skills/review-a-skill/SKILL.md
Use when evaluating whether a skill belongs in a library. Preview content, check frontmatter, validate structure, and decide whether to keep, curate, or remove.
npx skillsauth add skillcreatorai/ai-agent-skills review-a-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Evaluate a single skill's quality, relevance, and safety before it enters or stays in a library.
--format json for machine-readable output in automated pipelines.--fields to limit output size when inspecting catalog entries.--dry-run before curating or removing a skill.info --format json dependencies.npx ai-agent-skills preview <skill-name>
The preview command sanitizes content — if it flags sanitization, investigate before proceeding.
npx ai-agent-skills info <skill-name> --format json --fields name,description,tags,collections,dependencies
npx ai-agent-skills validate <skill-name>
npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verify --dry-run
npx ai-agent-skills curate <skill-name> --notes "Reviewed: solid patterns" --verify
npx ai-agent-skills curate <skill-name> --remove --dry-run
npx ai-agent-skills curate <skill-name> --remove --yes
preview command only works for vendored (house) skills. Upstream skills show description and whyHere only.validate command checks frontmatter structure but not content quality — that requires human or agent judgment.dependencies.usedBy first.testing
Use when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.
development
Use when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.
development
Use when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.
tools
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.