A comprehensive automation toolkit for controlling the Windows desktop environment, including GUI interaction, keyboard simulation, and system commands.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install windows-automation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install windows-automation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Windows Automation Skill provides a robust interface for interacting with the Microsoft Windows operating system at a desktop level. By integrating this into your set of Openclaw Skills, you can bridge the gap between AI reasoning and physical execution on a workstation. It enables agents to navigate non-web applications, manage system-level data, and perform actions that usually require a human operator.
This skill leverages industry-standard libraries like PyAutoGUI and PyWin32 to provide reliable control over the cursor, keyboard, and clipboard. Whether you are automating a legacy ERP system or managing complex local workflows, this skill turns your agent into a powerful desktop co-pilot.
The necessary dependencies are typically handled within the environment. If you need to perform a manual installation, use the following commands:
pip install pyautogui pywin32 pyperclip
Note: Ensure your display settings are configured correctly for coordinate-based clicking, and be aware that some secure applications may block simulated inputs.
The Windows Automation Skill organizes data through structured JSON responses and file-based outputs:
| Feature | Output Format | Description |
|---|---|---|
| Screen Size | {"width": int, "height": int} |
The current resolution of the primary monitor. |
| Cursor Position | {"x": int, "y": int} |
Precise coordinates of the mouse cursor. |
| System Info | JSON Object | Details on platform version and display metrics. |
| Screenshots | .png File | Visual captures saved to the local working directory. |
| Clipboard | Plain Text | String data retrieved from the Windows clipboard. |
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