compose-performance-audit▌
new-silvermoon/awesome-android-agent-skills · updated Apr 8, 2026
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Audit Jetpack Compose view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.
Compose Performance Audit
Overview
Audit Jetpack Compose view performance end-to-end, from instrumentation and baselining to root-cause analysis and concrete remediation steps.
Workflow Decision Tree
- If the user provides code, start with "Code-First Review."
- If the user only describes symptoms, ask for minimal code/context, then do "Code-First Review."
- If code review is inconclusive, go to "Guide the User to Profile" and ask for Layout Inspector output or Perfetto traces.
1. Code-First Review
Collect:
- Target Composable code.
- Data flow: state, remember, derived state, ViewModel connections.
- Symptoms and reproduction steps.
Focus on:
- Recomposition storms from unstable parameters or broad state changes.
- Unstable keys in
LazyColumn/LazyRow(keychurn, missing keys). - Heavy work in composition (formatting, sorting, filtering, object allocation).
- Unnecessary recompositions (missing
remember, unstable classes, lambdas). - Large images without proper sizing or async loading.
- Layout thrash (deep nesting, intrinsic measurements,
SubcomposeLayoutmisuse).
Provide:
- Likely root causes with code references.
- Suggested fixes and refactors.
- If needed, a minimal repro or instrumentation suggestion.
2. Guide the User to Profile
Explain how to collect data:
- Use Layout Inspector in Android Studio to see recomposition counts.
- Enable Recomposition Highlights in Compose tooling.
- Use Perfetto or System Trace for frame timing analysis.
- Check Macrobenchmark results for startup/scroll metrics.
Ask for:
- Layout Inspector screenshot showing recomposition counts.
- Perfetto trace or System Trace export.
- Device/OS/build configuration (debug vs release).
Important: Ensure profiling is done on a release build with R8 enabled. Debug builds have significant overhead.
3. Analyze and Diagnose
Prioritize likely Compose culprits:
- Recomposition storms from unstable parameters or broad state changes.
- Unstable keys in lazy lists (
keychurn, index-based keys). - Heavy work in composition (formatting, sorting, object allocation).
- Missing
remembercausing recreations on every recomposition. - Large images without
Modifier.size()constraints. - Unnecessary state reads in wrong composition phases.
Summarize findings with evidence from traces/Layout Inspector.
4. Remediate
Apply targeted fixes:
- Stabilize parameters: Use
@Stableor@Immutableannotations on data classes. - Stabilize keys: Use stable, unique IDs for
LazyColumn/LazyRowitems. - Defer state reads: Use
derivedStateOf, lambda-based modifiers, orModifier.drawBehind. - Remember expensive computations: Wrap in
remember { }orremember(key) { }. - Skip recomposition: Extract stable composables, use
key()to control identity. - Async image loading: Use Coil/Glide with proper sizing constraints.
- Reduce layout complexity: Flatten hierarchies, avoid deep nesting.
Common Code Smells (and Fixes)
Unstable lambda captures
// BAD: New lambda instance every recomposition
Button(onClick = { viewModel.doSomething(item) }) { ... }
// GOOD: Use remember or method reference
val onClick = remember(item) { { viewModel.doSomething(item) } }
Button(onClick = onClick) { ... }
Expensive work in composition
// BAD: Sorting on every recomposition
@Composable
fun ItemList(items: List<Item>) {
val sorted = items.sortedBy { it.name } // Runs every recomposition
LazyColumn { items(sorted) { ... } }
}
// GOOD: Use remember with key
@Composable
fun ItemList(items: List<Item>) {
val sorted = remember(items) { items.sortedBy { it.name } }
LazyColumn { items(sorted) { ... } }
}
Missing keys in LazyColumn
// BAD: Index-based identity (causes recomposition on list changes)
LazyColumn {
items(items) { item -> ItemRow(item) }
}
// GOOD: Stable key-based identity
LazyColumn {
items(items, key = { it.id }) { item -> ItemRow(item) }
}
Unstable data classes
// BAD: Unstable (contains List, which is not stable)
data class UiState(
val items: List<Item>,
val isLoading: Boolean
)
// GOOD: Mark as Immutable if truly immutable
@Immutable
data class UiState(
val items: ImmutableList<Item>, // kotlinx.collections.immutable
val isLoading: Boolean
)
Reading state too early
// BAD: State read during composition (recomposes whole tree)
@Composable
fun AnimatedBox(scrollState: ScrollState) {
val offset = scrollState.value // Recomposes on every scroll
Box(modifier = Modifier.offset(y = offset.dp)) { ... }
}
// GOOD: Defer state read to layout/draw phase
@Composable
fun AnimatedBox(scrollState: ScrollState) {
Box(modifier = Modifier.offset {
IntOffset(0, scrollState.value) // Read in layout phase
}) { ... }
}
Object allocation in composition
// BAD: Creates new Modifier chain every recomposition
Box(modifier = Modifier.padding(16.dp).background(Color.Red))
// GOOD for dynamic modifiers: Remember the modifier
val modifier = remember { Modifier.padding(16.dp).background(Color.Red) }
Box(modifier = modifier)
Stability Checklist
| Type | Stable by Default? | Fix |
|---|---|---|
Primitives (Int, String, Boolean) |
Yes | N/A |
data class with stable fields |
Yes* | Ensure all fields are stable |
List, Map, Set |
No | Use ImmutableList from kotlinx |
Classes with var properties |
No | Use @Stable if externally stable |
| Lambdas | No | Use remember { } |
5. Verify
Ask the user to:
- Re-run Layout Inspector and compare recomposition counts.
- Run Macrobenchmark and compare frame timing.
- Test on a real device with release build.
Summarize the delta (recomposition count, frame drops, jank) if provided.
Outputs
Provide:
- A short metrics table (before/after if available).
- Top issues (ordered by impact).
- Proposed fixes with estimated effort.
References
How to use compose-performance-audit 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 compose-performance-audit
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches compose-performance-audit 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 compose-performance-audit. Access the skill through slash commands (e.g., /compose-performance-audit) 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
4.8★★★★★47 reviews- ★★★★★Chinedu Liu· Dec 24, 2024
Solid pick for teams standardizing on skills: compose-performance-audit is focused, and the summary matches what you get after install.
- ★★★★★Isabella Park· Dec 20, 2024
Keeps context tight: compose-performance-audit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Henry Sethi· Dec 20, 2024
compose-performance-audit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Dec 12, 2024
We added compose-performance-audit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chinedu Khanna· Dec 4, 2024
I recommend compose-performance-audit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Omar Shah· Nov 23, 2024
compose-performance-audit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★James Park· Nov 11, 2024
compose-performance-audit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Henry Dixit· Nov 11, 2024
Keeps context tight: compose-performance-audit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar Ndlovu· Nov 3, 2024
We added compose-performance-audit from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Omar Park· Oct 22, 2024
Solid pick for teams standardizing on skills: compose-performance-audit is focused, and the summary matches what you get after install.
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