open-skills

<div align="center"> [](https://github.com/BandarLabs/open-skills/stargazers) [](https://github.com/BandarLabs/open-skills/blob/master/LICENSE) </div> ``` ___ ____ _____ _ _ ____ _ _____ _ _ ____ / _ \| _ \| ____| \ | | / ___|| |/ /_ _| | | | / ___| | | | | |_) | _| | \| | \___ \| ' / | || | | | \___ \ | |_| | __/| |___| |\ | ___) | . \ | || |___| |___ ___) | \___/|_| |_____|_| \_| |____/|_|\_\___|_____|_____|____/ ``` # OpenSkills: Run Claude Skills Locally on Your Mac Anthropic recently announced [Skills for Claude](https://www.anthropic.com/news/skills) - reusable folders with instructions, scripts, and resources that make Claude better at specialized tasks. This tool lets you run these skills **entirely on your local machine** in a sandboxed environment. **What this means:** You can now process your files (documents, spreadsheets, presentations, images) using these specialized skills while keeping all data on your Mac. No uploads, complete privacy. > This tool executes AI-generated code in a truly isolated sandboxed environment on your Mac using Apple's native containers. ## Demo Watch Open-Skills in action with Gemini CLI:  ## Why Run Skills Locally? - **Privacy:** Process sensitive documents, financial data - **Full Control:** Skills execute in an isolated container with VM-level isolation - **Compatibility:** Works with Claude Desktop, Gemini CLI, Qwen CLI, or any MCP-compatible tool - **Extensibility:** Import Anthropic's official skills or create your own custom skills ## Quick Start **Prerequisites:** Mac with macOS and Apple Silicon (M1/M2/M3/M4/M5), Python 3.10+ ```bash git clone https://github.com/BandarLabs/open-skills.git cd open-skills chmod +x install.sh ./install.sh ``` Installation takes ~2 minutes. The MCP server will be available at `http://open-skills.local:8222/mcp` **Install required packages** (use virtualenv and note the python path): ```bash pip install -r examples/requirements.txt ``` ## Setup: Connect Your AI Tool This MCP server works with any MCP-compatible tool. All execution happens locally on your Mac. ### Option 1: Claude Desktop Integration Configure Claude Desktop to use this MCP server: 1. **Copy the example configuration:** ```bash cd examples cp claude_desktop/claude_desktop_config.example.json claude_desktop/claude_desktop_config.json ``` 2. **Edit the configuration file** and replace the placeholder paths: - Replace `/path/to/your/python` with your actual Python path (e.g., `/usr/bin/python3` or `/opt/homebrew/bin/python3`) - Replace `/path/to/open-skills` with the actual path to your cloned repository Example after editing: ```json { "mcpServers": { "open-skills": { "command": "/opt/homebrew/bin/python3", "args": ["/Users/yourname/open-skills/examples/claude_desktop/mcpproxy.py"] } } } ``` 3. **Update Claude Desktop configuration:** - Open Claude Desktop - Go to Settings → Developer - Add the MCP server configuration - Restart Claude Desktop ### Option 2: Gemini CLI Configuration Edit `~/.gemini/settings.json`: ```json { "theme": "Default", "selectedAuthType": "oauth-personal", "mcpServers": { "open-skills": { "httpUrl": "http://open-skills.local:8222/mcp" } } } ``` For system instructions, replace `~/.gemini/GEMINI.md` with [GEMINI.md](examples/gemini_cli/GEMINI.md) ### Option 3: Python OpenAI Agents Use this server with OpenAI's Python agents library: 1. **Set your OpenAI API key:** ```bash export OPENAI_API_KEY="your-openai-api-key-here" ``` 2. **Run the client:** ```bash python examples/openai_agents/openai_client.py ``` ### Other Supported Tools - **Qwen CLI:** Configure similar to Gemini CLI - **Kiro by Amazon:** See examples in this repository for configuration - **Any MCP client:** Point to `http://open-skills.local:8222/mcp` ## Example Use Cases Once configured, you can ask your AI to: - "Create a professional PowerPoint presentation from this markdown outline" - "Extract all tables from these 10 PDFs and combine into one Excel spreadsheet" - "Generate ASCII art logo for my project" - "Fill out this tax form PDF with data from my CSV file" - "Batch process these 100 images: crop to 16:9 and rotate 90 degrees" ## Adding New Skills You can extend this server with additional skills in two ways: ### Option 1: Import Anthropic's Official Skills Download skills from [Anthropic's skills repository](https://github.com/anthropics/skills/) and copy to: ``` ~/.open-skills/assets/skills/user/<new-skill-folder> ``` **Available Official Skills:** - Microsoft Word (docx) - Microsoft PowerPoint (pptx) - Microsoft Excel (xlsx) - PDF manipulation - Image processing - Slack GIF creator - And more... ### Skills Directory Structure Here's an example with 4 imported skills: ```shell ~/.open-skills/assets/skills/ ├── public │ ├── image-crop-rotate │ │ ├── scripts │ │ └── SKILL.md │ └── pdf-text-replace │ ├── scripts │ └── SKILL.md └── user ├── docx │ ├── docx-js.md │ ├── LICENSE.txt │ ├── ooxml │ ├── ooxml.md │ ├── scripts │ └── SKILL.md ├── pptx │ ├── html2pptx.md │ ├── LICENSE.txt │ ├── ooxml │ ├── ooxml.md │ ├── scripts │ └── SKILL.md ├── slack-gif-creator │ ├── core │ ├── LICENSE.txt │ ├── requirements.txt │ ├── SKILL.md │ └── templates └── xlsx ├── LICENSE.txt ├── recalc.py └── SKILL.md ``` ### Option 2: Create Your Own Skills Create a folder matching the structure shown above. The only mandatory file is `SKILL.md`. See [Anthropic's skills documentation](https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview) for details. **Quick Method:** Ask Claude to generate a skill for you: > "Can you write a skill which creates ASCII art of words?" Claude will create the skill and offer a ZIP download. Place the ZIP file directly in `~/.open-skills/assets/skills/user` (no need to expand). **Manual Method:** Create your own skill folder structure: ``` ~/.open-skills/assets/skills/user/my-custom-skill/ ├── SKILL.md # Documentation and usage examples ├── scripts/ # Your Python/bash scripts │ └── process.py └── requirements.txt # (optional) Python dependencies ``` ## How Folder Mapping Works This MCP server provides a compatibility layer that lets you run Claude's skills locally without modification: **Path Translation:** - Claude's path: `/mnt/user-data` → Local path: `/app/uploads` - Skills designed for Claude work locally without any changes **Accessing Your Local Files:** - Place files in `~/.open-skills/assets/outputs` on your Mac - They become available to skills inside the container via volume mounts - The mapping is automatic - skills can access your files without cloud upload **Skill Structure:** - No changes needed to imported skills - Original folder hierarchy and file organization remain identical - Import Claude skills and use them directly ## Live Demo: ASCII Art Skill Here's a real example using Gemini CLI: ``` > /mcp Configured MCP servers: 🟢 open-skills - Ready (5 tools) Tools: - execute_python_code - get_skill_file - get_skill_info - list_skills - navigate_and_get_all_visible_text > can you generate ascii art for my project ✦ I will generate the ASCII art you desire. First, I must survey my available skills. ✓ list_skills (open-skills MCP Server) ✦ I have located a relevant skill: ascii-art. I will now retrieve its instructions. ✓ get_skill_info (open-skills MCP Server) {"skill_name":"ascii-art"} ✦ Your ASCII art is ready: ___ ____ _____ _ _ ____ _ _____ _ _ ____ / _ \| _ \| ____| \ | | / ___|| |/ /_ _| | | | / ___| | | | | |_) | _| | \| | \___ \| ' / | || | | | \___ \ | |_| | __/| |___| |\ | ___) | . \ | || |___| |___ ___) | \___/|_| |_____|_| \_| |____/|_|\_\___|_____|_____|____/ Using: 1 GEMINI.md file | 3 MCP servers (ctrl+t to view) ``` **What happened:** 1. AI discovered available skills via `list_skills` 2. Found the relevant `ascii-art` skill 3. Retrieved skill instructions with `get_skill_info` 4. Executed the skill locally in the sandbox 5. Returned results - all without uploading any data to the cloud ## Security Code runs in an isolated container with VM-level isolation. Your host system and files outside the sandbox remain protected. From [@apple/container](https://github.com/apple/container/blob/main/docs/technical-overview.md): >Each container has the isolation properties of a full VM, using a minimal set of core utilities and dynamic libraries to reduce resource utilization and attack surface. ## Architecture This MCP server consists of: - **Sandbox Container:** Isolated execution environment with Jupyter kernel - **MCP Server:** Handles communication between AI models and the sandbox - **Skills System:** Pre-packaged tools for common tasks (PDF manipulation, image processing, etc.) ## Available MCP Tools When connected, this server exposes these tools to your AI: - `execute_python_code` - Execute code in the sandbox - `get_skill_file` - Read skill files - `get_skill_info` - Get skill documentation - `list_skills` - List all available skills - `navigate_and_get_all_visible_text` - Web scraping with Playwright ## Learn More - **GitHub Repository:** [github.com/BandarLabs/open-skills](https://github.com/BandarLabs/open-skills) - **Anthropic Skills:** [github.com/anthropics/skills](https://github.com/anthropics/skills) - **Skills Documentation:** [docs.claude.com/skills](https://docs.claude.com/en/docs/agents-and-tools/agent-skills/overview) - **Blog: Building Offline Workspace:** [instavm.io/blog/building-my-offline-workspace-part-2-skills](https://instavm.io/blog/building-my-offline-workspace-part-2-skills) - **Report Issues:** [github.com/BandarLabs/open-skills/issues](https://github.com/BandarLabs/open-skills/issues) ## Contributing We welcome contributions! If you create useful skills or improve the implementation, please share them with the community. ## License This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.