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React Patterns

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rohitg00
react-patterns

React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition

Overview

Publisherrohitg00
Repositoryawesome-claude-code-toolkit
Skill namereact-patterns
Stars
2.6K
Forks
963
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

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

  • Open source

    Published by rohitg00 on GitHub. Read the source before you install it.

Installation

Install the React Patterns 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/rohitg00/awesome-claude-code-toolkit.git /tmp/awesome-claude-code-toolkit
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code-toolkit/skills/react-patterns .claude/skills/react-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Patterns 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 Patterns 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 Patterns 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 Patterns

use() Hook (React 19)

use() reads values from Promises and Context directly in render. Unlike other hooks, it can be called inside conditionals and loops.

tsx
import { use } from 'react';

function UserProfile({ userPromise }: { userPromise: Promise<User> }) {
  const user = use(userPromise);
  return <h1>{user.name}</h1>;
}

function ThemeButton() {
  const theme = use(ThemeContext);
  return <button style={{ background: theme.primary }}>Click</button>;
}

Wrap components that use use() with a Promise in a <Suspense> boundary.

Server Components

tsx
// app/users/page.tsx - Server Component (default, no directive needed)
import { UserList } from './UserList';

export default async function UsersPage() {
  const users = await fetch('https://api.example.com/users', {
    next: { revalidate: 60 },
  }).then(r => r.json());

  return <UserList users={users} />;
}

// app/users/UserList.tsx - Still a Server Component
export function UserList({ users }: { users: User[] }) {
  return (
    <ul>
      {users.map(u => (
        <li key={u.id}>
          {u.name}
          <DeleteButton userId={u.id} />
        </li>
      ))}
    </ul>
  );
}

Push 'use client' as deep as possible. Only leaves that need interactivity should be Client Components.

Server Actions

tsx
// app/actions.ts
'use server';

import { revalidatePath } from 'next/cache';
import { redirect } from 'next/navigation';

export async function createPost(formData: FormData) {
  const title = formData.get('title') as string;
  const body = formData.get('body') as string;

  await db.insert(posts).values({ title, body });

  revalidatePath('/posts');
  redirect('/posts');
}
tsx
// app/posts/new/page.tsx
import { createPost } from '../actions';

export default function NewPostPage() {
  return (
    <form action={createPost}>
      <input name="title" required />
      <textarea name="body" required />
      <button type="submit">Create</button>
    </form>
  );
}

useActionState (React 19)

tsx
'use client';

import { useActionState } from 'react';
import { createUser } from './actions';

function SignupForm() {
  const [state, formAction, isPending] = useActionState(createUser, {
    errors: {},
    message: '',
  });

  return (
    <form action={formAction}>
      <input name="email" />
      {state.errors.email && <p>{state.errors.email}</p>}
      <button disabled={isPending}>
        {isPending ? 'Creating...' : 'Sign Up'}
      </button>
      {state.message && <p>{state.message}</p>}
    </form>
  );
}

useOptimistic (React 19)

tsx
'use client';

import { useOptimistic } from 'react';
import { likePost } from './actions';

function LikeButton({ count, postId }: { count: number; postId: string }) {
  const [optimisticCount, addOptimistic] = useOptimistic(count);

  async function handleLike() {
    addOptimistic(prev => prev + 1);
    await likePost(postId);
  }

  return (
    <form action={handleLike}>
      <button type="submit">{optimisticCount} Likes</button>
    </form>
  );
}

Suspense Boundaries

tsx
import { Suspense } from 'react';

function Dashboard() {
  return (
    <div>
      <Suspense fallback={<StatsSkeleton />}>
        <StatsPanel />
      </Suspense>
      <div className="grid grid-cols-2">
        <Suspense fallback={<ChartSkeleton />}>
          <RevenueChart />
        </Suspense>
        <Suspense fallback={<ListSkeleton />}>
          <RecentActivity />
        </Suspense>
      </div>
    </div>
  );
}

Place Suspense boundaries around independent data-fetching units. Avoid wrapping the entire page in a single boundary (defeats the purpose of streaming).

Error Boundaries

tsx
'use client';

import { Component, type ReactNode } from 'react';

class ErrorBoundary extends Component<
  { fallback: ReactNode; children: ReactNode },
  { hasError: boolean }
> {
  state = { hasError: false };

  static getDerivedStateFromError() {
    return { hasError: true };
  }

  componentDidCatch(error: Error, info: React.ErrorInfo) {
    reportError(error, info.componentStack);
  }

  render() {
    if (this.state.hasError) return this.props.fallback;
    return this.props.children;
  }
}

Or use Next.js error.tsx convention for route-level error handling.

Custom Hooks

tsx
function useDebounce<T>(value: T, delay: number): T {
  const [debounced, setDebounced] = useState(value);

  useEffect(() => {
    const timer = setTimeout(() => setDebounced(value), delay);
    return () => clearTimeout(timer);
  }, [value, delay]);

  return debounced;
}

function useLocalStorage<T>(key: string, initial: T) {
  const [value, setValue] = useState<T>(() => {
    const stored = localStorage.getItem(key);
    return stored ? JSON.parse(stored) : initial;
  });

  useEffect(() => {
    localStorage.setItem(key, JSON.stringify(value));
  }, [key, value]);

  return [value, setValue] as const;
}

Rules for custom hooks:

  • Prefix with use
  • Extract when logic is shared between 2+ components
  • Keep hooks focused on a single concern
  • Return tuples [value, setter] or objects { data, error, loading }

Compound Components

tsx
function Tabs({ children }: { children: ReactNode }) {
  const [active, setActive] = useState(0);
  return (
    <TabsContext value={{ active, setActive }}>
      <div role="tablist">{children}</div>
    </TabsContext>
  );
}

Tabs.Tab = function Tab({ index, children }: { index: number; children: ReactNode }) {
  const { active, setActive } = use(TabsContext);
  return (
    <button
      role="tab"
      aria-selected={active === index}
      onClick={() => setActive(index)}
    >
      {children}
    </button>
  );
};

Tabs.Panel = function Panel({ index, children }: { index: number; children: ReactNode }) {
  const { active } = use(TabsContext);
  if (active !== index) return null;
  return <div role="tabpanel">{children}</div>;
};

// Usage
<Tabs>
  <Tabs.Tab index={0}>Profile</Tabs.Tab>
  <Tabs.Tab index={1}>Settings</Tabs.Tab>
  <Tabs.Panel index={0}><ProfileForm /></Tabs.Panel>
  <Tabs.Panel index={1}><SettingsForm /></Tabs.Panel>
</Tabs>

Performance Rules

  • Avoid creating objects/arrays in JSX props (causes re-renders)
  • Use React.memo only after profiling confirms unnecessary re-renders
  • Prefer useMemo/useCallback for expensive computations or stable references passed to memoized children
  • Use key to reset component state intentionally
  • Colocate state: keep state as close to where it is used as possible
  • Avoid prop drilling beyond 2 levels; use Context or composition instead

Frequently asked questions

What does the React Patterns AI skill do?

React 19 patterns including Server Components, Actions, Suspense, hooks, and component composition

Why use React Patterns on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/react-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use React Patterns?

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 Patterns?

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

Is the React Patterns AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 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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