Performance And Web Vitals logo

Performance And Web Vitals

Organization
dembrandt
performance-and-web-vitals

Lighthouse audits and Core Web Vitals — LCP, CLS, INP. Use when optimising page load, layout shift, input delay, images, fonts or render-blocking resources.

Overview

Publisherdembrandt
Repositorydembrandt-skills
Skill nameperformance-and-web-vitals
Stars
169
Forks
21
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dembrandt on GitHub. Read the source before you install it.

Installation

Install the Performance And Web Vitals AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dembrandt/dembrandt-skills/tree/main/skills/performance-and-web-vitals
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dembrandt/dembrandt-skills.git /tmp/dembrandt-skills
mkdir -p .claude/skills
cp -r /tmp/dembrandt-skills/skills/performance-and-web-vitals .claude/skills/performance-and-web-vitals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Performance And Web Vitals in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Performance And Web Vitals on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Performance And Web Vitals is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Performance and Web Vitals

Run a Lighthouse Audit

bash
# CLI audit — outputs JSON and HTML report
npx lighthouse https://example.com --output html --output-path ./lighthouse-report.html

# Headless, useful in CI
npx lighthouse https://example.com --chrome-flags="--headless" --output json --output-path ./report.json

# Audit specific categories only
npx lighthouse https://example.com --only-categories=performance,accessibility,seo

Or open Chrome DevTools → Lighthouse tab → Analyse page load.

Target scores:

CategoryTarget
Performance≥ 90
Accessibility100
Best Practices≥ 95
SEO≥ 95

Core Web Vitals

LCP — Largest Contentful Paint

How fast does the main content appear?

Target: ≤ 2.5s

LCP measures when the largest visible element (hero image, heading, video poster) renders. It is the user's perception of "did the page load?"

Common causes and fixes:

CauseFix
Unoptimised hero imageUse WebP/AVIF, correct size, fetchpriority="high"
Image not preloaded<link rel="preload" as="image" href="hero.webp">
Render-blocking CSS/JSDefer non-critical JS, inline critical CSS
Slow server responseCDN, caching headers, edge delivery
Web font blocking renderfont-display: swap or optional
html
<!-- Preload LCP image -->
<link rel="preload" as="image" href="hero.webp" fetchpriority="high">

<!-- LCP image: no lazy loading -->
<img src="hero.webp" alt="..." fetchpriority="high" width="1200" height="600">

Never use loading="lazy" on the LCP image — it delays the most important render.


CLS — Cumulative Layout Shift

Does content jump around while loading?

Target: ≤ 0.1

CLS measures unexpected layout shifts — content moving after it has rendered. Caused by images without dimensions, late-loading ads, fonts swapping, or dynamic content injected above existing content.

Common causes and fixes:

CauseFix
Images without width/heightAlways set width and height on <img>
Web font swapUse font-display: optional or preload fonts
Dynamic content above foldReserve space with min-height on containers
Late-loading ads or embedsReserve fixed dimensions for ad slots
Animations that shift layoutAnimate transform only, never top/left/width/height
html
<!-- Always include dimensions -->
<img src="product.jpg" width="400" height="300" alt="...">
css
/* Reserve space for dynamic content */
.ad-slot { min-height: 250px; }

/* Animate transform, not layout properties */
.slide-in { transform: translateY(0); transition: transform 300ms; }

INP — Interaction to Next Paint

How quickly does the page respond to user input?

Target: ≤ 200ms

INP measures the delay between a user interaction (click, tap, keyboard) and the next visual update. High INP makes the UI feel sluggish or frozen.

