react-advanced-performance

A set of React rules for reducing unnecessary work while a web interface updates. React is a JavaScript library for building user interfaces; the rules cover memoization, cached calculations, stable callbacks, list virtualization, and code splitting.

In plain words
What is it for?
Choosing where to use React.memo, useMemo, and useCallback, displaying large lists efficiently with react-window, and splitting code into smaller loaded pieces.
Why use it?
It addresses slow rendering caused by repeated component updates, expensive calculations, large lists, or loading too much code at once.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/wangqiqi/cursor-ai-rules/react-advanced-performance
Clone the repo
git clone --depth 1 https://github.com/wangqiqi/cursor-ai-rules

Made for: Cursor.

Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 638 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00638
Opus 5 $0.00000 $0.00319
Sonnet 5 $0.00000 $0.00128
Haiku 4.5 $0.00000 $0.00064

Measured 2d ago against content hash 9ebce2c5a7f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

react-advanced-performance scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/tech/react-advanced-performance.mdc · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React 性能优化 (Performance)

本规则由 @react-advanced 引用

React.memo 和 useMemo

const TodoItem = memo(({ todo, onToggle, onDelete }) => (
  <div className={`todo-item ${todo.completed ? 'completed' : ''}`}>
    <input type="checkbox" checked={todo.completed} onChange={() => onToggle(todo.id)} />
    <span>{todo.title}</span>
    <button onClick={() => onDelete(todo.id)}>删除</button>
  </div>
))

const TodoList = ({ todos, onToggle, onDelete }) => {
  const filteredTodos = useMemo(() => todos.filter(t => !t.completed), [todos])
  const handleToggle = useCallback((id) => onToggle(id), [onToggle])
  const handleDelete = useCallback((id) => onDelete(id), [onDelete])

  return (
    <ul>
      {filteredTodos.map(todo => (
        <TodoItem key={todo.id} todo={todo} onToggle={handleToggle} onDelete={handleDelete} />
      ))}
    </ul>
  )
}

虚拟化列表

import { FixedSizeList as List } from 'react-window'

const VirtualizedTodoList = ({ todos, onToggle, onDelete }) => {
  const Row = ({ index, style }) => (
    <div style={style}>
      <TodoItem todo={todos[index]} onToggle={onToggle} onDelete={onDelete} />
    </div>
  )
  return (
    <List height={400} itemCount={todos.length} itemSize={50} width="100%">
      {Row}
    </List>
  )
}

代码分割和懒加载

import { Suspense, lazy } from 'react'

const Home = lazy(() => import('./pages/Home'))
const About = lazy(() => import('./pages/About'))

function App() {
  return (
    <Suspense fallback={<div>加载中...</div>}>
      <Routes>
        <Route path="/" element={<Home />} />
        <Route path="/about" element={<About />} />
      </Routes>
    </Suspense>
  )
}

状态管理优化 (Zustand 选择器)

const useFilteredTodos = () => useStore(state => state.filteredTodos())
const useTodoActions = () => useStore(state => ({
  addTodo: state.addTodo,
  toggleTodo: state.toggleTodo
}), shallow)

原则

  • NEVER 在 render 中创建新函数(用 useCallback)
  • MUST 对列表项使用 memo
  • MUST 对昂贵计算使用 useMemo

引用: @react-advanced

Read the full file on GitHub · 96 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 96 lines · 0 tokens per session scan A 9ebce2c5a7f0

Subscribe to this mod's changes

react-advanced-performance is a cursor rule published in the GitHub repository wangqiqi/cursor-ai-rules (15 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 638 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.