Can it help reduce my application's bundle size?

Absolutely. It includes guidance on identifying heavy dependencies and implementing code splitting and tree shaking to minimize the JavaScript payload.

Does it support Core Web Vitals optimization?

Yes, it specifically targets LCP (Largest Contentful Paint), FID (First Input Delay), and CLS (Cumulative Layout Shift) with actionable optimization strategies.

What is the recommended workflow for performance optimization?

The skill follows a 'Measure First' approach: measure the current state with DevTools, identify bottlenecks, prioritize by impact, implement one change at a time, and then remeasure.

How does this skill help with React performance?

The skill provides specific implementation patterns and guidance for using React.memo, useMemo, and useCallback to eliminate redundant re-renders and optimize component lifecycle performance.

Frontend Performance Optimizer

Name: Frontend Performance Optimizer
Author: thkt

bythkt

•

Analíticas y Monitorización

Optimizes frontend performance using a data-driven approach focused on Web Vitals and React efficiency.

Acerca de

This skill empowers Claude to identify and resolve performance bottlenecks in frontend applications through a rigorous measurement-first methodology. It provides specialized guidance for optimizing Core Web Vitals (LCP, FID, CLS), streamlining React component rendering via memoization, and reducing bundle sizes through code splitting and tree shaking. By integrating with Chrome DevTools and MDN references, it ensures that every optimization is backed by empirical data rather than guesswork, helping developers achieve faster load times and smoother user experiences.

Características Principales

React-specific rendering improvements using memo, useMemo, and useCallback
Systematic measurement and verification workflow for performance regression testing
Comprehensive Core Web Vitals optimization for LCP, FID, and CLS
3 GitHub stars
Bundle size reduction through effective code splitting and tree shaking
Data-driven bottleneck identification using Lighthouse and Chrome DevTools

Casos de Uso

Optimizing large JavaScript bundles to improve Time to Interactive (TTI)
Diagnosing and fixing slow page loads or low Lighthouse performance scores
Reducing unnecessary re-renders in complex React component trees

Acerca de

Características Principales

React-specific rendering improvements using memo, useMemo, and useCallback
Systematic measurement and verification workflow for performance regression testing
Comprehensive Core Web Vitals optimization for LCP, FID, and CLS
3 GitHub stars
Bundle size reduction through effective code splitting and tree shaking
Data-driven bottleneck identification using Lighthouse and Chrome DevTools

Casos de Uso

Optimizing large JavaScript bundles to improve Time to Interactive (TTI)
Diagnosing and fixing slow page loads or low Lighthouse performance scores
Reducing unnecessary re-renders in complex React component trees