How does this skill help improve Core Web Vitals?

It provides implementation patterns to reduce JavaScript payload sizes and monitor Long Tasks, which directly improves Largest Contentful Paint (LCP) and Interaction to Next Paint (INP).

What runtime metrics can I track with this skill?

The skill includes code snippets for tracking resource load timing, long-running tasks on the main thread, and the success/duration of dynamic imports.

Can I use this with Vite and Next.js?

Yes, the skill includes specific configurations for Vite's rollup-plugin-visualizer and the Next.js bundle analyzer.

Does it support automated performance monitoring?

Absolutely. It provides guidance on integrating tools like Size Limit and bundlewatch into your CI/CD pipeline to catch regressions early.

Bundle Performance Optimizer

Name: Bundle Performance Optimizer
Author: nexus-labs-automation

bynexus-labs-automation

Analytics & Monitoring

Monitors and optimizes JavaScript bundle sizes and execution performance to improve web application speed and Core Web Vitals.

About

This skill provides comprehensive guidance for managing JavaScript bundle efficiency throughout the development lifecycle. It enables Claude to help you implement build-time analysis for Vite and Webpack, establish performance budgets, and integrate bundle-size monitoring into CI/CD pipelines. By leveraging runtime APIs like Resource Timing and Long Tasks, the skill helps identify performance bottlenecks, optimize code-splitting strategies, and minimize the impact of third-party scripts on user experience metrics like Interaction to Next Paint (INP) and Largest Contentful Paint (LCP).

Key Features

Dynamic import tracking for optimized lazy-loading
Runtime performance monitoring using Resource Timing and Long Tasks APIs
Build-time analysis configurations for Vite and Webpack/Next.js
Third-party script impact analysis and optimization strategies
Automated performance budget setup and CI/CD integration patterns
0 GitHub stars

Use Cases

Identifying and refactoring oversized JavaScript chunks to improve initial load times
Debugging main-thread blockages by tracking and attributing Long Tasks at runtime
Configuring automated bundle size gatekeeping in CI/CD workflows using Size Limit

About

Key Features

Dynamic import tracking for optimized lazy-loading
Runtime performance monitoring using Resource Timing and Long Tasks APIs
Build-time analysis configurations for Vite and Webpack/Next.js
Third-party script impact analysis and optimization strategies
Automated performance budget setup and CI/CD integration patterns
0 GitHub stars

Use Cases

Identifying and refactoring oversized JavaScript chunks to improve initial load times
Debugging main-thread blockages by tracking and attributing Long Tasks at runtime
Configuring automated bundle size gatekeeping in CI/CD workflows using Size Limit