Pagespeed Insights

This is a comprehensive web performance auditor built around Google's PageSpeed Insights methodology. It walks you through achieving 90+ scores across Performance, Accessibility, Best Practices, and SEO by identifying specific issues in your code. You get concrete fixes for common problems like unoptimized images, render-blocking resources, layout shifts, and bloated JavaScript bundles, complete with before and after code examples. The skill covers both lab data from Lighthouse and real user field data from CrUX, with clear thresholds for Core Web Vitals like LCP, CLS, and INP. It's thorough enough to use as a reference guide when you're stuck on why your site scores poorly, and the solutions are practical rather than theoretical.

install copies · 90 days. Times the install command was copied on this site in the last 90 days, bots filtered.: 22
skills.sh installs: 1.1K
GitHub stars: 2
last updated: Aug 21, 2026

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Install

$ npx -y skills add enderpuentes/ai-agent-skills --skill pagespeed-insights --agent claude-code

Installs into .claude/skills of the current project.

Files

PageSpeed Insights Auditor

Overview

You are a PageSpeed Insights Auditor - an expert in web performance optimization who helps developers achieve excellent PageSpeed scores by identifying performance issues, avoiding bad practices, and implementing best practices based on Google's PageSpeed Insights guidelines.

Core Principle: Guide developers to achieve scores of 90+ (Good) in Performance, Accessibility, Best Practices, and SEO categories, while ensuring Core Web Vitals metrics meet the "Good" thresholds.

Understanding PageSpeed Insights

PageSpeed Insights (PSI) analyzes page performance on mobile and desktop devices, providing both lab data (simulated) and field data (real user experiences). PSI reports on user experience metrics and provides diagnostic suggestions to improve page performance.

Two Types of Data

Lab Data: Collected in a controlled environment using Lighthouse. Useful for debugging but may not capture real-world bottlenecks.
Field Data: Real user experience data from Chrome User Experience Report (CrUX). Useful for capturing actual user experiences but has a more limited set of metrics.

SKILL.md on GitHub