pagespeed-insights

enderpuentes/ai-agent-skills · updated May 31, 2026

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$npx skills add https://github.com/enderpuentes/ai-agent-skills --skill pagespeed-insights
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summary

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.

skill.md

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

  1. Lab Data: Collected in a controlled environment using Lighthouse. Useful for debugging but may not capture real-world bottlenecks.
  2. 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.

Performance Score Thresholds

Lab Scores (Lighthouse)

Score Range Rating Icon
90-100 Good 🟢 Green circle
50-89 Needs Improvement 🟡 Amber square
0-49 Poor 🔴 Red triangle

Target: Always aim for scores of 90 or higher in all categories.

Core Web Vitals Thresholds

Core Web Vitals are the three most important metrics for web performance:

Metric Good Needs Improvement Poor
FCP (First Contentful Paint) [0, 1800 ms] [1800 ms, 3000 ms] > 3000 ms
LCP (Largest Contentful Paint) [0, 2500 ms] [2500 ms, 4000 ms] > 4000 ms
CLS (Cumulative Layout Shift) [0, 0.1] [0.1, 0.25] > 0.25
INP (Interaction to Next Paint) [0, 200 ms] [200 ms, 500 ms] > 500 ms
TTFB (Time to First Byte) [0, 800 ms] [800 ms, 1800 ms] > 1800 ms

Target: Ensure the 75th percentile of all Core Web Vitals metrics are in the "Good" range.

Key Performance Metrics

Lab Metrics (Lighthouse)

  1. First Contentful Paint (FCP): Time until first content is rendered
  2. Largest Contentful Paint (LCP): Time until largest content element is rendered
  3. Speed Index: How quickly content is visually displayed
  4. Cumulative Layout Shift (CLS): Visual stability measure
  5. Total Blocking Time (TBT): Sum of blocking time between FCP and TTI
  6. Time to Interactive (TTI): Time until page is fully interactive

Field Metrics (CrUX)

  • FCP: First Contentful Paint from real users
  • LCP: Largest Contentful Paint from real users
  • CLS: Cumulative Layout Shift from real users
  • INP: Interaction to Next Paint (replaces FID)
  • TTFB: Time to First Byte (experimental)

Common Performance Issues & Solutions

❌ Bad Practice: Unoptimized Images

Problem: Large images without compression, modern formats, or proper sizing.

Impact: Poor LCP scores, slow page loads.

✅ Solutions:

  • Use modern image formats (WebP, AVIF)
  • Implement responsive images with srcset
  • Compress images before uploading
  • Set explicit width/height to prevent CLS
  • Use lazy loading for below-the-fold images
<!-- Bad -->
<img src="large-image.jpg" alt="Description" />

<!-- Good -->
<img
  src="image.webp"
  srcset="image-small.webp 400w, image-medium.webp 800w, image-large.webp 1200w"
  sizes="(max-width: 600px) 400px, (max-width: 1200px) 800px, 1200px"
  width="1200"
  height="800"
  alt="Description"
  loading="lazy"
/>

❌ Bad Practice: Render-Blocking Resources

Problem: CSS and JavaScript blocking initial render.

Impact: Poor FCP and LCP scores.

✅ Solutions:

  • Defer non-critical CSS
  • Inline critical CSS
  • Use async or defer for JavaScript
  • Remove unused CSS/JS
  • Split code and lazy load routes
<!-- Bad -->
<link rel="stylesheet" href="styles.css" />
<script src="app.js"></script>

<!-- Good -->
<link
  rel="stylesheet"
  href="styles.css"
  media="print"
  onload="this.media='all'"
/>
<link rel="preload" href="critical.css" as="style" />
<script src="app.js" defer></script>

❌ Bad Practice: Missing Resource Hints

Problem: Not preconnecting to important origins or prefetching critical resources.

Impact: Slow TTFB and LCP.

✅ Solutions:

  • Use rel="preconnect" for third-party origins
  • Use rel="dns-prefetch" for DNS resolution
  • Use rel="preload" for critical resources
  • Use rel="prefetch" for likely next-page resources
<!-- Good -->
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="dns-prefetch" href="https://api.example.com" />
<link rel="preload" href="hero-image.webp" as="image" />

❌ Bad Practice: Layout Shift (CLS)

Problem: Content shifting during page load.

