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React native performance

Skill maikotrindade/awesome-react-native-skills/skills/react-native-performance

Deep React Native performance — FPS profiling, bundle size, TTI measurement, native threading, memory leaks, and profiling tools.From its SKILL.md

Install
npx -y skills add maikotrindade/awesome-react-native-skills --skill react-native-performance

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.8 KB, as published. Nobody here has run it

React Native Performance

Deep performance reference. Canonical home for React Native performance — covers FlatList tuning, memoization, Hermes, expo-image, FPS measurement, bundle treemap analysis, Hermes mmap, R8 Android, 16 KB page-size alignment, view flattening, native threading, JNI memory patterns, and the profiling toolchain.

For Fabric/JSI/TurboModules architectural overview, see react-native-core/features-new-architecture.md.

Core References

TopicDescriptionReference
FPS & re-rendersFPS measurement, profile-react, React Compiler (Expo SDK 54+), atomic state, Concurrent React, Reanimated worklets (v3/v4)core-fps-rerenders
Bundle sizeApp size and JS bundle reduction — Ruler, Emerge, source-map-explorer, Expo Atlas, tree shaking, barrel exports, R8, asset catalog, Hermes mmap, code splittingcore-bundle-size

Features

TopicDescriptionReference
Time to InteractiveTTI measurement methodology, cold-start pipeline markers, react-native-performancefeatures-tti
Native performanceTurboModule threading, sync vs async, view flattening, native SDKs over JS polyfills, 16 KB alignment, platform setupfeatures-native-performance
MemoryJS leak detection, native reference cycles, JNI refs, smart pointers, common leak patternsfeatures-memory

Best Practices

TopicDescriptionReference
Profiling toolsDevTools flamegraph, Flashlight, Xcode Instruments, Android Studio Profiler, Perfetto, bundle analyzersbest-practices-profiling

Key Recommendations

  • Always measure first — never optimize without a baseline (Flashlight for FPS/TTI, source-map-explorer for bundle)
  • Hermes mmap removed in RN 0.79+ — JS bundle is now resident memory; bundle size affects startup memory directly
  • TurboModules — prefer sync methods for fast operations; async only when work crosses threads
  • React Compiler is opt-in via Expo SDK 54+ (experiments.reactCompiler: true) — replaces most useMemo/useCallback
  • Profile before refactoring — 80% of perf wins come from removing waterfalls, expensive renders, and bundle bloat, not micro-optimizations
  • Reanimated v3 stable; v4 opt-in/beta — pick one per project, don't mix

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.