A portable Windows automation skill featuring a self-bootstrapping runtime and standalone MCP server for seamless desktop control.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install computer-use-windows
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install computer-use-windows using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Windows Computer-Use Skill?
The Windows Computer-Use Skill is a specialized tool designed for AI agents to interact directly with the Windows operating system. Unlike other implementations that rely on local Claude binaries or private native modules, this skill provides a bundled, standalone runtime. This ensures a clean, isolated environment that auto-bootstraps its own Python dependencies upon its first launch, making it one of the most reliable Openclaw Skills for desktop automation.
By focusing exclusively on the Windows ecosystem, the skill leverages specific desktop-control backends to provide high-performance OS interaction. It is built to be portable and self-contained, allowing developers to integrate complex computer-use capabilities without worrying about external application assets or cross-platform conflicts. This makes it an essential component for users looking for robust Openclaw Skills that require direct GUI manipulation.
Windows Computer-Use Skill Use Cases
- Automated GUI testing and quality assurance on Windows environments.
- Executing complex desktop-level tasks via AI agent workflows.
- Developing standalone MCP-based automation scripts for local environments.
- Controlling legacy Windows applications that lack official APIs.
How Windows Computer-Use Skill Works
- The skill installs the bundled project structure into the local directory designated for Openclaw Skills.
- During the build phase, the system compiles the TypeScript-based MCP server to prepare the communication layer.
- On the initial execution, the system automatically triggers a bootstrap process to create a virtual Python environment.
- It installs all necessary public Python dependencies required for native Windows desktop control.
- The MCP server facilitates the bridge between the AI model's instructions and the Windows OS backend for action execution.
Windows Computer-Use Skill Setup
To set up this addition to your Openclaw Skills collection, navigate to the skill directory and run the build commands:
cd ~/.codex/skills/computer-use-windows/project
npm install
npm run build
To launch the skill and initialize the runtime:
node dist/cli.js
Windows Computer-Use Skill Data Schema & Taxonomy
| Component | Description | Default Path |
|---|---|---|
| Project Root | The main directory containing the skill source and project files | ~/.codex/skills/computer-use-windows/project |
| Python Runtime | The self-contained virtual environment created on first run | ./project/.runtime/venv |
| Build Output | Compiled JavaScript files for the MCP server execution | ./project/dist/ |
| System Blocklist | Logic ensuring Windows-specific shortcut safety | Internal |
Windows Computer-Use Skill Advanced Features
- Auto-bootstrapping Python runtime for zero-manual-dependency environment setups.
- Specialized Windows-specific shortcut denylist logic to prevent accidental system interruptions.
- MCP-layer action gating to ensure security and control over desktop interactions.
- Standalone architecture that eliminates the need for local Claude binaries or hidden app assets.
- High-integrity build validation ensuring TypeScript and Python helper syntax are optimized for Windows.
SKILL.md
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