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Android e2e verification

Skill GuillemRoca/agent-skills-android/skills/android-e2e-verification

Production-grade engineering skills for AI coding agents tailored to Android

Install
npx -y skills add GuillemRoca/agent-skills-android --skill android-e2e-verification

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Use when a feature slice needs proof it works end-to-end on a device, or when closing the implement → run → assert loop for any UI-facing change. Maestro YAML flows turn acceptance criteria into executable checks that run against release builds locally, in CI, and via MCP from the agent.

SKILL.md

7.4 KB, as published. Nobody here has run it

Android E2E Verification (Maestro)

Overview

"It compiles and the unit tests pass" is not proof that a feature works. This skill closes the loop: every feature slice gets a Maestro flow — a YAML file of user actions and assertions derived from the spec's acceptance criteria — that runs black-box against the installed app. Implement, build, run the flow, watch it pass (or fix and re-run). The flow is committed next to the code, so the acceptance criterion stays executable forever.

Maestro drives the app over adb with no app-code changes, no test hooks, and no build instrumentation — it works on release builds and survives refactors that would break selector-heavy tests.

When to Use

  • Completing any feature slice with a user-visible flow (see incremental-implementation)
  • Turning a spec's acceptance criteria into executable checks (see spec-driven-development)
  • Verifying a bug fix actually fixes the user-facing behavior, not just the unit under test
  • Regression-protecting critical journeys (login, checkout, sync) in CI
  • Smoke-testing release candidates before rollout (see shipping-and-launch)

Skip when: The change has no runtime UI surface (pure data-layer refactor, build config) — unit/integration tests are the right layer. Don't use Maestro to test in-app logic permutations; that's what ViewModel and repository tests are for (see test-driven-development).

Core Process

Step 1: Install and Probe

  1. Install Maestro (single binary, Java 17+):
# Pin the version so CI and local runs agree
export MAESTRO_VERSION=2.6.1
curl -fsSL "https://get.maestro.mobile.dev" | bash
# or: brew install mobile-dev-inc/tap/maestro

maestro --version   # probe availability

If Maestro is unavailable in the environment, say so explicitly and fall back to Compose/Espresso tests plus android screen capture verification — never silently skip E2E verification.

Step 2: Write the Flow From Acceptance Criteria — Before Implementing

  1. Translate each acceptance criterion into a flow under .maestro/, named after the slice:
# .maestro/create-task.yaml
# Acceptance: "User can create a task and sees it in the list"
appId: com.example.tasks
---
- launchApp:
    clearState: true
- tapOn: "Add task"
- inputText: "Buy groceries"
- tapOn: "Save"
- assertVisible: "Buy groceries"
  1. Flow rules:
    • One flow per acceptance criterion; compose shared steps with runFlow:

      - runFlow: subflows/login.yaml
      
    • clearState: true on launchApp for deterministic starts

    • Assert on user-visible text or content descriptions — the same things a user sees

    • Wrap genuinely async steps in retry blocks instead of sprinkling waits:

      - retry:
          maxRetries: 3
          commands:
            - tapOn: "Sync"
            - assertVisible: "Synced"
      
    • Deterministic selectors first. assertWithAI: "the task list shows one completed item" is allowed only where a selector cannot express the assertion (visual patterns, dynamic third-party content) — AI assertions cost more and can flake

Step 3: Run the Loop

  1. Implement → build/install → run → fix → re-run:
./gradlew installDebug          # or: android run --apks=...
maestro test .maestro/create-task.yaml

A failing flow is the signal to keep working; a passing flow is the tangible evidence the slice is done. Capture evidence for the PR when useful:

maestro record .maestro/create-task.yaml   # video of the run
  1. Agent-driven loop (MCP): when the harness supports MCP, run maestro mcp to expose the device to the agent directly — the agent can tap, assert, and inspect live (Maestro Viewer) instead of shelling out per command. In headless/CI contexts, plain maestro test is the fallback. For ad-hoc exploration without Maestro, use android screen capture --annotate + android screen resolve (see references/android-cli-reference.md).

Step 4: Wire Into CI

  1. Run flows in the emulator job (see ci-cd-and-automation):
- name: E2E flows
  uses: reactivecircus/android-emulator-runner@v2
  with:
    api-level: 36
    arch: x86_64
    script: |
      ./gradlew installDebug
      maestro test .maestro/

maestro test .maestro/ runs every committed flow — the acceptance criteria of all shipped slices become the regression suite. For device-farm scale, maestro cloud runs the same flows on hosted devices.

Step 5: Choose the Right E2E Layer

  1. Maestro is one layer, not the only one:
LayerNatureReach for it when
Compose/Espresso testsWhite-box, in-process, Android-onlyScreen logic, state permutations, fastest feedback
Maestro flowsBlack-box YAML over adb, release buildsAcceptance criteria per slice, cross-screen journeys, CI regression
Journeys (android CLI / Studio)AI vision + natural languageExploratory coverage where maintaining selectors isn't worth it

Deterministic YAML sits between fully-scripted in-process tests and fully-AI Journeys: resilient like AI, repeatable like code.

Common Rationalizations

ShortcutWhy It Fails
"The unit tests pass, the feature works"Unit tests prove the pieces work in isolation. The user experiences the assembled flow — DI wiring, navigation, and manifest bugs live in the gaps.
"I'll write the flow after the feature is done"Written after, the flow describes what you built, not what was asked. Written first, it's the acceptance criterion made executable.
"Maestro isn't installed, I'll just say it works""It works" without a run is an assertion, not evidence. Say the tool is unavailable and verify another way — never claim an unrun check.
"I'll use assertWithAI everywhere, it's easier"AI assertions are slower, cost tokens, and can flake on ambiguity. Selectors are free and deterministic — AI is the escape hatch, not the default.
"E2E tests are flaky, not worth it"Flakiness comes from timing hacks and shared state. clearState, retry blocks, and user-visible assertions make flows boringly stable.

Red Flags

  • A completed feature slice with no flow under .maestro/
  • Flows that only launchApp and assert nothing
  • assertWithAI used where assertVisible would do
  • Sleep-style waits instead of retry blocks
  • Flows passing locally but not wired into the CI emulator job
  • "Verified manually" in a PR description with no recorded or committed flow
  • Maestro testing logic permutations that belong in ViewModel unit tests

Verification

  • Every acceptance criterion of the slice has a flow in .maestro/
  • maestro test .maestro/<slice>.yaml passes against the current build (paste the output)
  • Flows start from clearState: true (or document why not)
  • Assertions target user-visible text/content descriptions
  • assertWithAI only where a selector cannot express the assertion
  • CI runs maestro test .maestro/ in the emulator job
  • If Maestro was unavailable, the fallback verification used is stated explicitly

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