account-research
Research a company or person and get actionable sales intel. Works standalone with web search, supercharged when you connect enrichment tools or your CRM.…
\"Optimize Core Web Vitals (LCP, INP, CLS) for better search rankings and user experience. Use this skill when the user needs to diagnose page speed issues, improve Largest Contentful Paint, reduce layout shift, or pass Google's page experience signals — even if they say 'my
$ npx -y skills add charlieviettq/awesome-agent-skill --skill algo-seo-technical --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/algo-seo-technicalContext preview
The summary Claude sees to decide when to auto-load this skill.
\"Optimize Core Web Vitals (LCP, INP, CLS) for better search rankings and user experience. Use this skill when the user needs to diagnose page speed issues, improve Largest Contentful Paint, reduce layout shift, or pass Google's page experience signals — even if they say 'my
name: "\"algo-seo-technical\"" description: "\"Optimize Core Web Vitals (LCP, INP, CLS) for better search rankings and user experience. Use this skill when the user needs to diagnose page speed issues, improve Largest Contentful Paint, reduce layout shift, or pass Google's page experience signals — even if they say 'my site is slow', 'Core Web Vitals failing', or 'page speed optimization'.\"." allowed-tools: Read, Glob, Grep
Core Web Vitals are Google's page experience metrics: LCP (loading), INP (interactivity), and CLS (visual stability). Measured on real user data (CrUX). Pass thresholds: LCP < 2.5s, INP < 200ms, CLS < 0.1.
**Trigger conditions:**
**When NOT to use:**
IRON LAW: CrUX Field Data Is the Source of Truth Lab scores (Lighthouse) that pass can still FAIL in the field. Google ranks based on REAL USER data (75th percentile): - LCP < 2.5s (Good), 2.5-4.0s (Needs Improvement), > 4.0s (Poor) - INP < 200ms (Good), 200-500ms (Needs Improvement), > 500ms (Poor) - CLS < 0.1 (Good), 0.1-0.25 (Needs Improvement), > 0.25 (Poor)
Collect field data from CrUX API or Search Console. Run Lighthouse for lab baseline. Identify which metrics fail. **Gate:** Have both field and lab data; failing metrics identified.
**LCP fixes:** 1. Optimize largest element (hero image/text). 2. Preload critical resources. 3. Reduce server response time (TTFB). 4. Eliminate render-blocking resources.
**INP fixes:** 1. Break long tasks (> 50ms) into smaller chunks. 2. Reduce JavaScript execution time. 3. Use `requestIdleCallback` for non-critical work. 4. Minimize main thread blocking.
**CLS fixes:** 1. Set explicit dimensions on images/videos. 2. Reserve space for ads/embeds. 3. Avoid inserting content above existing content. 4. Use CSS `contain` for dynamic elements.
Re-run Lighthouse, deploy, then monitor CrUX for 28-day rolling average improvement. **Gate:** Lab scores pass; await field data confirmation (28-day cycle).
Return audit results with specific fix recommendations prioritized by impact.
{
"audit": {"lcp": {"value_ms": 3200, "status": "poor", "element": "hero-image.jpg", "fixes": ["preload", "compress"]}},
"metadata": {"url": "...", "data_source": "crux", "device": "mobile"}
}**Input:** URL with LCP=4.1s, CLS=0.32, INP=150ms **Expected:** LCP and CLS flagged as poor; INP passes. Fix priorities: CLS (image dimensions) → LCP (hero image preload)
| Input | Expected | Why | |-------|----------|-----| | SPA with client rendering | High LCP likely | No server-rendered content for LCP element | | Page with ads | High CLS likely | Ad slots inject content dynamically | | All metrics pass in lab | May still fail field | Real devices on slow networks differ from lab |
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