Writing fast Go code starts with measuring it correctly. This skill helps you write benchmarks that give real, reliable results. You will learn how to use b.Loop() and avoid common mistakes that make benchmarks misleading.
Profiling is the next step after measuring. Use pprof to find hot paths and understand your CPU and memory usage. Then compare results with benchstat to see if your changes actually made things faster or slower.
You can even set up automatic checks in your CI pipeline to catch performance regressions early. For production apps, Prometheus runtime metrics help you monitor real-world performance over time.
Global
mkdir -p ~/.claude/skills/golang-benchmarkProject
mkdir -p .claude/skills/golang-benchmarkSource Repository
Grill Memattpocock/skills
Stress-test your plan with relentless questions until we both understand
Tddmattpocock/skills
Write one test at a time then code to make it pass
Test Driven Developmentobra/superpowers
Write a failing test first then code just enough to pass
Qamattpocock/skills
Turn bug reports into GitHub issues through natural conversation without technical fuss
Migrate To Shoehornmattpocock/skills
Replace unsafe as assertions with type-safe partial test data easily
Webapp Testinganthropics/skills
Test your local web apps quickly with Playwright automation and screenshots
Playwright Best Practicescurrents-dev/playwright-best-practices-skill
Master Playwright testing with best practices for reliable and fast tests
Google Agents Cli Evalgoogle/agents-cli
Run evaluations on your AI agent, find failures, and improve its quality step by step