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Desktop Control is a comprehensive desktop automation skill for OpenClaw that provides programmatic control over mouse, keyboard, screen capture, window management, and clipboard operations. Built on PyAutoGUI, it turns your AI agent into a full desktop automation engine capable of interacting with any application through simulated input and visual recognition.

Key Features

Complete mouse control including absolute and relative positioning, clicking, dragging, scrolling, and multi-button support
Keyboard automation with text typing at configurable speed, hotkey combinations, special key presses, and manual key state control
Screen capture and image recognition using OpenCV template matching to locate UI elements, with full-screen and region-specific screenshots
Window management for listing, activating, minimizing, and maximizing windows by title, plus position and size queries
Multi-monitor support with pixel color detection for precise visual state verification
Built-in safety failsafe — moving the mouse to any corner of the screen immediately aborts all running automation

Use Cases

Automating repetitive desktop workflows that span multiple applications not accessible through APIs
Testing desktop applications by simulating realistic user interactions with configurable timing
Building end-to-end automation pipelines that bridge web-based and desktop-based tools
Creating assistive automation for accessibility scenarios where programmatic input control is needed

How It Works

The skill exposes a

DesktopController

class that accepts method calls for mouse, keyboard, screen, and window operations. Commands execute sequentially with optional timing parameters that simulate realistic human interaction speeds. Image recognition uses OpenCV template matching to find UI elements on screen, enabling automation that adapts to dynamic layouts rather than relying on fixed coordinates.

Getting Started

Install the required Python packages with

pip install pyautogui pillow opencv-python pygetwindow

, then import the controller with

from skills.desktop_control import DesktopController

. The skill includes an approval-mode with confirmation prompts for sensitive operations and logs all actions for auditability.

Desktop Control

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Key Features

Use Cases

How It Works

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Quick Start

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open-gstack-browser

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setup-browser-cookies

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