Compare web performance baselines and current runs to detect regressions.
npx skills add https://github.com/kinetas/ai_coding_web --skill benchmark-kinetas
Please help me install this Agent Skill. Skill: benchmark Source: https://github.com/kinetas/ai_coding_web/tree/main/gstack/benchmark Command: npx skills add https://github.com/kinetas/ai_coding_web --skill benchmark-kinetas
Performance regression detection using the browse daemon. Establishes baselines for page load times, Core Web Vitals, and resource sizes. Compares before/after on every PR. Tracks performance trends over time. Use when: "performance", "benchmark", "page speed", "lighthouse", "web vitals", "bundle size", "load time". (gstack) Voice triggers (speech-to-text aliases): "speed test", "check performance".
Run the benchmark against a target URL to start collecting baseline and current performance data.
High-intent search queries and answers about installing and using this skill.
To catch web performance regressions on pull requests, you can establish JSON-based baselines for Core Web Vitals and bundle sizes, then compare current runs against them to detect changes automatically during PR workflows.
Page load benchmarking tracks TTFB, FCP, LCP, and DOM metrics, alongside resource profiling and bundle sizes for multiple pages to provide actionable performance insights and historical trends.
Automated performance data collection works by using the browse daemon for data gathering and executing JavaScript evaluation on target pages to measure metrics across entire page sets without manual intervention.
Yes, you can analyze historical performance trends by saving JSON-based reports from each run, allowing you to track Core Web Vitals, resource sizes, and page load times over time.
The best way to establish a performance baseline is to run the benchmark against your target URL during the setup phase, capturing initial TTFB, FCP, LCP, and bundle size metrics into a JSON report for future comparison.
Yes, the browse daemon is required to satisfy the requirements for automated data gathering, enabling JavaScript evaluation and resource profiling to measure Core Web Vitals and detect regressions accurately.
makyua-sanCompare current web page metrics against baselines to detect performance regressions.
VertaKhanRun automated web performance benchmarks and generate JSON and Markdown reports.
hopeovertureEnforce performance budgets on bundle sizes, Lighthouse scores, and Web Vitals in CI/CD pipelines.
2300031147Collect navigation and resource timing metrics with the browse daemon for baseline comparisons.
