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Core Web Vitals

Addy OsmaniCommunityCreated by web-quality-skillsDistributed by Addy Osmani

  • Skill
  • Guidelines
  • Software development
  • MIT
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From the author

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".
— the description by web-quality-skills

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to improving web performance by focusing on the three Core Web Vitals: Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). It emphasizes a data-driven methodology, requiring users to measure performance using field data (CrUX) and lab traces before applying optimizations. The guide includes specific diagnostic techniques, common pitfalls, and framework-specific fixes for Next.js, React, and Vue, ensuring that performance improvements are based on evidence rather than assumptions.

What it does

  • Provides a measurement-first workflow for identifying performance bottlenecks.
  • Offers diagnostic steps for LCP, INP, and CLS issues using browser traces.
  • Includes code patterns to resolve common performance regressions.
  • Details how to use the Speculation Rules API for faster navigations.
  • Provides framework-specific optimization advice for React, Next.js, and Vue.
  • Supplies verification checklists to ensure fixes are effective.

When to use it

  • When you need to improve Core Web Vitals scores for a website.
  • When you are tasked with fixing specific LCP, INP, or CLS issues.
  • When you need to optimize page experience based on real-user data.
  • When you need to diagnose the cause of layout shifts or slow interactions.

Advantages

  • Promotes evidence-based optimization over guesswork.
  • Provides clear thresholds for 'Good', 'Needs work', and 'Poor' metrics.
  • Includes actionable code snippets for common performance problems.
  • Helps distinguish between field data and lab measurement limitations.

Usage examples

“How can I improve my site's LCP score?”
The agent will guide you through measuring your current LCP, identifying if the issue is server response time or resource loading, and applying fixes like preloading hero images or inlining critical CSS.
“My page has a high CLS score. How do I fix it?”
The agent will help you identify the shifted elements using a performance observer, suggest reserving space for dynamic content, and provide CSS patterns to stabilize layout shifts.
“How do I diagnose a slow interaction on my site?”
The agent will explain how to break down the INP into input delay, processing time, and presentation delay, and suggest techniques like yielding to the main thread.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/addyosmani/core-web-vitals/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip core-web-vitals.zip -d .agents/skills

Documentation by web-quality-skills

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

MetricMeasuresGoodNeeds workPoor
LCPLoading≤ 2.5s2.5s – 4s> 4s
INPInteractivity≤ 200ms200ms – 500ms> 500ms
CLSVisual Stability≤ 0.10.1 – 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:

eagernessTrigger
conservativePointer or touch down
moderateDesktop: 200ms hover, or earlier pointer down; mobile: viewport heuristics
eagerChrome 143+: desktop 10ms hover; mobile 50ms after the anchor enters the viewport
immediateAs 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

SourceUse
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 ConsolePrioritize aggregated real-user outcomes at p75
Lighthouse CLI or PageSpeed InsightsControlled lab fallback when DevTools tools are unavailable
First-party RUMSegment current production experience by route, device, release, and attribution
Raw PerformanceObserverInspect 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

Files

references/CLS.md

Cumulative Layout Shift (CLS)

Read this reference when field CLS is poor, a performance trace reports layout shifts, or source inspection finds content that changes geometry without reserved space.

CLS scores unexpected shift clusters across a page visit. A layout-shift score is the impact fraction × distance fraction. Use the shifted-node and initiator evidence: the element that moved may be the victim of content inserted above it.

Reserve media space

Bad:

<img src="photo.jpg" alt="Photo">
<iframe src="https://video.example/embed/123" title="Demo"></iframe>

Good:

<img src="photo.jpg" alt="Photo" width="800" height="600">

<div class="video-frame">
  <iframe src="https://video.example/embed/123" title="Demo"></iframe>
</div>
.video-frame {
  aspect-ratio: 16 / 9;
}

.video-frame iframe {
  height: 100%;
  width: 100%;
}

Reserve a realistic minimum for ads and embeds whose final size can vary. A placeholder that later collapses can also shift content.

Handle dynamic content deliberately

Do not insert banners, validation summaries, consent UI, or notifications above visible content without reserving space. Prefer an overlay, insert outside the active viewport, or allocate a stable container before the content arrives.

Bad:

main.prepend(notification);

Good:

const slot = document.querySelector('[data-notification-slot]');
slot.replaceChildren(notification);

The corresponding slot must already have appropriate reserved dimensions. Verify that responsive content and localization do not overflow it.

Stabilize fonts

Use a fallback with similar metrics and tune it with size-adjust, ascent-override, descent-override, and line-gap-override when trace evidence attributes shifts to font replacement.

@font-face {
  font-family: "Brand Fallback";
  src: local("Arial");
  size-adjust: 102%;
  ascent-override: 92%;
  descent-override: 24%;
  line-gap-override: 0%;
}

Do not copy these values to another font pair; derive them from the actual font metrics and test representative text.

Animate without layout

Prefer transform and opacity for visual motion. Animating height, width, top, or left can trigger layout, but replacing them mechanically is not enough: confirm the transformed element does not obscure content or change the intended hit area.

.toast {
  inset-block-start: 1rem;
  inset-inline-end: 1rem;
  position: fixed;
  transform: translateY(-150%);
  transition: transform 200ms;
}

.toast.is-visible {
  transform: translateY(0);
}

Inspect one browser session

This observer reports shifts seen during the current page session. It is not the distribution of real visits.

new PerformanceObserver((list) => {
  for (const entry of list.getEntries()) {
    if (!entry.hadRecentInput) {
      console.log('Layout shift', entry.value);
      entry.sources?.forEach(source => {
        console.log('Shifted node', source.node);
        console.log('Previous rect', source.previousRect);
        console.log('Current rect', source.currentRect);
      });
    }
  }
}).observe({ type: 'layout-shift', buffered: true });

Verification checklist

  • [ ] Images and responsive media reserve intrinsic space

  • [ ] Ads, embeds, and async components have stable containers

  • [ ] Banners and validation messages do not displace visible content unexpectedly

  • [ ] Font swaps use measured fallback metrics when they cause shifts

  • [ ] Animations avoid unnecessary layout work

  • [ ] The relevant page state and viewport are exercised, not only the initial load

  • [ ] Field improvement is claimed only after new RUM or CrUX visits

Sources

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

No issues found by our static scan· No issues found

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Attribution and licence

Created by
web-quality-skills
Publisher
Addy Osmani (Community)
Distributed by
Addy Osmani
Source
addyosmani/web-quality-skills · skills/core-web-vitals · commit afa8da9
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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