React Best Practices logo

React Best Practices

Organization
aiskillstore
react-best-practices

Use when reading or writing React components (.tsx, .jsx files with React imports).

Overview

Publisheraiskillstore
Repositorymarketplace
Skill namereact-best-practices
Stars
427
Forks
45
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the React Best Practices 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/aiskillstore/marketplace.git /tmp/marketplace
mkdir -p .claude/skills
cp -r /tmp/marketplace/skills/0xbigboss/react-best-practices .claude/skills/react-best-practices
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Best Practices 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 Best Practices 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 Best Practices 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 Best Practices

Pair with TypeScript

When working with React, always load both this skill and typescript-best-practices together. TypeScript patterns (type-first development, discriminated unions, Zod validation) apply to React code.

Core Principle: Effects Are Escape Hatches

Effects let you "step outside" React to synchronize with external systems. Most component logic should NOT use Effects. Before writing an Effect, ask: "Is there a way to do this without an Effect?"

Decision Tree

  1. Need to respond to user interaction? Use event handler
  2. Need computed value from props/state? Calculate during render
  3. Need cached expensive calculation? Use useMemo
  4. Need to reset state on prop change? Use key prop
  5. Need to synchronize with external system? Use Effect with cleanup
  6. Need non-reactive code in Effect? Use useEffectEvent
  7. Need mutable value that doesn't trigger render? Use ref

When to Use Effects

Synchronizing with external systems: browser APIs (WebSocket, IntersectionObserver), third-party non-React libraries, window/document event listeners, non-React DOM elements (video, maps).

When NOT to Use Effects

  • Derived state — calculate during render
  • Expensive calculations — use useMemo
  • Resetting state on prop change — use key prop
  • Responding to user events — use event handlers
  • Notifying parent of state changes — update both in the same event handler
  • Chains of effects — calculate derived state and update in one event handler

Refs

  • Use for values that don't affect rendering (timer IDs, DOM node references)
  • Never read or write ref.current during render; only in event handlers and effects
  • Use ref callbacks (not useRef in loops) for dynamic lists
  • Use useImperativeHandle to limit what parent can access

Custom Hooks

  • Share logic, not state — each call gets an independent state instance
  • Name useXxx only if it actually calls other hooks; otherwise use a regular function
  • Avoid lifecycle hooks (useMount, useEffectOnce) — use useEffect directly so the linter catches missing deps
  • Keep focused on a single concrete use case

Component Patterns

  • Controlled: parent owns state; uncontrolled: component owns state
  • Prefer composition with children over prop drilling
  • Treat boolean props that switch large component trees (isEditing, isThread, hideAttachments) as a composition smell; prefer separate composed components for distinct use cases
  • For complex reusable UI, prefer compound components with provider-scoped state/actions over monolithic components with many optional props
  • Use Context for scoped component families as well as truly global state, when it defines a local interface consumed by descendants
  • Render JSX directly for UI variation; avoid config-array mini-frameworks unless the config is real domain data
  • Lift the provider boundary when sibling or external controls need access to the same state/actions
  • Use flushSync when you need to read the DOM synchronously after a state update

See react-patterns.md for code examples and detailed patterns.

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 Best Practices AI skill do?

Use when reading or writing React components (.tsx, .jsx files with React imports).

Why use React Best Practices on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiskillstore/marketplace/tree/main/skills/0xbigboss/react-best-practices. 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 Best Practices?

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 Best Practices?

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

Is the React Best Practices AI skill free?

It is published on GitHub by aiskillstore. Check the repository for licensing terms. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