Does this skill provide production-ready code?

Yes, it includes references to production-grade templates and scripts for implementing web vitals tracking in real-world applications.

Why is attribution important in performance tracking?

Without attribution, you only know a metric is poor; with it, you know exactly which element (like a specific image or script) is causing the delay, making the data actionable.

Which frameworks are supported by this skill?

The skill provides patterns and templates applicable to all modern web environments, including React, Vue, and Svelte.

What specific metrics does this skill help monitor?

It focuses on the three Core Web Vitals: Largest Contentful Paint (LCP) for loading speed, Interaction to Next Paint (INP) for responsiveness, and Cumulative Layout Shift (CLS) for visual stability.

How does Core Web Vitals optimization impact SEO?

Core Web Vitals are official Google ranking factors. Improving these metrics directly enhances your site's search visibility and user retention.

Core Web Vitals Optimizer

Name: Core Web Vitals Optimizer
Author: nexus-labs-automation

bynexus-labs-automation

分析与监控

Measures and optimizes web performance metrics to improve user experience and search engine rankings.

关于

The Core Web Vitals skill empowers Claude to analyze, track, and optimize the essential metrics Google uses to assess user experience: Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). By providing actionable attribution data and production-ready implementation patterns, this skill helps developers identify specific bottlenecks—such as unoptimized hero images or long JavaScript tasks—and implement robust, route-based tracking to ensure high-performance web applications.

主要功能

Route-based performance monitoring and aggregation
Production-ready implementation templates for modern frameworks
Detection and resolution of common performance anti-patterns
Actionable attribution tracking for specific element debugging
0 GitHub stars
Comprehensive measurement of LCP, INP, and CLS metrics

使用场景

Implementing site-wide performance monitoring and alerting systems
Optimizing web applications for Google's search ranking signals
Debugging slow page loads and unexpected visual layout shifts

关于

主要功能

Route-based performance monitoring and aggregation
Production-ready implementation templates for modern frameworks
Detection and resolution of common performance anti-patterns
Actionable attribution tracking for specific element debugging
0 GitHub stars
Comprehensive measurement of LCP, INP, and CLS metrics

使用场景

Implementing site-wide performance monitoring and alerting systems
Optimizing web applications for Google's search ranking signals
Debugging slow page loads and unexpected visual layout shifts