Benchmark, profile, and detect regressions in Go projects.
npx skills add https://github.com/omarluq/og-template --skill golang-benchmark-omarluq
Please help me install this Agent Skill. Skill: golang-benchmark Source: https://github.com/omarluq/og-template/tree/main/.agents/skills/golang-benchmark Command: npx skills add https://github.com/omarluq/og-template --skill golang-benchmark-omarluq
Golang benchmarking and profiling can be tedious and error-prone without a repeatable workflow. This skill provides a structured approach to measure performance, profile hot paths, compare results, and detect regressions across Go projects.
Benchmark your code with a baseline run and compare results; use benchstat to determine significance and guide optimizations.
High-intent search queries and answers about installing and using this skill.
To identify performance bottlenecks in Go, you need a structured benchmarking and profiling workflow. This involves running benchmarks, capturing CPU and memory profiles with pprof, and analyzing hot paths to pinpoint optimization targets.
Use benchstat and benchdiff to detect Go benchmark regressions by comparing PR runs against a baseline. This statistical validation determines if performance changes are significant and enforces CI regression gates on pull requests.
The best way to interpret pprof CPU and memory profiles in Golang is through a structured profiling workflow. This guides you through capturing trace data and analyzing hot paths to identify exactly where optimization efforts should focus.
Set up CI regression gates for Go benchmarks by integrating benchmark comparisons into your pipeline. Using benchstat and benchdiff, compare PR performance against the base branch to block changes that cause significant regressions.
Ensure reproducible Go benchmarking workflows by using interleaved runs and statistical validation. This structured approach eliminates noise and provides reliable measurement and analysis for production-grade performance work.
vlad-ryzhkovAudit Go backend repositories for API endpoints, infrastructure, and test coverage.
shafibabarOptimize Go application performance using pprof profiling and benchstat benchmark evidence.
samberDesign and execute Go benchmarks with b.Loop and benchstat comparisons.
ozan-fnWrite, execute, and analyze Go benchmarks with benchstat.
