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kotlin-coroutines-flows

Guidance on structured concurrency and Flow operators for Kotlin/Android development.

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Activation

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Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.
137 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Implement structured concurrency using scope hierarchy
  • Decompose parallel work with coroutineScope and async
  • Manage child coroutine failures with supervisorScope
  • Convert one-shot data to reactive streams using cold flows
  • Manage UI state with StateFlow and combine multiple flows
  • Handle one-time events with SharedFlow

How it works

The skill guides the implementation of Kotlin Coroutines and Flows by applying structured concurrency, managing scopes, and using various Flow operators. It also covers testing strategies for coroutines and Flows.

Inputs & outputs

You give it
Asynchronous code, reactive data streams, or concurrent operations
You get back
Structured coroutine implementation, Flow-based reactive streams, or tested coroutine logic

When to use kotlin-coroutines-flows

  • Implement structured concurrency
  • Use flow operators
  • Test coroutine logic

About this skill

Kotlin Coroutines & Flows

Patterns for structured concurrency, Flow-based reactive streams, and coroutine testing in Android and Kotlin Multiplatform projects.

When to Activate

  • Writing async code with Kotlin coroutines
  • Using Flow, StateFlow, or SharedFlow for reactive data
  • Handling concurrent operations (parallel loading, debounce, retry)
  • Testing coroutines and Flows
  • Managing coroutine scopes and cancellation

Structured Concurrency

Scope Hierarchy

Application
  └── viewModelScope (ViewModel)
        └── coroutineScope { } (structured child)
              ├── async { } (concurrent task)
              └── async { } (concurrent task)

Always use structured concurrency — never GlobalScope:

// BAD
GlobalScope.launch { fetchData() }

// GOOD — scoped to ViewModel lifecycle
viewModelScope.launch { fetchData() }

// GOOD — scoped to composable lifecycle
LaunchedEffect(key) { fetchData() }

Parallel Decomposition

Use coroutineScope + async for parallel work:

suspend fun loadDashboard(): Dashboard = coroutineScope {
    val items = async { itemRepository.getRecent() }
    val stats = async { statsRepository.getToday() }
    val profile = async { userRepository.getCurrent() }
    Dashboard(
        items = items.await(),
        stats = stats.await(),
        profile = profile.await()
    )
}

SupervisorScope

Use supervisorScope when child failures should not cancel siblings:

suspend fun syncAll() = supervisorScope {
    launch { syncItems() }       // failure here won't cancel syncStats
    launch { syncStats() }
    launch { syncSettings() }
}

Flow Patterns

Cold Flow — One-Shot to Stream Conversion

fun observeItems(): Flow<List<Item>> = flow {
    // Re-emits whenever the database changes
    itemDao.observeAll()
        .map { entities -> entities.map { it.toDomain() } }
        .collect { emit(it) }
}

StateFlow for UI State

class DashboardViewModel(
    observeProgress: ObserveUserProgressUseCase
) : ViewModel() {
    val progress: StateFlow<UserProgress> = observeProgress()
        .stateIn(
            scope = viewModelScope,
            started = SharingStarted.WhileSubscribed(5_000),
            initialValue = UserProgress.EMPTY
        )
}

WhileSubscribed(5_000) keeps the upstream active for 5 seconds after the last subscriber leaves — survives configuration changes without restarting.

Combining Multiple Flows

val uiState: StateFlow<HomeState> = combine(
    itemRepository.observeItems(),
    settingsRepository.observeTheme(),
    userRepository.observeProfile()
) { items, theme, profile ->
    HomeState(items = items, theme = theme, profile = profile)
}.stateIn(viewModelScope, SharingStarted.WhileSubscribed(5_000), HomeState())

Flow Operators

// Debounce search input
searchQuery
    .debounce(300)
    .distinctUntilChanged()
    .flatMapLatest { query -> repository.search(query) }
    .catch { emit(emptyList()) }
    .collect { results -> _state.update { it.copy(results = results) } }

// Retry with exponential backoff
fun fetchWithRetry(): Flow<Data> = flow { emit(api.fetch()) }
    .retryWhen { cause, attempt ->
        if (cause is IOException && attempt < 3) {
            delay(1000L * (1 shl attempt.toInt()))
            true
        } else {
            false
        }
    }

