Windows Desktop Automation

    by Timoranjes

    2

    High-performance Windows automation using native UI trees, OpenCV image matching, and Tesseract OCR.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    Open Notepad, type 'Automation Report', and open the Save As dialog. Verify the window is visible using OCR and report the status.

    Your agent does

    Main Window 'Notepad' found (PID: 8422). UI Element 'Edit' focus: OK. Action: Typed 'Automation Report' via UIA. Action: Menu select 'File -> Save As' successful. OCR Verify: Found text 'Save As' at (450, 320) with 94% confidence. Task completed in 1.4s.

    What you get

    Automate legacy Windows apps that lack APIs or web interfacesExtract text from non-selectable UI regions using high-accuracy OCRPerform multi-step GUI testing with native element identificationCreate reliable hotkey macros and automated data entry workflowsInteract with custom-drawn controls using OpenCV template matching

    About this skill

    What it does

    This skill provides a high-performance automation suite for Windows desktop applications. It leverages the native UI Automation (UIA) backend via pywinauto to interact directly with an application's accessibility tree, making it significantly faster and more reliable than traditional pixel-scanning tools.

    Why use this skill

    Unlike basic macro recorders, this developer-centric skill handles the complex reality of desktop automation. It provides a layered reliability model: if native UI elements are hidden, it falls back to OpenCV image matching; if text is non-selectable, it uses Tesseract OCR. This ensures your automations don't break when a window moves by a few pixels or a UI theme changes.

    Supported Tools & Frameworks

    • pywinauto: Native control interaction (buttons, menus, tree views, datagrids).
    • OpenCV: Computer vision for custom-drawn interfaces and games.
    • pytesseract: Optical Character Recognition for screen text extraction.
    • pyautogui: Global hotkeys, mouse movement, and low-level input.

    The Output

    Expect robust execution of desktop tasks. Instead of fragile coordinate-based clicks, the skill generates scripts that wait for specific UI states, interact with elements by their internal IDs, and handle window focus automatically. The result is "set and forget" automation for legacy software, ERP systems, and desktop utilities.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Trust & safety

    Security scanned

    Verified clean 3 months ago

    Listed3 months ago

    Creator

    Timoranjes
    Timoranjes

    128+ total installs · 83 skills on Agensi

    Frequently Asked Questions

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