--- name: android-ui-verification description: Automated end-to-end UI testing and verification on an Android Emulator using ADB. risk: safe source: community date_added: "2026-02-28" --- # Android UI Verification Skill 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. ## When to Use - Verifying UI changes in React Native or Native Android apps. - Autonomous debugging of layout issues or interaction bugs. - Ensuring feature functionality when manual testing is too slow. - Capturing automated screenshots for PR documentation. ## 🛠 Prerequisites - Android Emulator running. - `adb` installed and in PATH. - Application in debug mode for logcat access. ## 🚀 Workflow ### 1. Device Calibration Select the authorized emulator serial with `adb devices -l`; pass `-s SERIAL` to every command when multiple devices exist. Before interacting, inspect current display geometry and UI bounds to ensure tap coordinates are accurate. ```bash adb shell wm size ``` *Note: Size overrides, density, rotation and insets affect input coordinates. Prefer fresh UI bounds on the actual selected display rather than deriving coordinates solely from physical size.* ### 2. UI Inspection (State Discovery) Use the `uiautomator` dump to find the exact bounds of UI elements (buttons, inputs). ```bash 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. ### 3. Interaction Commands - **Tap**: `adb shell input tap ` (Use the center of the element bounds). - **Swipe**: `adb shell input swipe ` (Used for scrolling). - **Text Input**: `adb shell input text ""` (Note: Limited support for special characters). - **Key Events**: `adb shell input keyevent ` (e.g., 66 for Enter). ### 4. Verification & Reporting #### Visual Verification Capture a screenshot after interaction to confirm UI changes. ```bash adb shell screencap -p /sdcard/screen.png && adb pull /sdcard/screen.png ./artifacts/test_result.png ``` #### Analytical Verification Monitor the JS console logs in real-time to detect errors or log successes. ```bash adb logcat -d | grep "ReactNativeJS" | tail -n 20 ``` #### Cleanup Always store generated files in the `artifacts/` folder to satisfy project organization rules. ## 💡 Best Practices - **Wait for State**: Poll for the expected UI state with a bounded timeout; a fixed delay alone is not verification. - **Center Taps**: Calculate the arithmetic mean of `[x1,y1][x2,y2]` for the most reliable tap target. - **Log Markers**: Use distinct log messages in the code (e.g., `✅ Action Successful`) to make `grep` verification easy. - **Fail Fast**: If a `uiautomator dump` fails or doesn't find the expected text, stop and troubleshoot rather than blind-tapping. ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing. ## Bundled helper example From this skill’s directory, after selecting the authorized emulator, run `ANDROID_SERIAL=emulator-5554 bash scripts/verify_ui.sh login-screen`. Replace the example serial with the verified device. The inert, non-executable helper captures `artifacts/view.xml`, `artifacts/login-screen.png` and recent JS logs; it does not assert that the login flow passed. Inspect the captured state against the expected UI and keep artifacts private when they contain personal data. --- Source attribution: Alex Mastny Original project: https://github.com/sickn33/agentic-awesome-skills/blob/7c30e0cc313ccbdb542b4e58814c4dc5cb074175/skills/android_ui_verification/SKILL.md License: MIT + CC-BY-4.0 License information: https://creativecommons.org/licenses/by/4.0/ Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Antigravity User Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Creative Commons Attribution 4.0 International (CC BY 4.0) This file clarifies the license for original non-code repository content. - Original code and tooling remain licensed under the MIT License in `LICENSE`. - Original documentation and other non-code written content are licensed under the Creative Commons Attribution 4.0 International license unless a more specific upstream notice says otherwise. - Third-party attributions, upstream licenses, and exceptions are tracked in `docs/sources/sources.md`. Canonical license URL: https://creativecommons.org/licenses/by/4.0/ Review the full license text at the canonical URL before reuse. # Mega AI Hub resource metadata Creator / publisher: Alex Mastny Original project: https://github.com/sickn33/agentic-awesome-skills/blob/7c30e0cc313ccbdb542b4e58814c4dc5cb074175/skills/android_ui_verification/SKILL.md Attribution basis: Original package contribution recorded in publisher Git history Fields of work: Development & Engineering Roles: Frontend Developer, Mobile Developer, QA / Test Engineer Specialties: Word Documents, Frontend, Mobile, Playwright, React, Testing Tools: Adb, Android Emulator Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 168ab3bac06a389a5e65558df590736476d6e8c93a68921151a921d02c7c5129 Metadata reviewed: 2026-10-27 This metadata supersedes earlier Mega AI Hub catalog attribution. Original instruction and supporting files are preserved.