golang-benchmark

Compare Go benchmark results using benchstat and pprof statistics.

1|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/Jylhis/claude-marketplace --skill golang-benchmark-jylhis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-benchmark
Source: https://github.com/Jylhis/claude-marketplace/tree/main/plugins/golang-dev/skills/golang-benchmark
Command: npx skills add https://github.com/Jylhis/claude-marketplace --skill golang-benchmark-jylhis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Go projects often suffer from performance regressions that are hard to quantify. This skill provides a disciplined workflow to measure, compare, and reason about Go benchmarks, profiling results, and regression checks.

Core Features & Use Cases

  • Accurate baseline and comparison benchmarks using -count, -benchmem, and controlled conditions to reduce noise.
  • Profiling guidance with pprof, traces, and benchstat-based statistics to identify real hotspots and validate improvements.
  • CI-ready regression detection with benchdiff and related tooling to guard against performance regressions across PRs.
  • Use cases include optimizing hot paths, reducing allocations, and validating changes in CI versus local runs.

Quick Start

Run a baseline benchmark suite with -bench, -benchmem, and -count 10, then compare results with benchstat to validate improvements.

Frequently Asked Questions about golang-benchmark

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

FAQPage Schema
How do I compare Go benchmark results with statistical rigor?

Detect Go performance regressions in CI pipelines using benchdiff to guard against degradation across pull requests. Automate benchmark comparisons with benchstat to validate changes, ensuring performance improvements are validated consistently before merging code.

How do I use pprof to identify hotspots in Go projects?

Reduce allocations in Go benchmarking by running tests with -benchmem to capture memory metrics. Apply profiling guidance with pprof and trace workflows to identify allocation hotspots, then validate improvements using benchstat comparisons across multiple runs.

Can I integrate Go benchmarking and regression checks into CI pipelines?

Yes, integrate Go benchmarking into CI pipelines using benchdiff for regression detection across pull requests. Apply controlled benchmark conditions with -count and -benchmem locally, then validate performance changes with benchstat to ensure reliable CI-ready regression checks.

What is the best way to run baseline Go benchmarks for performance tuning?

The best way to run baseline Go benchmarks for performance tuning is executing suites with -bench, -benchmem, and -count 10 under controlled conditions. This reduces noise, providing accurate baseline data to compare against using benchstat for validating improvements.