Getting Started

Getting Started

Installation

1. Install Python SDK

pip install skilllite

2. Install Sandbox Binary

SkillLite uses a Rust-based sandbox for secure code execution.

# Auto-install via CLI
skilllite install

# Or manual installation
curl -fsSL https://raw.githubusercontent.com/EXboys/skilllite/main/install.sh | bash

Supported Platforms:

• macOS (Intel and Apple Silicon)
• Linux (x86_64 and ARM64)

3. Verify Installation

skilllite status

Quick Usage

Basic Example

from skilllite import SkillManager
from openai import OpenAI

# Initialize
client = OpenAI(base_url="https://api.deepseek.com/v1", api_key="your_key")
manager = SkillManager(skills_dir="./.skills")

# Get tools
tools = manager.get_tools()

# Call LLM
response = client.chat.completions.create(
    model="deepseek-chat",
    tools=tools,
    messages=[{"role": "user", "content": "Calculate 15 * 23"}]
)

# Handle tool calls
if response.choices[0].message.tool_calls:
    results = manager.handle_tool_calls(response)

Supported LLM Providers

CLI Commands

skilllite install          # Install sandbox binary
skilllite install --force  # Force reinstall
skilllite status           # Check installation status
skilllite version          # Show version info
skilllite uninstall        # Remove installed binary
skilllite mcp              # Start MCP server (requires pip install skilllite[mcp])

Creating Skills

my-skill/
├── SKILL.md           # Required: Metadata and docs
├── scripts/
│   └── main.py        # Entry script
├── references/        # Optional: Reference docs
└── assets/            # Optional: Resource files

SKILL.md Example

---
name: my-skill
description: My custom skill
compatibility: Requires Python 3.x with requests library, network access
license: MIT
---

# My Skill

This skill does something useful.

Troubleshooting

Binary not found

echo 'export PATH="$HOME/.skillbox/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

Manual download

If auto-install fails, download from: https://github.com/EXboys/skilllite/releases

Building from source

git clone https://github.com/EXboys/skilllite.git
cd skilllite/skillbox
cargo build --release
cargo install --path .

Next Steps

• Read the Architecture Guide for detailed design
• Check Contributing Guide for contribution
• Explore benchmark/ for performance tests