Skills

Compose Performance Audit

Audit and improve Jetpack Compose runtime performance from code review and architecture.

Install

npx skills add new-silvermoon/awesome-android-agent-skills --skill compose-performance-audit -g -a claude-code -y
Category
Design
Updated
3mo ago
License
Apache-2.0
Context cost
Mediumabout 1,630 tokens
Runs scripts
No, instructions only

What it does

Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI.

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 (key churn, 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, SubcomposeLayout misuse).

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

Read the whole SKILL.md on GitHub

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