: This command assists with legal workflows but does not provide legal advice. Agreement status reports should be verified against original documents by qualified legal professionals.
## Invocation
```
/vendor-check [vendor name]
```
If no vendor name is provided, prompt the user to specify which vendor to check.View the complete source on GitHubbrand-review
When your agent uses it
Review content against your brand voice, style guide, and messaging pillars, flagging deviations by severity with specific before/after fixes. Use when checking a draft before it ships, when auditing copy for voice consistency and terminology, or when screening for unsubstantiated claims, missing disclaimers, and other legal flags.
What it loads into context
Frontmatter
156 tokensAlways available to the agent
SKILL.md
2,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Review Process
- Brand Voice Reference
- Output Format
- After Review
Files
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# Brand Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Review marketing content against brand voice, style guidelines, and messaging standards. Flag deviations and provide specific improvement suggestions.
## Trigger
User runs `/brand-review` or asks to review, check, or audit content against brand guidelines.
## Inputs
1. **Content to review** — accept content in any of these forms:
- Pasted directly into the conversation
- A file path or ~~knowledge base reference (e.g. Notion page, shared doc)View the complete source on GitHubcampaign-plan
When your agent uses it
Generate a full campaign brief with objectives, audience, messaging, channel strategy, content calendar, and success metrics. Use when planning a product launch, lead-gen push, or awareness campaign, when you need a week-by-week content calendar with dependencies, or when translating a marketing goal into a structured, executable plan.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
3,124 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Campaign Brief Structure
- Planning Reference
- Output
Files
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# Campaign Plan
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate a comprehensive marketing campaign brief with objectives, audience, messaging, channel strategy, content calendar, and success metrics.
## Trigger
User runs `/campaign-plan` or asks to plan, design, or build a marketing campaign.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Campaign goal** — the primary objective (e.g., drive signups, increase awareness, launch a product, generate leads, re-engage churned users)View the complete source on GitHubcompetitive-brief
When your agent uses it
Research competitors and generate a positioning and messaging comparison with content gaps, opportunities, and threats. Use when building sales battlecards, when finding positioning gaps and messaging angles competitors haven't claimed, or when a competitor makes a move and you need to assess the impact.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
2,919 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Research Process
- Competitive Brief Structure
- Analysis Frameworks
- Output
Files
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# Competitive Brief
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Research competitors and generate a structured competitive analysis comparing positioning, messaging, content strategy, and market presence.
## Trigger
User runs `/competitive-brief` or asks for a competitive analysis, competitor research, or market comparison.
## Inputs
Gather the following from the user:
1. **Competitor name(s)** — one or more competitors to analyze (required)View the complete source on GitHubcontent-creation
When your agent uses it
Draft marketing content across channels — blog posts, social media, email newsletters, landing pages, press releases, and case studies. Use when writing any marketing content, when you need channel-specific formatting, SEO-optimized copy, headline options, or calls to action.
What it loads into context
Frontmatter
139 tokensAlways available to the agent
SKILL.md
2,119 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Content Type Templates
- Writing Best Practices by Channel
- SEO Fundamentals for Content
- Headline and Hook Formulas
- Call-to-Action Best Practices
Files
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# Content Creation Skill
Guidelines and frameworks for creating effective marketing content across channels.
## Content Type Templates
### Blog Post Structure
1. **Headline** — clear, benefit-driven, includes primary keyword (aim for 60 characters or less for SEO)
2. **Introduction** (100-150 words) — hook the reader with a question, statistic, bold claim, or relatable scenario. State what the post will cover. Include primary keyword.
3. **Body sections** (3-5 sections) — each with a descriptive subheading (H2). Use H3 for subsections. One core idea per section with supporting evidence, examples, or data.
4. **Conclusion** (75-100 words) — summarize key takeaways, reinforce the main message, include a call to action.
5. **Meta description** — under 160 characters, includes primary keyword, compels the click.
### Social Media Post Structure
- **Hook** — first line grabs attention (question, bold statement, number)View the complete source on GitHubdraft-content
When your agent uses it
Draft blog posts, social media, email newsletters, landing pages, press releases, and case studies with channel-specific formatting and SEO recommendations. Use when writing any marketing content, when you need headline or subject line options, or when adapting a message for a specific platform, audience, and brand voice.
What it loads into context
Frontmatter
155 tokensAlways available to the agent
SKILL.md
1,066 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Brand Voice
- Content Generation by Type
- SEO Considerations (for web content)
- Output
Files
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# Draft Content
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate marketing content drafts tailored to a specific content type, audience, and brand voice.
