performance-optimizer

Optimize React applications with code splitting, memoization, and bundle analysis.

Updated Aug 23, 2026

Search Tags:#performance #react #lighthouse #memoization #code-splitting #web-vitals #bundle-analysis

Ready to run

npx skills add https://github.com/deve1993/Quickfy-website --skill performance-optimizer-deve1993

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-optimizer
Source: https://github.com/deve1993/Quickfy-website/tree/main/.claude/skills-main/skills-main/new_skills/performance-optimizer
Command: npx skills add https://github.com/deve1993/Quickfy-website --skill performance-optimizer-deve1993

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers deliver faster, more responsive React apps by reducing bundle sizes, preventing unnecessary renders, and profiling runtime performance.

Core Features & Use Cases

Code Splitting: Route-based and component-level splitting using React.lazy() and dynamic import().
Bundle & Performance: Bundle analysis, tree-shaking, memoization, and runtime profiling to improve Core Web Vitals.
Core Web Vitals & Audits: Target LCP, FID, CLS; run Lighthouse audits and profile renders.
Use Case: Optimize a large dashboard by splitting heavy routes and memoizing expensive components.

Quick Start

Run a starter profiling session on your React project, enable code-splitting with dynamic imports, apply React.memo and useMemo where needed, then re-run bundle analysis to compare size and performance.

Frequently Asked Questions about performance-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reduce React bundle size with code splitting?▼

Code splitting breaks your React app into smaller chunks loaded on demand using React.lazy() and dynamic imports. Route-based splitting loads different routes separately, while component-level splitting defers heavy components until needed, reducing initial bundle size and improving load time.

What's the best way to improve Core Web Vitals in React applications?▼

Improve Core Web Vitals by combining code splitting to reduce initial load, memoization to prevent unnecessary renders, bundle analysis to identify bloat, and runtime profiling to catch performance bottlenecks. Together these target LCP, FID, and CLS metrics measured by Lighthouse audits.

When should I use React.memo and useMemo for performance optimization?▼

Apply React.memo to components that render frequently with unchanged props, and useMemo to expensive calculations or derived data. These prevent unnecessary re-renders and re-computations, working alongside code splitting to optimize runtime performance in large applications.

How do I analyze and compare React bundle sizes before and after optimization?▼

Bundle analysis tools inspect your compiled code to identify large dependencies and unused code. After applying code splitting and tree-shaking optimizations, re-run analysis to measure size reduction and confirm Web Vitals improvements against baseline metrics.

Can I use code splitting with dynamic imports on all React routes?▼

Yes, route-based code splitting with dynamic imports works across all routes in React applications. Pair it with bundle analysis and minification to maximize size reduction and enable long-term caching strategies for production performance.