Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
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Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Verify that a skills library is consistent, up-to-date, and ready to share or install from.
--format json for structured output when automating health checks.--dry-run before running build-docs to check if docs are already in sync.validate and doctor first.--fields to limit output when inspecting large catalogs.npx ai-agent-skills validate
This checks: required fields, folder consistency, frontmatter validity, collection integrity, and generated doc sync.
npx ai-agent-skills doctor --format json
npx ai-agent-skills check --format json
npx ai-agent-skills build-docs --dry-run --format json
If currentlyInSync is false, regenerate:
npx ai-agent-skills build-docs
npx ai-agent-skills curate review --format json
validate passes with no errorsdoctor reports no broken installsbuild-docs --dry-run shows docs are in syncwhyHere fieldsskills/skills.json total matches actual skill countvalidate and doctor are read-only — they never mutate the library.check makes network requests to verify upstream sources. It may be slow or timeout on unreachable repos.curate review queue is derived from missing fields and stale verification dates — it is a heuristic, not a mandate.No reviews yet. Tell others what you thought.
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Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
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Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
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Transforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
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Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.
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Use when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.
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Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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