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Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

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Software by intellectronica

skillz
Open Source

skillz

# Skillz ## πŸ‘Œ **Use _skills_ in any agent** _(Codex, Copilot, Cursor, etc...)_ [![PyPI version](https://img.shields.io/pypi/v/skillz.svg)](https://pypi.org/project/skillz/) [![PyPI downloads](https://img.shields.io/pypi/dm/skillz.svg)](https://pypi.org/project/skillz/) > ⚠️ **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](https://github.com/anthropics/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](http://skills.intellectronica.net/)** directory. ## Quick Start To run the MCP server in your agent, use the following config (or equivalent): ```json { "skillz": { "command": "uvx", "args": ["skillz@latest"] } } ``` with the skills residing at `~/.skillz` _or_ ```json { "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. ```json { "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](https://github.com/intellectronica/gemini-cli-skillz). Install it with: ```bash 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: ```text ~/.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: ```text translate.zip β”œβ”€β”€ SKILL.md └── helpers/ └── translate.js ``` ```text 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:** ```text 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): ```text 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 / 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`](https://intellectronica.net)

AI Agents API Tools
398 Github Stars
awesome-skills
Open Source

awesome-skills

# Awesome Skills **A directory of skills for AI agents.** Skills extend the capabilities of AI agents with packaged routines, workflows, and knowledge. You can run these skills in [Claude](https://www.anthropic.com/news/skills) or with any AI agent using the [Skillz MCP server](https://github.com/intellectronica/skillz). ## Contributing If you have a skill to share, please submit a pull request adding it to [`skills.yaml`](https://github.com/intellectronica/awesome-skills/blob/main/skills.yaml) or [open an issue](https://github.com/intellectronica/awesome-skills/issues). ## Credit & License This repository is maintained with love by **[Eleanor Berger](https://intellectronica.net/) ([`@intellectronica`](https://github.com/intellectronica))** and is available in the **public domain** under the [CC0-1.0 Universal License](LICENSE). The linked skills each have their own license. --- [![Awesome Skills](screenshot.png)](https://skills.intellectronica.net/)

AI Agents Wiki & Knowledge Base
117 Github Stars