Impact: Poor CLS scores, bad user experience.

✅ Solutions:

  • Set explicit dimensions for images and videos
  • Reserve space for ads and embeds
  • Avoid inserting content above existing content
  • Use CSS aspect-ratio for responsive containers
  • Prefer transform animations over layout-triggering properties
/* Bad */
.image-container {
  width: 100%;
  /* height not set - causes CLS */
}

/* Good */
.image-container {
  width: 100%;
  aspect-ratio: 16 / 9;
  /* or */
  height: 0;
  padding-bottom: 56.25%; /* 16:9 ratio */
}

❌ Bad Practice: Large JavaScript Bundles

Problem: Loading unnecessary JavaScript code.

Impact: Poor TTI, high TBT.

✅ Solutions:

  • Code splitting and lazy loading
  • Remove unused code (tree shaking)
  • Minimize and compress JavaScript
  • Use dynamic imports for routes
  • Avoid large third-party libraries when possible
// Bad - loading everything upfront
import { heavyLibrary } from "./heavy-library";

// Good - lazy load when needed
const loadHeavyLibrary = () => import("./heavy-library");

❌ Bad Practice: Inefficient Font Loading

Problem: Fonts causing FOIT (Flash of Invisible Text) or FOUT (Flash of Unstyled Text).

Impact: Poor FCP, layout shifts.

✅ Solutions:

  • Use font-display: swap or optional
  • Preload critical fonts
  • Subset fonts to include only needed characters
  • Use system fonts when possible
/* Good */
@font-face {
  font-family: "CustomFont";
  src: url("font.woff2") format("woff2");
  font-display: swap; /* or optional */
}

❌ Bad Practice: No Caching Strategy

Problem: Resources not cached, causing repeated downloads.

Impact: Slow repeat visits, poor performance.

✅ Solutions:

  • Set appropriate Cache-Control headers
  • Use service workers for offline caching
  • Implement HTTP/2 server push for critical resources
  • Use CDN for static assets
Cache-Control: public, max-age=31536000, immutable

❌ Bad Practice: Third-Party Scripts Blocking Render

Problem: Analytics, ads, or widgets blocking page load.

Impact: Poor TTI, high TBT.

✅ Solutions:

  • Load third-party scripts asynchronously
  • Defer non-critical third-party code
  • Use rel="noopener" for external links
  • Consider self-hosting analytics when possible
<!-- Good -->
<script async src="https://www.google-analytics.com/analytics.js"></script>

Accessibility Best Practices

❌ Bad Practice: Missing Alt Text

Problem: Images without descriptive alt attributes.

Impact: Poor accessibility score.

✅ Solution: Always provide meaningful alt text.

<!-- Bad -->
how to use pagespeed-insights

How to use pagespeed-insights on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add pagespeed-insights
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/enderpuentes/ai-agent-skills --skill pagespeed-insights

The skills CLI fetches pagespeed-insights from GitHub repository enderpuentes/ai-agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/pagespeed-insights

Reload or restart Cursor to activate pagespeed-insights. Access the skill through slash commands (e.g., /pagespeed-insights) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.668 reviews
  • Fatima Bhatia· Dec 28, 2024

    We added pagespeed-insights from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Layla Agarwal· Dec 24, 2024

    pagespeed-insights reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Layla Abebe· Dec 20, 2024

    pagespeed-insights is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Diego Gupta· Dec 20, 2024

    Solid pick for teams standardizing on skills: pagespeed-insights is focused, and the summary matches what you get after install.

  • Fatima Desai· Dec 16, 2024

    Registry listing for pagespeed-insights matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 12, 2024

    pagespeed-insights has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yuki Chen· Nov 23, 2024

    Useful defaults in pagespeed-insights — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 19, 2024

    Useful defaults in pagespeed-insights — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Fatima Reddy· Nov 19, 2024

    pagespeed-insights fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Layla Okafor· Nov 15, 2024

    pagespeed-insights has been reliable in day-to-day use. Documentation quality is above average for community skills.

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