Compose: UI testing patterns
SkillDev toolsGuides your agent to write reliable Jetpack Compose UI tests using semantics assertions, fakes, and screenshot baselines.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Compose: UI testing patterns skill
About this skill
Use when writing or reviewing Jetpack Compose UI tests, screenshot tests or baseline-recording evidence, previews, semantics assertions, fake image loading, keyboard input, focus assertions, interaction state (hover/pressed/focused), or tests for plain state-driven UI composables.
What this skill tells your AI
The instructions your AI receives, as published by chrisbanes/skills in skills/compose-ui-testing-patterns/SKILL.md and read by ahel’s review.
Core principle
Test the smallest UI contract that proves the behavior. Prefer plain state-driven UI tests with callbacks. Add integration only when lifecycle, navigation, DI, or platform behavior is the thing under test.
Procedure
- State the behavior and test concern the task asks you to prove.
- Inspect the existing test against that concern and choose the smallest sufficient seam from the table below.
- Keep focused edits within the requested test concern. Do not move test-only helpers into production or broaden production APIs unless that production boundary is itself under test.
- Drive controlled state or input, synchronize through Compose when needed, and assert an observable semantic, visual, or callback result.
- Finish with no edit when the existing test already uses the narrowest valid seam and proves the requested behavior.
Test target choice
| What you need to prove | Test shape |
|---|---|
| Text, button, loading/error branch, conditional content | Plain UI Compose test |
| Callback wiring from click/input | Plain UI Compose test |
| Focus navigation or keyboard behavior | Compose test with key input |
| Visual layout, clipping, elevation, typography, image composition | Screenshot test |
| State holder updates UI correctly | State holder/unit test plus one wiring smoke test |
| Hover, pressed, focused, dragged interaction state | Plain UI test with MutableInteractionSource |
| Navigation, lifecycle, DI integration | Integration test |
Prefer plain UI tests
If the screen has a state holder/UI split, test the plain UI composable:
composeTestRule.setContent {
ProfileScreen(
state = ProfileUiState(name = "Ada", canSave = true),
onNameChange = {},
onSaveClick = { saved = true },
onBackClick = {},
)
}
composeTestRule.onNodeWithText("Ada").assertIsDisplayed()
composeTestRule.onNodeWithText("Save").performClick()
assertThat(saved).isTrue()
This avoids constructing ViewModels, components, repositories, navigation, and dependency graphs for layout behavior.
Semantics first
Assert semantics when behavior is semantic:
- Text exists:
onNodeWithText. - Button is enabled/disabled:
assertIsEnabled,assertIsNotEnabled. - Content is selected/focused/toggled: use semantics assertions.
- Content is absent:
assertDoesNotExist.
Use test tags for nodes that have no stable user-visible text or where multiple nodes share text. Do not use tags as the first choice for all assertions; user-visible semantics are usually stronger.
Callback testing
Use simple counters or captured values:
var selectedId: String? = null
composeTestRule.setContent {
ItemList(
items = listOf(ItemUi("movie-1", "Movie")),
onItemClick = { selectedId = it },
)
}
composeTestRule.onNodeWithText("Movie").performClick()
assertThat(selectedId).isEqualTo("movie-1")
For plain captured callback values, a direct assertion after the action is usually enough. Use runOnIdle when the assertion needs Compose to finish applying snapshot state, recomposition, or queued UI work before reading the result.
Keep UI tests deterministic
For layout, branch, and callback behavior, render controlled state with setContent instead of constructing the production app graph. Production DI, repositories, lifecycle observers, and background effects add asynchronous work that is irrelevant to a plain UI contract and can make the test flaky.
Do not use Thread.sleep to wait for Compose. Drive the UI to a known state, then use semantic assertions and Compose synchronization (waitForIdle, runOnIdle, or a bounded waitUntil for a real asynchronous condition). Reserve full-app integration for behavior that actually depends on navigation, lifecycle, DI, or platform wiring.
Interaction state with MutableInteractionSource
When interaction state is the concern, read the interaction-state procedure completely before writing or reviewing the test. It requires direct, injected interaction state rather than fragile pointer simulation.
Keyboard and focus
For keyboard, TV, and desktop UI, drive navigation with the same input model users use (keys/D-pad), not clicks alone. Assert focused semantics, not colors or scale; reserve screenshots for visual focus treatment. If the inspected composable exposes no input surface that can change the state, name the missing host or parent interaction seam before proposing a key-driven test; do not assume a selector or control exists in the supplied UI.
Details—focus graph, FocusRequester, restoration, key handlers, and test patterns: compose-focus-navigation.
Screenshot tests
Use screenshots for visual contracts that semantics cannot prove:
- Layout spacing/alignment.
- Themed colors, typography, elevation, shadows.
- Image composition, gradients, overlays.
- Focus highlight appearance.
- Loading skeletons or dense visual states.
Keep screenshot state deterministic:
- Use fixed state data.
- Freeze clocks or animation progress when possible.
- Replace network/image loading with fake or preview handlers.
- Avoid asserting dynamic text such as current time unless controlled.
When screenshot defaults change
- Keep an intentionally changed named preset or default in the test and update its baseline. Do not substitute a raw value to retain the old image; preserve assertions and tolerances unless independently justified.
- Keep an explicit fixed value when that fixed resolution or geometry is the contract.
- Verify recording separately from comparison: inspect the expected artifact paths and intentional baseline diff. Read the exact output path from the test, confirm that artifact exists, and name that literal path in the verification evidence. When a verification log reports a pass, state what passed and then check recording independently; a passing comparison does not prove that recording wrote the artifact. If the artifact or baseline diff is unavailable, report that gap rather than claiming recording succeeded. Keep tool-specific commands in the repository runbook.
Fake images and platform services
When image content is irrelevant, fake the loader and assert the requested model if that is the behavior. The exact hook depends on your image library; a project helper might look like this:
val requestedModels = mutableListOf<Any?>()
// Example helper, not a Compose API.
setContentWithFakeImageLoader { request ->
requestedModels += request.data
errorPainter()
}
When image appearance matters, provide a deterministic local painter/bitmap instead of network data.
Signals
- GitHub stars
- 1k
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
skills-compose-ui-testing-patterns- Source
- github.com/chrisbanes/skills