Common causes and fixes:

CauseFix
Heavy JS on main threadBreak into smaller tasks, use requestIdleCallback
Large event handlersDebounce/throttle scroll and resize handlers
Synchronous DOM updatesBatch DOM writes with requestAnimationFrame
Third-party scripts blockingLoad third-party scripts with async or defer
React re-rendersMemoize with useMemo, useCallback, React.memo

Images

Images are the single biggest performance lever on most pages.

html
<!-- Modern formats with fallback -->
<picture>
  <source srcset="image.avif" type="image/avif">
  <source srcset="image.webp" type="image/webp">
  <img src="image.jpg" width="800" height="600" alt="..." loading="lazy">
</picture>

<!-- Responsive images -->
<img
  srcset="image-400.webp 400w, image-800.webp 800w, image-1200.webp 1200w"
  sizes="(max-width: 600px) 100vw, 50vw"
  src="image-800.webp"
  alt="..."
  width="800"
  height="600"
  loading="lazy"
>

Rules:

  • Always set width and height — prevents CLS
  • Use loading="lazy" below the fold, never on LCP image
  • Serve WebP or AVIF — typically 30–50% smaller than JPEG
  • Size images to their display size — do not serve 2000px image for a 400px slot
  • Use a CDN with automatic format conversion where possible

Fonts

Web fonts block rendering if not handled correctly.

html
<!-- Preconnect to font origin -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

<!-- Preload critical font file -->
<link rel="preload" href="/fonts/brand.woff2" as="font" type="font/woff2" crossorigin>
css
@font-face {
  font-family: 'Brand';
  src: url('/fonts/brand.woff2') format('woff2');
  font-display: swap;     /* show fallback immediately, swap when loaded */
  /* font-display: optional; — never swap, use fallback if not cached */
}
  • font-display: swap — good for headings, acceptable CLS
  • font-display: optional — zero CLS, font only used if cached (best for body text)
  • Subset fonts to the characters actually used — reduces file size by 60–80%

JavaScript

html
<!-- Defer non-critical scripts -->
<script src="analytics.js" defer></script>
<script src="chat-widget.js" async></script>

<!-- Module scripts are deferred by default -->
<script type="module" src="app.js"></script>
  • defer: executes after HTML parsed, in order — use for most scripts
  • async: executes as soon as downloaded, out of order — use for independent scripts (analytics)
  • Never block the main thread with synchronous <script> in <head>

Lighthouse CI (automated audits)

Run Lighthouse in CI to catch regressions before deployment.

bash
# Install
npm install -g @lhci/cli

# Run
lhci autorun --upload.target=temporary-public-storage
yaml
# .lighthouserc.json
{
  "ci": {
    "assert": {
      "assertions": {
        "categories:performance": ["warn", { "minScore": 0.9 }],
        "categories:accessibility": ["error", { "minScore": 1.0 }],
        "categories:seo": ["warn", { "minScore": 0.95 }]
      }
    }
  }
}

Review Checklist

  • Lighthouse performance score ≥ 90
  • Lighthouse accessibility score = 100
  • LCP ≤ 2.5s — LCP image preloaded, no loading="lazy" on it
  • CLS ≤ 0.1 — all images have width and height, no layout-shifting animations
  • INP ≤ 200ms — no heavy synchronous JS on main thread
  • Images served as WebP or AVIF with correct dimensions
  • loading="lazy" on all below-fold images
  • Web fonts use font-display: swap or optional
  • Non-critical JS loaded with defer or async
  • Lighthouse CI configured to catch regressions in deployment pipeline

Frequently asked questions

What does the Performance And Web Vitals AI skill do?

Lighthouse audits and Core Web Vitals — LCP, CLS, INP. Use when optimising page load, layout shift, input delay, images, fonts or render-blocking resources.

Why use Performance And Web Vitals on TypingMind?

Because you install it once and use it with any model. Performance And Web Vitals is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Performance And Web Vitals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dembrandt/dembrandt-skills/tree/main/skills/performance-and-web-vitals. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Performance And Web Vitals?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Performance And Web Vitals?

As many as you like. As long as a model supports skills, you can use Performance And Web Vitals with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Performance And Web Vitals AI skill free?

Yes. It is published on GitHub by dembrandt under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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