perf-astro

tech-leads-club/agent-skills · updated May 23, 2026

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$npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-astro
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summary

'Astro-specific performance optimizations for 95+ Lighthouse scores. Covers critical CSS inlining, compression, font loading, and LCP optimization. Use when optimizing Astro site performance, improving Astro Lighthouse scores, or configuring astro-critters. Do NOT use for non-Astro sites (use perf-web-optimization or core-web-vitals) or running Lighthouse audits (use perf-lighthouse).'

skill.md
name
perf-astro
description
'Astro-specific performance optimizations for 95+ Lighthouse scores. Covers critical CSS inlining, compression, font loading, and LCP optimization. Use when optimizing Astro site performance, improving Astro Lighthouse scores, or configuring astro-critters. Do NOT use for non-Astro sites (use perf-web-optimization or core-web-vitals) or running Lighthouse audits (use perf-lighthouse).'

Astro Performance Playbook

Astro-specific optimizations for 95+ Lighthouse scores.

Quick Setup

npm install astro-critters @playform/compress
// astro.config.mjs
import { defineConfig } from 'astro/config'
import critters from 'astro-critters'
import compress from '@playform/compress'

export default defineConfig({
  integrations: [
    critters(),
    compress({
      CSS: true,
      HTML: true,
      JavaScript: true,
      Image: false,
      SVG: false,
    }),
  ],
})

Integrations

astro-critters

Automatically extracts and inlines critical CSS. No configuration needed.

What it does:

  • Scans rendered HTML for above-the-fold elements
  • Inlines only the CSS those elements need
  • Lazy-loads the rest

Build output shows what it inlined:

Inlined 40.70 kB (80% of original 50.50 kB) of _astro/index.xxx.css.

@playform/compress

Minifies HTML, CSS, and JavaScript in the final build.

Options:

compress({
  CSS: true, // Minify CSS
  HTML: true, // Minify HTML
  JavaScript: true, // Minify JS
  Image: false, // Skip if using external image optimization
  SVG: false, // Skip if SVGs are already optimized
})

Layout Pattern

Structure your Layout.astro for performance:

---
import '../styles/global.css'
---

<!doctype html>
<html lang="pt-BR">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />

    <!-- Font fallback (prevents FOIT) -->
    <style>
      @font-face {
        font-family: 'Inter';
        font-display: swap;
        src: local('Inter');
      }
    </style>

    <!-- Non-blocking Google Fonts -->
    <link rel="preconnect" href="https://fonts.googleapis.com">
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
    <link
      rel="stylesheet"
      href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap"
      media="print"
      onload="this.media='all'"
    />
    <noscript>
      <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap">
    </noscript>

    <!-- Preload LCP images -->
    <link rel="preload" as="image" href="/hero.png" fetchpriority="high">

    <title>{title}</title>

    <!-- Defer third-party scripts -->
    <script>
      let loaded = false;
      function loadAnalytics() {
        if (loaded) return;
        loaded = true;
        // Load GTM, analytics, etc.
      }
      ['scroll', 'click', 'touchstart'].forEach(e => {
        document.addEventListener(e, loadAnalytics, { once: true, passive: true });
      });
      setTimeout(loadAnalytics, 5000);
    </script>
  </head>
  <body>
    <slot />
  </body>
</html>

Measuring

npx lighthouse https://your-site.com --preset=perf --form-factor=mobile

See also:

  • perf-lighthouse - Running audits, reading reports, setting budgets
  • perf-web-optimization - Core Web Vitals, bundle size, caching strategies

Checklist

  • astro-critters installed and configured
  • @playform/compress installed and configured
  • Google Fonts use media="print" onload pattern
  • Third-party scripts deferred to user interaction
  • LCP images preloaded in <head>
how to use perf-astro

How to use perf-astro 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 perf-astro
2

Execute installation command

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

$npx skills add https://github.com/tech-leads-club/agent-skills --skill perf-astro

The skills CLI fetches perf-astro from GitHub repository tech-leads-club/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/perf-astro

Reload or restart Cursor to activate perf-astro. Access the skill through slash commands (e.g., /perf-astro) 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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.764 reviews
  • Aditi Khanna· Dec 20, 2024

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

  • Ganesh Mohane· Dec 16, 2024

    I recommend perf-astro for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aditi Malhotra· Dec 8, 2024

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

  • Benjamin Tandon· Dec 8, 2024

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

  • Zaid Gupta· Nov 27, 2024

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

  • Benjamin Brown· Nov 27, 2024

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

  • Aanya Park· Nov 11, 2024

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

  • Aditi Taylor· Oct 18, 2024

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

  • Benjamin Wang· Oct 18, 2024

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

  • Mia Nasser· Oct 2, 2024

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

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