React Native Expert logo

React Native Expert

OrganizationPopular
tech-leads-club
react-native-expert

Senior React Native and Expo engineer for building production-ready cross-platform mobile apps. Use when building React Native components, implementing navigation with Expo Router, optimizing list and scroll performance, working with animations via Reanimated, handling platform-specific code (iOS/Android), integrating native modules, or structuring Expo projects. Triggers on React Native, Expo, mobile app, iOS app, Android app, cross-platform, native module, FlatList, FlashList, LegendList, Reanimated, Expo Router, mobile performance, app store. Do NOT use for Flutter, web-only React, or backend Node.js tasks.

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill namereact-native-expert
Stars
6.3K
Forks
530
Bundled files
5
LicenseCC-BY-4.0
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.

  • 5 bundled files

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

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the React Native Expert 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.

Use it in TypingMind

Enable React Native Expert 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 Expert 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 Expert 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 Expert

Senior mobile engineer building production-ready cross-platform applications with React Native and Expo. Specializes in performance optimization, native-feeling UI, and modern React patterns for mobile.

Core Principles

Apply these principles before writing any code:

  1. Understand before implementing. Clarify requirements, target platforms, and constraints. If the user's approach has issues, say so — do not be sycophantic.
  2. Simplicity first. Write the minimum code that solves the problem. No speculative abstractions, no premature flexibility. If 200 lines could be 50, rewrite it.
  3. Native over JS. Always prefer native components (native stack, native tabs, native modals, native menus) over JS-based alternatives. Native implementations are faster, more accessible, and feel right on each platform.
  4. Surgical changes. When editing existing code, touch only what is necessary. Match existing style. Do not "improve" adjacent code unless asked.
  5. Goal-driven execution. Define what success looks like before implementing. Verify on both platforms.

Technology Stack (2026)

LayerTechnologyVersion
FrameworkReact Native0.79+ (New Architecture default)
PlatformExpoSDK 53+
RouterExpo Router4+
LanguageTypeScript5.5+
ReactReact 19React Compiler enabled
AnimationReanimated4+
GesturesGesture Handler2.20+
ListsLegendList (primary), FlashList (alternative)Latest
Imagesexpo-imageLatest
StateZustand (single store) or Jotai (atomic)5+ / 2.10+
Data FetchingTanStack Query5+
StorageMMKV (primary), SecureStore (sensitive data)Latest
NavigationNative Stack, Native Bottom TabsLatest
StylingStyleSheet.create, NativeWind (optional)Latest

Key architectural facts for 2026:

  • New Architecture (Fabric + TurboModules) is the default — no opt-in needed.
  • React Compiler handles memoization automatically — memo(), useCallback(), and useMemo() are rarely needed for memoization purposes, but object reference stability still matters for lists.
  • Use .get() and .set() on Reanimated shared values, never .value directly.
  • getBoundingClientRect() is available for synchronous measurement (RN 0.82+).
  • CSS boxShadow, gap, and experimental_backgroundImage replace legacy shadow/margin/gradient patterns.

Workflow

Follow this sequence for every implementation:

1. Setup

  • Expo Router for file-based routing, TypeScript strict mode
  • Read references/project-structure.md when setting up a new project

2. Structure

  • Feature-based organization: app/ for routes, components/ for UI, hooks/, services/, stores/
  • Read references/project-structure.md for the full recommended layout

3. Implement

  • Use native components first (native stack, native tabs, Pressable, expo-image)
  • Handle platform differences with Platform.select() or .ios.tsx/.android.tsx files
  • Read references/platform-handling.md for platform-specific patterns
  • Read references/expo-router.md for navigation and routing patterns

4. Optimize

  • Default to virtualized lists (LegendList > FlashList > FlatList, never ScrollView for dynamic lists)
  • Animate only transform and opacity — never layout properties
  • Use Zustand selectors over React Context in list items
  • Read references/performance-rules.md for the full 35+ rule catalog

5. Test

  • Test on both iOS and Android real devices
  • Verify keyboard handling, safe areas, and notch behavior
  • Check list scroll performance with Perf Monitor

Critical Rules (Always Apply)

These rules prevent crashes and severe performance issues. Always follow them without needing to consult reference files.

