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/core-web-vitals

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Optimize Core Web Vitals (LCP, INP, CLS) for better page experience using field and lab evidence. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".

Use this Skill: https://skilld.dev/gh/addyosmani/web-quality-skills/core-web-vitals

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SKILL.md

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Core Web Vitals optimization

Targeted optimization for the three Core Web Vitals using field data to identify user impact and browser traces to diagnose causes.

Measure before optimizing

When a runnable URL is available, read the performance measurement workflow. Prefer this sequence:

  1. Check page-level CrUX p75 data, with a clearly labeled origin fallback when page data is unavailable.
  2. Record a browser performance trace under stated conditions. With Chrome DevTools MCP, trace summaries can include CrUX alongside the observed lab metrics.
  3. Analyze only the insights associated with the failing metric, then inspect the implicated code and resources.
  4. Re-run equivalent lab measurements after the fix. Do not claim an immediate field improvement; CrUX and first-party RUM need new user visits.

If only source code is available, identify likely causes but do not claim that LCP, INP, or CLS is failing without runtime evidence.

The three metrics

Metric Measures Good Needs work Poor
LCP Loading ≤ 2.5s 2.5s – 4s > 4s
INP Interactivity ≤ 200ms 200ms – 500ms > 500ms
CLS Visual Stability ≤ 0.1 0.1 – 0.25 > 0.25

Google measures at the 75th percentile — 75% of page visits must meet "Good" thresholds.


LCP: Largest Contentful Paint

LCP measures when the largest visible content element renders. Usually this is:

  • Hero image or video
  • Large text block
  • Background image
  • <svg> element

Common LCP issues

1. Slow server response (TTFB > 800ms)

Fix: CDN, caching, optimized backend, edge rendering

2. Render-blocking resources

<!-- ❌ Blocks rendering -->
<link rel="stylesheet" href="/all-styles.css">

<!-- ✅ Critical CSS inlined, rest deferred -->
<style>/* Critical above-fold CSS */</style>
<link rel="preload" href="/styles.css" as="style" 
      onload="this.onload=null;this.rel='stylesheet'">

3. Slow resource load times

<!-- ❌ LCP image is discovered only after a stylesheet loads -->
<div class="hero"></div>

<!-- ✅ Discoverable in initial HTML and prioritized -->
<link rel="preload" href="/hero.webp" as="image" fetchpriority="high">
<img src="/hero.webp" alt="Hero" fetchpriority="high">

Prefer a discoverable <img> with fetchpriority="high". Add the preload only when the trace shows that the resource would otherwise be discovered late; duplicate or speculative preloads can compete for bandwidth.

4. Client-side rendering delays

// ❌ Content loads after JavaScript
useEffect(() => {
  fetch('/api/hero-text').then(r => r.json()).then(setHeroText);
}, []);

// ✅ Server-side or static rendering
// Use SSR, SSG, or streaming to send HTML with content
export async function getServerSideProps() {
  const heroText = await fetchHeroText();
  return { props: { heroText } };
}

5. Make navigations instant with the Speculation Rules API

For sites with predictable same-origin journeys, prerendering a likely next page can make a successful subsequent navigation much faster. Treat this as a measured navigation optimization, not a substitute for fixing the current page's LCP.

<script type="speculationrules">
{
  "prerender": [{
    "where": { "href_matches": "/*" },
    "eagerness": "moderate"
  }]
}
</script>

Current Chrome behavior is specific enough to guide the choice:

eagerness Trigger
conservative Pointer or touch down
moderate Desktop: 200ms hover, or earlier pointer down; mobile: viewport heuristics
eager Chrome 143+: desktop 10ms hover; mobile 50ms after the anchor enters the viewport
immediate As soon as the rules are observed

Start conservatively and measure prediction hit rate, transferred bytes, server load, and navigation improvement before expanding the rules. Recheck Chrome's maintained eagerness documentation before hardcoding timing-sensitive behavior.

Caveats:

  • Bandwidth/CPU cost. Each prerender is roughly a full page load. Scope where carefully (href_matches patterns, exclude logout/checkout) and avoid immediate outside small sites.
  • Side effects fire early. Analytics, ads, and any code that runs on load will fire when the prerender starts, not when the user navigates. Gate side effects on the prerenderingchange event or document.prerendering.
  • Chromium-only. Safari and Firefox ignore the script — it's a progressive enhancement, never a regression.

LCP optimization checklist

- [ ] TTFB < 800ms (use CDN, edge caching)
- [ ] LCP resource is discoverable in initial HTML and prioritized; preload only if the trace shows late discovery
- [ ] LCP image optimized (WebP/AVIF, correct size)
- [ ] Critical CSS inlined (< 14KB)
- [ ] No render-blocking JavaScript in <head>
- [ ] Fonts don't block text rendering (font-display: swap)
- [ ] LCP element in initial HTML (not JS-rendered)
- [ ] Speculation Rules added for likely-next navigations (moderate eagerness)

LCP element identification

This snippet diagnoses the current page session. It is not field data.

