android-coroutines▌
new-silvermoon/awesome-android-agent-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
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).
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, andcallbackFlow. - Lifecycle Integration: Managing scopes (
viewModelScope,lifecycleScope) and safe collection (repeatOnLifecycle). - Error Handling: Implementing
CoroutineExceptionHandler,SupervisorJob, and propertry-catchhierarchies. - Cancellability: Ensuring long-running operations are cooperative using
ensureActive(). - Testing: Setting up
TestDispatcherandrunTest.
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
CoroutineDispatchervia the constructor. - DEFAULT to
Dispatchers.IOin the constructor argument for convenience, but allow it to be overridden.
// 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
suspendfunctions. - Data changes should be exposed as
Flow. - The caller (ViewModel) should be able to call them from
Dispatchers.Mainwithout 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.launchorlaunchWhenStarted(deprecated/unsafe). - ALWAYS use
repeatOnLifecycle(Lifecycle.State.STARTED)for collecting flows in Activities or Fragments.
// CORRECT
viewLifecycleOwner.lifecycleScope.launch {
viewLifecycleOwner.repeatOnLifecycle(Lifecycle.State.STARTED) {
viewModel.uiState.collect { ... }
}
}
4. ViewModel Scope Usage
- Use
viewModelScopefor initiating coroutines in ViewModels. - Do not expose suspend functions from the ViewModel to the View. The ViewModel should expose
StateFloworSharedFlowthat the View observes.
5. Mutable State Encapsulation
- NEVER expose
MutableStateFloworMutableSharedFlowpublicly. - Expose them as read-only
StateFloworFlowusing.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
CancellationExceptionin a genericcatch (e: Exception)block without rethrowing it. - Use
runCatchingonly if you explicitly rethrowCancellationException. - Use
CoroutineExceptionHandleronly for top-level coroutines (insidelaunch). It has no effect insideasyncor child coroutines.
8. Cancellability
- Coroutines feature cooperative cancellation. They don't stop immediately unless they check for cancellation.
- ALWAYS call
ensureActive()oryield()in tight loops (e.g., processing a large list, reading files) to check for cancellation. - Standard functions like
delay()andwithContext()are already cancellable.
9. Callback Conversion
- Use
callbackFlowto convert callback-based APIs to Flow. - ALWAYS use
awaitCloseat the end of thecallbackFlowblock to unregister listeners.
Code Patterns
Repository Pattern with Flow
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
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
@Test
fun testViewModel() = runTest {
val testDispatcher = StandardTestDispatcher(testScheduler)
val viewModel = MyViewModel(testDispatcher)
viewModel.loadData()
advanceUntilIdle() // Process coroutines
assertEquals(expectedState, viewModel.uiState.value)
}
How to use android-coroutines on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add android-coroutines
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches android-coroutines from GitHub repository new-silvermoon/awesome-android-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate android-coroutines. Access the skill through slash commands (e.g., /android-coroutines) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★59 reviews- ★★★★★Amelia Sharma· Dec 16, 2024
android-coroutines fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Meera Chen· Dec 12, 2024
Registry listing for android-coroutines matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Jin Torres· Dec 8, 2024
I recommend android-coroutines for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Zara Huang· Dec 8, 2024
android-coroutines fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Daniel Menon· Nov 27, 2024
Useful defaults in android-coroutines — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zara Gonzalez· Nov 27, 2024
We added android-coroutines from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Min Wang· Nov 7, 2024
We added android-coroutines from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Ndlovu· Nov 3, 2024
Solid pick for teams standardizing on skills: android-coroutines is focused, and the summary matches what you get after install.
- ★★★★★Olivia Abbas· Oct 26, 2024
Solid pick for teams standardizing on skills: android-coroutines is focused, and the summary matches what you get after install.
- ★★★★★Zara Nasser· Oct 22, 2024
We added android-coroutines from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 59