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debug-core

Diagnose software bugs through evidence gathering and root cause analysis.

Updated Dec 31, 2025
Search Tags:#debugging#problem solving#troubleshooting#software development#root cause analysis#bug fixing
One-click install
npx skills add https://github.com/victorzhuk/go-ent --skill debug-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-core
Source: https://github.com/victorzhuk/go-ent/tree/main/pkg/skills/core/debug-core
Command: npx skills add https://github.com/victorzhuk/go-ent --skill debug-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured methodology for diagnosing and resolving software bugs, ensuring thorough investigation and evidence-based solutions.

Core Features & Use Cases

  • Systematic Investigation: Guides users through a step-by-step debugging process.
  • Evidence Gathering: Emphasizes collecting logs, commands, and code inspection results.
  • Root Cause Analysis: Utilizes techniques like 5 Whys to find the fundamental issue.
  • Use Case: When an API is intermittently timing out, this Skill will help you systematically gather logs, test hypotheses about network issues or resource contention, and pinpoint the exact cause before suggesting a fix.

Quick Start

Use the debug-core skill to troubleshoot an intermittent API timeout issue.

Frequently Asked Questions about debug-core

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

FAQPage Schema
How do I debug an intermittent API timeout issue systematically?▼

Systematic debugging for intermittent API timeouts involves gathering logs and inspecting code as evidence, then testing hypotheses about network or resource contention to pinpoint the exact root cause before applying a fix.

What is the best way to find the root cause of unreproducible bugs?▼

Root cause analysis for unreproducible bugs applies the 5 Whys methodology, relying on evidence gathering and hypothesis testing to identify the fundamental issue despite inconsistent reproduction.

How do I troubleshoot race conditions and production-specific software failures?▼

Troubleshooting race conditions and production-specific failures requires systematic evidence gathering and hypothesis testing under constraints, addressing edge cases to effectively isolate the root cause in live environments.

Does this debugging methodology work for software development troubleshooting at scale?▼

This debugging methodology supports software development troubleshooting at scale, providing a structured, step-by-step process for diagnosing issues from intermittent failures to complex resource contention.

When should I use a systematic debugging process instead of trial and error?▼

Use a systematic debugging process instead of trial and error for complex issues like intermittent failures or race conditions, ensuring evidence-based investigation and thorough root cause analysis.

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