// Find your LCP element
new PerformanceObserver((list) => {
  const entries = list.getEntries();
  const lastEntry = entries[entries.length - 1];
  console.log('LCP element:', lastEntry.element);
  console.log('LCP time:', lastEntry.startTime);
}).observe({ type: 'largest-contentful-paint', buffered: true });

INP: Interaction to Next Paint

INP measures responsiveness across clicks, taps, and key presses during a visit. Diagnose its input delay, processing time, and presentation delay separately; a slow interaction may involve main-thread contention before the handler, expensive application work, or delayed rendering after it.

When field INP is poor or a trace identifies a slow interaction, read the INP reference for trace interpretation, yielding patterns, third-party and rendering causes, a single-session observer, and first-party attribution.


CLS: Cumulative Layout Shift

CLS measures unexpected layout shifts across a page visit. Use field attribution or a trace to identify the shifted node and the trigger; do not assume the visible victim caused the shift.

When field CLS is poor or a trace reports shifts, read the CLS reference for reserved-space patterns, dynamic content, font and animation fixes, a debugging observer, and a verification checklist.


Measurement sources

Source Use
Browser performance trace (Chrome DevTools MCP: performance_start_trace) Observe one load or interaction and diagnose focused insights; use included CrUX context when available
CrUX or Search Console Prioritize aggregated real-user outcomes at p75
Lighthouse CLI or PageSpeed Insights Controlled lab fallback when DevTools tools are unavailable
First-party RUM Segment current production experience by route, device, release, and attribution
Raw PerformanceObserver Inspect one page session during debugging

Do not route performance through Chrome DevTools MCP's lighthouse_audit; that capability intentionally covers non-performance Lighthouse categories. Do not compare a single lab value directly with a field p75 as if they were equivalent samples.

When adding or reviewing production collection, read the first-party RUM reference. Prefer the web-vitals library because raw browser APIs do not by themselves implement every Core Web Vital's lifecycle and reporting rules.


Framework quick fixes

Next.js

// LCP: Use next/image with priority
import Image from 'next/image';
<Image src="/hero.jpg" priority fill alt="Hero" />

// INP: Use dynamic imports
const HeavyComponent = dynamic(() => import('./Heavy'), { ssr: false });

// CLS: Image component handles dimensions automatically

React

// LCP: Preload in head
<link rel="preload" href="/hero.jpg" as="image" fetchpriority="high" />

// INP: Memoize and useTransition
const [isPending, startTransition] = useTransition();
startTransition(() => setExpensiveState(newValue));

// CLS: Always specify dimensions in img tags

Vue/Nuxt

<!-- LCP: Use nuxt/image with preload -->
<NuxtImg src="/hero.jpg" preload loading="eager" />

<!-- INP: Use async components -->
<component :is="() => import('./Heavy.vue')" />

<!-- CLS: Use aspect-ratio CSS -->
<img :style="{ aspectRatio: '16/9' }" />

References

Source: SKILL.md on GitHub

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    The skill provides comprehensive and secure instructions for optimizing Core Web Vitals (LCP, INP, CLS) using industry-standard browser APIs and development frameworks. No malicious patterns, hidden code, or security risks were detected.

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Signed by skilld at c6b06ad. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub last month.

Steadyupdated last month
metadata
{
  "author": "web-quality-skills",
  "version": "2.0"
}
  • Performance
  • core-web-vitals
  • lcp
  • inp
  • cls
  • google-search
  • page-experience
  • web-vitals
  • optimization

README badge

README badge for addyosmani/web-quality-skills/core-web-vitals

Optimizes Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) — the three metrics Google uses to rank page experience. Provides concrete fixes for each metric: preloading critical resources and using Speculation Rules for LCP, breaking long tasks and prioritizing visual feedback for INP, and reserving space for images and embeds to prevent CLS.

Generated from the current SKILL.md.

Does this skill cover all three Core Web Vitals?
Yes. It covers LCP (Largest Contentful Paint), INP (Interaction to Next Paint), and CLS (Cumulative Layout Shift), with optimization strategies and code examples for each.
What tools or libraries does this skill assume I'm using?
It's framework-agnostic but includes examples for React/Vue, Web APIs like scheduler.yield() and requestIdleCallback, and references the web-vitals library for field debugging.
Does this include debugging tools or just optimization patterns?
Both. It provides PerformanceObserver code snippets to identify LCP elements and slow interactions, plus guidance on using the web-vitals library with Long Animation Frame attribution for real-user data.
Will this help improve my Google Search ranking?
Yes. Google measures Core Web Vitals at the 75th percentile for search ranking—the skill explains the thresholds and how to meet them.
Does this cover third-party script optimization?
Yes. It includes patterns for lazy-loading heavy widgets and avoiding third-party blocking, particularly relevant for INP.

Generated from the current SKILL.md. These answers refresh after source changes.