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Coroutines

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hanamizuki
coroutines

Authoritative rules and patterns for production-quality Kotlin Coroutines onto Android. Covers structured concurrency, lifecycle integration, and reactive streams.

Overview

Publisherhanamizuki
Repositorysolopreneur
Skill namecoroutines
Stars
150
Forks
9
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hanamizuki on GitHub. Read the source before you install it.

Installation

Install the Coroutines AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hanamizuki/solopreneur.git /tmp/solopreneur
mkdir -p .claude/skills
cp -r /tmp/solopreneur/plugins/claude/android-dev/skills/coroutines .claude/skills/coroutines
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coroutines in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Coroutines on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Coroutines is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Android Coroutines Expert Skill

This skill provides authoritative rules and patterns for writing production-quality Kotlin Coroutines code on Android. It enforces structured concurrency, lifecycle safety, and modern best practices (2025 standards).

Responsibilities

  • Asynchronous Logic: Implementing suspend functions, Dispatcher management, and parallel execution.
  • Reactive Streams: Implementing Flow, StateFlow, SharedFlow, and callbackFlow.
  • Lifecycle Integration: Managing scopes (viewModelScope, lifecycleScope) and safe collection (repeatOnLifecycle).
  • Error Handling: Implementing CoroutineExceptionHandler, SupervisorJob, and proper try-catch hierarchies.
  • Cancellability: Ensuring long-running operations are cooperative using ensureActive().
  • Testing: Setting up TestDispatcher and runTest.

Applicability

Activate this skill when the user asks to:

  • "Fetch data from an API/Database."
  • "Perform background processing."
  • "Fix a memory leak" related to threads/tasks.
  • "Convert a listener/callback to Coroutines."
  • "Implement a ViewModel."
  • "Handle UI state updates."

Critical Rules & Constraints

1. Dispatcher Injection (Testability)

  • NEVER hardcode Dispatchers (e.g., Dispatchers.IO, Dispatchers.Default) inside classes.
  • ALWAYS inject a CoroutineDispatcher via the constructor.
  • DEFAULT to Dispatchers.IO in the constructor argument for convenience, but allow it to be overridden.
kotlin
// CORRECT
class UserRepository(
    private val ioDispatcher: CoroutineDispatcher = Dispatchers.IO
) { ... }

// INCORRECT
class UserRepository {
    fun getData() = withContext(Dispatchers.IO) { ... }
}

2. Main-Safety

  • All suspend functions defined in the Data or Domain layer must be main-safe.
  • One-shot calls should be exposed as suspend functions.
  • Data changes should be exposed as Flow.
  • The caller (ViewModel) should be able to call them from Dispatchers.Main without blocking the UI.
  • Use withContext(dispatcher) inside the repository implementation to move execution to the background.

3. Lifecycle-Aware Collection

  • NEVER collect a flow directly in lifecycleScope.launch or launchWhenStarted (deprecated/unsafe).
  • ALWAYS use repeatOnLifecycle(Lifecycle.State.STARTED) for collecting flows in Activities or Fragments.
kotlin
// CORRECT
viewLifecycleOwner.lifecycleScope.launch {
    viewLifecycleOwner.repeatOnLifecycle(Lifecycle.State.STARTED) {
        viewModel.uiState.collect { ... }
    }
}

4. ViewModel Scope Usage

  • Use viewModelScope for initiating coroutines in ViewModels.
  • Do not expose suspend functions from the ViewModel to the View. The ViewModel should expose StateFlow or SharedFlow that the View observes.

5. Mutable State Encapsulation

  • NEVER expose MutableStateFlow or MutableSharedFlow publicly.
  • Expose them as read-only StateFlow or Flow using .asStateFlow() or upcasting.

6. GlobalScope Prohibition

  • NEVER use GlobalScope. It breaks structured concurrency and leads to leaks.
  • If a task must survive the current scope, use an injected applicationScope (a custom scope tied to the Application lifecycle).

7. Exception Handling

  • NEVER catch CancellationException in a generic catch (e: Exception) block without rethrowing it.
  • Use runCatching only if you explicitly rethrow CancellationException.
  • Use CoroutineExceptionHandler only for top-level coroutines (inside launch). It has no effect inside async or child coroutines.

8. Cancellability

  • Coroutines feature cooperative cancellation. They don't stop immediately unless they check for cancellation.
  • ALWAYS call ensureActive() or yield() in tight loops (e.g., processing a large list, reading files) to check for cancellation.
  • Standard functions like delay() and withContext() are already cancellable.

9. Callback Conversion

  • Use callbackFlow to convert callback-based APIs to Flow.
  • ALWAYS use awaitClose at the end of the callbackFlow block to unregister listeners.

Code Patterns

Repository Pattern with Flow

kotlin
class NewsRepository(
    private val remoteDataSource: NewsRemoteDataSource,
    private val externalScope: CoroutineScope, // For app-wide events
    private val ioDispatcher: CoroutineDispatcher = Dispatchers.IO
) {
    val newsUpdates: Flow<List<News>> = flow {
        val news = remoteDataSource.fetchLatestNews()
        emit(news)
    }.flowOn(ioDispatcher) // Upstream executes on IO
}

Parallel Execution

kotlin
suspend fun loadDashboardData() = coroutineScope {
    val userDeferred = async { userRepo.getUser() }
    val feedDeferred = async { feedRepo.getFeed() }
    
    // Wait for both
    DashboardData(
        user = userDeferred.await(),
        feed = feedDeferred.await()
    )
}

Testing with runTest

kotlin
@Test
fun testViewModel() = runTest {
    val testDispatcher = StandardTestDispatcher(testScheduler)
    val viewModel = MyViewModel(testDispatcher)
    
    viewModel.loadData()
    advanceUntilIdle() // Process coroutines
    
    assertEquals(expectedState, viewModel.uiState.value)
}

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Coroutines AI skill do?

Authoritative rules and patterns for production-quality Kotlin Coroutines onto Android. Covers structured concurrency, lifecycle integration, and reactive streams.

Why use Coroutines on TypingMind?

Because you install it once and use it with any model. Coroutines is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Coroutines in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hanamizuki/solopreneur/tree/main/plugins/claude/android-dev/skills/coroutines. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Coroutines?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Coroutines?

As many as you like. As long as a model supports skills, you can use Coroutines with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Coroutines AI skill free?

Yes. It is published on GitHub by hanamizuki under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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