Modern Best Practice React Components logo

Modern Best Practice React Components

Organization
academind
modern-best-practice-react-components

Build clean, modern React components that apply common best practices and avoid common pitfalls like unnecessary state management or useEffect usage

Overview

Publisheracademind
Repositoryclaude-code-course-resources
Skill namemodern-best-practice-react-components
Stars
149
Forks
164
Bundled files
1
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 academind on GitHub. Read the source before you install it.

Installation

Install the Modern Best Practice React Components 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/academind/claude-code-course-resources.git /tmp/claude-code-course-resources
mkdir -p .claude/skills
cp -r /tmp/claude-code-course-resources/other/skills/modern-best-practice-react-components .claude/skills/modern-best-practice-react-components
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Modern Best Practice React Components 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 Modern Best Practice React Components 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 Modern Best Practice React Components 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.

Writing React Components

We're using modern React (19+) and we're following common best practices focused on clarity, correctness, and maintainability.

Component Structure & Style

  • PREFER small, focused components with a single responsibility
  • PREFER named function components over arrow functions
    • Exception: anonymous callbacks, inline render props, and closures
  • PREFER explicit return types and props typing (TypeScript) where applicable
  • Keep components flat and readable; avoid deeply nested JSX
  • Group related logic together (event handlers, derived values, helpers)

State Management

  • AVOID useEffect()
    • See the "You Might Not Need An Effect" guide for detailed guidance
    • PREFER deriving values during render instead of synchronizing state
    • Fetch data via TanStack Query (@tanstack/react-query)
  • AVOID unnecessary useState() or useReducer() usage
    • Derive state from props or other state when possible
    • Localize state to the lowest possible component
  • DO NOT mirror props in state unless absolutely necessary
  • Prefer controlled components over syncing uncontrolled state

Rendering & Derivation

  • PREFER computing derived values inline or via helper functions
  • Use useMemo() sparingly and only for proven performance issues
  • AVOID premature optimization
  • Keep render logic deterministic and free of side effects

Event Handling

  • AVOID in-line event handlers in JSX

    • PREFER:

      tsx
      function handleClick() {
        // ...
      }
      
      <button onClick={handleClick} />;
    • Over:

      tsx
      <button
        onClick={() => {
          /* ... */
        }}
      />
  • Name handlers clearly (handleSubmit, handleChange, handleClose)

  • Keep handlers small; extract complex logic into helpers

Effects, Data, and Side Effects

  • AVOID effects for:
    • Derived state
    • Data transformations
    • Event-based logic that can live in handlers
  • If side effects are unavoidable, keep them minimal, isolated, and well-documented
  • Prefer framework-level or external abstractions (routers, data libraries) over raw effects

Props & Composition

  • PREFER composition over configuration
  • AVOID excessive boolean props; prefer expressive APIs
  • Use children intentionally and document expected structure
  • Keep prop names semantic and predictable

Performance & Stability

  • PREFER stable references only when required (not by default)
  • AVOID unnecessary memoization (memo, useCallback) unless absolutely required
  • Keep keys stable and meaningful when rendering lists

General Principles

  • Write code for humans first, compilers second
  • Prefer explicitness over cleverness
  • Optimize for readability and long-term maintenance
  • If a pattern feels complex, reconsider the component boundary

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 Modern Best Practice React Components AI skill do?

Build clean, modern React components that apply common best practices and avoid common pitfalls like unnecessary state management or useEffect usage

Why use Modern Best Practice React Components on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/academind/claude-code-course-resources/tree/main/other/skills/modern-best-practice-react-components. 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 Modern Best Practice React Components?

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 Modern Best Practice React Components?

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

Is the Modern Best Practice React Components AI skill free?

It is published on GitHub by academind. 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.

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