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benchmark

Measure web app page load, API response, and build performance metrics.

1|Updated Apr 6, 2026
Search Tags:#performance#benchmarking#developer tool#performance metrics#regression detection
One-click install
npx skills add https://github.com/zero3041/PREP --skill benchmark-zero3041
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark
Source: https://github.com/zero3041/PREP/tree/main/.claude/skills/skills/benchmark
Command: npx skills add https://github.com/zero3041/PREP --skill benchmark-zero3041

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps in assessing performance baselines, identifying regressions before/after PRs, and comparing different stack alternatives for your projects.

Core Features & Use Cases

  • Page Performance Measurement: Evaluate real browser metrics like LCP, CLS, INP, FCP, and TTFB.
  • API Performance Benchmarking: Test API endpoints for latency, response size, and status codes.
  • Build Performance Metrics: Measure cold build time, hot reload time, test suite duration, and more.
  • Before/After Comparison: Compare performance metrics before and after changes.

Quick Start

Run the benchmark skill to compare performance metrics before and after your changes: benchmark compare.

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 before deploying changes to production?▼

You can detect performance regressions by evaluating page load times, API response times, and build performance before and after PR changes. This Skill compares baseline metrics against new changes to identify deprecations.

What is the best way to measure web application performance metrics like LCP and INP?▼

The best way to measure web application performance is by evaluating real browser metrics like LCP, CLS, INP, FCP, and TTFB. This provides precise baselines for page load performance and user experience tracking.

How do I benchmark API endpoints for latency and response size?▼

You benchmark API endpoints by testing them for latency, response size, and status codes using API testing frameworks. This evaluates API performance baselines and ensures optimal response times before production deployment.

Can I use this to measure build performance metrics like cold build time and hot reload time?▼

Yes, you can measure build performance metrics including cold build time, hot reload time, and test suite duration. This evaluates build efficiency and identifies regressions when comparing different stack alternatives.

Do I need browser metrics tools and API testing frameworks to evaluate performance baselines?▼

Yes, evaluating performance baselines requires tools like browser metrics and API testing frameworks. These dependencies collect real browser metrics and API latency data needed for precise before and after comparison.

How do I compare stack alternatives for my development project?▼

You compare stack alternatives by running performance benchmarking on page load times, API response times, and build performance. This generates before and after metrics to evaluate which stack provides optimal performance.

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