Detect performance regressions in web applications by comparing metrics before and after changes.
npx skills add https://github.com/limzivector/SEO --skill benchmark-limzivector
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/limzivector/SEO/tree/main/gstack/benchmark Command: npx skills add https://github.com/limzivector/SEO --skill benchmark-limzivector
This Skill identifies performance regressions in web applications, helping you maintain optimal performance over time.
Run the benchmark skill with the command: /benchmark <url>
High-intent search queries and answers about installing and using this skill.
To detect web performance regressions before deploying a new feature, you compare baseline metrics against post-change results. This process evaluates load times, Core Web Vitals, and resource sizes to identify any degradation introduced by the new code.
Performance regression detection is the process of comparing web application metrics before and after changes to identify degradations. It evaluates page speed by analyzing load times, Core Web Vitals, and resource sizes using real performance data gathered through JavaScript evaluation.
Yes, you need a browse daemon to measure Core Web Vitals and resource sizes. The performance detection process requires this daemon and JavaScript evaluation to gather real performance data from the target web application URL.
To analyze load times and Core Web Vitals for a specific URL, run the benchmark command with your target URL. The tool measures real performance data by evaluating JavaScript, comparing current metrics against previous baselines to identify any regressions.
The best way to prevent performance degradation in web applications is to continuously compare performance metrics before and after changes. By evaluating load times, Core Web Vitals, and resource sizes with real data, you can identify and resolve regressions prior to deployment.
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