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windows-ui-controller

Windows 软件自动化控制技能包 - 使用 pywinauto 控制微信/QQ/网易云等任何 Windows 应用。包含完整教程、依赖包、最佳实践。

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/alimjan8800/windows-ui-controller
Or

What This Skill Does

The Windows UI Controller skill acts as an intelligent automation bridge between OpenClaw AI and the Windows desktop environment. By leveraging the power of pywinauto, this skill allows the AI to inspect, navigate, and interact with native Windows applications that lack standard APIs. It bridges the gap between traditional software interfaces—like WeChat, QQ, NetEase Cloud Music, or enterprise internal tools—and modern AI automation. The skill doesn't just 'blindly click'; it performs a structural scan of the UI components, identifying buttons, text fields, lists, and menus. It then maps the AI's intent to specific UI actions, such as clicking a 'Send' button or populating a login field, while continuously verifying the application's state after every individual action.

Installation

To begin using the Windows UI Controller, ensure you have the OpenClaw environment active. You can install the skill by running the following command in your terminal:

clawhub install openclaw/skills/skills/alimjan8800/windows-ui-controller

Once installed, the skill includes a dependencies folder. If you are operating in a restricted or offline environment, navigate to that directory and run pip install --no-index --find-links=. pywinauto to ensure all necessary system-level hooks are installed. For online environments, a standard pip install pywinauto is sufficient. Ensure you refer to the provided README.md for specific environment setup, including required Python 3.8+ versions.

Use Cases

This skill is designed for scenarios where automation cannot be achieved via standard web APIs or CLI tools. Common use cases include:

  1. Messaging Automation: Interacting with Windows-based desktop clients to archive messages or automate routine communications.
  2. Legacy Software Integration: Bridging data between modern AI and older Windows-native desktop applications that lack an export function.
  3. UI Testing: Automatically performing smoke tests on Windows software to ensure key buttons and menus remain functional across builds.
  4. Task Orchestration: Automatically opening specific software, configuring settings, and initiating downloads or file transfers based on natural language commands.

Example Prompts

  1. "Open the WeChat desktop application and send 'Hello' to my designated project contact list."
  2. "Search for the latest Jazz track in the NetEase Cloud Music desktop app and add it to my 'Chill Vibes' playlist."
  3. "Scan the settings menu in the current application and check if the 'Auto-update' checkbox is currently enabled; if not, toggle it on."

Tips & Limitations

  • Verification First: Never chain more than one interaction without asking the AI to verify the state. The UI might change during an operation; constant polling is the key to stability.
  • Use Visual Assistance: If an element is dynamically loaded or has an obscured name, use the built-in screen capture analysis to help the AI pinpoint exact coordinates.
  • Performance: Remember that UI automation is inherently slower than API calls. Avoid requesting rapid-fire interactions to prevent synchronization errors.
  • Safety Note: This skill interacts with your OS at a high level. Always monitor the AI while it is controlling sensitive applications to prevent unintended data submission or accidental deletions.

Metadata

Stars4473
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Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-alimjan8800-windows-ui-controller": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#windows#automation#pywinauto#desktop#robotics
Safety Score: 3/5

Flags: file-read, file-write, code-execution