## Trigger
User runs `/draft-content` or asks to draft, write, or create marketing content.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Content type** — one of:View the complete source on GitHubemail-sequence
When your agent uses it
Design and draft multi-email sequences with full copy, timing, branching logic, exit conditions, and performance benchmarks. Use when building onboarding, lead nurture, re-engagement, win-back, or product launch flows, when you need a complete drip campaign with A/B test suggestions, or when mapping a sequence end-to-end with a flow diagram.
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
2,461 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Process
- Sequence Type Templates
- Tool Integration
- Output
- After the Sequence
Files
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# Email Sequence
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Design and draft complete email sequences with full copy, timing, branching logic, and performance benchmarks for any lifecycle or campaign use case.
## Trigger
User runs `/email-sequence` or asks to create, design, build, or draft an email sequence, drip campaign, nurture flow, or onboarding series.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **Sequence type** — one of:View the complete source on GitHubperformance-report
When your agent uses it
Build a marketing performance report with key metrics, trend analysis, wins and misses, and prioritized optimization recommendations. Use when wrapping a campaign, when preparing weekly, monthly, or quarterly channel summaries for stakeholders, or when you need data translated into an executive summary with next-period priorities.
What it loads into context
Frontmatter
151 tokensAlways available to the agent
SKILL.md
4,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Report Structure
- Metric Definitions and Benchmarks
- Reporting Templates by Cadence
- Trend Analysis and Forecasting
- Attribution Modeling Basics
- Optimization Recommendations Framework
- Output Formatting
- After the Report
Files
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# Performance Report
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Generate a marketing performance report with key metrics, trend analysis, insights, and optimization recommendations.
## Trigger
User runs `/performance-report` or asks for a marketing report, performance analysis, campaign results, or metrics summary.
## Inputs
1. **Report type** — determine which type of report the user needs:
- **Campaign report** — performance of a specific campaign
- **Channel report** — performance across a specific channel (email, social, paid, SEO, etc.)View the complete source on GitHubseo-audit
When your agent uses it
Run a comprehensive SEO audit — keyword research, on-page analysis, content gaps, technical checks, and competitor comparison. Use when assessing a site's SEO health, when finding keyword opportunities and content gaps competitors own, or when you need a prioritized action plan split into quick wins and strategic investments.
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
2,057 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Trigger
- Inputs
- Process
- Output
- Follow-Up
Files
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# /seo-audit
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-marketing.md).
Audit a website's SEO health, research keyword opportunities, identify content gaps, and benchmark against competitors. Produces a prioritized action plan a marketer can execute immediately.
## Trigger
User runs `/seo-audit` or asks for an SEO audit, keyword research, content gap analysis, technical SEO check, or competitor SEO comparison.
## Inputs
Gather the following from the user. If not provided, ask before proceeding:
1. **URL or domain** — the site to audit, or a topic/keyword if running in keyword research modeView the complete source on GitHubcompetitive-brief
When your agent uses it
Create a competitive analysis brief for one or more competitors or a feature area. Use when informing product strategy or feature prioritization, building sales battle cards, prepping board or investor materials, or deciding where to differentiate vs. achieve parity.
What it loads into context
Frontmatter
147 tokensAlways available to the agent
SKILL.md
3,146 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Competitive Landscape Mapping
- Feature Comparison Matrices
- Positioning Analysis Frameworks
- Win/Loss Analysis Methodology
- Market Trend Identification
- Output Format
- Tips
Files
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# Competitive Brief
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Create a competitive analysis brief for one or more competitors or a feature area.
## Usage
```
/competitive-brief $ARGUMENTS
```
## Workflow
### 1. Scope the AnalysisView the complete source on GitHubmetrics-review
When your agent uses it
Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
4,018 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Product Metrics Hierarchy
- Common Product Metrics
- Goal Setting Frameworks
- Metric Review Cadences
- Dashboard Design Principles
- Output Format
- Tips
Files
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# Metrics Review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Review and analyze product metrics, identify trends, and surface actionable insights.
## Usage
```
/metrics-review $ARGUMENTS
```
## Workflow
### 1. Gather Metrics DataView the complete source on GitHubproduct-brainstorming
When your agent uses it
Brainstorm product ideas, explore problem spaces, and challenge assumptions as a thinking partner. Use when exploring a new opportunity, generating solutions to a product problem, stress-testing an idea, or when a PM needs to think out loud with a sharp sparring partner before converging on a direction.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
3,583 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Brainstorming Modes
- Brainstorming Frameworks
- Session Structure
- Being a Good Thinking Partner
- Common Brainstorming Anti-Patterns
Files
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# Product Brainstorming Skill
You are a sharp product thinking partner — the kind of experienced PM or design lead who challenges assumptions, asks the hard questions, and pushes ideas further before anyone converges too early. You help product managers explore problem spaces, generate ideas, and stress-test thinking before it becomes a spec.
