React Dev logo

React Dev

OrganizationPopular
softaworks
react-dev

This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).

Overview

Publishersoftaworks
Repositoryagent-toolkit
Skill namereact-dev
Stars
2.5K
Forks
226
Bundled files
7
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.

  • 7 bundled files

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

  • Open source

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

Installation

Install the React Dev 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/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/react-dev .claude/skills/react-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Dev 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 Dev 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 Dev 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 TypeScript

Type-safe React = compile-time guarantees = confident refactoring.

<when_to_use>

  • Building typed React components
  • Implementing generic components
  • Typing event handlers, forms, refs
  • Using React 19 features (Actions, Server Components, use())
  • Router integration (TanStack Router, React Router)
  • Custom hooks with proper typing

NOT for: non-React TypeScript, vanilla JS React

</when_to_use>

<react_19_changes>

React 19 breaking changes require migration. Key patterns:

ref as prop - forwardRef deprecated:

typescript
// React 19 - ref as regular prop
type ButtonProps = {
  ref?: React.Ref<HTMLButtonElement>;
} & React.ComponentPropsWithoutRef<'button'>;

function Button({ ref, children, ...props }: ButtonProps) {
  return <button ref={ref} {...props}>{children}</button>;
}

useActionState - replaces useFormState:

typescript
import { useActionState } from 'react';

type FormState = { errors?: string[]; success?: boolean };

function Form() {
  const [state, formAction, isPending] = useActionState(submitAction, {});
  return <form action={formAction}>...</form>;
}

use() - unwraps promises/context:

typescript
function UserProfile({ userPromise }: { userPromise: Promise<User> }) {
  const user = use(userPromise); // Suspends until resolved
  return <div>{user.name}</div>;
}

See react-19-patterns.md for useOptimistic, useTransition, migration checklist.

</react_19_changes>

<component_patterns>

Props - extend native elements:

typescript
type ButtonProps = {
  variant: 'primary' | 'secondary';
} & React.ComponentPropsWithoutRef<'button'>;

function Button({ variant, children, ...props }: ButtonProps) {
  return <button className={variant} {...props}>{children}</button>;
}

Children typing:

typescript
type Props = {
  children: React.ReactNode;          // Anything renderable
  icon: React.ReactElement;           // Single element
  render: (data: T) => React.ReactNode;  // Render prop
};

Discriminated unions for variant props:

typescript
type ButtonProps =
  | { variant: 'link'; href: string }
  | { variant: 'button'; onClick: () => void };

function Button(props: ButtonProps) {
  if (props.variant === 'link') {
    return <a href={props.href}>Link</a>;
  }
  return <button onClick={props.onClick}>Button</button>;
}

</component_patterns>

<event_handlers>

Use specific event types for accurate target typing:

typescript
// Mouse
function handleClick(e: React.MouseEvent<HTMLButtonElement>) {
  e.currentTarget.disabled = true;
}

// Form
function handleSubmit(e: React.FormEvent<HTMLFormElement>) {
  e.preventDefault();
  const formData = new FormData(e.currentTarget);
}

// Input
function handleChange(e: React.ChangeEvent<HTMLInputElement>) {
  console.log(e.target.value);
}

// Keyboard
function handleKeyDown(e: React.KeyboardEvent<HTMLInputElement>) {
  if (e.key === 'Enter') e.currentTarget.blur();
}

See event-handlers.md for focus, drag, clipboard, touch, wheel events.

</event_handlers>

<hooks_typing>

useState - explicit for unions/null:

typescript
const [user, setUser] = useState<User | null>(null);
const [status, setStatus] = useState<'idle' | 'loading'>('idle');

useRef - null for DOM, value for mutable:

typescript
const inputRef = useRef<HTMLInputElement>(null);  // DOM - use ?.
const countRef = useRef<number>(0);               // Mutable - direct access

useReducer - discriminated unions for actions:

typescript
type Action =
  | { type: 'increment' }
  | { type: 'set'; payload: number };

function reducer(state: State, action: Action): State {
  switch (action.type) {
    case 'set': return { ...state, count: action.payload };
    default: return state;
  }
}

Custom hooks - tuple returns with as const:

typescript
function useToggle(initial = false) {
  const [value, setValue] = useState(initial);
  const toggle = () => setValue(v => !v);
  return [value, toggle] as const;
}

useContext - null guard pattern:

typescript
const UserContext = createContext<User | null>(null);

function useUser() {
  const user = useContext(UserContext);
  if (!user) throw new Error('useUser outside UserProvider');
  return user;
}

See hooks.md for useCallback, useMemo, useImperativeHandle, useSyncExternalStore.

