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benchmark

Detects web page performance regressions by comparing baseline and current metrics.

Updated Jun 5, 2026
Search Tags:#web vitals#benchmarking#performance analysis#performance testing#regression detection
One-click install
npx skills add https://github.com/muhammadhamad1104/nuevo --skill benchmark-muhammadhamad1104
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/muhammadhamad1104/nuevo/tree/main/gstack/benchmark
Command: npx skills add https://github.com/muhammadhamad1104/nuevo --skill benchmark-muhammadhamad1104

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a comprehensive analysis of web page performance, helping users identify and diagnose performance regressions, ensuring optimal user experience.

Core Features & Use Cases

  • Performance Baseline: Establish baselines for page load times, Core Web Vitals, and resource sizes.
  • Before/After Comparison: Compare performance metrics before and after changes.
  • Trend Analysis: Track performance trends over time.
  • Use Case: Use this Skill to ensure that web page performance meets predefined standards and identify issues introduced by code changes.

Quick Start

Run the 'benchmark' skill on a web page by providing its URL with the command: /benchmark <url>.

Frequently Asked Questions about benchmark

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

FAQPage Schema
How do I detect performance regressions in web pages?▼

Performance regressions are detected by comparing baseline web page performance metrics against current ones. This analysis highlights potential issues by measuring key indicators like TTFB, FCP, LCP, and DOM Interactive to ensure optimal user experience.

How do I benchmark Core Web Vitals like LCP and FCP for a specific URL?▼

Benchmark Core Web Vitals by running the script on a specific URL to measure FCP, LCP, and TTFB. The analysis establishes a performance baseline and outputs a detailed report comparing these key indicators against predefined standards.

Do I need JavaScript execution to analyze web page performance metrics?▼

Yes, JavaScript execution is required to measure web page performance metrics. The analysis relies on executing scripts to capture accurate timing data for key indicators such as TTFB, FCP, LCP, DOM Interactive, and Total Requests.

What is the best way to track web vitals trends over time?▼

Track web vitals trends by establishing a performance baseline and running before and after comparisons after code changes. This process monitors metrics like LCP and FCP over time to identify any performance regressions introduced.

Can I compare page load times before and after code changes?▼

Yes, you can compare page load times and resource sizes before and after code changes. By comparing the baseline metrics with current ones, the analysis identifies and reports any performance regressions introduced by the updates.

What specific performance metrics are included in a web page analysis?▼

Web page performance analysis includes key indicators such as TTFB, FCP, LCP, DOM Interactive, and Total Requests. The detailed report highlights potential issues by comparing these current metrics against established baseline performance data.

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