Your job is not to generate deliverables. Your job is to think alongside the PM. Be opinionated. Push back. Bring in unexpected angles. Help them arrive at ideas they would not have reached alone.
## Brainstorming Modes
Different situations call for different modes of thinking. Identify which mode fits the conversation and adapt. You can shift between modes as the conversation evolves.
### Problem Exploration
Use when the PM has a problem area but has not yet defined what to solve. The goal is to understand the problem space deeply before jumping to solutions.
**What to do:**View the complete source on GitHubroadmap-update
When your agent uses it
Update, create, or reprioritize your product roadmap. Use when adding a new initiative and deciding what moves to make room, shifting priorities after new information comes in, moving timelines due to a dependency slip, or building a Now/Next/Later view from scratch.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
2,778 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Roadmap Frameworks
- Prioritization Frameworks
- Dependency Mapping
- Capacity Planning
- Communicating Roadmap Changes
- Output Format
- Tips
Files
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# Roadmap Update
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Update, create, or reprioritize a product roadmap.
## Usage
```
/roadmap-update $ARGUMENTS
```
## Workflow
### 1. Understand Current StateView the complete source on GitHubsprint-planning
When your agent uses it
Plan a sprint — scope work, estimate capacity, set goals, and draft a sprint plan. Use when kicking off a new sprint, sizing a backlog against team availability (accounting for PTO and meetings), deciding what's P0 vs. stretch, or handling carryover from the last sprint.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
949 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Tips
Files
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# /sprint-planning
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Plan a sprint by scoping work, estimating capacity, and setting clear goals.
## Usage
```
/sprint-planning $ARGUMENTS
```
## How It Works
```View the complete source on GitHubstakeholder-update
When your agent uses it
Generate a stakeholder update tailored to audience and cadence. Use when writing a weekly or monthly status for leadership, announcing a launch, escalating a risk or blocker, or translating the same progress into exec-brief, engineering-detail, or customer-facing versions.
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,335 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Update Templates by Audience
- Status Reporting Framework
- Risk Communication
- Decision Documentation (ADRs)
- Meeting Facilitation
- Output Format
- Tips
Files
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# Stakeholder Update
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Generate a stakeholder update tailored to the audience and cadence.
## Usage
```
/stakeholder-update $ARGUMENTS
```
## Workflow
### 1. Determine Update TypeView the complete source on GitHubsynthesize-research
When your agent uses it
Synthesize user research from interviews, surveys, and feedback into structured insights. Use when you have a pile of interview notes, survey responses, or support tickets to make sense of, need to extract themes and rank findings by frequency and impact, or want to turn raw feedback into roadmap recommendations.
What it loads into context
Frontmatter
163 tokensAlways available to the agent
SKILL.md
3,360 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- Research Synthesis Methodology
- Interview Note Analysis
- Survey Data Interpretation
- Combining Qualitative and Quantitative Insights
- Persona Development from Research
- Opportunity Sizing
- Output Format
- Tips
Files
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# Synthesize Research
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Synthesize user research from multiple sources into structured insights and recommendations.
## Usage
```
/synthesize-research $ARGUMENTS
```
## Workflow
### 1. Gather Research InputsView the complete source on GitHubwrite-spec
When your agent uses it
Write a feature spec or PRD from a problem statement or feature idea. Use when turning a vague idea or user request into a structured document, scoping a feature with goals and non-goals, defining success metrics and acceptance criteria, or breaking a big ask into a phased spec.
What it loads into context
Frontmatter
153 tokensAlways available to the agent
SKILL.md
2,813 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Workflow
- PRD Structure
- User Story Writing
- Requirements Categorization
- Success Metrics Definition
- Acceptance Criteria
- Scope Management
- Output Format
- Tips
Files
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# Write Spec
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-product-management.md).
Write a feature specification or product requirements document (PRD).
## Usage
```
/write-spec $ARGUMENTS
```
## Workflow
### 1. Understand the FeatureView the complete source on GitHubmemory-management
When your agent uses it
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
What it loads into context
Frontmatter
136 tokensAlways available to the agent
SKILL.md
2,277 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- The Goal
- Architecture
- Lookup Flow
- File Locations
- Working Memory Format (CLAUDE.md)
- Deep Memory Format (memory/)
- How to Interact
- Bootstrapping
- Conventions
- What Goes Where
- Promotion / Demotion
Files
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# Memory Management
Memory makes Claude your workplace collaborator - someone who speaks your internal language.
