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go-benchmarking

Benchmark and profile Go code using the standard testing framework and pprof.

2|Updated Feb 14, 2025
Search Tags:#performance#optimization#benchmarking#go#profiling#go tool
One-click install
npx skills add https://github.com/gofhir/validator --skill go-benchmarking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: go-benchmarking
Source: https://github.com/gofhir/validator/tree/main/.claude/skills/go-benchmarking
Command: npx skills add https://github.com/gofhir/validator --skill go-benchmarking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers identify performance bottlenecks and measure the efficiency of their Go code, ensuring optimal application performance.

Core Features & Use Cases

  • Performance Measurement: Accurately gauge the execution time and memory allocation of Go functions.
  • Implementation Comparison: Compare different approaches to solving a problem to select the most performant one.
  • Bottleneck Identification: Pinpoint specific areas in your code that are slowing down execution.
  • Use Case: You've refactored a critical function and want to confirm it's faster than the original. Use this skill to run benchmarks and compare the results.

Quick Start

Execute all benchmarks in the current Go module and view memory statistics.

Frequently Asked Questions about go-benchmarking

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

FAQPage Schema
How do I benchmark Go code to measure execution speed and memory allocations?▼

Benchmark Go code by executing tests through the standard Go testing framework to measure function execution time and view memory allocation statistics. This identifies performance bottlenecks and verifies optimization improvements.

What is the best way to compare the efficiency of different Go implementations?▼

Compare Go implementation efficiency by running benchmarks against multiple approaches to solve a problem. This measures execution speed and resource consumption to help you select the most performant code path.

How does pprof profiling work for identifying bottlenecks in Go applications?▼

Pprof profiling analyzes Go applications to pinpoint specific code areas slowing down execution. It generates detailed CPU and memory profiles that expose resource consumption bottlenecks within your functions.

Can I use the standard Go testing framework to check if my refactored function is faster?▼

Yes, the standard Go testing framework executes benchmarks to compare refactored functions against original implementations. This confirms execution speed improvements and validates memory allocation reductions.

When do I need to run memory profiling on my Go module?▼

Run memory profiling on your Go module when analyzing resource consumption or optimizing execution speed. It measures memory allocations across functions to pinpoint specific areas slowing down performance.

Why does my Go benchmark show inconsistent execution times across runs?▼

Go benchmark execution times vary due to system overhead or unoptimized code paths. Running benchmarks isolates function performance, while pprof profiling pinpoints specific bottlenecks causing inconsistent resource consumption.

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