Claude Agent Skill · by Affaan M

Kotlin Coroutines Flows

Install Kotlin Coroutines Flows skill for Claude Code from affaan-m/everything-claude-code.

Install
Terminal · npx
$npx skills add https://github.com/vercel-labs/agent-skills --skill vercel-react-native-skills
Works with Paperclip

How Kotlin Coroutines Flows fits into a Paperclip company.

Kotlin Coroutines Flows drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

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Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

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SKILL.md284 lines
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---name: kotlin-coroutines-flowsdescription: Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing.origin: ECC--- # 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`: ```kotlin// BADGlobalScope.launch { fetchData() } // GOOD — scoped to ViewModel lifecycleviewModelScope.launch { fetchData() } // GOOD — scoped to composable lifecycleLaunchedEffect(key) { fetchData() }``` ### Parallel Decomposition Use `coroutineScope` + `async` for parallel work: ```kotlinsuspend 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: ```kotlinsuspend fun syncAll() = supervisorScope {    launch { syncItems() }       // failure here won't cancel syncStats    launch { syncStats() }    launch { syncSettings() }}``` ## Flow Patterns ### Cold Flow — One-Shot to Stream Conversion ```kotlinfun 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 ```kotlinclass 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 ```kotlinval 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 ```kotlin// Debounce search inputsearchQuery    .debounce(300)    .distinctUntilChanged()    .flatMapLatest { query -> repository.search(query) }    .catch { emit(emptyList()) }    .collect { results -> _state.update { it.copy(results = results) } } // Retry with exponential backofffun 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 ```kotlinclass 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 ComposableLaunchedEffect(Unit) {    viewModel.effects.collect { effect ->        when (effect) {            is Effect.ShowSnackbar -> snackbarHostState.showSnackbar(effect.message)            is Effect.NavigateTo -> navController.navigate(effect.route)        }    }}``` ## Dispatchers ```kotlin// CPU-intensive workwithContext(Dispatchers.Default) { parseJson(largePayload) } // IO-bound workwithContext(Dispatchers.IO) { database.query() } // Main thread (UI) — default in viewModelScopewithContext(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: ```kotlinsuspend fun processItems(items: List<Item>) = coroutineScope {    for (item in items) {        ensureActive()  // throws CancellationException if cancelled        process(item)    }}``` ### Cleanup with try/finally ```kotlinviewModelScope.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 ```kotlin@Testfun `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 ```kotlin@Testfun `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 ```kotlinclass 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.