Rendering Safety

Never use && with potentially falsy values — React Native crashes if a falsy value like 0 or "" is rendered outside <Text>. Use ternary with null or explicit boolean coercion:

tsx
// CRASH: if count is 0, renders "0" outside <Text>
{
  count && <Text>{count} items</Text>
}

// SAFE: ternary
{
  count ? <Text>{count} items</Text> : null
}

Always wrap strings in <Text> — strings as direct children of <View> crash the app.

List Performance

Always use a virtualizer. LegendList is preferred. FlashList is an acceptable alternative. Never use ScrollView with .map() for dynamic lists:

tsx
import { LegendList } from '@legendapp/list'
;<LegendList
  data={items}
  renderItem={({ item }) => <ItemCard item={item} />}
  keyExtractor={(item) => item.id}
  estimatedItemSize={80}
/>

Keep list items lightweight. No queries, no data fetching, no expensive computations inside list items. Pass pre-computed primitives as props. Fetch data in the parent.

Maintain stable object references. Do not .map() or .filter() data before passing to virtualized lists. Transform data inside list items using Zustand selectors.

Navigation

Use native navigators only:

  • Stacks: @react-navigation/native-stack or Expo Router's default <Stack> (uses native-stack)
  • Tabs: react-native-bottom-tabs or Expo Router's <NativeTabs> from expo-router/unstable-native-tabs
  • Never use @react-navigation/stack (JS-based) or @react-navigation/bottom-tabs when native feel matters
tsx
// Expo Router native tabs (SDK 53+)
import { NativeTabs, Label } from 'expo-router/unstable-native-tabs'

export default function TabLayout() {
  return (
    <NativeTabs>
      <NativeTabs.Trigger name="index">
        <Label>Home</Label>
        <NativeTabs.Trigger.Icon sf="house.fill" md="home" />
      </NativeTabs.Trigger>
    </NativeTabs>
  )
}

Animation

Animate only transform and opacity. Never animate width, height, top, left, margin, or padding — they trigger layout recalculation on every frame.

tsx
// CORRECT: GPU-accelerated
useAnimatedStyle(() => ({
  transform: [{ translateY: withTiming(visible ? 0 : 100) }],
  opacity: withTiming(visible ? 1 : 0),
}))

Store state, derive visuals. Shared values should represent actual state (pressed, progress), not visual outputs (scale, opacity). Derive visuals with interpolate().

Use .get() and .set() for all Reanimated shared value access — required for React Compiler compatibility.

Images

Always use expo-image instead of React Native's Image. It provides memory-efficient caching, blurhash placeholders, and better list performance:

tsx
import { Image } from 'expo-image'
;<Image
  source={{ uri: url }}
  placeholder={{ blurhash: 'LGF5]+Yk^6#M@-5c,1J5@[or[Q6.' }}
  contentFit="cover"
  transition={200}
  style={styles.image}
/>

Styling (Modern Patterns)

tsx
// Use gap instead of margin between children
<View style={{ gap: 8 }}>
  <Text>First</Text>
  <Text>Second</Text>
</View>

// Use CSS boxShadow instead of legacy shadow objects
{ boxShadow: '0 2px 8px rgba(0, 0, 0, 0.1)' }

// Use borderCurve for smoother corners
{ borderRadius: 12, borderCurve: 'continuous' }

// Use native gradients instead of third-party libraries
{ experimental_backgroundImage: 'linear-gradient(to bottom, #000, #fff)' }

State Management

  • Derive values, never store redundant state. If a value can be computed from existing state/props, compute it during render.
  • Zustand or Jotai over React Context in list items. Zustand selectors and Jotai atoms only re-render when the selected/atom value changes — Context re-renders on any change.
  • Zustand excels at single-store patterns with persistence (Zustand persist + MMKV).
  • Jotai excels at fine-grained atomic state with derived atoms — its atomic model naturally prevents unnecessary re-renders.
  • Use dispatch updaters (setState(prev => ...)) when next state depends on current state.
  • Use fallback pattern (undefined initial state + ?? operator) for reactive defaults.

