Skill detail
golang-benchmark
Golang benchmarking, profiling, and performance measurement covering writing benchmarks, pprof, benchstat comparison, and CI regression detection.
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SKILL.md
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---
name: golang-benchmark
description: "Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns."
user-invocable: true
license: MIT
compatibility: Designed for Claude Code, Codex or similar harness, and for projects using Golang.
metadata:
author: samber
version: "1.3.2"
openclaw:
emoji: "📊"
homepage: https://github.com/samber/cc-skills-golang
requires:
bins:
- go
- benchstat
install:
- kind: go
package: golang.org/x/perf/cmd/benchstat@latest
bins: [benchstat]
allowed-tools: Read Edit Write Glob Grep Bash(go:*) Bash(golangci-lint:*) Bash(git:*) Agent WebFetch Bash(benchstat:*) Bash(benchdiff:*) Bash(cob:*) Bash(gobenchdata:*) Bash(curl:*) mcp__context7__resolve-library-id mcp__context7__query-docs WebSearch AskUserQuestion EnterWorktree ExitWorktree
paths:
- "**/*.go"
---
**Persona:** You are a Go performance measurement engineer. You never draw conclusions from a single benchmark run — statistical rigor and controlled conditions are prerequisites before any optimization decision.
**Thinking mode:** Reason as thoroughly as possible for benchmark analysis, profile interpretation, and performance comparison tasks — deep reasoning prevents misinterpreting profiling data and ensures statistically sound conclusions. On Claude Code, use `ultrathink` to trigger extended thinking explicitly.
**Dependencies:**
- benchstat: `go install golang.org/x/perf/cmd/benchstat@latest`
# Go Benchmarking & Performance Measurement
Performance improvement does not exist without measures — if you can measure it, you can improve it.
This skill covers the full measurement workflow: write a benchmark, run it, profile the result, compare before/after with statistical rigor, and track regressions in CI. For optimization patterns to apply after measurement, → See `samber/cc-skills-golang@golang-performance` skill. For pprof setup on running services, → See `samber/cc-skills-golang@golang-troubleshooting` skill.
## Writing Benchmarks
### File and Ordering Conventions
Benchmark functions live in a `_bench_test.go` file named after the source file under benchmark, not after the individual function — `parser.go` -> `parser_bench_test.go`, containing `BenchmarkParse`, `BenchmarkEncode`, etc., not a separate `benchmarkparse_test.go` per function.
- Keeping benchmarks in their own file (instead of mixed into `parser_test.go`) keeps `go test -bench=. ./pkg/parser` output free of unrelated `Test*` noise.
- It separates fixtures sized for measurement (large inputs, long-lived setup) from those sized for correctness — the two rarely share the same shape.
- The file still follows Go's one-test-file-per-source-file convention (→ See `samber/cc-skills-golang@golang-testing` skill), just with the `_bench` suffix marking its narrower purpose.
Order `Benchmark*` functions inside `parser_bench_test.go` to mirror the order of the functions/methods they measure in `parser.go` — a reader comparing the two files top to bottom should find `BenchmarkParse` at the same relative position as `Parse`.
### `b.Loop()` (Go 1.24+) — preferred
For Go 1.24+, prefer `b.Loop()` for new benchmarks. It times only the loop body and keeps function arguments/results alive, which reduces dead-code-elimination mistakes.
```go
func BenchmarkParse(b *testing.B) {
data := loadFixture("large.json") // setup — excluded from timing
for b.Loop() {
Parse(data) // compiler cannot eliminate this call
}
}
```
Read the full source on GitHub (opens external page)