AIAgentSkills

AI Agent Skills is an independent, community-oriented AI agent skills directory indexing open-source Skill packages published across the web (GitHub repos containing a SKILL.md), letting users of coding agents like Claude Code and Cursor discover and evaluate skills by scenario and copy install commands in one click.

Core capabilities

• Skill index: 7,380+ published skills from 946 authors, browsable and searchable with one-click copyable install commands — no account or payment needed
• Categories and curation: a dozen-plus use-case categories plus Latest, Editor's Choice, and Trending entrances to lower discovery costs
• One-click install: detail pages give a single-line command pasteable into Claude Code, with links back to the upstream source repo wherever possible
• Automated quality checks: skills pass automated quality and safety checks before being marked released
• Concept education: clearly distinguishes Skills from MCP servers, slash commands, plugins, and CLAUDE.md, with a blog of 71 posts
• Submissions: developers can submit public GitHub repos via Submit Skill for review

Use cases Developers already on Claude Code, Codex CLI, or Cursor can quickly discover and install workflow templates by scenario — testing, frontend, automation, research; also useful for anyone learning Agent Skills concepts and safety practices. Not for web-chat-only users or those needing an officially certified store.

Unique strengths Compared with larger directories like skills.sh and SkillsMP, its install guides and safety checklists are noticeably more rigorous than peers' — distinguishing the Claude.ai ZIP upload from the Claude Code path, citing primary sources, and attaching a 10-point third-party skill safety checklist, all completely free.

Editorial verdict Free and wall-less with clear structure, and education content quality clearly above average for its category — genuinely helpful for coding-agent users. But the deductions are many: star counts display at repo level rather than skill level, which misleads; the operator is anonymous with little independent validation off-site; the claimed quality review has no public methodology; and indexed repo data has stagnated. Treat it as one of several discovery sources, and always review upstream scripts and permissions before installing. Overall 3/5.