Skillz
Turns Claude-style skills (SKILL.md files with resources) into callable MCP tools for any agent. Discovers skills from a directory, exposes their instructions and resources, and can execute bundled helper scripts.
README
Skillz
👌 Use skills in any agent (Codex, Copilot, Cursor, etc...)
⚠️ 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.
💡 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"
]
}
}
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/
├── summarize-docs/
│ ├── SKILL.md
│ ├── summarize.py
│ └── prompts/example.txt
├── translate.zip
├── 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
├── SKILL.md
└── helpers/
└── translate.js
data-cleaner.zip
└── data-cleaner/
├── 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/
├── hello-world/
│ ├── SKILL.md
│ └── run.sh
└── summarize-text/
├── SKILL.md
└── run.py
Skillz-only layout examples (not compatible with Claude Code):
skills/
├── text-tools/
│ └── summarize-text/
│ ├── SKILL.md
│ └── run.py
├── 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 / Option | Description |
|---|---|
positional skills_root |
Optional skills directory (defaults to ~/.skillz). |
--transport {stdio,http,sse} |
Choose the FastMCP transport (default stdio). |
--host HOST |
Bind address for HTTP/SSE transports. |
--port PORT |
Port for HTTP/SSE transports. |
--path PATH |
URL path when using the HTTP transport. |
--list-skills |
List discovered skills and exit. |
--verbose |
Emit debug logging to the console. |
--log |
Mirror verbose logs to /tmp/skillz.log. |
Made with 🫶 by
@intellectronica
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.