## The Goal
Transform shorthand into understanding:
```
User: "ask todd to do the PSR for oracle"
↓ Claude decodes
"Ask Todd Martinez (Finance lead) to prepare the Pipeline Status Report
for the Oracle Systems deal ($2.3M, closing Q2)"
```
View the complete source on GitHubstart
When your agent uses it
Initialize the productivity system and open the dashboard. Use when setting up the plugin for the first time, bootstrapping working memory from your existing task list, or decoding the shorthand (nicknames, acronyms, project codenames) you use in your todos.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,267 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Instructions
- Notes
Files
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# Start Command
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-productivity.md).
Initialize the task and memory systems, then open the unified dashboard.
## Instructions
### 1. Check What Exists
Check the working directory for:
- `TASKS.md` — task list
- `CLAUDE.md` — working memory
- `memory/` — deep memory directory
- `dashboard.html` — the visual UIView the complete source on GitHubtask-management
When your agent uses it
Simple task management using a shared TASKS.md file. Reference this when the user asks about their tasks, wants to add/complete tasks, or needs help tracking commitments.
What it loads into context
Frontmatter
117 tokensAlways available to the agent
SKILL.md
716 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- File Location
- Dashboard Setup (First Run)
- Format & Template
- How to Interact
- Conventions
- Extracting Tasks
Files
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# Task Management
Tasks are tracked in a simple `TASKS.md` file that both you and the user can edit.
## File Location
**Always use `TASKS.md` in the current working directory.**
- If it exists, read/write to it
- If it doesn't exist, create it with the template below
## Dashboard Setup (First Run)
A visual dashboard is available for managing tasks and memory. **On first interaction with tasks:**
View the complete source on GitHubupdate
When your agent uses it
Sync tasks and refresh memory from your current activity. Use when pulling new assignments from your project tracker into TASKS.md, triaging stale or overdue tasks, filling memory gaps for unknown people or projects, or running a comprehensive scan to catch todos buried in chat and email.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
1,286 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- Default Mode
- Comprehensive Mode (`--comprehensive`)
- Notes
Files
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# Update Command
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-productivity.md).
Keep your task list and memory current. Two modes:
- **Default:** Sync tasks from external tools, triage stale items, check memory for gaps
- **`--comprehensive`:** Deep scan chat, email, calendar, docs — flag missed todos and suggest new memories
## Usage
```bash
/productivity:update
/productivity:update --comprehensive
```View the complete source on GitHubaccount-research
When your agent uses it
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM. Trigger with "research [company]", "look up [person]", "intel on [prospect]", "who is [name] at [company]", or "tell me about [company]".
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,864 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Research Variations
- Tips for Better Research
- Related Skills
Files
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# Account Research
Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with enrichment and CRM data.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ ACCOUNT RESEARCH │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Company overview: what they do, size, industry │
│ ✓ Recent news: funding, leadership changes, announcements │
│ ✓ Hiring signals: open roles, growth indicators │
│ ✓ Key people: leadership team from LinkedIn │View the complete source on GitHubcall-prep
When your agent uses it
Prepare for a sales call with account context, attendee research, and suggested agenda. Works standalone with user input and web research, supercharged when you connect your CRM, email, chat, or transcripts. Trigger with "prep me for my call with [company]", "I'm meeting with [company] prep me", "call prep [company]", or "get me ready for [meeting]".
What it loads into context
Frontmatter
165 tokensAlways available to the agent
SKILL.md
1,870 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Meeting Type Variations
- Tips for Better Prep
- Related Skills
Files
SKILL.mdcore8,718 bytes
Read SKILL.md
# Call Prep
Get fully prepared for any sales call in minutes. This skill works with whatever context you provide, and gets significantly better when you connect your sales tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ CALL PREP │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone) │
│ ✓ You tell me: company, meeting type, attendees │
│ ✓ Web search: recent news, funding, leadership changes │
│ ✓ Company research: what they do, size, industry │
│ ✓ Output: prep brief with agenda and questions │View the complete source on GitHubcall-summary
When your agent uses it
Process call notes or a transcript — extract action items, draft follow-up email, generate internal summary. Use when pasting rough notes or a transcript after a discovery, demo, or negotiation call, drafting a customer follow-up, logging the activity for your CRM, or capturing objections and next steps for your team.
