go-benchmark

Benchmark Go functions and analyze CPU and memory usage with pprof.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/oioio-space/unpixel --skill go-benchmark-oioio-space
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: go-benchmark
Source: https://github.com/oioio-space/unpixel/tree/main/.claude/skills/go-benchmark
Command: npx skills add https://github.com/oioio-space/unpixel --skill go-benchmark-oioio-space

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps developers measure and improve the performance of Go functions by establishing correct benchmarks, measuring memory and CPU usage, optimizing hot paths, and proving improvements with benchstat.

Core Features & Use Cases

  • Benchmarking: Create and run benchmarks to measure the performance of Go functions.
  • Memory and CPU Profiling: Use pprof to analyze CPU and memory usage.
  • Optimization: Identify and optimize hot paths in Go code.
  • Proving Improvements: Use benchstat to compare performance before and after optimizations.

Quick Start

Run the go-benchmark skill to measure the performance of your Go function 'CalculateSum'.

Frequently Asked Questions about go-benchmark

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

FAQPage Schema
How do I benchmark Go code performance and measure memory usage?

To benchmark Go code performance, you create and run benchmarks to measure function execution and use pprof to analyze memory and CPU usage, establishing accurate metrics for optimization.

What is the best way to optimize hot paths in Go functions?

Optimizing hot paths in Go functions involves using pprof to profile CPU usage, identifying bottlenecks in the code, and modifying the critical execution paths to reduce resource consumption.

How do I prove performance improvements after optimizing Go code?

You prove Go code performance improvements by using benchstat to compare benchmark results before and after optimizations, validating that your changes yielded measurable resource usage reductions.

Do I need pprof to analyze Go CPU and memory usage?

Yes, you need pprof to analyze Go CPU and memory usage, as it provides the profiling capabilities required to identify resource bottlenecks and validate hot path optimizations.

Can I use this approach to benchmark any Go function?

Yes, you can apply this benchmarking approach to any Go function, such as measuring the performance of 'CalculateSum', by establishing correct benchmarks and measuring its resource usage accurately.