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debug-like-expert

Guide structured, evidence-based debugging with hypothesis testing and minimal fixes.

Updated Aug 23, 2026
Search Tags:#debugging#investigation#verification#evidence#root-cause#experiments
One-click install
npx skills add https://github.com/saxjax/saxjaxTuner --skill debug-like-expert-saxjax
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-like-expert
Source: https://github.com/saxjax/saxjaxTuner/tree/main/.claude/skills/debug-like-expert
Command: npx skills add https://github.com/saxjax/saxjaxTuner --skill debug-like-expert-saxjax

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a disciplined, evidence-based approach to debugging, enabling engineers to systematically uncover root causes rather than applying ad-hoc fixes.

Core Features & Use Cases

  • Methodical investigation protocols: evidence gathering, hypothesis testing, and rigorous verification.
  • Domain-expertise awareness: loads contextual knowledge when relevant to accelerate diagnosis.
  • Guardrails for safe changes: emphasizes minimal changes and thorough validation to avoid regressions.

Quick Start

Describe the issue you're seeing and I will guide you through a structured investigation.

Frequently Asked Questions about debug-like-expert

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

FAQPage Schema
How do I debug intermittent failures in a multi-module codebase?▼

Intermittent failures in a multi-module codebase require methodical, evidence-based debugging. You gather evidence, test falsifiable hypotheses, and apply rigorous verification workflows to systematically uncover the root cause rather than applying ad-hoc fixes.

What is the best way to perform root-cause analysis for complex software issues?▼

Root-cause analysis for complex software issues is best performed through structured investigation protocols. This approach enforces experiment design, hypothesis testing, and rigorous verification to isolate the true source of the problem.

How do I use hypothesis testing to investigate software bugs?▼

Hypothesis testing for software bugs involves designing specific experiments to validate or falsify potential causes. This skill guides you through a structured investigation, ensuring each hypothesis is backed by evidence before applying minimal-change fixes.

Can I use this evidence-driven debugging approach for multi-module codebases?▼

Yes, this evidence-driven debugging approach is specifically designed for multi-module codebases. It applies domain-expertise awareness and structured verification workflows to safely diagnose and resolve complex cross-module failures.

How do I ensure my bug fixes do not introduce regressions?▼

To prevent regressions, this debugging method emphasizes minimal-change fixes and thorough validation. By enforcing structured verification workflows, it ensures that changes are safe and thoroughly validated before completion.

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