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使用 PokeClaw 透過裝置端 AI 代理控制 Android 裝置

執行裝置端 Android 控制迴圈,本地檢視螢幕並執行應用程式操作,以實現行動自動化與測試工作流程。

使用 PokeClaw 透過裝置端 AI 代理控制 Android 裝置 是什麼?

這項技能讓開發者能夠直接從 AI 代理(如 Claude Code 或 Cursor)控制 Android 裝置,透過 PokeClaw 在裝置端運行完整的控制迴圈。它會檢視螢幕畫面,並可本地執行應用程式操作,無需持續連接主機電腦。支援多種運行時間,包括透過 Python CLI 或容器與 Portal APK 通訊的 DroidRun/Mobilerun,以及使用 ADB、UIAutomator 和螢幕截圖的 minitap/mobile-use 等外部框架。一個關鍵亮點是支援在裝置端運行 Gemma 4,用於本地、私密的控制,同時也允許為更複雜任務選擇性地使用雲端模型。此技能非常適合在本地裝置上進行行動自動化與測試,在敏感工作負載中優先考慮隱私和低延遲。主要限制包括任務狀態可能洩漏到後續運行,以及模型下載或 LiteRT 啟動可能失敗。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/control-android-devices-with-an-on-device-ai-agent-using-pokeclaw

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說明文件

使用 PokeClaw 透過裝置端 AI 代理控制 Android 裝置 是做什麼的?

執行裝置端 Android 控制迴圈,本地檢視螢幕並執行應用程式操作,以實現行動自動化與測試工作流程。

先決條件

PokeClaw;Android 裝置或模擬器;專案文件中記載的執行時期相依性

安裝

來自上游的注意事項與限制:

  • DroidRun/Mobilerun 本地/開源版本會在主機機器的 Python CLI/容器中執行代理迴圈,並透過 ADB/連接埠轉發與 Portal APK 通訊。Portal APK 使用 Android 無障礙服務來取得樹狀結構、手勢/滾動...
  • minitap/mobile-use、Mobile-Agent、AppAgent 和 AppAgentX 是外部 SDK/研究工具包,通常需要 Python 加上 ADB、UIAutomator、螢幕截圖、Docker、雲端手機或主機端模型/API 服務。
  • 任務執行期間不需要連接電腦

基本使用或入門說明:

文件

來源

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Calls Adobe Firefly

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