Android e2e verification
Skill GuillemRoca/agent-skills-android/skills/android-e2e-verification
Production-grade engineering skills for AI coding agents tailored to Android
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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
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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
- 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
- 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"
- Flow rules:
-
One flow per acceptance criterion; compose shared steps with
runFlow:- runFlow: subflows/login.yaml -
clearState: trueonlaunchAppfor deterministic starts -
Assert on user-visible text or content descriptions — the same things a user sees
-
Wrap genuinely async steps in
retryblocks 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
- 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
- Agent-driven loop (MCP): when the harness supports MCP, run
maestro mcpto 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, plainmaestro testis the fallback. For ad-hoc exploration without Maestro, useandroid screen capture --annotate+android screen resolve(seereferences/android-cli-reference.md).
Step 4: Wire Into CI
- 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
- Maestro is one layer, not the only one:
| Layer | Nature | Reach for it when |
|---|---|---|
| Compose/Espresso tests | White-box, in-process, Android-only | Screen logic, state permutations, fastest feedback |
| Maestro flows | Black-box YAML over adb, release builds | Acceptance criteria per slice, cross-screen journeys, CI regression |
Journeys (android CLI / Studio) | AI vision + natural language | Exploratory 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
| Shortcut | Why 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
launchAppand assert nothing assertWithAIused whereassertVisiblewould do- Sleep-style waits instead of
retryblocks - 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>.yamlpasses against the current build (paste the output) - Flows start from
clearState: true(or document why not) - Assertions target user-visible text/content descriptions
-
assertWithAIonly 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