android-ui-automator-preview

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Capture quick Android UI evidence with explicit launches, UIAutomator dumps, and adb screenshots for fast visual debugging and reproducible repro notes.

AniTrend By AniTrend schedule Updated 6/8/2026

name: android-ui-automator-preview description: 'Capture quick Android UI evidence with explicit launches, UIAutomator dumps, and adb screenshots for fast visual debugging and reproducible repro notes.' argument-hint: 'Provide the full application ID, target screen, and whether app data should be cleared first'

Android UI Automator Preview

What This Skill Produces

  • A deterministic launch path into the real app activity.
  • Repeatable post-clear-data navigation steps for AniTrend onboarding flows.
  • Paired UI evidence: XML hierarchy plus PNG screenshot.
  • Fast text extraction from dumps to confirm whether expected labels are present.

When To Use

  • You need quick visual proof of what is currently on-screen.
  • A repro depends on onboarding or permission prompts after pm clear.
  • You suspect drawer/menu truncation and need objective evidence before code changes.

Preconditions

  • If the full application ID is not provided, stop and ask for it before running any adb command.
  • If the target device is not the expected resolution or density, re-derive coordinates from a fresh uiautomator dump or scale them from the recorded 1080x2400 @ 420dpi baseline.
  • If the user says app data should not be cleared, skip the clear-data command and continue from the explicit launch step.

Procedure

  1. Start from a known state.
adb devices -l
adb logcat -c
# Only run when the user explicitly asks to clear app data:
# adb shell pm clear <package-name>
  1. Launch the intended activity explicitly.
adb shell am start -n <package-name>/co.anitrend.android.deeplink.component.screen.DeepLinkScreen

Why:

  • Replace <package-name> with the application ID for the installed build.
  • The activity class is fixed for AniTrend; replace it only if you are targeting a different app.
  • Explicit launch avoids monkey randomness.
  1. Drive onboarding and permission prompts (AniTrend profile).

These coordinates are a recorded baseline for 1080x2400 @ 420dpi only. Re-derive coordinates from a fresh uiautomator dump before using them on a different device or resolution.

# Recorded baseline only - re-derive for your device:
# adb shell input swipe 900 1700 200 1700 300  # onboarding page 1 -> 2
# adb shell input swipe 900 1700 200 1700 300  # onboarding page 2 -> 3
# adb shell input swipe 900 1700 200 1700 300  # onboarding page 3 -> 4
# adb shell input swipe 900 1700 200 1700 300  # onboarding page 4 -> 5
# adb shell input tap 540 2280                # tap Get Started
# adb shell input tap 540 1285                # tap Allow
  1. Open target UI (example: drawer nav button region).
# Recorded baseline only - re-derive for your device:
# adb shell input tap 84 2240
  1. Capture XML and screenshot.
adb shell uiautomator dump /sdcard/window_dump.xml
adb pull /sdcard/window_dump.xml /tmp/window_dump.xml
adb exec-out screencap -p > /tmp/screen.png
  1. Validate expected labels.
grep -E "General|Manage|Catalogs|Support|Home|Discover|News|Forums|Episodes|FAQ" /tmp/window_dump.xml
  1. Optional: capture process-scoped logs during same window.
pid=$(adb shell pidof -s <package-name> | tr -d '\r')
adb logcat -d --pid="$pid" > /tmp/<package-name>-ui-window.log

Completion Checklist

  • Explicit activity launch command recorded.
  • XML dump and PNG screenshot captured from same UI state.
  • Any onboarding/permission steps documented with tap/swipe actions.
  • At least one text-based assertion from the XML hierarchy included.

Fast Invocation Examples

  • "Capture current drawer screen as XML + PNG after clear-data flow"
  • "Run explicit launch and show whether onboarding is blocking main shell"
  • "Grab small screenshot proof for this emulator repro"
Install via CLI
npx skills add https://github.com/AniTrend/anitrend-v2 --skill android-ui-automator-preview
Repository Details
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navigation Branch main
article Path SKILL.md
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