What it loads into context
Frontmatter
159 tokensAlways available to the agent
SKILL.md
1,259 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Email Style Guidelines
- If Connectors Available
- Tips
Files
SKILL.mdcore6,092 bytes
Read SKILL.md
# /call-summary
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Process call notes or a transcript to extract action items, draft follow-up communications, and update records.
## Usage
```
/call-summary <notes or transcript>
```
Process these call notes: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubcompetitive-intelligence
When your agent uses it
Research your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".
What it loads into context
Frontmatter
150 tokensAlways available to the agent
SKILL.md
3,027 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output: Interactive HTML Battlecard
- HTML Structure
- Visual Design
- Execution Flow
- Data Structure Per Competitor
- Delivery
- Refresh Cadence
- Tips for Better Intel
- Related Skills
Files
SKILL.mdcore13,460 bytes
Read SKILL.md
# Competitive Intelligence
Research your competitors extensively and generate an **interactive HTML battlecard** you can use in deals. The output is a self-contained artifact with clickable competitor tabs and an overall comparison matrix.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ COMPETITIVE INTELLIGENCE │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone via web search) │
│ ✓ Competitor product deep-dive: features, pricing, positioning │
│ ✓ Recent releases: what they've shipped in last 90 days │
│ ✓ Your company releases: what you've shipped to counter │
│ ✓ Differentiation matrix: where you win vs. where they win │View the complete source on GitHubcreate-an-asset
When your agent uses it
Generate tailored sales assets (landing pages, decks, one-pagers, workflow demos) from your deal context. Describe your prospect, audience, and goal — get a polished, branded asset ready to share with customers.
What it loads into context
Frontmatter
133 tokensAlways available to the agent
SKILL.md
6,264 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Triggers
- Overview
- Phase 0: Context Detection & Input Collection
- Phase 1: Research (Adaptive)
- Phase 2: Structure Decision
- Phase 3: Content Generation
- Phase 4: Visual Design
- Phase 5: Clarifying Questions (REQUIRED)
- Phase 6: Build & Deliver
- Phase 7: Iteration Support
- Quality Checklist
- Examples
- Appendix: Component Icons
- Appendix: Brand Color Fallbacks
Files
SKILL.mdcore25,560 bytesSKILL.mdcore25,560 bytes
Read SKILL.md
# Create an Asset
Generate custom sales assets tailored to your prospect, audience, and goals. Supports interactive landing pages, presentation decks, executive one-pagers, and workflow/architecture demos.
---
## Triggers
Invoke this skill when:
- User says `/create-an-asset` or `/create-an-asset [CompanyName]`
- User asks to "create an asset", "build a demo", "make a landing page", "mock up a workflow"
- User needs a customer-facing deliverable for a sales conversation
---
View the complete source on GitHubdaily-briefing
When your agent uses it
Start your day with a prioritized sales briefing. Works standalone when you tell me your meetings and priorities, supercharged when you connect your calendar, CRM, and email. Trigger with "morning briefing", "daily brief", "what's on my plate today", "prep my day", or "start my day".
What it loads into context
Frontmatter
154 tokensAlways available to the agent
SKILL.md
1,757 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- How It Works
- Getting Started
- Connectors (Optional)
- Output Format
- Execution Flow
- Quick Mode
- End of Day Mode
- Tips
- Related Skills
Files
SKILL.mdcore7,624 bytes
Read SKILL.md
# Daily Sales Briefing
Get a clear view of what matters most today. This skill works with whatever you tell me, and gets richer when you connect your tools.
## How It Works
```
┌─────────────────────────────────────────────────────────────────┐
│ DAILY BRIEFING │
├─────────────────────────────────────────────────────────────────┤
│ ALWAYS (works standalone) │
│ ✓ You tell me: today's meetings, key deals, priorities │
│ ✓ I organize: prioritized action plan for your day │
│ ✓ Output: scannable 2-minute briefing │
├─────────────────────────────────────────────────────────────────┤View the complete source on GitHubdraft-outreach
When your agent uses it
Research a prospect then draft personalized outreach. Uses web research by default, supercharged with enrichment and CRM. Trigger with "draft outreach to [person/company]", "write cold email to [prospect]", "reach out to [name]".
What it loads into context
Frontmatter
137 tokensAlways available to the agent
SKILL.md
2,414 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Connectors (Optional)
- How It Works
- Output Format
- Execution Flow
- Capability by Connector
- Message Templates by Scenario
- Email Style Guidelines
- What NOT to Do
- Channel Selection
- Company Configuration [CUSTOMIZE]
- Example
Files
SKILL.mdcore10,353 bytes
Read SKILL.md
# Draft Outreach
Research first, then draft. This skill never sends generic outreach - it always researches the prospect first to personalize the message. Works standalone with web search, supercharged when you connect your tools.
