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React Native Best Practices

OrganizationPopular
callstackincubator
react-native-best-practices

Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.

Overview

Publishercallstackincubator
Repositoryagent-skills
Skill namereact-native-best-practices
Stars
1.6K
Forks
116
Bundled files
43
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 43 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by callstackincubator on GitHub. Read the source before you install it.

Installation

Install the React Native Best Practices AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/callstackincubator/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/react-native-best-practices .claude/skills/react-native-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Native Best Practices in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads React Native Best Practices on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so React Native Best Practices is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

React Native Best Practices

Overview

Performance optimization guide for React Native applications, covering JavaScript/React, Native (iOS/Android), and bundling optimizations. Based on Callstack's "Ultimate Guide to React Native Optimization".

When to Apply

Reference these guidelines when:

  • Debugging slow/janky UI or animations
  • Investigating memory leaks (JS or native)
  • Optimizing app startup time (TTI)
  • Reducing bundle or app size
  • Writing native modules (Turbo Modules)
  • Profiling React Native performance
  • Reviewing React Native code for performance

Security Notes

  • Treat shell commands in these references as local developer operations. Review them before running, prefer version-pinned tooling, and avoid piping remote scripts directly to a shell.
  • Treat third-party libraries and plugins as dependencies that still require normal supply-chain controls: pin versions, verify provenance, and update through your standard review process.
  • Treat remote chunk loading as first-party artifact delivery only. Prefer app-bundled chunks or signed CI release manifests; hosted chunks must come from trusted HTTPS origins you control and be pinned to the current app release.

Priority-Ordered Guidelines

PriorityCategoryImpactPrefix
1FPS & Re-rendersCRITICALjs-*
2Bundle SizeCRITICALbundle-*
3TTI OptimizationHIGHnative-*, bundle-*
4Native PerformanceHIGHnative-*
5Memory ManagementMEDIUM-HIGHjs-*, native-*
6AnimationsMEDIUMjs-*

Impact labels are triage hints: CRITICAL first, HIGH next, MEDIUM when evidence points there.

Quick Reference

Optimization Workflow

Follow this cycle for any performance issue: Measure → Optimize → Re-measure → Validate

  1. Measure: Capture baseline metrics before changes. For runtime issues, prefer commit timeline, re-render counts, slow components, heaviest-commit breakdown, and startup/TTI when available. Component tree depth or count are optional context, not substitutes. Do not recommend memoization, atomic state, or compiler changes without a measured render or FPS problem.
  2. Optimize: Apply the targeted fix from the relevant reference
  3. Re-measure: Run the same measurement to get updated metrics
  4. Validate: Confirm improvement (e.g., FPS 45→60, TTI 3.2s→1.8s, bundle 2.1MB→1.6MB)

If metrics did not improve, revert and try the next suggested fix.

Review Guardrails

  • Check library versions before suggesting API-specific fixes. Example: FlashList v2 deprecates estimatedItemSize, so do not flag it as missing there.
  • Do not suggest useMemo or useCallback dependency changes unless behavior is demonstrably incorrect or profiling shows wasted work tied to that value.
  • Do not report stale closures speculatively. Show the stale read path, a repro, or profiler evidence before calling it out.
  • When profiling a flow, measure the target interaction itself. Do not treat component tree depth or component count as the main performance evidence.

Critical: FPS & Re-renders

Profile first:

bash
agent-device react-devtools status
agent-device react-devtools wait --connected
agent-device react-devtools profile start
agent-device react-devtools profile stop
agent-device react-devtools profile slow --limit 5
agent-device react-devtools profile rerenders --limit 5
agent-device react-devtools profile timeline --limit 20

Drive the target interaction with normal agent-device commands between profile start and profile stop.

Manual fallback when agent-device is unavailable: open React Native DevTools from Metro (j) or the Dev Menu, use the Profiler tab, and record the same interaction.

For release-build React component profiling, connect @callstack/inspector first so React DevTools can attach to the release app, then run the agent-device react-devtools flow above.

