FindSkills
FindSkills is a cross-ecosystem search engine and directory for AI agent skills — indexing 30,000+ skills from OpenClaw, Claude, GitHub, and ClawHub, with CLI installation and MCP connector support.
About
FindSkills is a comprehensive directory and search engine for AI agent skills across multiple ecosystems including OpenClaw, Claude, GitHub, and ClawHub. The platform indexes over 30,000 skills and provides multiple access methods: a web directory for browsing, machine-readable JSON endpoints for programmatic access, a CLI tool installable via npx findskills, and an MCP connector (npx findskills-mcp) for direct use inside Claude and other MCP-compatible runtimes. Skills are organized across categories including Coding, Browser, Data, Communication, and DevOps, with a quality scoring system to surface the most reliable options. Unlike registries tied to a single ecosystem, FindSkills spans multiple platforms making it useful regardless of which agent runtime a team is using.
OpenClaw operators, Claude Code users, and agent builders who want a single place to search for skills across all major registries — particularly developers who prefer CLI-based tooling and want MCP-native skill discovery inside their existing agent workflows.
Pros & Cons
Pros
- check 30,000+ skills indexed across OpenClaw, Claude, GitHub, and ClawHub — far broader coverage than any single-ecosystem registry
- check MCP connector means skills can be discovered and installed directly from within Claude or other MCP-aware runtimes
- check CLI tool (`npx findskills`) provides developer-friendly access without needing to visit the web interface
- check Machine-readable JSON endpoints and llms.txt support programmatic integration into agent toolchains
- check Quality scoring system helps surface reliable skills rather than requiring manual evaluation
Cons
- close Cross-ecosystem indexing means quality varies significantly — skills from different sources have different maintenance standards
- close 30,000+ entries can be overwhelming without strong filtering; quality scores help but aren't a full substitute for vetting
- close No hosted installation service — discovery is the product, so deployment still falls to the user
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