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performance-profiling

Run Lighthouse audits and collect runtime metrics via Python script.

Updated Jan 21, 2026
Search Tags:#performance#monitoring#profiling#lighthouse#devtools#web
One-click install
npx skills add https://github.com/ollieb89/orchestrator --skill performance-profiling-ollieb89
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/ollieb89/orchestrator/tree/main/.cursor/skills/performance-profiling
Command: npx skills add https://github.com/ollieb89/orchestrator --skill performance-profiling-ollieb89

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Performance profiling principles: measurement, analysis, and optimization techniques to improve software speed, responsiveness, and reliability.

Core Features & Use Cases

  • Runtime scripts support automated profiling tasks (e.g., lighthouse audits) to surface performance metrics.
  • Profiling workflow coverage: baseline measurement, bottleneck identification, targeted fixes, and validation.
  • Supports web performance metrics like LCP, INP, and CLS, plus memory and runtime analysis.
  • Use case: continuously monitor and optimize a web application's load and interactivity.

Quick Start

Run the lighthouse_audit.py script against a target URL to generate a performance audit.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I identify web performance bottlenecks across page loading and interactions?▼

Run a Lighthouse audit against a target URL using the provided Python script to generate a performance audit. This action surfaces critical web performance metrics like LCP, INP, and CLS to establish a performance baseline for your application.

What's the best way to automate Lighthouse audits for continuous web performance monitoring?▼

Collect web performance metrics like LCP, INP, and CLS alongside memory and runtime analysis to measure software speed, responsiveness, and reliability. This profiling workflow covers baseline measurement, bottleneck identification, targeted fixes, and validation.

Does this performance profiling workflow support measuring Core Web Vitals in production environments?▼

Apply profiling methods to development, staging, and production environments to measure page interactions, resource loading, and runtime metrics. This ensures comprehensive performance analysis across the entire software development lifecycle and deployment pipeline.

How do I use DevTools profiling to find memory leaks and runtime issues in a web application?▼

Use DevTools profiling to capture memory and runtime analysis data, identifying bottlenecks in resource loading and page interactions. This measurement technique isolates specific memory leaks and runtime issues affecting software speed and responsiveness.

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