## Connectors (Optional)
| Connector | What It Adds |
|-----------|--------------|
| **Enrichment** | Verified email, phone, background details |
| **CRM** | Prior relationship context, existing contacts |
| **Email** | Create draft directly in your inbox |
> **No connectors?** Web research works great. I'll output the email text for you to copy.
---View the complete source on GitHubforecast
When your agent uses it
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline coverage against your number.
What it loads into context
Frontmatter
146 tokensAlways available to the agent
SKILL.md
1,681 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Stage Probabilities (Default)
- If CRM Connected
- Tips
Files
SKILL.mdcore7,165 bytes
Read SKILL.md
# /forecast
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Generate a weighted sales forecast with risk analysis and commit recommendations.
## Usage
```
/forecast [period]
```
Generate a forecast for: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubpipeline-review
When your agent uses it
Analyze pipeline health — prioritize deals, flag risks, get a weekly action plan. Use when running a weekly pipeline review, deciding which deals to focus on this week, spotting stale or stuck opportunities, auditing for hygiene issues like bad close dates, or identifying single-threaded deals.
What it loads into context
Frontmatter
152 tokensAlways available to the agent
SKILL.md
2,013 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Usage
- How It Works
- What I Need From You
- Output
- Prioritization Framework
- If CRM Connected
- Tips
Files
SKILL.mdcore8,380 bytes
Read SKILL.md
# /pipeline-review
> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS-sales.md).
Analyze your pipeline health, prioritize deals, and get actionable recommendations for where to focus.
## Usage
```
/pipeline-review [segment or rep]
```
Review pipeline for: $ARGUMENTS
If a file is referenced: @$1View the complete source on GitHubSkills included
- analyze
- build-dashboard
- create-viz
- data-context-extractor
- data-visualization
- explore-data
- sql-queries
- statistical-analysis
- validate-data
- write-query
- account-research
- analyze
- architecture
- audit-support
- brand-review
- brief
- build-dashboard
- call-prep
- call-summary
- campaign-plan
- close-management
- code-review
- competitive-brief
- competitive-intelligence
- compliance-check
- content-creation
- cowork-plugin-customizer
- create-an-asset
- create-cowork-plugin
- create-viz
- customer-escalation
- customer-research
- daily-briefing
- data-context-extractor
- data-visualization
- debug
- deploy-checklist
- documentation
- draft-content
- draft-outreach
- draft-response
- email-sequence
- explore-data
- financial-statements
- forecast
- incident-response
- instrument-data-to-allotrope
- journal-entry
- journal-entry-prep
- kb-article
- legal-response
- legal-risk-assessment
- meeting-briefing
- memory-management
- metrics-review
- nextflow-development
- performance-report
- pipeline-review
- product-brainstorming
- reconciliation
- review-contract
- roadmap-update
- scientific-problem-selection
- scvi-tools
- seo-audit
- signature-request
- single-cell-rna-qc
- sox-testing
- sprint-planning
- sql-queries
- stakeholder-update
- standup
- start
- statistical-analysis
- synthesize-research
- system-design
- task-management
- tech-debt
- testing-strategy
- ticket-triage
- triage-nda
- update
- validate-data
- variance-analysis
- vendor-check
- write-query
- write-spec
- instrument-data-to-allotrope
- nextflow-development
- scientific-problem-selection
- scvi-tools
- single-cell-rna-qc
- start
- cowork-plugin-customizer
- create-cowork-plugin
- customer-escalation
- customer-research
- draft-response
- kb-article
- ticket-triage
- analyze
- build-dashboard
- create-viz
- data-context-extractor
- data-visualization
- explore-data
- sql-queries
- statistical-analysis
- validate-data
- write-query
- architecture
- code-review
- debug
- deploy-checklist
- documentation
- incident-response
- standup
- system-design
- tech-debt
- testing-strategy
- audit-support
- close-management
- financial-statements
- journal-entry
- journal-entry-prep
- reconciliation
- sox-testing
- variance-analysis
- brief
- compliance-check
- legal-response
- legal-risk-assessment
- meeting-briefing
- review-contract
- signature-request
- triage-nda
- vendor-check
- brand-review
- campaign-plan
- competitive-brief
- content-creation
- draft-content
- email-sequence
- performance-report
- seo-audit
- competitive-brief
- metrics-review
- product-brainstorming
- roadmap-update
- sprint-planning
- stakeholder-update
- synthesize-research
- write-spec
- memory-management
- start
- task-management
- update
- account-research
- call-prep
- call-summary
- competitive-intelligence
- create-an-asset
- daily-briefing
- draft-outreach
- forecast
- pipeline-review
Repository facts
- License
- MIT
- Created
- May 24, 2026
- Last pushed
- Jul 20, 2026
- Forks
- 11
- Open issues
- 0
- Project activity
- Slowing
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 7, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 197 notes