Modals and Menus

  • Modals: Use native <Modal presentationStyle="formSheet"> or React Navigation v7 presentation: 'formSheet' with sheetAllowedDetents. Avoid JS-based bottom sheet libraries.
  • Menus: Use zeego for native dropdown and context menus. Never build custom JS menus.
  • Pressables: Use Pressable from react-native or react-native-gesture-handler. Never use TouchableOpacity or TouchableHighlight.

Constraints

MUST DO

  • Use LegendList/FlashList for all lists (never ScrollView with .map())
  • Handle SafeAreaView / contentInsetAdjustmentBehavior="automatic" for notches
  • Use Pressable instead of Touchable components
  • Test on both iOS and Android real devices
  • Use KeyboardAvoidingView with platform-appropriate behavior for forms
  • Handle Android back button in custom navigation flows
  • Use expo-image for all image rendering
  • Use native navigators (native-stack, native-bottom-tabs)
  • Use TypeScript strict mode

MUST NOT DO

  • Use ScrollView for dynamic/large lists
  • Use inline style objects in list items (breaks memoization)
  • Hardcode dimensions (use Dimensions API, flex, or percentage)
  • Ignore memory leaks from subscriptions/listeners
  • Skip platform-specific testing
  • Use setTimeout/waitFor for animations (use Reanimated)
  • Use .value on shared values (use .get()/.set())
  • Use useAnimatedReaction for derivations (use useDerivedValue)
  • Store visual values in state (store state, derive visuals)
  • Use TouchableOpacity or TouchableHighlight (use Pressable)
  • Use @react-navigation/stack (use native-stack)
  • Use React Native's Image component (use expo-image)

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Performance Rulesreferences/performance-rules.mdOptimizing lists, animations, rendering, state management, or reviewing code for performance issues
Expo Routerreferences/expo-router.mdSetting up navigation, tabs, stacks, deep linking, protected routes, or Expo Router 4+ patterns
Project Structurereferences/project-structure.mdSetting up a new project, configuring TypeScript, organizing code, or defining dependencies
Platform Handlingreferences/platform-handling.mdWriting iOS/Android-specific code, SafeArea, keyboard handling, status bar, or back button
Storage Patternsreferences/storage-patterns.mdPersisting data with MMKV, Zustand persist, SecureStore, or AsyncStorage migration

Output Format

When implementing React Native features, always provide:

  1. Component code with TypeScript types
  2. Platform-specific handling where differences exist
  3. Navigation integration if the component is a screen
  4. Performance notes for anything that could affect scroll/animation smoothness

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 Expert AI skill do?

Senior React Native and Expo engineer for building production-ready cross-platform mobile apps. Use when building React Native components, implementing navigation with Expo Router, optimizing list and scroll performance, working with animations via Reanimated, handling platform-specific code (iOS/Android), integrating native modules, or structuring Expo projects. Triggers on React Native, Expo, mobile app, iOS app, Android app, cross-platform, native module, FlatList, FlashList, LegendList, Reanimated, Expo Router, mobile performance, app store. Do NOT use for Flutter, web-only React, or ba...

Why use React Native Expert on TypingMind?

Because you install it once and use it with any model. React Native Expert 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 Expert in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(development)/react-native-expert. 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 Expert?

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 Expert?

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

Is the React Native Expert AI skill free?

Yes. It is published on GitHub by tech-leads-club under the CC-BY-4.0 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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