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Buckeyes22
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benchmark

Measure page performance metrics and baselines using the browse daemon.

Updated Aug 27, 2026
Search Tags:#performance#lighthouse#benchmark#web-vitals#bundle-size#page-load#browse-daemon
One-click install
npx skills add https://github.com/Buckeyes22/weather-app --skill benchmark-buckeyes22
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/Buckeyes22/weather-app/tree/main/docs/corpora/gstack/benchmark
Command: npx skills add https://github.com/Buckeyes22/weather-app --skill benchmark-buckeyes22

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill detects performance regressions by establishing baselines for page load times, Core Web Vitals, and resource sizes using the browse daemon, and by comparing before/after on every PR to track trends over time.

Core Features & Use Cases

  • Establish baselines for page load times, Core Web Vitals, and resource sizes.
  • Compare before/after on every PR and track performance trends over time.
  • Use when evaluating performance, page speed, lighthouse reports, web vitals, bundle size, or load time.

Quick Start

Type /benchmark <url> to run a full performance audit and baseline comparison.

Frequently Asked Questions about benchmark

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect web performance regressions across pull requests?▼

You can detect web performance regressions by capturing baseline metrics for page load times and Core Web Vitals, then diffing new pull request runs against those baselines to track trends over time.

What Core Web Vitals and navigation timing metrics are captured during a performance audit?▼

A performance audit captures structured navigation timing and resource data, including TTFB, FCP, LCP, DOM metrics, and bundle or resource sizes for the specified URL.

How do I establish a performance baseline and compare page load times?▼

Use the browse daemon to collect navigation timing data for a URL to establish a baseline, then compare subsequent runs against this saved baseline to identify page load time regressions.

Can I automate bundle size tracking and LCP monitoring for my URLs?▼

Yes, the browse daemon collects resource data and LCP metrics for a given URL, outputting structured reports suitable for automation and continuous bundle size tracking.

What is the best way to track Core Web Vitals trends over time?▼

The best way to track Core Web Vitals trends is to measure performance using the browse daemon on every PR, comparing before and after results against previous baselines to analyze metric progression.

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