Linux Desktop GUI Automation for Openclaw

A comprehensive suite for AI agents to automate and control Linux desktop environments on X11.

gedigi
v1.0.0
Feb 19, 2026
3
1.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install peekaboox

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Linux Desktop GUI Automation?

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.

Linux Desktop GUI Automation Use Cases

  • Automating repetitive tasks in graphical apps without APIs.
  • Executing end-to-end GUI testing for Linux desktop software.
  • Managing and troubleshooting remote Linux environments via AI agents.
  • Enhancing AI agent capabilities to interact with visual data using Openclaw Skills.
  • Streamlining desktop workflows through programmed hotkeys and window positioning.

How Linux Desktop GUI Automation Works

  1. The agent captures the screen or a specific window using the capture.sh script.
  2. The image is analyzed by the agent (often using a vision model) to determine pixel coordinates for interaction.
  3. Precise actions are executed using scripts like click.sh, type.sh, or hotkey.sh.
  4. Window states are queried or modified via inspect.sh and window.sh to maintain the workflow context.
  5. Success is verified by capturing a new screenshot to confirm the UI has updated as expected using Openclaw Skills.

Linux Desktop GUI Automation Setup

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

Linux Desktop GUI Automation Data Schema & Taxonomy

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.

Linux Desktop GUI Automation Advanced Features

  • Support for headless environments using Xvfb virtual displays.
  • Complex keyboard macro execution via X11 key conventions.
  • Relative coordinate system for clicking within specific window boundaries.
  • Detailed window inspection including class, geometry, and active state.
  • Seamless integration with vision-capable LLMs for autonomous navigation within Openclaw Skills.

SKILL.md


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