SharedFlow for One-Time Events

class ItemListViewModel : ViewModel() {
    private val _effects = MutableSharedFlow<Effect>()
    val effects: SharedFlow<Effect> = _effects.asSharedFlow()

    sealed interface Effect {
        data class ShowSnackbar(val message: String) : Effect
        data class NavigateTo(val route: String) : Effect
    }

    private fun deleteItem(id: String) {
        viewModelScope.launch {
            repository.delete(id)
            _effects.emit(Effect.ShowSnackbar("Item deleted"))
        }
    }
}

// Collect in Composable
LaunchedEffect(Unit) {
    viewModel.effects.collect { effect ->
        when (effect) {
            is Effect.ShowSnackbar -> snackbarHostState.showSnackbar(effect.message)
            is Effect.NavigateTo -> navController.navigate(effect.route)
        }
    }
}

Dispatchers

// CPU-intensive work
withContext(Dispatchers.Default) { parseJson(largePayload) }

// IO-bound work
withContext(Dispatchers.IO) { database.query() }

// Main thread (UI) — default in viewModelScope
withContext(Dispatchers.Main) { updateUi() }

In KMP, use Dispatchers.Default and Dispatchers.Main (available on all platforms). Dispatchers.IO is JVM/Android only — use Dispatchers.Default on other platforms or provide via DI.

Cancellation

Cooperative Cancellation

Long-running loops must check for cancellation:

suspend fun processItems(items: List<Item>) = coroutineScope {
    for (item in items) {
        ensureActive()  // throws CancellationException if cancelled
        process(item)
    }
}

Cleanup with try/finally

viewModelScope.launch {
    try {
        _state.update { it.copy(isLoading = true) }
        val data = repository.fetch()
        _state.update { it.copy(data = data) }
    } finally {
        _state.update { it.copy(isLoading = false) }  // always runs, even on cancellation
    }
}

Testing

Testing StateFlow with Turbine

@Test
fun `search updates item list`() = runTest {
    val fakeRepository = FakeItemRepository().apply { emit(testItems) }
    val viewModel = ItemListViewModel(GetItemsUseCase(fakeRepository))

    viewModel.state.test {
        assertEquals(ItemListState(), awaitItem())  // initial

        viewModel.onSearch("query")
        val loading = awaitItem()
        assertTrue(loading.isLoading)

        val loaded = awaitItem()
        assertFalse(loaded.isLoading)
        assertEquals(1, loaded.items.size)
    }
}

Testing with TestDispatcher

@Test
fun `parallel load completes correctly`() = runTest {
    val viewModel = DashboardViewModel(
        itemRepo = FakeItemRepo(),
        statsRepo = FakeStatsRepo()
    )

    viewModel.load()
    advanceUntilIdle()

    val state = viewModel.state.value
    assertNotNull(state.items)
    assertNotNull(state.stats)
}

Faking Flows

class FakeItemRepository : ItemRepository {
    private val _items = MutableStateFlow<List<Item>>(emptyList())

    override fun observeItems(): Flow<List<Item>> = _items

    fun emit(items: List<Item>) { _items.value = items }

    override suspend fun getItemsByCategory(category: String): Result<List<Item>> {
        return Result.success(_items.value.filter { it.category == category })
    }
}

Anti-Patterns to Avoid

  • Using GlobalScope — leaks coroutines, no structured cancellation
  • Collecting Flows in init {} without a scope — use viewModelScope.launch
  • Using MutableStateFlow with mutable collections — always use immutable copies: _state.update { it.copy(list = it.list + newItem) }
  • Catching CancellationException — let it propagate for proper cancellation
  • Using flowOn(Dispatchers.Main) to collect — collection dispatcher is the caller's dispatcher
  • Creating Flow in @Composable without remember — recreates the flow every recomposition

References

See skill: compose-multiplatform-patterns for UI consumption of Flows. See skill: android-clean-architecture for where coroutines fit in layers.

When not to use it

  • When using GlobalScope for coroutines
  • When collecting Flows in init {} without a scope
  • When using MutableStateFlow with mutable collections

Limitations

  • CancellationException should propagate for proper cancellation
  • Collection dispatcher is the caller's dispatcher, not Dispatchers.Main
  • Flows in @Composable should use remember to avoid recreation

How it compares

This skill provides specific patterns for Kotlin Coroutines and Flows in Android and KMP, offering structured solutions for concurrency and reactive programming that differ from generic asynchronous programming.

Compared to similar skills

kotlin-coroutines-flows side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
kotlin-coroutines-flows (this skill)02moNo flagsIntermediate
android-kotlin-development2684moReviewAdvanced
kotlin-multiplatform323moReviewAdvanced
kmp-cmp-app-builder04moReviewAdvanced

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