addyosmani/agent-skills
Addy Osmani's pack of 24 lifecycle skills for coding agents — spec, TDD, review, ship — installs as plain Markdown into Claude Code, Cursor, Gemini CLI and more, with evidence-demanding verification gates.
**The gist** Addy Osmani's skill pack encodes an engineering lifecycle in **24 skills** — define, plan, build, verify, review, ship — plus **8 slash commands** (/spec through /ship) and four reviewer personas like security-auditor. Skills are plain Markdown, installable via **npx skills add** into Claude Code, Cursor, Gemini CLI, Windsurf, and Copilot; MIT-licensed, at **71.6k stars**.
**Why it matters** The design is the transferable part: every skill is a step-by-step workflow with **verification gates** requiring evidence — tests, build output, runtime data — instead of the agent's self-assessment, and **anti-rationalization tables** that pre-empt excuses for skipping steps. Worth mining for your own skills even if you skip the pack; **/build auto** chains planning and implementation off a single approval.
**The gist** Addy Osmani's skill pack encodes an engineering lifecycle in **24 skills** — define, plan, build, verify, review, ship — plus **8 slash commands** (/spec through /ship) and four reviewer personas like security-auditor. Skills are plain Markdown, installable via **npx skills add** into Claude Code, Cursor, Gemini CLI, Windsurf, and Copilot; MIT-licensed, at **71.6k stars**. **Why it matters** The design is the transferable part: every skill is a step-by-step workflow with **verification gates** requiring evidence — tests, build output, runtime data — instead of the agent's self-assessment, and **anti-rationalization tables** that pre-empt excuses for skipping steps. Worth mining for your own skills even if you skip the pack; **/build auto** chains planning and implementation off a single approval. **Watch out** A **24-skill** pack is a lot of prompt surface — loading broadly costs context, and the workflows encode one engineer's process opinions that may fight your team's conventions. No benchmark shows agents perform better with them; **71.6k stars** measures popularity, not outcomes.