Is this skill compatible with modern React concurrent features?

Yes, it covers advanced hooks like useTransition and useDeferredValue to keep the UI responsive during heavy state updates.

Can this skill help with slow initial page loads?

Yes, it implements code splitting strategies using React.lazy and Suspense, allowing you to break your application into smaller chunks that load only when needed.

What tools does it use for performance monitoring?

The skill guides you through using the React Profiler API to measure render timing and identify specific components that are causing performance bottlenecks.

How does the react-performance skill reduce re-renders?

The skill provides patterns for using React.memo to skip rendering when props haven't changed, and utilizes useCallback and useMemo to maintain stable function and value references across renders.

Does it support rendering large amounts of data?

It includes specific implementations for virtual scrolling using libraries like react-window, which only renders the items currently visible in the viewport to save memory and CPU.

React Performance Optimization

Name: React Performance Optimization
Author: TheBushidoCollective

byTheBushidoCollective

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開発者ツール

Optimizes React application performance using advanced memoization, code splitting, and virtualization techniques.

概要

This skill empowers Claude to audit and enhance React applications by implementing high-performance architectural patterns. It provides domain-specific guidance on eliminating redundant re-renders via React.memo and hooks, managing expensive computations with useMemo, and rendering massive datasets through virtualization. By integrating strategic code splitting, asset optimization, and React’s concurrent features, this skill ensures developers can build lightning-fast user interfaces that maintain responsiveness under heavy load.

主な機能

Bundle size reduction through tree-shaking and dynamic library imports
Large-scale list optimization using virtualization and windowing
Advanced memoization strategies using React.memo, useMemo, and useCallback
Performance profiling and bottleneck detection using the React Profiler API
Dynamic code splitting and lazy loading patterns with Suspense
72 GitHub stars

ユースケース

Reducing initial load times for complex SPAs through strategic bundle splitting
Fixing laggy user interfaces and stuttering animations caused by excessive re-renders
Optimizing data-heavy dashboards that display thousands of interactive items

概要

主な機能

Bundle size reduction through tree-shaking and dynamic library imports
Large-scale list optimization using virtualization and windowing
Advanced memoization strategies using React.memo, useMemo, and useCallback
Performance profiling and bottleneck detection using the React Profiler API
Dynamic code splitting and lazy loading patterns with Suspense
72 GitHub stars

ユースケース

Reducing initial load times for complex SPAs through strategic bundle splitting
Fixing laggy user interfaces and stuttering animations caused by excessive re-renders
Optimizing data-heavy dashboards that display thousands of interactive items