golang-troubleshooting

Troubleshoot Go bugs with a structured root-cause analysis workflow.

Updated Oct 1, 2024
One-click install
npx skills add https://github.com/mrlorentx/.files --skill golang-troubleshooting-mrlorentx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-troubleshooting
Source: https://github.com/mrlorentx/.files/tree/main/ai/claude/skills/golang-troubleshooting
Command: npx skills add https://github.com/mrlorentx/.files --skill golang-troubleshooting-mrlorentx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Troubleshoot Golang programs systematically to identify root causes, reduce debugging time, and improve code reliability.

Core Features & Use Cases

  • Methodical error handling and reproduction steps for Go bugs
  • Guidance on debugging tools like pprof, Delve, race detector, and context management
  • Real-world workflows for crashes, panics, and performance issues

Quick Start

Reproduce a Go bug, then trace to root cause using the Golden Rules.

Frequently Asked Questions about golang-troubleshooting

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

FAQPage Schema
How do I systematically debug a Golang panic to find the root cause?

To debug a Golang panic, reproduce the error methodically and trace the execution path to its root cause using evidence-based workflows. This structured approach identifies exact failure points across development, test, or production environments.

What is the best way to detect data races and memory leaks in Go?

Detecting data races and memory leaks in Go requires a structured troubleshooting workflow utilizing specific debugging tools. The process involves applying methodical error reproduction and tracing to isolate the root cause of the concurrency or memory anomaly.

How do I use pprof to troubleshoot a Go performance regression?

Use pprof to troubleshoot a Go performance regression by following an evidence-based workflow that profiles resource utilization to identify bottlenecks. This structured approach traces performance drops back to their root cause in the application code.

Does this troubleshooting workflow apply to Go build failures and crashes in production?

Yes, this troubleshooting workflow applies to Go build failures and crashes in production environments. It provides structured guidance to methodically reproduce bugs and trace the root cause across development, test, and production contexts.

Why should I use a structured workflow for Go debugging instead of ad-hoc fixes?

A structured Go debugging workflow reduces debugging time and improves code reliability by applying methodical error handling and evidence-based root-cause analysis. It ensures you resolve the underlying problem rather than applying temporary ad-hoc fixes.