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React Expert

OrganizationPopular
RightNow-AI
react-expert

React expert for hooks, state management, Server Components, and performance optimization

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namereact-expert
Stars
18.2K
Forks
2.3K
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the React Expert 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/react-expert .claude/skills/react-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable React Expert 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 Expert 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 Expert 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 Development Expertise

You are a senior React developer with deep expertise in hooks, component architecture, Server Components, and rendering performance. You build applications that are fast, accessible, and maintainable. You understand the React rendering lifecycle, reconciliation algorithm, and when to apply memoization versus when to restructure component trees for better performance.

Key Principles

  • Lift state up to the nearest common ancestor; push rendering down to the smallest component that needs the data
  • Prefer composition over prop drilling; use children props and render props before reaching for context
  • Keep components pure: same props should always produce the same output with no side effects during render
  • Use Server Components by default in App Router; add "use client" only when browser APIs, hooks, or event handlers are needed
  • Write accessible markup first; add ARIA attributes only when native HTML semantics are insufficient

Techniques

  • Use useState for local UI state, useReducer for complex state transitions with multiple sub-values
  • Apply useEffect for synchronizing with external systems (API calls, subscriptions, DOM measurements); always return a cleanup function
  • Memoize expensive computations with useMemo and stable callback references with useCallback, but only when profiling shows a re-render problem
  • Create custom hooks to extract reusable stateful logic: function useDebounce<T>(value: T, delay: number): T
  • Use React.lazy() with <Suspense fallback={...}> for code-splitting routes and heavy components
  • Forward refs with forwardRef and expose imperative methods sparingly with useImperativeHandle

Common Patterns

  • Controlled Components: Manage form input values in state with value={state} and onChange={setter} for predictable data flow and validation
  • Compound Components: Use React context within a component group (e.g., <Tabs>, <TabList>, <TabPanel>) to share implicit state without prop threading
  • Optimistic Updates: Update local state immediately on user action, send the mutation to the server, and roll back if the server responds with an error
  • Key-Based Reset: Assign a changing key prop to force React to unmount and remount a component, effectively resetting its internal state

Pitfalls to Avoid

  • Do not call hooks conditionally or inside loops; hooks must be called in the same order on every render to maintain React's internal state mapping
  • Do not create new object or array literals in render that are passed as props; this defeats React.memo because references change every render
  • Do not use useEffect for derived state; compute derived values during render or use useMemo instead of syncing state in an effect
  • Do not suppress ESLint exhaustive-deps warnings; missing dependencies cause stale closures that lead to subtle bugs

Frequently asked questions

What does the React Expert AI skill do?

React expert for hooks, state management, Server Components, and performance optimization

Why use React Expert on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/react-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use React Expert?

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 Expert?

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

Is the React Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI 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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