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performance-profiling

Analyze Go application CPU and memory profiles using pprof.

2|1|Updated Nov 13, 2025
Search Tags:#performance#debugging#optimization#go#profiling#pprof
One-click install
npx skills add https://github.com/MolcajeteAI/plugin --skill performance-profiling-molcajeteai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: performance-profiling
Source: https://github.com/MolcajeteAI/plugin/tree/main/deprecated/tech-stacks/go/skills/performance-profiling
Command: npx skills add https://github.com/MolcajeteAI/plugin --skill performance-profiling-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 Go applications by leveraging the built-in pprof tool.

Core Features & Use Cases

  • CPU Profiling: Analyze CPU usage to find hot spots in your code.
  • Memory Profiling: Detect memory leaks and high memory allocation areas.
  • HTTP Endpoint: Expose profiling data via an HTTP server for real-time analysis.
  • Use Case: When your Go application is running slowly, use this skill to generate a CPU profile and analyze the functions consuming the most processing time.

Quick Start

Use the performance-profiling skill to analyze the CPU profile of your Go application.

Frequently Asked Questions about performance-profiling

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

FAQPage Schema
How do I profile CPU usage to find bottlenecks in my Go application?▼

Profile Go application CPU usage by generating a profile with pprof to analyze functions consuming the most processing time. This skill identifies hot spots and performance bottlenecks through command-line analysis or an HTTP interface.

Can I detect memory leaks in Go using pprof?▼

Detect memory leaks in Go by using the memory profiling features of the pprof tool. This skill analyzes high memory allocation areas to help you resolve memory bottlenecks and identify where leaks originate within your application.

Do I need a specific runtime environment to analyze Go performance with pprof?▼

Analyzing Go performance with pprof requires the Go runtime and the pprof tool installed. These dependencies are necessary to gather detailed performance metrics and generate visualizations of your application's CPU and memory usage.

How does the HTTP interface work for real-time performance profiling in Go?▼

The HTTP interface for Go performance profiling exposes profiling data via an HTTP server. This allows you to conduct real-time analysis of CPU and memory metrics directly from your running application without interrupting its execution.

What is the best way to identify functions consuming the most processing time in Go?▼

The best way to identify functions consuming the most processing time in Go is generating a CPU profile. Using the pprof tool, you can analyze these profiles to pinpoint hot spots in your code and resolve performance bottlenecks.

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