Can it suggest alternatives to heavy libraries?

It identifies common 'heavy' packages like Moment.js or Lodash and suggests lightweight, modern alternatives such as date-fns, dayjs, or native ESM imports.

Does it support CI/CD monitoring?

Yes, it includes templates for GitHub Actions to track bundle sizes on every pull request, allowing you to fail builds that exceed your defined performance budget.

Can it identify duplicate dependencies?

Yes, the skill provides specific commands and logic to scan your package manager for version mismatches and duplicate libraries that contribute to bundle bloat.

How does this skill help with Next.js performance?

It automates the setup of @next/bundle-analyzer and provides step-by-step guidance for implementing route-based code splitting and optimizing server-side vs. client-side assets.

Bundle Size Optimizer

Name: Bundle Size Optimizer
Author: sgcarstrends

bysgcarstrends

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Analytics & Monitoring

Analyzes and optimizes JavaScript bundle sizes to improve web application performance and load times.

About

The Bundle Analysis skill provides specialized workflows for identifying and reducing JavaScript bloat in modern web applications, specifically optimized for Next.js environments. It streamlines the process of configuring bundle analyzers, interpreting complex dependency reports, and implementing advanced optimization techniques like code splitting, tree shaking, and dependency replacement. By using this skill, developers can systematically hit performance budgets, improve Lighthouse scores, and ensure a fast, responsive user experience across all device types and network conditions.

Key Features

Guided implementation of dynamic imports and route-based code splitting
Automated Next.js bundle analyzer configuration and visual report generation
Optimization strategies for images, fonts, and third-party library footprints
12 GitHub stars
Identification of large dependencies and duplicate package versions
CI/CD integration templates for automated bundle size monitoring and regression testing

Use Cases

Reducing First Contentful Paint (FCP) and Time to Interactive (TTI) for large web applications
Auditing and replacing bloated legacy dependencies with modern, tree-shakable alternatives
Establishing automated performance budgets within development and deployment pipelines

About

Key Features

Guided implementation of dynamic imports and route-based code splitting
Automated Next.js bundle analyzer configuration and visual report generation
Optimization strategies for images, fonts, and third-party library footprints
12 GitHub stars
Identification of large dependencies and duplicate package versions
CI/CD integration templates for automated bundle size monitoring and regression testing

Use Cases

Reducing First Contentful Paint (FCP) and Time to Interactive (TTI) for large web applications
Auditing and replacing bloated legacy dependencies with modern, tree-shakable alternatives
Establishing automated performance budgets within development and deployment pipelines