# Skills MCP Server
[](https://opensource.org/licenses/MIT)
A Model Context Protocol (MCP) server that enables AI agents to discover, load, and execute **Agent Skills** - organized folders of instructions, scripts, and resources that give agents additional capabilities.
Based on the [Agent Skills specification](https://agentskills.io/specification).
## What are Skills?
Skills are folders containing:
- **SKILL.md** - Instructions and metadata (name, description)
- **scripts/** - Executable Python scripts
- **references/** - Additional documentation (loaded on demand)
- **assets/** - Static resources (templates, data files)
Skills use **progressive disclosure** to efficiently manage context:
1. **Level 1**: Name + description always visible in the `skill` tool description
2. **Level 2**: Full SKILL.md loaded when `skill(name)` is called
3. **Level 3**: Scripts/references loaded when `execute_skill_script()` or `get_skill_resource()` is called
## Features
- **Dynamic Skill Discovery**: All skill names and descriptions are embedded in the `skill` tool description
- **Progressive Loading**: Load skill instructions on demand
- **Script Execution**: Run pre-built Python scripts from skills
- **Resource Access**: Load reference docs and assets as needed
- **Agent Skills Compatible**: Follows the open Agent Skills specification
## Getting Started
### Prerequisites
- Python 3.10+
- An MCP-compatible client (e.g., Manus, Claude Code, Cursor)
### Installation
1. **Clone the repository:**
```bash
git clone https://github.com/Livus-AI/Skills-MCP.git
cd Skills-MCP
```
2. **Install dependencies:**
```bash
pip install -e .
```
3. **Run the server:**
```bash
skills-mcp
```
### Configuration
- **Skills Directory**: By default, skills are stored in the `skills/` directory. You can change this by setting the `SKILLS_DIR` environment variable.
## MCP Tools
The server exposes **3 tools**:
| Tool | Description |
| :--- | :--- |
| `skill(name)` | Load a skill's full instructions. **The tool description dynamically includes ALL skill names and descriptions.** |
| `execute_skill_script(skill_name, script_name, params)` | Execute a Python script from a skill's `scripts/` directory. |
| `get_skill_resource(skill_name, resource_path)` | Load a specific resource file (reference docs, assets). |
### How It Works
The `skill` tool description is **dynamically generated** to always include the name and description of every available skill. This means:
1. **Agents see all skills immediately** - No need to call a "list" function
2. **One call to load** - `skill("name")` loads full instructions
3. **Execute when ready** - `execute_skill_script()` runs scripts
### Example Workflow
```
# Agent reads skill tool description and sees:
# - hello-world: A simple example skill...
# - slack-message: Post messages to Slack...
# Step 1: Load the skill
skill("slack-message")
# Returns: full instructions, available scripts, resources
# Step 2: Execute a script
execute_skill_script("slack-message", "post.py", {"channel": "#general", "message": "Hello!"})
# Returns: script output
```
## Creating a Skill
See [SKILL_CREATION.md](SKILL_CREATION.md) for the complete guide.
### Quick Start
1. **Create the directory structure:**
```
skills/
└── my-skill/
├── SKILL.md # Required: Instructions + metadata
├── scripts/ # Optional: Executable scripts
│ └── main.py
├── references/ # Optional: Additional docs
│ └── api.md
└── assets/ # Optional: Static resources
└── template.json
```
2. **Create SKILL.md with frontmatter:**
```yaml
---
name: my-skill
description: What this skill does and when to use it. Include keywords that help agents identify relevant tasks.
license: MIT
metadata:
author: your-name
version: "1.0"
---
# My Skill
## Overview
Brief description of what this skill helps accomplish.
## Available Scripts
- `scripts/main.py` - Primary functionality
## How to Use
Step-by-step instructions...
```
3. **Create scripts with the standard format:**
```python
import sys
import json
def run(params: dict = None) -> dict:
params = params or {}
# Your logic here
return {"status": "success", "result": "..."}
if __name__ == "__main__":
params = {}
if len(sys.argv) > 1:
params = json.loads(sys.argv[1])
result = run(params)
print(json.dumps(result))
```
## Example Skills
This repository includes example skills in the `skills/` directory:
1. **hello-world** - A simple example demonstrating the skill format
2. **slack-message** - Post messages to Slack via webhook
## Roadmap
- [ ] `create_skill` tool - Create new skills programmatically
- [ ] `execute_code` tool - Execute arbitrary Python code with e2b sandboxing
- [ ] Skill validation and linting
- [ ] Skill versioning and updates
## Contributing
Contributions are welcome! Please feel free to submit a pull request or open an issue.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Related
- [Agent Skills Specification](https://agentskills.io/specification)
- [Anthropic Skills Repository](https://github.com/anthropics/skills)
- [Model Context Protocol](https://modelcontextprotocol.io)
