performance-profiling

Automate Lighthouse-based performance profiling to identify web application bottlenecks.

132|22|Updated Dec 18, 2025

Search Tags:#CI/CD #frontend #lighthouse #web-performance #profile

Ready to run

npx skills add https://github.com/xenitV1/Antigravity-Workflows --skill performance-profiling-xenitv1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/xenitV1/Antigravity-Workflows/tree/main/skills/performance-profiling
Command: npx skills add https://github.com/xenitV1/Antigravity-Workflows --skill performance-profiling-xenitv1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill standardizes and automates performance profiling to identify bottlenecks in web apps.

Core Features & Use Cases

Baseline & Bottleneck Identification: Measure current state and locate bottlenecks across frontend and backend workloads.
Profiling Toolkit: Recommends tools (Lighthouse, DevTools, bundle analyzers) and a standardized workflow for performance improvements.
Use Case: When optimizing a web app, run baseline measurements, identify top offenders, implement fixes, and validate improvements.

Quick Start

Run the profiling workflow on a sample URL using the Lighthouse-based script: python scripts/lighthouse_audit.py https://example.com

Frequently Asked Questions about performance-profiling

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

FAQPage Schema

How do I measure Core Web Vitals and identify performance bottlenecks in my web app?▼

Core Web Vitals measure performance bottlenecks using Lighthouse-based profiling. Run the standardized workflow with baseline measurements to locate frontend and backend offenders, then implement fixes and validate improvements against the baseline.

Can I automate performance profiling in my CI/CD pipeline?▼

Yes. This Skill standardizes and automates performance profiling for CI/CD pipelines using Lighthouse-based tooling and a Python script. Run deterministic audits automatically to catch regressions and track metrics across deployments.

What tools and workflow do I need to profile web application performance?▼

The profiling toolkit recommends Lighthouse, DevTools, and bundle analyzers within a standardized workflow. Execute the lighthouse_audit.py script in a Python environment to measure performance, analyze bottlenecks, and guide optimization decisions.

How do I get started with performance profiling on a live URL?▼

Run baseline measurements using the Lighthouse-based script: python scripts/lighthouse_audit.py https://example.com. This identifies current performance state and top bottlenecks to prioritize optimization efforts.

Does this approach work for both frontend and backend performance analysis?▼

Yes. The Skill applies to development, CI/CD pipelines, and production monitoring across frontend and backend workloads, identifying bottlenecks in both layers to guide targeted optimization.

What's the best way to validate that performance improvements actually work?▼

After implementing fixes, run profiling again using the same Lighthouse-based workflow and compare results against your baseline measurements. This deterministic approach confirms whether optimizations delivered measurable improvements.