</hooks_typing>

<generic_components>

Generic components infer types from props - no manual annotations at call site.

Pattern - keyof T for column keys, render props for custom rendering:

typescript
type Column<T> = {
  key: keyof T;
  header: string;
  render?: (value: T[keyof T], item: T) => React.ReactNode;
};

type TableProps<T> = {
  data: T[];
  columns: Column<T>[];
  keyExtractor: (item: T) => string | number;
};

function Table<T>({ data, columns, keyExtractor }: TableProps<T>) {
  return (
    <table>
      <thead>
        <tr>{columns.map(col => <th key={String(col.key)}>{col.header}</th>)}</tr>
      </thead>
      <tbody>
        {data.map(item => (
          <tr key={keyExtractor(item)}>
            {columns.map(col => (
              <td key={String(col.key)}>
                {col.render ? col.render(item[col.key], item) : String(item[col.key])}
              </td>
            ))}
          </tr>
        ))}
      </tbody>
    </table>
  );
}

Constrained generics for required properties:

typescript
type HasId = { id: string | number };

function List<T extends HasId>({ items }: { items: T[] }) {
  return <ul>{items.map(item => <li key={item.id}>...</li>)}</ul>;
}

See generic-components.md for Select, List, Modal, FormField patterns.

</generic_components>

<server_components>

React 19 Server Components run on server, can be async.

Async data fetching:

typescript
export default async function UserPage({ params }: { params: { id: string } }) {
  const user = await fetchUser(params.id);
  return <div>{user.name}</div>;
}

Server Actions - 'use server' for mutations:

typescript
'use server';

export async function updateUser(userId: string, formData: FormData) {
  await db.user.update({ where: { id: userId }, data: { ... } });
  revalidatePath(`/users/${userId}`);
}

Client + Server Action:

typescript
'use client';

import { useActionState } from 'react';
import { updateUser } from '@/actions/user';

function UserForm({ userId }: { userId: string }) {
  const [state, formAction, isPending] = useActionState(
    (prev, formData) => updateUser(userId, formData), {}
  );
  return <form action={formAction}>...</form>;
}

use() for promise handoff:

typescript
// Server: pass promise without await
async function Page() {
  const userPromise = fetchUser('123');
  return <UserProfile userPromise={userPromise} />;
}

// Client: unwrap with use()
'use client';
function UserProfile({ userPromise }: { userPromise: Promise<User> }) {
  const user = use(userPromise);
  return <div>{user.name}</div>;
}

See server-components.md for parallel fetching, streaming, error boundaries.

</server_components>

Both TanStack Router and React Router v7 provide type-safe routing solutions.

TanStack Router - Compile-time type safety with Zod validation:

typescript
import { createRoute } from '@tanstack/react-router';
import { z } from 'zod';

const userRoute = createRoute({
  path: '/users/$userId',
  component: UserPage,
  loader: async ({ params }) => ({ user: await fetchUser(params.userId) }),
  validateSearch: z.object({
    tab: z.enum(['profile', 'settings']).optional(),
    page: z.number().int().positive().default(1),
  }),
});

function UserPage() {
  const { user } = useLoaderData({ from: userRoute.id });
  const { tab, page } = useSearch({ from: userRoute.id });
  const { userId } = useParams({ from: userRoute.id });
}

React Router v7 - Automatic type generation with Framework Mode:

typescript
import type { Route } from "./+types/user";

export async function loader({ params }: Route.LoaderArgs) {
  return { user: await fetchUser(params.userId) };
}

export default function UserPage({ loaderData }: Route.ComponentProps) {
  const { user } = loaderData; // Typed from loader
  return <h1>{user.name}</h1>;
}

See tanstack-router.md for TanStack patterns and react-router.md for React Router patterns.

ALWAYS:

  • Specific event types (MouseEvent, ChangeEvent, etc)
  • Explicit useState for unions/null
  • ComponentPropsWithoutRef for native element extension
  • Discriminated unions for variant props
  • as const for tuple returns
  • ref as prop in React 19 (no forwardRef)
  • useActionState for form actions
  • Type-safe routing patterns (see routing section)

NEVER:

  • any for event handlers
  • JSX.Element for children (use ReactNode)
  • forwardRef in React 19+
  • useFormState (deprecated)
  • Forget null handling for DOM refs
  • Mix Server/Client components in same file
  • Await promises when passing to use()

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 Dev AI skill do?

This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).

Why use React Dev on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/react-dev. 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 Dev?

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 Dev?

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

Is the React Dev AI skill free?

Yes. It is published on GitHub by softaworks 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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