{"id":"skillz","name":"Skillz","homepage":"https://github.com/intellectronica/skillz","repo_url":"https://github.com/intellectronica/skillz","category":"developer-tools","subcategories":["agent-tools","skill-management","mcp"],"tags":["mcp","skills","claude-skills","python","codex","cursor","copilot","docker","stdio","sse"],"what_it_does":"A lightweight MCP server that loads Claude-style SKILL.md skill files and exposes them as callable tools to any MCP-compatible AI agent (Codex, Copilot, Cursor), acting as a universal shim for skill portability across non-Claude clients.","use_cases":["Share Claude skill packs with Codex, GitHub Copilot, or Cursor without rewriting skills for each platform","Package and distribute reusable agent workflows as ZIP or .skill archives discoverable by any MCP client","Make supplementary resources (scripts, datasets, examples) available to agents alongside skill instructions","Run skills in Docker containers for isolated, reproducible agent execution environments","Rapidly prototype and test skill libraries using stdio, HTTP, or SSE transport modes"],"not_for":["Production deployments requiring enterprise-grade security — explicitly described as an experimental proof-of-concept","Teams needing skill versioning, access control, or centralized skill registry management","Scenarios where running untrusted skill code is a security concern"],"best_when":"You have Claude skills defined in SKILL.md format and want to reuse them with other MCP-compatible agents without platform-specific rewrites.","avoid_when":"You need a production-hardened skill management system with audit trails and access control; Skillz is experimental and treats skill code as potentially untrusted.","alternatives":["Claude native skills","custom MCP servers per tool","LangChain tools","CrewAI tools"],"af_score":67.6,"security_score":35.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github","crates_io"],"priority":"low","status":"evaluated","version_evaluated":"latest","last_evaluated":"2026-03-01T09:50:06.216936+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}