skillz and skill-mcp
These are complements: skillz provides a framework for loading pre-built skills via MCP, while skill-mcp adds programmatic skill creation and management capabilities on top of that infrastructure, allowing users to both define and execute skills within the same MCP ecosystem.
About skillz
intellectronica/skillz
An MCP server for loading skills (shim for non-claude clients).
Discovers and exposes Claude-style skills (defined via `SKILL.md` with YAML metadata) as MCP tools for non-Claude agents like Copilot and Cursor, supporting flexible skill packaging as directories, zip archives, or `.skill` files with bundled resources. Uses stdio, HTTP, or SSE transports and can execute helper scripts within each skill, with optional Docker containerization for sandboxed execution. Integrates with the Skills Supermarket directory and provides both Python CLI and Gemini CLI extension interfaces for agent configuration.
About skill-mcp
fkesheh/skill-mcp
LLM-managed skills platform using MCP - create, edit, and execute skills programmatically in Claude, Cursor, and any MCP-compatible client without manual file uploads.
# Technical Summary Provides a 22-module MCP server that enables LLMs to unify multiple skills in single code executions through cross-skill imports and automatic dependency/environment aggregation—achieving 98.7% token efficiency gains by following Anthropic's MCP code-execution pattern. Features CRUD operations for skill management stored in `~/.skill-mcp/skills/`, with support for Python/Bash script execution using PEP 723 inline dependencies and per-skill `.env` files. Architecture remains client-agnostic via standard MCP protocol, compatible with Claude Desktop, Cursor, claude.ai, and any MCP-compatible application without vendor lock-in.
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