Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
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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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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Find the right skill for a task without flooding the context window or installing blindly.
--fields on list/search/info to keep output small. Default: --fields name,tier,workArea,description.--dry-run before installing anything.--format json in non-interactive pipelines. The CLI defaults to JSON when stdout is not a TTY.--limit when browsing large catalogs. Start with --limit 10.npx ai-agent-skills search <query> --fields name,tier,workArea,description --limit 10
npx ai-agent-skills info <skill-name> --fields name,description,tags,collections,installCommands
npx ai-agent-skills preview <skill-name>
npx ai-agent-skills install <skill-name> --dry-run
npx ai-agent-skills install <skill-name>
preview command sanitizes skill content to strip prompt injection patterns. If content looks truncated, check if suspicious patterns were removed.--list or --dry-run a collection before installing.--dry-run to verify the source is reachable.还没有评价。欢迎分享你的使用感受。
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Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
中文简介正在准备中。当前显示原文说明。
Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.
中文简介正在准备中。当前显示原文说明。
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
中文简介正在准备中。当前显示原文说明。
Transforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
中文简介正在准备中。当前显示原文说明。
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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