Analyze web page performance with Chrome DevTools MCP to measure Core Web Vitals.
npx skills add https://github.com/FabioFiorita/tastik --skill web-perf-fabiofiorita
Please help me install this Agent Skill. Skill: web-perf Source: https://github.com/FabioFiorita/tastik/tree/main/.agents/skills/web-perf Command: npx skills add https://github.com/FabioFiorita/tastik --skill web-perf-fabiofiorita
Web performance auditing is essential for delivering fast, reliable experiences. This skill provides a structured approach to measure Core Web Vitals, identify render-blocking resources, and diagnose network and caching issues using Chrome DevTools MCP.
Navigate to the target page and start a performance trace to collect metrics.
High-intent search queries and answers about installing and using this skill.
You can measure Core Web Vitals and identify render-blocking resources by running a performance trace using Chrome DevTools MCP. This skill analyzes metrics like FCP, LCP, and CLS to pinpoint assets and dependency chains slowing down your page.
To audit web performance bottlenecks across pages, use guided workflows that navigate to each target URL and collect performance insights. This approach provides repeatable checks and actionable recommendations for each location.
Yes, you need a configured MCP server to run web performance diagnostics. This skill relies on Chrome DevTools MCP commands like navigate_page and performance_start_trace to collect metrics and generate diagnostics.
Yes, you can use Chrome DevTools to profile site speed and debug Lighthouse scores. The skill leverages DevTools MCP to measure Total Blocking Time, Speed Index, and other metrics to diagnose network and caching issues affecting your results.
A slow LCP often stems from network and caching gaps or render-blocking assets. By running a performance trace and analyzing resource dependencies, you can diagnose the exact network issues causing the delay.
A web performance trace analyzes Core Web Vitals including First Contentful Paint, Largest Contentful Paint, Cumulative Layout Shift, Total Blocking Time, and Speed Index to quantify user-perceived performance and locate bottlenecks.
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