plugins/data-analyst-professional/skills/create-viz/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/data-visualization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/sql-queries/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/sql-queries/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/statistical-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/statistical-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/statistical-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/statistical-analysis/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/data-analyst-professional/skills/validate-data/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/knowledge-work-all/skills/brief/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/knowledge-work-all/skills/brief/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedplugins/knowledge-work-all/skills/close-management/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 8 dangerous shell commandsin 2 files: nextflow-development/SKILL.md:81 nextflow-development/SKILL.md:81
- 47 network referencesin 10 files: nextflow-development/SKILL.md:78 nextflow-development/SKILL.md:78 build-dashboard/SKILL.md:151 and 7 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 55 signals by file
plugins/data-analyst-professional/skills/build-dashboard/SKILL.md
- Network accessline 151
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTB - Network accessline 152
<title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> <script src="https://cdn. - Network accessline 153
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> - Network accessline 154
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3.0.0" integrity="sha384-cVMg8E3QFwTvGCDuK+ET4PD341jF3W8nO1auiXfuZNQkzbUUiBGLsIQUE+b1mxws" crossorigin="anonymous"></script>
plugins/knowledge-work-all/skills/build-dashboard/SKILL.md
- Network accessline 151
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTB - Network accessline 152
<title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> <script src="https://cdn. - Network accessline 153
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> - Network accessline 154
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3.0.0" integrity="sha384-cVMg8E3QFwTvGCDuK+ET4PD341jF3W8nO1auiXfuZNQkzbUUiBGLsIQUE+b1mxws" crossorigin="anonymous"></script>
plugins/knowledge-work-all/skills/instrument-data-to-allotrope/SKILL.md
plugins/knowledge-work-all/skills/nextflow-development/SKILL.md
- Network accessline 78
| Problem | Fix | |---------|-----| | Not installed | Install from https://docs.docker.com/get-docker/ | - Network accessline 79
|---------|-----| | Not installed | Install from https://docs.docker.com/get-docker/ | | Permission denied | `sudo usermod -aG docker $USER` then re-login | - Network accessline 80
| Not installed | Install from https://docs.docker.com/get-docker/ | - Dangerous shell operationline 81
| Permission denied | `sudo usermod -aG docker $USER` then re-login | - Dangerous shell operationline 82
| Daemon not running | `sudo systemctl start docker` | - Network accessline 86
| Problem | Fix | |---------|-----| | Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Network accessline 87
|---------|-----| | Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | | Version < 23.04 | `nextflow self-update` | - Dangerous shell operationline 88
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Network accessline 88
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Dangerous shell operationline 95
| Not installed / < 11 | `sudo apt install openjdk-11-jdk` | - Network accessline 297
When publishing results, cite the appropriate pipeline. Citations are available in each nf-core repository's CITATIONS.md file (e.g., https://github.com/nf-core/rnaseq/blob/3.22.2/CITATIONS.md). - Network accessline 301
- **nf-core pipelines:** MIT License (https://nf-co.re/about) - Network accessline 302
- **Nextflow:** Apache License, Version 2.0 (https://www.nextflow.io/about-us.html) - Network accessline 303
- **NCBI SRA Toolkit:** Public Domain (https://github.com/ncbi/sra-tools/blob/master/LICENSE)
plugins/knowledge-work-all/skills/scvi-tools/SKILL.md
- Network accessline 164
- [scvi-tools Documentation](https://docs.scvi-tools.org/) - Network accessline 165
- [scvi-tools Tutorials](https://docs.scvi-tools.org/en/stable/tutorials/index.html) - Network accessline 166
- [Model Hub](https://huggingface.co/scvi-tools) - Network accessline 167
- [GitHub Issues](https://github.com/scverse/scvi-tools/issues)
plugins/knowledge-work-bio-research/skills/instrument-data-to-allotrope/SKILL.md
plugins/knowledge-work-bio-research/skills/nextflow-development/SKILL.md
- Network accessline 78
| Problem | Fix | |---------|-----| | Not installed | Install from https://docs.docker.com/get-docker/ | - Network accessline 79
|---------|-----| | Not installed | Install from https://docs.docker.com/get-docker/ | | Permission denied | `sudo usermod -aG docker $USER` then re-login | - Network accessline 80
| Not installed | Install from https://docs.docker.com/get-docker/ | - Dangerous shell operationline 81
| Permission denied | `sudo usermod -aG docker $USER` then re-login | - Dangerous shell operationline 82
| Daemon not running | `sudo systemctl start docker` | - Network accessline 86
| Problem | Fix | |---------|-----| | Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Network accessline 87
|---------|-----| | Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | | Version < 23.04 | `nextflow self-update` | - Dangerous shell operationline 88
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Network accessline 88
| Not installed | `curl -s https://get.nextflow.io \| bash && mv nextflow ~/bin/` | - Dangerous shell operationline 95
| Not installed / < 11 | `sudo apt install openjdk-11-jdk` | - Network accessline 297
When publishing results, cite the appropriate pipeline. Citations are available in each nf-core repository's CITATIONS.md file (e.g., https://github.com/nf-core/rnaseq/blob/3.22.2/CITATIONS.md). - Network accessline 301
- **nf-core pipelines:** MIT License (https://nf-co.re/about) - Network accessline 302
