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golang-benchmark

Benchmark and profile Go code with pprof and benchstat.

Updated Mar 8, 2026
Search Tags:#performance#go#profiling#benchmark#ci#pprof#benchstat
One-click install
npx skills add https://github.com/tamago0224/kuroshio-mta --skill golang-benchmark-tamago0224
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: golang-benchmark
Source: https://github.com/tamago0224/kuroshio-mta/tree/main/.agents/skills/golang-benchmark
Command: npx skills add https://github.com/tamago0224/kuroshio-mta --skill golang-benchmark-tamago0224

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It provides a complete workflow for measuring, analyzing, and improving Go program performance, turning raw benchmark data into statistically sound insights.

Core Features & Use Cases

  • Write and run Go benchmarks with modern b.Loop() support and allocation tracking.
  • Profile CPU, memory, and execution traces using pprof directly from benchmarks.
  • Statistically compare results with benchstat, including confidence intervals and p‑values.
  • Detect regressions in CI using benchdiff, cob, or gobenchdata integrations.
  • Monitor production performance via Prometheus Go runtime metrics.

Quick Start

Use golang-benchmark to run a benchmark suite and generate a performance report.

Frequently Asked Questions about golang-benchmark

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

FAQPage Schema
How do I run a Go benchmark and track memory allocations?▼

Run a Go benchmark and track allocations by using modern b.Loop() support to execute the test suite while enabling allocation tracking to measure memory performance. This provides raw data for analysis.

How do I statistically compare Go benchmark results to detect regressions?▼

Statistically compare Go benchmark results and detect regressions by using the benchstat utility to calculate confidence intervals and p-values. This ensures observed performance differences are statistically sound rather than noise.

How do I profile CPU and memory usage from a Go benchmark?▼

Profile CPU and memory usage from a Go benchmark by using pprof directly within your benchmark execution to generate profiles. This captures detailed runtime traces to uncover specific performance bottlenecks.

Can I detect Go performance regressions automatically in a CI pipeline?▼

Detect Go performance regressions automatically in a CI pipeline by integrating benchdiff, cob, or gobenchdata. These tools compare benchmark runs to flag statistically significant performance drops during automated builds.

Do I need the benchstat utility to analyze Go benchmark data?▼

Yes, you need the benchstat utility to analyze Go benchmark data because it provides the statistical analysis required to calculate confidence intervals and p-values, transforming raw benchmark outputs into reliable performance insights.

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