Skills MCP

The Package Manager for AI Agents.

Skills MCP connects your LLM Agent (like Claude Desktop or Claude Code) to a global registry of capabilities. It allows your Agent to autonomously discover, install, and learn new skills to solve complex tasks.

Thin MCP, Fat Agent Philosophy: This tool handles the delivery of code and instructions, empowering the Agent to execute them using its own environment (e.g., uv, bash).

🚀 Features

• Search: Find skills for specific tasks (e.g., "pdf", "excel", "diagram").

• Install: One-click download and installation to your local machine (~/.skills).

• Learn: Provides the Agent with the exact file structure and SKILL.md instructions.

• Dependency Management: Works seamlessly with uv to let Agents self-manage Python environments without polluting your system.

📦 Installation

The recommended way to install is via uv (a fast Python package manager). It ensures the tool runs in an isolated environment.

Prerequisites

• Python 3.10+

• uv (Recommended)

(Alternatively, you can use

⚙️ Configuration

🖥️ Claude Desktop (GUI)

To use Skills MCP with the Claude Desktop app, update your configuration file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

• Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the following entry:

Tip: Replace

⌨️ Claude Code (CLI)

If you are using the claude command-line tool, you can install the MCP server directly via the CLI:

Note on Configuration: Claude Code inherits environment variables from your shell. To set custom configurations (like a private registry URL), export them in your shell profile (~/.zshrc or ~/.bashrc):

Environment Variables

💡 Usage Guide (for Agents)

Once installed, you can ask Claude to do things like:

1. Discovery:

   "Search for a skill that can split Excel files." (Claude calls

2. Acquisition:

   "Install the excel-pro skill." (Claude calls

3. Execution:

   "Read the instructions for excel-pro and split this file." (Claude calls

🛠️ Development

Setup

Running Locally (StdIO Mode)

🤝 Contributing

We welcome contributions! Please feel free to submit a Pull Request.

1. Fork the repository.

2. Create your feature branch.

3. Commit your changes.

4. Push to the branch.

5. Open a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.