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performance-profiling

Run Lighthouse audits to analyze web app performance and core web vitals.

1|Updated Mar 14, 2026
Search Tags:#web development#performance optimization#web performance#performance profiling#Lighthouse audit
One-click install
npx skills add https://github.com/R2W1cs/Mustacademy --skill performance-profiling-r2w1cs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/R2W1cs/Mustacademy/tree/main/a/.agent/skills/performance-profiling
Command: npx skills add https://github.com/R2W1cs/Mustacademy --skill performance-profiling-r2w1cs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, lighthouse-cli, and includes scripts (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide for performance profiling of web applications, helping developers identify bottlenecks and optimize performance.

Core Features & Use Cases

  • Lighthouse Audit: Perform automated performance audits on websites.
  • Core Web Vitals: Measure and improve key performance metrics such as LCP, INP, and CLS.
  • Profiling Workflow: Step-by-step process for profiling, identifying bottlenecks, and validating improvements.
  • Bundle Analysis: Analyze and optimize JavaScript bundle size and structure.
  • Runtime Profiling: Evaluate runtime performance metrics such as long tasks, layout thrashing, and memory usage.
  • Quick Win Priorities: Prioritize optimizations for the biggest impact.
  • Anti-Patterns: Avoid common pitfalls in performance optimization.
  • **Quick Start Use the performance profiling skill to run a Lighthouse audit on your website using the 'lighthouse_audit.py' script located in the scripts directory.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I run a Lighthouse audit to measure core web vitals for my web application?▼

You can automate Lighthouse audits to analyze core web vitals by executing the provided 'lighthouse_audit.py' script, which measures metrics like LCP and CLS to identify performance bottlenecks in web applications.

What is the best way to analyze JavaScript bundle size and runtime performance?▼

Analyzing JavaScript bundle size and runtime performance involves a profiling workflow that evaluates long tasks, layout thrashing, and memory usage, allowing developers to pinpoint and resolve runtime performance bottlenecks effectively.

Do I need Python and lighthouse CLI to automate web performance profiling?▼

Yes, automating web performance profiling with this workflow requires both Python and the lighthouse CLI installed, as these dependencies are necessary to execute the audit scripts and generate the performance insights.

How does performance profiling identify quick wins for web development optimization?▼

Performance profiling identifies quick wins by prioritizing optimizations for the biggest impact, analyzing core web vitals and bundle size while helping developers avoid common anti-patterns and pitfalls in web performance optimization.

When should I use an automated profiling workflow instead of manual performance audits?▼

An automated profiling workflow should be used when you need to repeatedly measure runtime metrics, analyze bundle structure, and validate improvements systematically across web applications, providing detailed insights that manual audits might miss.

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