golang-benchmark

Measure Go code performance and analyze profiling data.

Updated Jun 27, 2026

Search Tags:#benchmarking #profiling #Go #regression detection #performance measurement

Ready to run

npx skills add https://github.com/LuigiAPCPereira/evolutiondocs --skill golang-benchmark-luigiapcpereira

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: golang-benchmark
Source: https://github.com/LuigiAPCPereira/evolutiondocs/tree/main/.agents/skills/golang-benchmark
Command: npx skills add https://github.com/LuigiAPCPereira/evolutiondocs --skill golang-benchmark-luigiapcpereira

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires go, benchstat, pprof, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for measuring, analyzing, and optimizing the performance of Go applications. It helps developers identify performance bottlenecks, track regressions, and make informed decisions to improve their code.

Core Features & Use Cases

Benchmarking: Automatically generate and run benchmarks to measure the performance of Go code.
Profiling: Analyze CPU and memory usage to identify hotspots and inefficient code.
Comparison: Compare the performance of different code versions to detect regressions.
CI Integration: Automate performance testing in continuous integration pipelines.
Use Case: After implementing an optimization to your code, use this Skill to compare the performance of the old and new versions to ensure the optimization was effective.

Quick Start

Use the golang-benchmark skill to measure the performance of a specific function 'MyFunction'.

Frequently Asked Questions about golang-benchmark

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

FAQPage Schema

How do I benchmark Go code and detect performance regressions?▼

To benchmark Go code and detect regressions, you can generate and run benchmarks, analyze profiling data, and compare performance across different code versions using benchstat to track changes over time.

What is the best way to profile CPU and memory usage in Go applications?▼

Profiling CPU and memory usage in Go applications involves analyzing runtime metrics to identify hotspots and inefficient code, enabling developers to pinpoint bottlenecks and make informed optimization decisions.

Can I automate Go performance testing in a CI/CD pipeline?▼

Yes, you can automate Go performance testing in CI/CD pipelines by generating benchmarks and comparing performance of different code versions to detect regressions and ensure optimizations are effective continuously.

Do I need benchstat and pprof to measure Go performance?▼

Yes, you need benchstat and pprof to measure Go performance, as these tools are required dependencies for analyzing profiling data and comparing benchmark results to track performance regressions.

How do I compare the performance of two Go code versions after optimizing?▼

To compare the performance of two Go code versions after optimizing, you run benchmarks on both versions and use benchstat to analyze the results, verifying whether the optimization effectively improved performance.