Optimizes web performance for LCP, INP, and CLS using 2026 thresholds and real-user monitoring implementation patterns.
This skill equips Claude with the specific knowledge and code patterns required to diagnose and resolve performance regressions across Google's Core Web Vitals metrics. It provides expert guidance on reducing Largest Contentful Paint (LCP) through server-side rendering and resource prioritization, improving Interaction to Next Paint (INP) by yielding the main thread, and eliminating Cumulative Layout Shift (CLS) through stable layout techniques. By incorporating the stricter 2026 thresholds, this skill helps developers future-proof their web applications for upcoming search engine ranking updates.
Características Principales
01INP Responsiveness & Task Yielding
02CLS Prevention & Layout Stability
032026 Metric Threshold Alignment
0469 GitHub stars
05LCP Resource Prioritization & Preloading
06Real User Monitoring (RUM) Integration
Casos de Uso
01Diagnosing and fixing Core Web Vitals regressions
02Setting and enforcing performance budgets in CI/CD