intellectronica

skillz

Built by intellectronica β€’ 377 stars

What is skillz?

A high-performance MCP server implementation for skillz that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use skillz?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/skillz 3. Restart your client and verify the new tools are available in the system catalog.
πŸ›‘οΈ Scoped (Restricted)
npx @modelcontextprotocol/skillz --scope restricted
πŸ”“ Unrestricted Access
npx @modelcontextprotocol/skillz

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

skillz FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub

Skillz

πŸ‘Œ Use skills in any agent (Codex, Copilot, Cursor, etc...)

PyPI version PyPI downloads

⚠️ Experimental proof‑of‑concept. Potentially unsafe. Treat skills like untrusted code and run in sandboxes/containers. Use at your own risk.

Skillz is an MCP server that turns Claude-style skills (SKILL.md plus optional resources) into callable tools for any MCP client. It discovers each skill, exposes the authored instructions and resources, and can run bundled helper scripts.

πŸ’‘ You can find skills to install at the Skills Supermarket directory.

Quick Start

To run the MCP server in your agent, use the following config (or equivalent):

{
  "skillz": {
    "command": "uvx",
    "args": ["skillz@latest"]
  }
}

with the skills residing at ~/.skillz

or

{
  "skillz": {
    "command": "uvx",
    "args": ["skillz@latest", "/path/to/skills/direcotry"]
  }
}

or Docker

You can run Skillz using Docker for isolation. The image is available on Docker Hub at intellectronica/skillz.

To run the Skillz MCP server with your skills directory mounted using Docker, configure your agent as follows:

Replace /path/to/skills with the path to your actual skills directory. Any arguments after intellectronica/skillz in the array are passed directly to the Skillz CLI.

{
  "skillz": {
    "command": "docker",
    "args": [
      "run",
      "-i",
      "--rm",
      "-v",
      "/path/to/skills:/skillz",
      "intellectronica/skillz",
      "/skillz"
    ]
  }
}

Gemini CLI Extension

A Gemini CLI extension is available at intellectronica/gemini-cli-skillz.

Install it with:

gemini extensions install https://github.com/intellectronica/gemini-cli-skillz

This extension enables Anthropic-style Agent Skills in Gemini CLI using the skillz MCP server.

Usage

Skillz looks for skills inside the root directory you provide (defaults to ~/.skillz). Each skill lives in its own folder or zip archive (.zip or .skill) that includes a SKILL.md file with YAML front matter describing the skill. Any other files in the skill become downloadable resources for your agent (scripts, datasets, examples, etc.).

An example directory might look like this:

~/.skillz/
β”œβ”€β”€ summarize-docs/
β”‚   β”œβ”€β”€ SKILL.md
β”‚   β”œβ”€β”€ summarize.py
β”‚   └── prompts/example.txt
β”œβ”€β”€ translate.zip
β”œβ”€β”€ analyzer.skill
└── web-search/
    └── SKILL.md

When packaging skills as zip archives (.zip or .skill), include the SKILL.md either at the root of the archive or inside a single top-level directory:

translate.zip
β”œβ”€β”€ SKILL.md
└── helpers/
    └── translate.js
data-cleaner.zip
└── data-cleaner/
    β”œβ”€β”€ SKILL.md
    └── clean.py

Directory Structure: Skillz vs Claude Code

Skillz supports a more flexible skills directory than Claude Code. In addition to a flat layout, you can organize skills in nested subdirectories and include skills packaged as .zip or .skill files (as shown in the examples above).

Claude Code, on the other hand, expects a flat skills directory: every immediate subdirectory is a single skill. Nested directories are not discovered, and .zip or .skill files are not supported.

If you want your skills directory to be compatible with Claude Code (for example, so you can symlink one skills directory between the two tools), you must use the flat layout.

Claude Code–compatible layout:

skills/
β”œβ”€β”€ hello-world/
β”‚   β”œβ”€β”€ SKILL.md
β”‚   └── run.sh
└── summarize-text/
    β”œβ”€β”€ SKILL.md
    └── run.py

Skillz-only layout examples (not compatible with Claude Code):

skills/
β”œβ”€β”€ text-tools/
β”‚   └── summarize-text/
β”‚       β”œβ”€β”€ SKILL.md
β”‚       └── run.py
β”œβ”€β”€ image-processing.zip
└── data-analyzer.skill

You can use skillz --list-skills (optionally pointing at another skills root) to verify which skills the server will expose before connecting it to your agent.

CLI Reference

skillz [skills_root] [options]

Flag / OptionDescription
positional skills_rootOptional skills directory (defaults to ~/.skillz).
--transport {stdio,http,sse}Choose the FastMCP transport (default stdio).
--host HOSTBind address for HTTP/SSE transports.
--port PORTPort for HTTP/SSE transports.
--path PATHURL path when using the HTTP transport.
--list-skillsList discovered skills and exit.
--verboseEmit debug logging to the console.
--logMirror verbose logs to /tmp/skillz.log.

Made with 🫢 by @intellectronica

Global Ranking

6.2
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "skillz": { "command": "npx", "args": ["skillz"] } } }