go-performance

Name: go-performance
Availability: InStock
Author: plugin

Profiles CPU and memory usage in Go applications to identify hotspots and guide performance improvements.

4|Updated Nov 18, 2025

Search Tags:#optimization #benchmarking #go #profiling #memory-management #pprof

Ready to run

npx skills add https://github.com/pluginagentmarketplace/custom-plugin-go --skill go-performance-pluginagentmarketplace

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: go-performance
Source: https://github.com/pluginagentmarketplace/custom-plugin-go/tree/main/skills/go-performance
Command: npx skills add https://github.com/pluginagentmarketplace/custom-plugin-go --skill go-performance-pluginagentmarketplace

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Go performance optimization addresses the need to identify CPU and memory bottlenecks, improve throughput, and reduce latency in Go applications.

Core Features & Use Cases

CPU and memory profiling with practical patterns.
Benchmarking and performance regression checks.
Memory optimization and escape analysis guidance.

Quick Start

Profile a running Go service to identify hotspots and apply optimizations.

Frequently Asked Questions about go-performance

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

FAQPage Schema

How do I profile CPU and memory usage in a Go service to find bottlenecks?▼

CPU and memory profiling identifies performance bottlenecks in Go applications. This Skill provides practical patterns and tooling guidance to profile running services, detect hotspots, and apply memory management optimizations to improve throughput and reduce latency.

What's the best way to run benchmarks and check for performance regressions in Go?▼

Benchmarking in Go measures code performance and catches regressions. This Skill guides you through running benchmarks and performance regression checks, helping you validate optimization results and maintain service performance over time.

How does escape analysis help with memory optimization in Go?▼

Escape analysis determines which variables allocate on the heap versus the stack, directly impacting memory optimization. This Skill provides guidance on interpreting escape analysis results to reduce allocations and apply effective memory management patterns.

Can I use pprof for profiling both CLI tools and microservices in Go?▼

Yes, pprof profiling applies to server-side Go services, microservices, and CLI tools. This Skill covers CPU and memory profiling techniques that work across different Go application types to identify hotspots and guide improvements.

Why does my Go application have high memory usage and how do I optimize it?▼

High memory usage in Go often stems from unnecessary heap allocations. This Skill helps you profile memory, apply escape analysis guidance, and implement memory optimization best practices to reduce allocation overhead and improve application performance.