A comprehensive suite for AI agents to automate and control Linux desktop environments on X11.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install peekaboox
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 peekaboox using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Linux Desktop GUI Automation skill provides a robust toolkit for AI agents to interact with graphical user interfaces on Linux. By utilizing X11-native utilities, this skill allows agents to perform tasks like capturing screenshots, identifying UI elements through vision, and executing precise mouse and keyboard actions. It effectively bridges the gap between LLM processing and visual desktop interaction.
Leveraging these Openclaw Skills is essential for developers needing to automate desktop apps, perform GUI testing, or manage remote environments. The package includes tools for advanced window management, such as focusing, resizing, and moving windows, giving the agent full control over the desktop workspace.
Ensure your system is running an X11 session and has the required utilities installed. These Openclaw Skills require xdotool, wmctrl, and scrot.
# Run the installation script to fetch dependencies
bash install.sh
# Confirm the DISPLAY environment variable is correctly set
export DISPLAY=:0
The tools in this skill set produce structured output, with an optional JSON flag for better agent integration.
| Tool | Purpose | Output Example |
|---|---|---|
| capture.sh | Visual Capture | Path to the saved .png file |
| inspect.sh | Window Metadata | List of active windows with IDs and titles |
| type.sh | Text Input | Confirmation of keystroke delivery |
| window.sh | Workspace Management | Success status of focus/move/resize actions |
Using the --json flag across these Openclaw Skills ensures the AI agent receives parseable data for logical branching.
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