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debug-loop

Guide hypothesis-driven debugging with real data and shell commands.

Updated Jun 15, 2026
Search Tags:#software development#systematic debugging#hypothesis-driven#bug elimination#real data analysis
One-click install
npx skills add https://github.com/CENKSSS/valocase-backend --skill debug-loop-cenksss
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: debug-loop
Source: https://github.com/CENKSSS/valocase-backend/tree/main/.claude/skills/debug-loop
Command: npx skills add https://github.com/CENKSSS/valocase-backend --skill debug-loop-cenksss

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users systematically eliminate bugs by guiding them through a structured debugging process that uses real data and hypothesis-driven investigation.

Core Features & Use Cases

  • Hypothesis-Driven Debugging: Provides a step-by-step process to form and test hypotheses about the root cause of a bug.
  • Real Data Usage: Ensures that debugging commands use real data, avoiding guesswork.
  • Automated Commands: Generates shell commands to automate and validate hypotheses.
  • Use Case: For example, when a database query returns incorrect results, this Skill can guide you through identifying and fixing the issue by checking table versions, dependency versions, and hardcoded values.

Quick Start

Use the debug-loop skill to begin debugging a failing test with the command 'debug-loop <symptom>'.

Frequently Asked Questions about debug-loop

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

FAQPage Schema
What is hypothesis-driven debugging and how does it eliminate guesswork?▼

Hypothesis-driven debugging is a structured process of forming and testing potential root causes using real data. It eliminates guesswork by requiring systematic validation of hypotheses through automated commands before applying any fixes.

How do I debug a failing database query returning incorrect results?▼

To debug a failing database query, you guide a structured process checking real data like table versions, dependency versions, and hardcoded values. This systematic elimination isolates the exact root cause without guesswork.

Can I use this systematic debugging approach without making code changes initially?▼

Yes, you can use this systematic debugging approach without making code changes initially. It requires no code modifications until the root cause is confirmed, ensuring minimal disruption to your software development workflow.

What's the best way to automate hypothesis testing during software debugging?▼

The best way to automate hypothesis testing is by generating shell commands that validate potential root causes against real data. This structured approach systematically eliminates incorrect possibilities until the true bug is identified.

When should I use a structured debugging process instead of manual inspection?▼

You should use a structured debugging process when facing complex bugs that resist manual inspection. It enforces real data analysis and systematic elimination of possible causes, preventing the disruption of unnecessary code changes.

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