Skill
Empower LLMs to programmatically create, edit, and execute custom skills across MCP-compatible clients like Claude and Cursor.
About
The Skill Management MCP Server revolutionizes how Large Language Models (LLMs) interact with custom skills, moving beyond cumbersome manual file uploads and interface limitations. It establishes a universal platform where LLMs like Claude can programmatically create, edit, execute, and manage skills stored locally. By leveraging the Model Context Protocol (MCP), this server ensures that skills are not tied to any single client or ecosystem, working seamlessly across Claude Desktop, claude.ai, Cursor, and other MCP-compatible applications. This empowers LLMs to dynamically develop and utilize capabilities, enabling instant modifications, full version control, and collaborative skill development without human intervention.
Key Features
- Programmatic execution of Python and Bash scripts with secure environment variables
- LLM-driven skill creation, editing, and deletion without manual file operations
- Universal skill compatibility across Claude, Cursor, and any MCP-enabled client
- Automatic dependency management for Python scripts using PEP 723 uv inline metadata
- Secure, per-skill environment variable management with values hidden for security
- 4 GitHub stars
Use Cases
- Programmatically creating new skills, such as a 'pdf-processor' for document manipulation.
- Managing and injecting secure API tokens and environment variables for specific skills.
- Executing complex data processing or automation scripts directly via an LLM, receiving instant output.
