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React Core

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bobmatnyc
react-core

General React fundamentals - components and JSX, props and state, the core hooks (useState/useEffect/useRef/useMemo/useCallback/useContext), composition, conditional and list rendering, and controlled inputs. The canonical "depends on React" reference.

Overview

Publisherbobmatnyc
Repositoryclaude-mpm-skills
Skill namereact-core
Stars
75
Forks
19
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the React Core 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/bobmatnyc/claude-mpm-skills.git /tmp/claude-mpm-skills
mkdir -p .claude/skills
cp -r /tmp/claude-mpm-skills/toolchains/javascript/frameworks/react/react-core .claude/skills/react-core
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Core 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 Core 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 Core 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 Core Fundamentals

Overview

The canonical reference for general React fundamentals. This skill covers the building blocks every React application shares: components and JSX, props and state, the core hooks, composition patterns, conditional and list rendering, and controlled inputs. It is the baseline "depends on React" target for ecosystem skills (styling, data fetching, state management, deployment) that assume core React knowledge.

Keep this skill focused on fundamentals. For advanced hook composition (SWR-backed custom hooks, debounced contexts, memoized providers), use the sibling react-hooks-composition skill. For explicit finite-state-machine modeling of complex UI flows, use the sibling react-state-machine skill.

When to Use This Skill

Reach for this skill when:

  • Building components, wiring props, or managing local state
  • Choosing among the core hooks for a given problem
  • Rendering lists or conditional UI
  • Implementing controlled form inputs
  • Establishing the React baseline that another ecosystem skill depends on

Components and JSX

A React component is a function that returns JSX. Name components in PascalCase. Return a single root node, or wrap siblings in a fragment (<>...</>).

tsx
type GreetingProps = {
  name: string;
};

function Greeting({ name }: GreetingProps) {
  return (
    <>
      <h1>Hello, {name}</h1>
      <p>Welcome back.</p>
    </>
  );
}

JSX embeds expressions inside {}. Attributes use camelCase (className, onClick, htmlFor). JSX returns a description of the UI; React reconciles it against the DOM.

Props and State

Props pass data down from parent to child and are read-only inside the child. State holds data a component owns and mutates over time.

tsx
import { useState } from 'react';

function Counter({ step = 1 }: { step?: number }) {
  const [count, setCount] = useState(0);

  return (
    <button onClick={() => setCount((prev) => prev + step)}>
      Count: {count}
    </button>
  );
}

Treat props and state as immutable. Update state through the setter, and prefer the functional updater (setCount(prev => prev + 1)) when the next value derives from the previous one.

Core Hooks Overview

Call hooks only at the top level of a component or custom hook, never inside conditionals, loops, or nested functions. This rule keeps hook call order stable across renders.

useState — local component state

Holds a value and a setter. Re-renders the component when the value changes.

tsx
const [open, setOpen] = useState(false);

useEffect — synchronize with external systems

Runs after render to perform side effects: subscriptions, timers, data fetching, manual DOM work. The dependency array controls when the effect re-runs. Return a cleanup function to tear down subscriptions.

tsx
import { useEffect, useState } from 'react';

function WindowWidth() {
  const [width, setWidth] = useState(window.innerWidth);

  useEffect(() => {
    const onResize = () => setWidth(window.innerWidth);
    window.addEventListener('resize', onResize);
    return () => window.removeEventListener('resize', onResize);
  }, []); // empty deps: subscribe once on mount, clean up on unmount

  return <span>{width}px</span>;
}

useRef — mutable value that survives renders

Stores a mutable value without triggering re-renders. Common uses: referencing a DOM node, or holding a value across renders (timer ids, previous values).

tsx
import { useRef, useEffect } from 'react';

function AutoFocusInput() {
  const inputRef = useRef<HTMLInputElement>(null);
  useEffect(() => inputRef.current?.focus(), []);
  return <input ref={inputRef} />;
}

useMemo — cache an expensive computation

Recomputes a value only when its dependencies change. Apply it for genuinely expensive calculations or to stabilize reference identity passed to memoized children.

tsx
const sorted = useMemo(() => items.slice().sort(compare), [items]);

useCallback — stabilize a function reference

Returns the same function instance across renders while dependencies stay equal. Pass stable callbacks to memoized children or to effect dependency arrays.

tsx
const handleSelect = useCallback((id: string) => onSelect(id), [onSelect]);

useContext — read shared state without prop drilling

Reads the current value of a context provided higher in the tree.

tsx
import { createContext, useContext } from 'react';

const ThemeContext = createContext<'light' | 'dark'>('light');

function ThemedLabel() {
  const theme = useContext(ThemeContext);
  return <span className={theme}>Themed</span>;
}

For memoized provider patterns that prevent unnecessary consumer re-renders, see react-hooks-composition.

