What problem does it solve? Diagnosing slow page loads and poor Lighthouse scores requires correlating traces, network requests, and codebase configuration, which is tedious to do manually. This Skill provides a structured five-phase audit workflow that turns raw performance data into prioritized, quantified fixes. ## Core Features & Use Cases - Performance Trace Analysis: Captures cold-load traces via Chrome DevTools MCP and extracts Core Web Vitals insights like LCP breakdowns and CLS culprits. - Network & Accessibility Review: Lists network requests to find render-blocking resources, missing preloads, and caching issues, plus flags accessibility gaps from DOM snapshots. - Codebase Analysis: Detects your framework and bundler (Webpack, Vite, Next.js, etc.) to identify tree-shaking, polyfill, and minification opportunities. - Use Case: Point it at a staging URL with a poor Lighthouse score; it runs a trace, identifies that an uncompressed 450KB hero image is delaying LCP, and recommends converting it to WebP with estimated savings. ## Quick Start Audit the performance of https://example.com and give me a prioritized list of Core Web Vitals issues with specific fixes.