スキル一覧に戻る
benaor

react-performance

by benaor

my Claude configuration files

3🍴 0📅 2026年1月13日
GitHubで見るManusで実行

SKILL.md


name: react-performance description: React Native performance optimization guide. Use when working on performance issues, optimizing renders, improving startup time, debugging memory leaks, optimizing lists/animations, or analyzing bundle size. Covers profiling, memoization, React Compiler, Concurrent React, state patterns, FlatList optimization, Reanimated, native threading, and bundle optimization.

React Native Performance

How to Use This Skill

  1. Read ONLY this file first - Don't load references yet
  2. Use Quick Diagnosis table to identify the ONE relevant reference
  3. Load ONLY that reference - Never load multiple references at once
  4. If user's problem is unclear - Ask clarifying questions before loading any reference

⚠️ Each reference file is 5-10KB. Loading multiple files wastes context. Be surgical.

Comprehensive guide for optimizing React Native applications. Always measure before optimizing - use profiling tools to identify actual bottlenecks.

Quick Diagnosis

SymptomStart With
Too many re-rendersrerender-optimization.md
Slow lists/scrollinglist-optimization.md
App takes long to startstartup-optimization.md
Memory keeps growingmemory-management.md
Animations dropping framesanimation-performance.md
Bundle too largebundle-optimization.md

Don't know where the problem comes from?

Ask the user first:

  • What feels slow? (startup, scroll, animation, interaction)
  • When does it happen?
  • Which screen/component?

Then load profiling.md ONLY if you need help guiding them through profiling.

Reference Files

Loading strategy: Pick ONE file based on the diagnosed symptom. Never preload "just in case".

🔬 Investigation

  • profiling.md - React DevTools, JS Profiler, Flashlight, Perf Monitor. Use to identify unknown bottlenecks.

🧠 Memory

⚛️ React Optimization

📱 Runtime Performance

🚀 Startup & Bundle

🔧 Native Layer

Performance Targets

MetricTargetTool
FPS60 (ideally 120 on capable devices)Perf Monitor, Flashlight
TTI< 2s cold startNative profilers
JS Frame< 16ms (8ms for 120fps)JS Profiler
MemoryStable over time (no growth)Heap snapshots

Optimization Workflow

  1. Measure - Profile the app, identify the actual bottleneck
  2. Isolate - Reproduce the issue in a minimal scenario
  3. Fix - Apply targeted optimization from relevant reference
  4. Verify - Re-measure to confirm improvement
  5. Monitor - Set up continuous performance tracking

Key Principles

  • Measure first: Never optimize based on assumptions
  • 80/20 rule: 80% of issues come from 20% of code
  • JS thread < 16ms: Keep frame budget for 60 FPS
  • Minimize bridge crossing: Batch operations, use native drivers
  • Virtualize large lists: Never render off-screen content
  • Defer non-critical work: Use startTransition and lazy loading

スコア

総合スコア

35/100

リポジトリの品質指標に基づく評価

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

0/5
タグ

1つ以上のタグが設定されている

0/5

レビュー

💬

レビュー機能は近日公開予定です