Composition Patterns

Favor composition over configuration. Pass content through children and pass behavior through props.

tsx
function Card({ title, children }: { title: string; children: React.ReactNode }) {
  return (
    <section className="card">
      <h2>{title}</h2>
      <div className="card-body">{children}</div>
    </section>
  );
}

// Usage
<Card title="Profile">
  <Avatar />
  <p>Bio text</p>
</Card>;

Extract shared logic into custom hooks (useSomething) rather than copying it between components. Keep components small and single-purpose.

Conditional and List Rendering

Render conditionally with && for presence or a ternary for either/or. Render lists with map, and give each item a stable key derived from its identity (not the array index where order can change).

tsx
function TodoList({ todos }: { todos: { id: string; text: string; done: boolean }[] }) {
  if (todos.length === 0) return <p>No todos yet.</p>;

  return (
    <ul>
      {todos.map((todo) => (
        <li key={todo.id}>
          {todo.done ? <s>{todo.text}</s> : todo.text}
        </li>
      ))}
    </ul>
  );
}

Controlled Inputs

A controlled input derives its value from state and reports changes through onChange. State is the single source of truth.

tsx
import { useState } from 'react';

function NameField() {
  const [name, setName] = useState('');

  return (
    <label>
      Name
      <input
        value={name}
        onChange={(event) => setName(event.target.value)}
      />
    </label>
  );
}

Anti-Patterns to Avoid

❌ Don't: Mutate state directly

Direct mutation skips the setter, so React does not re-render.

tsx
// BAD: mutates the array in place; React sees the same reference
function addItem(items: string[], next: string) {
  items.push(next);
  setItems(items);
}
tsx
// GOOD: create a new array so the reference changes
function addItem(items: string[], next: string) {
  setItems([...items, next]);
}

❌ Don't: Call hooks conditionally

Conditional hook calls break the stable call order React relies on.

tsx
// BAD: hook call order changes between renders
function Profile({ id }: { id?: string }) {
  if (id) {
    const data = useUser(id); // conditional hook call
    return <span>{data.name}</span>;
  }
  return null;
}
tsx
// GOOD: call the hook unconditionally; branch on its result
function Profile({ id }: { id?: string }) {
  const data = useUser(id); // useUser must accept an undefined id (no fetch / returns null) so the hook is always called
  if (!id || !data) return null;
  return <span>{data.name}</span>;
}

❌ Don't: Use array index as key for reorderable lists

Index keys cause React to misattribute state when items move.

tsx
// BAD: index key breaks on reorder/insert/delete
{items.map((item, i) => <Row key={i} item={item} />)}
tsx
// GOOD: stable identity key
{items.map((item) => <Row key={item.id} item={item} />)}

When to Reach for Sibling Skills

  • react-hooks-composition: advanced custom-hook composition — SWR-backed data fetching, debounced search with dual loading states, memoized context providers, and reusable async state hooks.
  • react-state-machine: explicit finite-state-machine modeling with XState v5 for complex flows (multi-step forms, media players, modals with animations) where impossible states must be unrepresentable.
  • react-advanced: React 19 platform features and rendering architecture — the React Compiler (auto-memoization), concurrent rendering, the use() hook, Actions, virtualization, code-splitting, and the RSC boundary.

Best Practices Summary

  1. Components return JSX: PascalCase names, single root or fragment.
  2. Props are read-only: pass data down, lift state up when sharing.
  3. Update state immutably: use the setter, prefer the functional updater.
  4. Top-level hooks only: never call hooks conditionally.
  5. Effects synchronize external systems: scope with dependencies, clean up subscriptions.
  6. Memoize deliberately: apply useMemo/useCallback for expensive work or stable identity, not by default.
  7. Stable keys: key lists by identity, not array index.
  8. Controlled inputs: state is the single source of truth.

References

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 Core AI skill do?

General React fundamentals - components and JSX, props and state, the core hooks (useState/useEffect/useRef/useMemo/useCallback/useContext), composition, conditional and list rendering, and controlled inputs. The canonical "depends on React" reference.

Why use React Core on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bobmatnyc/claude-mpm-skills/tree/main/toolchains/javascript/frameworks/react/react-core. 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 Core?

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 Core?

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

Is the React Core AI skill free?

Yes. It is published on GitHub by bobmatnyc 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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