Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
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MoizIbnYousaf/ai-agent-skills1.2KUpdated Sep 22, 2026
FreePublished on GitHub
browse-and-evaluate
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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Run score Not tested
See how to installFiles included (1)
- SKILL.md1.8 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
Browse And Evaluate
Goal
Find the right skill for a task without flooding the context window or installing blindly.
Guardrails
- Always use
--fieldson list/search/info to keep output small. Default:--fields name,tier,workArea,description. - Always use
--dry-runbefore installing anything. - Never install more than 3 skills at once without explicit user confirmation.
- Prefer
--format jsonin non-interactive pipelines. The CLI defaults to JSON when stdout is not a TTY. - Use
--limitwhen browsing large catalogs. Start with--limit 10.
Workflow
- Search or browse the catalog.
npx ai-agent-skills search <query> --fields name,tier,workArea,description --limit 10
- Get details on a candidate.
npx ai-agent-skills info <skill-name> --fields name,description,tags,collections,installCommands
- Preview the skill content.
npx ai-agent-skills preview <skill-name>
- Dry-run the install.
npx ai-agent-skills install <skill-name> --dry-run
- Install only after reviewing the dry-run output.
npx ai-agent-skills install <skill-name>
Gotchas
- The
previewcommand sanitizes skill content to strip prompt injection patterns. If content looks truncated, check if suspicious patterns were removed. - Collection installs pull multiple skills. Always
--listor--dry-runa collection before installing. - Upstream (non-vendored) skills require a network fetch at install time. Use
--dry-runto verify the source is reachable.
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FreeTransforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
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The English summary is being prepared. Showing the original description.
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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.
The English summary is being prepared. Showing the original description.
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