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lachieh
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benchmark

Measure and compare web performance metrics across pull requests using a browse daemon.

Updated Mar 15, 2026
Search Tags:#performance#lighthouse#regression#benchmark#web-vitals#page-load
One-click install
npx skills add https://github.com/lachieh/babytalk --skill benchmark-lachieh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/lachieh/babytalk/tree/main/.claude/skills/gstack/benchmark
Command: npx skills add https://github.com/lachieh/babytalk --skill benchmark-lachieh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams detect performance regressions by measuring and comparing page load metrics across PRs, establishing baselines, and tracking trends over time.

Core Features & Use Cases

  • Baseline capture and regression detection using a browse daemon to measure metrics like TTFB, FCP, LCP, and bundle sizes.
  • Per-page analysis with diff and trend views to identify regressions across PR changes.
  • Automated reporting and guidance to optimize performance budgets and top slow resources.

Quick Start

Run the /benchmark command with a URL to start 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 in pull requests?▼

Detect web performance regressions in pull requests by measuring and comparing page load metrics like TTFB, FCP, and LCP against an established baseline. This automates regression reporting across PR changes.

What is the best way to track Core Web Vitals changes across code changes?▼

Track Core Web Vitals changes by capturing baseline performance metrics and applying diff and trend analysis across historical data. This identifies specific per-page regressions resulting from recent code changes.

How do I benchmark page load times and bundle sizes for my website?▼

Benchmark page load times and bundle sizes by running a full-site audit using a browse daemon and JavaScript performance APIs. This measures per-page metrics to provide detailed timing and resource data.

Can I compare current page performance against a historical baseline?▼

You can compare current page performance against a historical baseline using the diff mode and trend analysis features. These compare current TTFB, FCP, and LCP metrics against previously captured baseline data.

What web performance metrics are needed for automated regression reporting?▼

Automated regression reporting requires per-page web performance metrics like TTFB, FCP, LCP, and bundle sizes. These metrics are compared against captured baselines to identify and report performance drops.

When should I run a full-site performance audit and baseline comparison?▼

Run a full-site performance audit and baseline comparison when you need to measure the impact of PR changes on web-vitals. It establishes baseline metrics to detect page load regressions across your site.

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