skillz 0.1.1

MCP server that exposes Claude-style skills to any MCP client.

Skillz MCP Server

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

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skillz is a Python package and CLI that exposes Anthropic‑style skills (directories with a SKILL.md that starts with YAML front‑matter) to any MCP client. It recursively discovers skills, registers one tool per skill, returns authored instructions and absolute file paths, and can optionally run a helper script from the skill in a temporary workspace. Now that the package is on PyPI you can run it anywhere with uvx skillz.

Prerequisites

• Python 3.12 or newer (managed automatically when using uv)
• uv package manager (the script metadata declares runtime dependencies)

Quick Start

1. Populate a directory with skills following Anthropic’s format (SKILL.md + optional resources).

2. Run the server with the directory path (downloads and caches the latest PyPI release automatically):

   uvx skillz /path/to/skills --verbose
   

   By default the server listens over stdio. Pass --transport http or --transport sse with --host, --port, and --path if your client needs a network transport.

3. Use --list-skills to validate parsing without starting the transport:

   uvx skillz /path/to/skills --list-skills
   

Local development workflow

• Install uv and Python 3.12+.

• Sync an isolated environment with all runtime and developer dependencies (only needed when developing locally in the repo):

  uv sync
  

• Run the test suite:

  uv run pytest
  

• Launch the CLI against your local checkout while iterating:

  uv run python -m skillz /path/to/skills --list-skills
  

Packaging status

• The repository now ships a pyproject.toml, src/skillz/ package layout, and uv.lock for reproducible builds.
• Console entry point skillz resolves to python -m skillz when installed as a package.
• GitHub Actions workflow .github/workflows/publish.yml builds/tests and, on published GitHub Releases, publishes via PyPI trusted publisher once the pypi environment is approved in project settings.

Discovery and tool registration

• Recursively walks the skills root and loads every SKILL.md (nesting supported).
• One MCP tool is registered per skill. Tool name = the slug of name (e.g., algorithmic-art).
• Tool description = the description from front‑matter (no extra metadata included).

Note: Skillz returns absolute paths but does not register MCP resources for file reads. Clients should read files directly from disk or provide their own file‑access flow.

Security & Safety Notice

• This code is experimental, untested, and should be treated as unsafe.
• Script execution happens outside any sandbox besides a temporary directory. Use only with trusted skill content and within controlled environments.
• Review and harden before exposing to real users or sensitive workflows.

License

Released under the MIT License (see LICENSE).