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performance-profiling

Audit web application performance with Lighthouse and DevTools.

24|3|Updated Jan 30, 2026

Search Tags:#performance analysis #Lighthouse #performance profiling #DevTools #web optimization #JavaScript optimization

Ready to run

npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp --skill performance-profiling-vodailocz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/VoDaiLocz/kilo-kit-mcp/tree/main/skills/engineering/performance-profiling
Command: npx skills add https://github.com/VoDaiLocz/kilo-kit-mcp --skill performance-profiling-vodailocz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive framework for performance profiling, helping developers understand and improve the efficiency of their code.

Core Features & Use Cases

Performance Measurement: Offers tools to measure various performance metrics like load time, interactivity, and stability.
Analysis and Optimization: Guides users through identifying bottlenecks and applying optimization techniques.
Bundle Analysis: Helps analyze JavaScript bundles for large dependencies, duplicates, and unused code.
Runtime Profiling: Provides guidance on using various tools for runtime performance analysis, including Lighthouse, DevTools, and memory analysis.
Common Bottlenecks: Identifies common performance issues and suggests solutions.
Quick Wins: Prioritizes quick wins like compression, lazy loading, and code splitting.
Anti-Patterns: Helps avoid common pitfalls in performance optimization.

Quick Start

Perform a performance audit of your website with the performance-profiling skill by running lighthouse_audit.py https://yourwebsite.com.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema

How do I profile JavaScript runtime performance and identify bottlenecks in my web application?▼

Profiling JavaScript runtime performance requires analyzing execution metrics to identify bottlenecks. You can conduct comprehensive audits and profile runtime behavior using Lighthouse and DevTools to pinpoint memory issues and inefficient code paths.

What is the best way to analyze JavaScript bundles for large dependencies and unused code?▼

Analyzing JavaScript bundles involves inspecting the codebase to detect large dependencies, duplicate modules, and unused code. This process helps streamline web optimization by applying techniques like code splitting and lazy loading.

Does performance profiling with Lighthouse work for measuring web load time and interactivity?▼

Yes, performance profiling with Lighthouse measures various web metrics including load time, interactivity, and stability. It conducts comprehensive audits to provide actionable performance metrics and optimization strategies for your site.

How do I run a performance audit to find quick wins for web optimization?▼

To run a performance audit and find quick wins, execute a custom script like `lighthouse_audit.py` with your website URL. This identifies common bottlenecks and prioritizes solutions such as compression, lazy loading, and code splitting.

What common anti-patterns should I avoid during JavaScript optimization?▼

Common anti-patterns in JavaScript optimization include inefficient memory usage and unoptimized bundle delivery. Identifying these pitfalls alongside common bottlenecks helps developers apply effective performance profiling and avoid degrading runtime performance.