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# `skilltap`

### Turn a folder of Markdown agent skills into MCP tools that any coding agent can list, search, and load.

![License](https://img.shields.io/badge/license-MIT-blue.svg) ![Language](https://img.shields.io/badge/language-python-green.svg) ![Status](https://img.shields.io/badge/status-active-success.svg) ![Python](https://img.shields.io/badge/python-3.9%2B-blue) ![MCP](https://img.shields.io/badge/MCP-server-purple) ![License](https://img.shields.io/badge/license-MIT-green)

<img src="demo.gif" alt="Demo" width="700" />

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## 🎯 Why?

Agent skills and MCP servers are trending, but local procedural knowledge is still trapped in loose Markdown files. Memory MCP servers store facts, not reusable runbooks, and coding agents lack a zero-dependency way to discover team skills. skilltap bridges that gap by indexing a skills folder and exposing safe list/get/search tools over MCP stdio.

**Target audience:** Developers and platform teams building with Claude Code, Cursor, or custom MCP agents who want reusable, version-controlled operational skills without running extra infrastructure.

## ✨ Features

- ✨ **Scans a directory of Markdown skills with simple frontmatter and safe path handling**
- ✨ **Exposes list_skills, get_skill, and search_skills MCP tools over stdio**
- ✨ **Includes a human CLI for listing, searching, printing, and inspecting tools**

## 🚀 Quick Start

```bash
# Install
pip install skilltap

# Run
skilltap --help
```

## 📦 Installation

### From Source

```bash
git clone https://github.com/YOUR_USERNAME/skilltap.git
cd skilltap
```

```bash
# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest -v
```

## 🎬 Demo

The GIF above was recorded using [Charm VHS](https://github.com/charmbracelet/vhs):

```bash
vhs < demo.tape
```

## 📖 Usage

```bash
# Show help
skilltap --help

# Common usage examples
skilltap --example
```

## 🏗️ Architecture

```mermaid
graph LR
    A[Input] --> B[Core Engine]
    B --> C[Output]
    B --> D[Plugins]
    D --> E[Extensions]
```

## 🤝 Contributing

Contributions are welcome! Please:

1. Fork the repo
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## 📄 License

MIT © 2026 — See [LICENSE](LICENSE) for details.

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