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React Native Expert

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Jeffallan
react-native-expert

Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namereact-native-expert
Stars
11.5K
Forks
1.1K
Bundled files
5
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.

  • 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 Jeffallan 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.
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/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/react-native-expert .claude/skills/react-native-expert
Restart Claude Code after copying so it picks up the new skill.

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.

Core Workflow

  1. Setup — Expo Router or React Navigation, TypeScript config → run npx expo doctor to verify environment and SDK compatibility; fix any reported issues before proceeding
  2. Structure — Feature-based organization
  3. Implement — Components with platform handling → verify on iOS simulator and Android emulator; check Metro bundler output for errors before moving on
  4. Optimize — FlatList, images, memory → profile with Flipper or React DevTools
  5. Test — Both platforms, real devices

Error Recovery

  • Metro bundler errors → clear cache with npx expo start --clear, then restart
  • iOS build fails → check Xcode logs → resolve native dependency or provisioning issue → rebuild with npx expo run:ios
  • Android build fails → check adb logcat or Gradle output → resolve SDK/NDK version mismatch → rebuild with npx expo run:android
  • Native module not found → run npx expo install <module> to ensure compatible version, then rebuild native layers

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Navigationreferences/expo-router.mdExpo Router, tabs, stacks, deep linking
Platformreferences/platform-handling.mdiOS/Android code, SafeArea, keyboard
Listsreferences/list-optimization.mdFlatList, performance, memo
Storagereferences/storage-hooks.mdAsyncStorage, MMKV, persistence
Structurereferences/project-structure.mdProject setup, architecture

Constraints

MUST DO

  • Use FlatList/SectionList for lists (not ScrollView)
  • Implement memo + useCallback for list items
  • Handle SafeAreaView for notches
  • Test on both iOS and Android real devices
  • Use KeyboardAvoidingView for forms
  • Handle Android back button in navigation

MUST NOT DO

  • Use ScrollView for large lists
  • Use inline styles extensively (creates new objects)
  • Hardcode dimensions (use Dimensions API or flex)
  • Ignore memory leaks from subscriptions
  • Skip platform-specific testing
  • Use waitFor/setTimeout for animations (use Reanimated)

Code Examples

Optimized FlatList with memo + useCallback

tsx
import React, { memo, useCallback } from 'react';
import { FlatList, View, Text, StyleSheet } from 'react-native';

type Item = { id: string; title: string };

const ListItem = memo(({ title, onPress }: { title: string; onPress: () => void }) => (
  <View style={styles.item}>
    <Text onPress={onPress}>{title}</Text>
  </View>
));

export function ItemList({ data }: { data: Item[] }) {
  const handlePress = useCallback((id: string) => {
    console.log('pressed', id);
  }, []);

  const renderItem = useCallback(
    ({ item }: { item: Item }) => (
      <ListItem title={item.title} onPress={() => handlePress(item.id)} />
    ),
    [handlePress]
  );

  return (
    <FlatList
      data={data}
      keyExtractor={(item) => item.id}
      renderItem={renderItem}
      removeClippedSubviews
      maxToRenderPerBatch={10}
      windowSize={5}
    />
  );
}

const styles = StyleSheet.create({
  item: { padding: 16, borderBottomWidth: StyleSheet.hairlineWidth },
});

KeyboardAvoidingView Form

tsx
import React from 'react';
import {
  KeyboardAvoidingView,
  Platform,
  ScrollView,
  TextInput,
  StyleSheet,
  SafeAreaView,
} from 'react-native';

export function LoginForm() {
  return (
    <SafeAreaView style={styles.safe}>
      <KeyboardAvoidingView
        style={styles.flex}
        behavior={Platform.OS === 'ios' ? 'padding' : 'height'}
      >
        <ScrollView contentContainerStyle={styles.content} keyboardShouldPersistTaps="handled">
          <TextInput style={styles.input} placeholder="Email" autoCapitalize="none" />
          <TextInput style={styles.input} placeholder="Password" secureTextEntry />
        </ScrollView>
      </KeyboardAvoidingView>
    </SafeAreaView>
  );
}

const styles = StyleSheet.create({
  safe: { flex: 1 },
  flex: { flex: 1 },
  content: { padding: 16, gap: 12 },
  input: { borderWidth: 1, borderRadius: 8, padding: 12, fontSize: 16 },
});

Platform-Specific Component

tsx
import { Platform, StyleSheet, View, Text } from 'react-native';

export function StatusChip({ label }: { label: string }) {
  return (
    <View style={styles.chip}>
      <Text style={styles.label}>{label}</Text>
    </View>
  );
}

const styles = StyleSheet.create({
  chip: {
    paddingHorizontal: 12,
    paddingVertical: 4,
    borderRadius: 999,
    backgroundColor: '#0a7ea4',
    // Platform-specific shadow
    ...Platform.select({
      ios: { shadowColor: '#000', shadowOffset: { width: 0, height: 2 }, shadowOpacity: 0.2, shadowRadius: 4 },
      android: { elevation: 3 },
    }),
  },
  label: { color: '#fff', fontSize: 13, fontWeight: '600' },
});

Output Format

When implementing React Native features, deliver:

  1. Component code — TypeScript, with prop types defined
  2. Platform handlingPlatform.select or .ios.tsx / .android.tsx splits as needed
  3. Navigation integration — route params typed, back-button handling included
  4. Performance notes — memo boundaries, key extractor strategy, image caching

Knowledge Reference

React Native 0.73+, Expo SDK 50+, Expo Router, React Navigation 7, Reanimated 3, Gesture Handler, AsyncStorage, MMKV, React Query, Zustand

Documentation

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?

Builds, optimizes, and debugs cross-platform mobile applications with React Native and Expo. Implements navigation hierarchies (tabs, stacks, drawers), configures native modules, optimizes FlatList rendering with memo and useCallback, and handles platform-specific code for iOS and Android. Use when building a React Native or Expo mobile app, setting up navigation, integrating native modules, improving scroll performance, handling SafeArea or keyboard input, or configuring Expo SDK projects.

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/Jeffallan/claude-skills/tree/main/skills/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 Jeffallan 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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