kotlin-coroutines-flows
Enables your agent to use Kotlin Coroutines and Flow for Android and KMP. Helps manage asynchronous tasks structurally and handle errors.
What it does
Helps write and debug code that runs in the background (asynchronously) in Android and cross-platform apps. It simplifies managing tasks that need to happen concurrently or in response to events.
When to use it
- ✓When you need your app to do multiple things at the same time.
- ✓When displaying data that changes over time on the screen.
- ✓To handle errors in background operations.
Example of what to ask your AI
“How can I make my app download an image while the user navigates to another screen without freezing?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It uses 'coroutines' to run background tasks in an organized way and 'Flows' to handle streams of changing data. This makes the code cleaner and easier to understand.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add affaan-m/ECC --skill kotlin-coroutines-flowsOr download just the file:
curl -L https://raw.githubusercontent.com/affaan-m/ECC/main/pi/core/skills/kotlin-coroutines-flows/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
…
FAQ
What are coroutines?
They are like small tasks that can run in the background without interrupting the app's main operation.
What is a Flow?
It's a way to handle data that arrives sequentially, like updates to a list or user events.
Why not use `GlobalScope`?
`GlobalScope` creates tasks that live forever, which can cause memory leaks. Using defined scopes (like `viewModelScope`) ensures tasks are cancelled when no longer needed.
Details
Original description by the author
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency.
repo: affaan-m/ECC
Popularity
- GitHub stars
- 280k
- Ranking position
- #68
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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