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React Native

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alinaqi
react-native

React Native mobile patterns, platform-specific code

Overview

Publisheralinaqi
Repositorymaggy
Skill namereact-native
Stars
707
Forks
57
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the React Native 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.
    https://github.com/alinaqi/maggy/tree/main/skills/react-native
  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/alinaqi/maggy.git /tmp/maggy
mkdir -p .claude/skills
cp -r /tmp/maggy/skills/react-native .claude/skills/react-native
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Native 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 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 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 Skill


Project Structure

project/
├── src/
│   ├── core/                   # Pure business logic (no React)
│   │   ├── types.ts
│   │   └── services/
│   ├── components/             # Reusable UI components
│   │   ├── Button/
│   │   │   ├── Button.tsx
│   │   │   ├── Button.test.tsx
│   │   │   └── index.ts
│   │   └── index.ts            # Barrel export
│   ├── screens/                # Screen components
│   │   ├── Home/
│   │   │   ├── HomeScreen.tsx
│   │   │   ├── useHome.ts      # Screen-specific hook
│   │   │   └── index.ts
│   │   └── index.ts
│   ├── navigation/             # Navigation configuration
│   ├── hooks/                  # Shared custom hooks
│   ├── store/                  # State management
│   └── utils/                  # Utilities
├── __tests__/
├── android/
├── ios/
└── CLAUDE.md

Component Patterns

Functional Components Only

typescript
// Good - simple, testable
interface ButtonProps {
  label: string;
  onPress: () => void;
  disabled?: boolean;
}

export function Button({ label, onPress, disabled = false }: ButtonProps): JSX.Element {
  return (
    <Pressable onPress={onPress} disabled={disabled}>
      <Text>{label}</Text>
    </Pressable>
  );
}

Extract Logic to Hooks

typescript
// useHome.ts - all logic here
export function useHome() {
  const [items, setItems] = useState<Item[]>([]);
  const [loading, setLoading] = useState(false);

  const refresh = useCallback(async () => {
    setLoading(true);
    const data = await fetchItems();
    setItems(data);
    setLoading(false);
  }, []);

  return { items, loading, refresh };
}

// HomeScreen.tsx - pure presentation
export function HomeScreen(): JSX.Element {
  const { items, loading, refresh } = useHome();
  
  return (
    <ItemList items={items} loading={loading} onRefresh={refresh} />
  );
}

Props Interface Always Explicit

typescript
// Always define props interface, even if simple
interface ItemCardProps {
  item: Item;
  onPress: (id: string) => void;
}

export function ItemCard({ item, onPress }: ItemCardProps): JSX.Element {
  ...
}

State Management

Local State First

typescript
// Start with useState, escalate only when needed
const [value, setValue] = useState('');

Zustand for Global State (if needed)

typescript
// store/useAppStore.ts
import { create } from 'zustand';

interface AppState {
  user: User | null;
  setUser: (user: User | null) => void;
}

export const useAppStore = create<AppState>((set) => ({
  user: null,
  setUser: (user) => set({ user }),
}));

React Query for Server State

typescript
// hooks/useItems.ts
import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query';

export function useItems() {
  return useQuery({
    queryKey: ['items'],
    queryFn: fetchItems,
  });
}

export function useCreateItem() {
  const queryClient = useQueryClient();
  
  return useMutation({
    mutationFn: createItem,
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['items'] });
    },
  });
}

Testing

Component Testing with React Native Testing Library

typescript
import { render, fireEvent } from '@testing-library/react-native';
import { Button } from './Button';

describe('Button', () => {
  it('calls onPress when pressed', () => {
    const onPress = jest.fn();
    const { getByText } = render(<Button label="Click me" onPress={onPress} />);
    
    fireEvent.press(getByText('Click me'));
    
    expect(onPress).toHaveBeenCalledTimes(1);
  });

  it('does not call onPress when disabled', () => {
    const onPress = jest.fn();
    const { getByText } = render(<Button label="Click me" onPress={onPress} disabled />);
    
    fireEvent.press(getByText('Click me'));
    
    expect(onPress).not.toHaveBeenCalled();
  });
});

Hook Testing

typescript
import { renderHook, act } from '@testing-library/react-hooks';
import { useCounter } from './useCounter';

describe('useCounter', () => {
  it('increments counter', () => {
    const { result } = renderHook(() => useCounter());
    
    act(() => {
      result.current.increment();
    });
    
    expect(result.current.count).toBe(1);
  });
});

Platform-Specific Code

Use Platform.select Sparingly

typescript
import { Platform } from 'react-native';

const styles = StyleSheet.create({
  shadow: Platform.select({
    ios: {
      shadowColor: '#000',
      shadowOffset: { width: 0, height: 2 },
      shadowOpacity: 0.1,
    },
    android: {
      elevation: 2,
    },
  }),
});

Separate Files for Complex Differences

Component/
├── Component.tsx          # Shared logic
├── Component.ios.tsx      # iOS-specific
├── Component.android.tsx  # Android-specific
└── index.ts

React Native Anti-Patterns

  • ❌ Inline styles - use StyleSheet.create
  • ❌ Logic in render - extract to hooks
  • ❌ Deep component nesting - flatten hierarchy
  • ❌ Anonymous functions in props - use useCallback
  • ❌ Index as key in lists - use stable IDs
  • ❌ Direct state mutation - always use setter
  • ❌ Mixing business logic with UI - keep core/ pure
  • ❌ Ignoring TypeScript errors - fix them
  • ❌ Large components - split into smaller pieces

Frequently asked questions

What does the React Native AI skill do?

React Native mobile patterns, platform-specific code

Why use React Native on TypingMind?

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

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

Which AI models can use React Native?

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?

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

Is the React Native AI skill free?

Yes. It is published on GitHub by alinaqi 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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