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Get Started Free →Optimize Core Web Vitals (LCP, INP, CLS) for better page experience and search ranking. Use when asked to "improve Core Web Vitals", "fix LCP", "reduce CLS", "optimize INP", "page experience optimization", or "fix layout shifts".
.claude/skills/addyosmani-core-web-vitals/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-15 | ✗→✓ | ▲ Improved | 74% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 0% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 78% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 95% | 0% |
Targeted optimization for the three Core Web Vitals using field data to identify user impact and browser traces to diagnose causes.
When a runnable URL is available, read the performance measurement workflow. Prefer this sequence:
If only source code is available, identify likely causes but do not claim that LCP, INP, or CLS is failing without runtime evidence.
| 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 measures when the largest visible content element renders. Usually this is:
<svg> element1. Slow server response (TTFB > 800ms)
Fix: CDN, caching, optimized backend, edge rendering2. Render-blocking resources
html<!-- ❌ 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
html<!-- ❌ 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
javascript// ❌ 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.
html<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:
where carefully (href_matches patterns, exclude logout/checkout) and avoid immediate outside small sites.prerenderingchange event or document.prerendering.markdown- [ ] 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)
This snippet diagnoses the current page session. It is not field data.
javascript// 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 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 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.
| 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.
jsx// 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
jsx// 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<!-- 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' }" />
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-15 | fail→pass | 15,328 | 9,157 | -40% | 1 | 1 | 0% | 2,373 | 4,125 | +74% | 0 | 0 | — |
case-01 | fail→pass | 62,445 | 49,273 | -21% | 1 | 1 | 0% | 6,342 | 6,369 | +0% | 0 | 0 | — |
case-02 | fail→pass | 11,596 | 2,728 | -76% | 1 | 1 | 0% | 2,195 | 2,886 | +31% | 0 | 0 | — |
case-03 | pass→pass | 4,433 | 33,135 | +647% | 1 | 1 | 0% | 881 | 3,015 | +242% | 0 | 0 | — |
case-04 | pass→pass | 6,917 | 3,020 | -56% | 1 | 1 | 0% | 1,255 | 2,917 | +132% | 0 | 0 | — |
case-05 | pass→pass | 36,205 | 2,743 | -92% | 1 | 1 | 0% | 952 | 2,791 | +193% | 0 | 0 | — |
case-06 | pass→pass | 4,705 | 2,766 | -41% | 1 | 1 | 0% | 793 | 2,861 | +261% | 0 | 0 | — |
case-07 | pass→pass | 13,509 | 11,711 | -13% | 1 | 1 | 0% | 2,265 | 4,419 | +95% | 0 | 0 | — |
case-08 | pass→pass | 11,922 | 8,825 | -26% | 1 | 1 | 0% | 2,084 | 3,697 | +77% | 0 | 0 | — |
case-09 | pass→pass | 20,607 | 13,812 | -33% | 1 | 1 | 0% | 2,941 | 4,759 | +62% | 0 | 0 | — |
case-10 | fail→pass | 13,065 | 9,106 | -30% | 1 | 1 | 0% | 2,160 | 3,850 | +78% | 0 | 0 | — |
case-11 | fail→pass | 13,218 | 11,918 | -10% | 1 | 1 | 0% | 2,190 | 4,274 | +95% | 0 | 0 | — |
case-12 | pass→pass | 8,604 | 6,221 | -28% | 1 | 1 | 0% | 1,409 | 3,454 | +145% | 0 | 0 | — |
case-13 | pass→pass | 7,933 | 4,387 | -45% | 1 | 1 | 0% | 1,185 | 3,170 | +168% | 0 | 0 | — |
case-14 | pass→pass | 8,926 | 7,382 | -17% | 1 | 1 | 0% | 1,827 | 3,628 | +99% | 0 | 0 | — |
case-16 | pass→pass | 4,978 | 3,505 | -30% | 1 | 1 | 0% | 797 | 3,010 | +278% | 0 | 0 | — |
case-17 | pass→pass | 14,198 | 5,579 | -61% | 1 | 1 | 0% | 2,230 | 3,350 | +50% | 0 | 0 | — |
case-18 | pass→pass | 9,282 | 6,821 | -27% | 1 | 1 | 0% | 1,675 | 3,613 | +116% | 0 | 0 | — |
case-19 | pass→pass | 18,962 | 14,108 | -26% | 1 | 1 | 0% | 2,817 | 4,947 | +76% | 0 | 0 | — |
case-20 | pass→pass | 10,658 | 6,866 | -36% | 1 | 1 | 0% | 1,712 | 3,489 | +104% | 0 | 0 | — |
case-21 | pass→pass | 8,192 | 5,869 | -28% | 1 | 1 | 0% | 1,490 | 3,206 | +115% | 0 | 0 | — |
case-22 | pass→pass | 2,990 | 3,833 | +28% | 1 | 1 | 0% | 565 | 2,927 | +418% | 0 | 0 | — |
case-23 | pass→pass | 5,743 | 7,027 | +22% | 1 | 1 | 0% | 1,135 | 3,399 | +199% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +22 percentage points is the difference between those two pass rates over the 23 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/13/2026 | +9% |
Other measured skills in the registry, with their headline benchmark lift.