performance-profiling

Profile Core Web Vitals by running a Lighthouse audit against your target URL to extract performance scores, then use the profiling evidence to diagnose loading and runtime bottlenecks. This measurement-first workflow identifies targets like LCP, INP, and CLS.

The best way to analyze bundle composition and runtime behavior is to follow a baseline, identify, fix, and validate loop. By interpreting Lighthouse, DevTools Performance, and Memory findings, you can locate bottlenecks and memory leaks to prioritize targeted optimizations.

Yes, you can use this performance profiling workflow in CI/CD pipelines and production monitoring. The Skill applies to development scenarios where Core Web Vitals and interaction smoothness must be continuously assessed and validated against baseline metrics.

After a Lighthouse audit identifies performance issues, apply quick-win optimizations such as compression, lazy loading, route code-splitting, and caching. These targeted fixes address the diagnosed bottlenecks in bundle composition and loading behavior.

Yes, you need Python and Lighthouse installed to measure web page performance metrics. These dependencies are required to run the audit scripts that generate the performance scores used for diagnosing bottlenecks and validating optimization changes.