performance-profiling

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

132|22|Updated Dec 18, 2025
One-click install
npx skills add https://github.com/xenitV1/Antigravity-Workflows --skill performance-profiling-xenitv1
Or copy as Structured Prompt for Agent
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.