Common fixes:

  • Replace ScrollView with FlatList/FlashList/Legend List for long lists
  • After profiling shows cascading re-renders, use React Compiler for automatic memoization
  • After profiling shows broad store/context updates, use atomic state (Jotai/Zustand) to reduce re-renders
  • Use useDeferredValue for expensive computations

Critical: Bundle Size

Analyze bundle:

bash
npx react-native bundle \
  --entry-file index.js \
  --bundle-output output.js \
  --platform ios \
  --sourcemap-output output.js.map \
  --dev false --minify true

npx source-map-explorer output.js --no-border-checks

Verify improvement after optimization:

bash
# Record baseline size before changes
ls -lh output.js  # e.g., Before: 2.1 MB

# After applying fixes, re-bundle and compare
npx react-native bundle --entry-file index.js --bundle-output output.js \
  --platform ios --dev false --minify true
ls -lh output.js  # e.g., After: 1.6 MB  (24% reduction)

Common fixes:

  • Avoid barrel imports (import directly from source)
  • Remove unnecessary Intl polyfills only after checking Hermes API and method coverage
  • Evaluate tree shaking (Expo SDK 52+ experimental unused import/export removal, or Re.Pack only if already configured)
  • Enable R8 for Android native code shrinking

High: TTI Optimization

Measure TTI:

  • Use react-native-performance for markers
  • Only measure cold starts (exclude warm/hot/prewarm)

Common fixes:

  • For React Native 0.78 and earlier, disable Android JS bundle compression to enable Hermes mmap
  • Use native navigation (react-native-screens)
  • Preload commonly-used expensive screens before navigating to them

High: Native Performance

Profile native:

  • iOS: Xcode Instruments → Time Profiler
  • Android: Android Studio → CPU Profiler

Common fixes:

  • Use background threads for heavy native work
  • Prefer async over sync Turbo Module methods
  • Use C++ for cross-platform performance-critical code

References

Full documentation with code examples in references/:

JavaScript/React (js-*)

FileImpactDescription
js-lists-flatlist-flashlist.mdCRITICALReplace ScrollView with virtualized lists
js-profile-react.mdMEDIUMagent-device react-devtools profiling
js-measure-fps.mdHIGHFPS monitoring and measurement
js-memory-leaks.mdMEDIUMJS memory leak hunting
js-atomic-state.mdHIGHJotai/Zustand patterns
js-concurrent-react.mdHIGHuseDeferredValue, useTransition
js-react-compiler.mdHIGHAutomatic memoization
js-animations-reanimated.mdMEDIUMReanimated worklets
js-bottomsheet.mdHIGHBottom sheet optimization
js-uncontrolled-components.mdHIGHTextInput optimization

Native (native-*)

FileImpactDescription
native-turbo-modules.mdHIGHBuilding fast native modules
native-sdks-over-polyfills.mdHIGHNative vs JS libraries
native-measure-tti.mdHIGHTTI measurement setup
native-threading-model.mdHIGHTurbo Module threads
native-profiling.mdMEDIUMXcode/Android Studio profiling
native-platform-setup.mdMEDIUMiOS/Android tooling guide
native-view-flattening.mdMEDIUMView hierarchy debugging
native-memory-patterns.mdMEDIUMC++/Swift/Kotlin memory
native-memory-leaks.mdMEDIUMNative memory leak hunting
native-android-16kb-alignment.mdCRITICALThird-party library alignment for Google Play

Bundling (bundle-*)

FileImpactDescription
bundle-barrel-exports.mdCRITICALAvoid barrel imports
bundle-analyze-js.mdCRITICALJS bundle visualization
bundle-tree-shaking.mdHIGHDead code elimination
bundle-analyze-app.mdHIGHApp size analysis
bundle-r8-android.mdHIGHAndroid code shrinking
bundle-hermes-mmap.mdHIGHDisable bundle compression
bundle-native-assets.mdHIGHAsset catalog setup
bundle-library-size.mdMEDIUMEvaluate dependencies
bundle-code-splitting.mdMEDIUMRemote chunk loading safeguards

Problem → Skill Mapping

Attribution

Based on "The Ultimate Guide to React Native Optimization" by Callstack.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the React Native Best Practices AI skill do?

Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.

Why use React Native Best Practices on TypingMind?

Because you install it once and use it with any model. React Native Best Practices is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install React Native Best Practices in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/callstackincubator/agent-skills/tree/main/skills/react-native-best-practices. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use React Native Best Practices?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with React Native Best Practices?

As many as you like. As long as a model supports skills, you can use React Native Best Practices with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the React Native Best Practices AI skill free?

Yes. It is published on GitHub by callstackincubator under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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