debug-like-expert

Guide structured debugging with evidence gathering and hypothesis testing.

1|1|Updated Jul 4, 2026

Search Tags:#code analysis #debugging #root cause analysis #hypothesis testing #systematic investigation

Ready to run

npx skills add https://github.com/hgflima/loopy --skill debug-like-expert-hgflima

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debug-like-expert
Source: https://github.com/hgflima/loopy/tree/main/.claude/skills/debug-like-expert
Command: npx skills add https://github.com/hgflima/loopy --skill debug-like-expert-hgflima

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive, methodical approach to debugging complex issues, guiding users through systematic investigation and root cause analysis.

Core Features & Use Cases

Deep Analysis Mode: Activates a structured investigation protocol for complex issues.
Domain Expertise: Incorporates domain-specific knowledge from ~/.claude/skills/expertise/ for targeted debugging.
Scientific Debugging: Uses evidence gathering, hypothesis testing, and rigorous verification to pinpoint root causes.

Quick Start

To initiate a deep debug session, run the 'debug-like-expert' skill and follow the interactive prompts.

Frequently Asked Questions about debug-like-expert

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

FAQPage Schema

What is systematic investigation for root cause analysis in complex codebases?▼

Systematic investigation is a structured debugging protocol using evidence gathering and hypothesis testing to pinpoint root causes. It applies scientific methodologies to rigorously verify theories against domain-specific codebase knowledge, avoiding guesswork.

How do I debug complex code problems using hypothesis testing?▼

To debug complex code problems, you gather evidence, form hypotheses, and rigorously verify each one against the system's behavior. This scientific debugging approach ensures you accurately identify and resolve the actual root cause rather than symptoms.

Can I incorporate domain-specific expertise into a structured debugging workflow?▼

Yes, you can incorporate domain-specific expertise by loading targeted knowledge from the environment's expertise directory. This allows the structured debugging protocol to apply specialized context during evidence gathering and hypothesis verification.

What is the best way to approach root cause analysis for difficult system bugs?▼

The best way to approach root cause analysis is using a deep analysis mode that enforces a structured investigation protocol. This method relies on scientific debugging techniques, demanding evidence gathering and rigorous verification over intuitive assumptions.

Do I need a deep understanding of the codebase to perform scientific debugging?▼

Yes, scientific debugging requires a deep understanding of the codebase and debugging techniques. This foundational knowledge is necessary to formulate accurate hypotheses, gather relevant evidence, and rigorously verify root causes during complex investigations.