Does it support API load testing?

Yes, Mode 2 (API Performance) can hit endpoints with concurrent requests to measure latency percentiles and status code consistency under load.

What build metrics are tracked?

The skill measures cold build times, hot module replacement (HMR) speed, test suite duration, TypeScript check times, and Docker build performance.

How does this skill measure web performance?

It utilizes browser-based automation to navigate target URLs and capture Core Web Vitals like LCP, CLS, and TTFB, as well as resource sizes and network request counts.

Can I use this in my CI/CD pipeline?

Yes, you can run the benchmark compare command within your CI environment to ensure new code changes do not negatively impact your established performance baselines.

Where are the benchmark results stored?

Results are stored as JSON files in the .ecc/benchmarks/ directory. Because these are stored within your project, they can be versioned and shared with your team via Git.

Performance Benchmark

Name: Performance Benchmark
Author: affaan-m

byaffaan-m

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172,650

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分析与监控

Measures performance baselines, detects regressions, and compares tech stack alternatives to ensure optimal application speed.

The Performance Benchmark skill provides a comprehensive suite for quantifying application health across web pages, API endpoints, and development build pipelines. By automating the measurement of Core Web Vitals, API latency distributions, and CI/CD feedback loops, it enables developers to make data-driven decisions during the development lifecycle. The skill allows for local baseline storage within your repository, making it easy to run 'before and after' comparisons to prevent performance regressions before they reach production.

主要功能

01Development cycle analysis including build times, HMR, and test durations

02Automated regression detection with side-by-side comparison reports

03API latency benchmarking with p50, p95, and p99 distribution metrics

04Git-tracked baseline storage in .ecc/benchmarks/ for team collaboration

05Comprehensive Web Vitals measurement (LCP, CLS, INP, FCP, TTFB)

06172,650 GitHub stars

使用场景

01Comparing build tool alternatives by measuring cold build and hot reload speeds

02Benchmarking API endpoints under load to ensure they meet established SLA targets

03Detecting performance regressions in web vitals or bundle size before merging a pull request

主要功能

01Development cycle analysis including build times, HMR, and test durations

02Automated regression detection with side-by-side comparison reports

03API latency benchmarking with p50, p95, and p99 distribution metrics

04Git-tracked baseline storage in .ecc/benchmarks/ for team collaboration

05Comprehensive Web Vitals measurement (LCP, CLS, INP, FCP, TTFB)

06172,650 GitHub stars

使用场景

01Comparing build tool alternatives by measuring cold build and hot reload speeds

02Benchmarking API endpoints under load to ensure they meet established SLA targets

03Detecting performance regressions in web vitals or bundle size before merging a pull request