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Automated end-to-end UI testing and verification on an Android Emulator using ADB.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | android_ui_verification |
| description | Automated end-to-end UI testing and verification on an Android Emulator using ADB. |
| risk | safe |
| source | community |
This skill provides a systematic approach to testing React Native applications on an Android emulator using ADB commands. It allows for autonomous interaction, state verification, and visual regression checking.
adb installed and in PATH.Before interacting, always verify the screen resolution to ensure tap coordinates are accurate.
adb shell wm size
Note: Layouts are often scaled. Use the physical size returned as the base for coordinate calculations.
Use the uiautomator dump to find the exact bounds of UI elements (buttons, inputs).
adb shell uiautomator dump /sdcard/view.xml && adb pull /sdcard/view.xml ./artifacts/view.xml
Search the view.xml for text, content-desc, or resource-id. The bounds attribute [x1,y1][x2,y2] defines the clickable area.
adb shell input tap <x> <y> (Use the center of the element bounds).adb shell input swipe <x1> <y1> <x2> <y2> <duration_ms> (Used for scrolling).adb shell input text "<message>" (Note: Limited support for special characters).adb shell input keyevent <code_id> (e.g., 66 for Enter).Capture a screenshot after interaction to confirm UI changes.
adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.png ./artifacts/test_result.png
Monitor the JS console logs in real-time to detect errors or log successes.
adb logcat -d | grep "ReactNativeJS" | tail -n 20
Always store generated files in the artifacts/ folder to satisfy project organization rules.
[x1,y1][x2,y2] for the most reliable tap target.✅ Action Successful) to make grep verification easy.uiautomator dump fails or doesn't find the expected text, stop and troubleshoot rather than blind-tapping.Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling".
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