Can this skill help with large datasets?

Yes, it includes implementation guides for virtualization, allowing your app to render thousands of items efficiently by only processing those currently visible.

How does the react-performance skill help with re-renders?

It provides specific patterns for using React.memo and stable object references to ensure components only update when their data actually changes.

Does it support modern React features?

Absolutely. It focuses on functional components, Hooks (useMemo, useCallback), and the latest Suspense-based lazy loading patterns.

Is this skill useful for React Native?

While the examples are web-focused, the core concepts of memoization and state optimization apply directly to React Native performance as well.

React Performance Expert

Name: React Performance Expert
Author: fusengine

byfusengine

设计工具

Optimizes React applications using memoization, lazy loading, virtualization, and efficient state management patterns.

关于

This skill provides Claude with specialized knowledge to identify and resolve performance bottlenecks within React applications. It covers a comprehensive range of optimization techniques, from basic memoization with React.memo and hooks like useMemo and useCallback to advanced strategies like list virtualization and route-based lazy loading. By applying these patterns, developers can significantly reduce unnecessary re-renders, decrease bundle sizes, and ensure a smooth, responsive user interface even when handling complex state or large datasets.

主要功能

Configures lazy loading for components and routes to optimize bundle size
Implements memoization using React.memo, useMemo, and useCallback
Provides patterns for list virtualization using TanStack Virtual
0 GitHub stars
Includes a profiling checklist for React DevTools and performance auditing
Optimizes state colocation and derived state to prevent tree-wide re-renders

使用场景

Refactoring legacy React components to follow modern performance best practices
Eliminating lag in complex forms or data-heavy dashboards
Improving Core Web Vitals through code-splitting and efficient loading

关于

主要功能

Configures lazy loading for components and routes to optimize bundle size
Implements memoization using React.memo, useMemo, and useCallback
Provides patterns for list virtualization using TanStack Virtual
0 GitHub stars
Includes a profiling checklist for React DevTools and performance auditing
Optimizes state colocation and derived state to prevent tree-wide re-renders

使用场景

Refactoring legacy React components to follow modern performance best practices
Eliminating lag in complex forms or data-heavy dashboards
Improving Core Web Vitals through code-splitting and efficient loading