benchmarking

Write, run, and analyze Go benchmarks using the testing package.

2|1|Updated Nov 13, 2025
One-click install
npx skills add https://github.com/MolcajeteAI/plugin --skill benchmarking-molcajeteai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmarking
Source: https://github.com/MolcajeteAI/plugin/tree/main/deprecated/tech-stacks/go/skills/benchmarking
Command: npx skills add https://github.com/MolcajeteAI/plugin --skill benchmarking-molcajeteai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers identify and resolve performance bottlenecks in their Go applications by providing tools and techniques for effective benchmarking.

Core Features & Use Cases

  • Benchmark Writing: Provides examples for creating Go benchmarks using the testing package.
  • Benchmark Execution: Shows how to run benchmarks from the command line, including options for memory profiling and multiple runs.
  • Result Analysis: Explains how to interpret benchmark output and use tools like benchstat for comparison.
  • Use Case: You've made changes to a critical function in your Go service and want to ensure performance hasn't degraded. Use this Skill to write, run, and analyze benchmarks for that function.

Quick Start

Use the benchmarking skill to run all benchmarks in the current directory and analyze their memory usage.

Frequently Asked Questions about benchmarking

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

FAQPage Schema
How do I write Go benchmarks using the testing package?

Go benchmarks are written using the standard `testing` package by creating functions prefixed with Benchmark. This Skill provides examples for creating these functions to measure performance and identify memory allocation issues in critical code paths.

How do I run Go benchmarks with memory profiling from the command line?

Run Go benchmarks from the command line using specific flags to enable memory profiling and execute multiple runs. This Skill shows how to apply these execution options to systematically analyze your application's performance.

How do I interpret Go benchmark output to compare algorithm efficiency?

Interpreting Go benchmark output involves reading the execution time and memory allocation metrics provided by the `testing` package. This Skill explains how to analyze these results and use tools like `benchstat` for comparing algorithm efficiency.

Can I use this benchmarking approach to identify memory allocation issues in Go?

Yes, this benchmarking approach identifies memory allocation issues in Go applications by measuring performance during systematic benchmarking. You apply it to critical code paths to detect and resolve performance bottlenecks related to memory usage.

What is the best way to ensure performance hasn't degraded after changing a critical Go function?

The best way to ensure performance hasn't degraded is to write, run, and analyze Go benchmarks for the modified function. This Skill facilitates performance measurement by comparing results before and after your changes using standard `testing` conventions.