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React Component Performance

  • 15 installs
  • 30.1k repo stars
  • Updated August 4, 2026
  • davila7/claude-code-templates

Diagnoses slow React components and applies targeted fixes to reduce re-renders and expensive render work without changing UI behavior.

About

Identifies React render hotspots, isolates expensive updates, and applies memoization and prop stabilization. A developer uses it to profile and speed up slow React components.

  • Isolates fast-changing state from heavy subtrees
  • Validates with React DevTools Profiler flamegraph

React Component Performance by the numbers

  • 15 all-time installs (skills.sh)
  • Ranked #1,610 of 2,245 Frontend Development skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/davila7/claude-code-templates --skill react-component-performance

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Listed on Skillselion
Installs15
repo stars30.1k
Last updatedAugust 4, 2026
Repositorydavila7/claude-code-templates

What it does

Diagnoses slow React components and applies targeted fixes to reduce re-renders and expensive render work without changing UI behavior.

Files

SKILL.mdMarkdownGitHub ↗

React Component Performance

Overview

Identify render hotspots, isolate expensive updates, and apply targeted optimizations without changing UI behavior.

When to Use

  • When the user asks to profile or improve a slow React component.
  • When you need to reduce re-renders, list lag, or expensive render work in React UI.

Workflow

1. Reproduce or describe the slowdown. 2. Identify what triggers re-renders (state updates, props churn, effects). 3. Isolate fast-changing state from heavy subtrees. 4. Stabilize props and handlers; memoize where it pays off. 5. Reduce expensive work (computation, DOM size, list length). 6. Validate: open React DevTools Profiler → record the interaction → inspect the Flamegraph for components rendering longer than ~16 ms → compare against a pre-optimization baseline recording.

Checklist

  • Measure: use React DevTools Profiler or log renders; capture baseline.
  • Find churn: identify state updated on a timer, scroll, input, or animation.
  • Split: move ticking state into a child; keep heavy lists static.
  • Memoize: wrap leaf rows with memo only when props are stable.
  • Stabilize props: use useCallback/useMemo for handlers and derived values.
  • Avoid derived work in render: precompute, or compute inside memoized helpers.
  • Control list size: window/virtualize long lists; avoid rendering hidden items.
  • Keys: ensure stable keys; avoid index when order can change.
  • Effects: verify dependency arrays; avoid effects that re-run on every render.
  • Style/layout: watch for expensive layout thrash or large Markdown/diff renders.

Optimization Patterns

Isolate ticking state

Move a timer or animation counter into a child so the parent list never re-renders on each tick.

// ❌ Before – entire parent (and list) re-renders every second
function Dashboard({ items }: { items: Item[] }) {
  const [tick, setTick] = useState(0);
  useEffect(() => {
    const id = setInterval(() => setTick(t => t + 1), 1000);
    return () => clearInterval(id);
  }, []);
  return (
    <>
      <Clock tick={tick} />
      <ExpensiveList items={items} /> {/* re-renders every second */}
    </>
  );
}

// ✅ After – only <Clock> re-renders; list is untouched
function Clock() {
  const [tick, setTick] = useState(0);
  useEffect(() => {
    const id = setInterval(() => setTick(t => t + 1), 1000);
    return () => clearInterval(id);
  }, []);
  return <span>{tick}s</span>;
}

function Dashboard({ items }: { items: Item[] }) {
  return (
    <>
      <Clock />
      <ExpensiveList items={items} />
    </>
  );
}

Stabilize callbacks with useCallback + memo

// ❌ Before – new handler reference on every render busts Row memo
function List({ items }: { items: Item[] }) {
  const handleClick = (id: string) => console.log(id); // new ref each render
  return items.map(item => <Row key={item.id} item={item} onClick={handleClick} />);
}

// ✅ After – stable handler; Row only re-renders when its own item changes
const Row = memo(({ item, onClick }: RowProps) => (
  <li onClick={() => onClick(item.id)}>{item.name}</li>
));

function List({ items }: { items: Item[] }) {
  const handleClick = useCallback((id: string) => console.log(id), []);
  return items.map(item => <Row key={item.id} item={item} onClick={handleClick} />);
}

Prefer derived data outside render

// ❌ Before – recomputes on every render
function Summary({ orders }: { orders: Order[] }) {
  const total = orders.reduce((sum, o) => sum + o.amount, 0); // runs every render
  return <p>Total: {total}</p>;
}

// ✅ After – recomputes only when orders changes
function Summary({ orders }: { orders: Order[] }) {
  const total = useMemo(() => orders.reduce((sum, o) => sum + o.amount, 0), [orders]);
  return <p>Total: {total}</p>;
}

Additional patterns

  • Split rows: extract list rows into memoized components with narrow props.
  • Defer heavy rendering: lazy-render or collapse expensive content until expanded.

Profiling Validation Steps

1. Open React DevTools → Profiler tab. 2. Click Record, perform the slow interaction, then Stop. 3. Switch to Flamegraph view; any bar labeled with a component and time > ~16 ms is a candidate. 4. Use Ranked chart to sort by self render time and target the top offenders. 5. Apply one optimization at a time, re-record, and compare render counts and durations against the baseline.

Example Reference

Load references/examples.md when the user wants a concrete refactor example.

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