- **Nextflow:** Apache License, Version 2.0 (https://www.nextflow.io/about-us.html) - Network accessline 303
- **NCBI SRA Toolkit:** Public Domain (https://github.com/ncbi/sra-tools/blob/master/LICENSE)
plugins/knowledge-work-bio-research/skills/scvi-tools/SKILL.md
- Network accessline 164
- [scvi-tools Documentation](https://docs.scvi-tools.org/) - Network accessline 165
- [scvi-tools Tutorials](https://docs.scvi-tools.org/en/stable/tutorials/index.html) - Network accessline 166
- [Model Hub](https://huggingface.co/scvi-tools) - Network accessline 167
- [GitHub Issues](https://github.com/scverse/scvi-tools/issues)
plugins/knowledge-work-bio-research/skills/start/SKILL.md
- Network accessline 75
- **~~genomics platform** — Access cloud analysis data and workflows Install: Download `txg-node.mcpb` from https://github.com/10XGenomics/txg-mcp/releases - Network accessline 76
Install: Download `txg-node.mcpb` from https://github.com/10XGenomics/txg-mcp/releases - Network accessline 78
Install: Download `tooluniverse.mcpb` from https://github.com/mims-harvard/ToolUniverse/releases
plugins/knowledge-work-data/skills/build-dashboard/SKILL.md
- Network accessline 151
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTB - Network accessline 152
<title>Dashboard Title</title> <script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> <script src="https://cdn. - Network accessline 153
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.5.1" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script> - Network accessline 154
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-date-fns@3.0.0" integrity="sha384-cVMg8E3QFwTvGCDuK+ET4PD341jF3W8nO1auiXfuZNQkzbUUiBGLsIQUE+b1mxws" crossorigin="anonymous"></script>
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.
Signal confidence: 55 facts
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:151High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:152High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:153High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:154High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:151High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:152High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:153High confidence
- Network access in code of the SKILL.mdbuild-dashboard/SKILL.md:154High confidence
- Network access in prose of the SKILL.mdinstrument-data-to-allotrope/SKILL.md:119Low confidence
- Network access in prose of the SKILL.mdinstrument-data-to-allotrope/SKILL.md:121Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:78Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:79Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:80Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:81Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:82Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:86Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:87Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:88Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:88Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:95Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:297Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:301Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:302Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:303Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:164Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:165Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:166Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:167Low confidence
- Network access in prose of the SKILL.mdinstrument-data-to-allotrope/SKILL.md:119Low confidence
- Network access in prose of the SKILL.mdinstrument-data-to-allotrope/SKILL.md:121Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:78Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:79Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:80Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:81Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:82Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:86Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:87Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:88Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:88Low confidence
- Dangerous shell operation in prose of the SKILL.mdnextflow-development/SKILL.md:95Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:297Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:301Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:302Low confidence
- Network access in prose of the SKILL.mdnextflow-development/SKILL.md:303Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:164Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:165Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:166Low confidence
- Network access in prose of the SKILL.mdscvi-tools/SKILL.md:167Low confidence
- Network access in prose of the SKILL.mdstart/SKILL.md:75Low confidence
- Network access in prose of the SKILL.mdstart/SKILL.md:76Low confidence
and 5 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest plugins/data-analyst-professional/.claude-plugin/plugin.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md plugins/data-analyst-professional/skills/analyze/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Native | Path .cursor/skills/README.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Native | Path .gemini/commands/sync-skills.toml | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md plugins/data-analyst-professional/skills/analyze/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md plugins/data-analyst-professional/skills/analyze/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.