debugging-protocol

Guide structured root cause investigation through hypothesis testing and evidence gathering.

2|Updated Apr 21, 2025
One-click install
npx skills add https://github.com/akvo/akvo-rag --skill debugging-protocol-akvo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: debugging-protocol
Source: https://github.com/akvo/akvo-rag/tree/main/.agent/skills/debugging-protocol
Command: npx skills add https://github.com/akvo/akvo-rag --skill debugging-protocol-akvo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, hypothesis-driven approach to systematically debug complex software issues, moving beyond ad-hoc troubleshooting to find root causes.

Core Features & Use Cases

  • Formalized Debugging: Enforces a rigorous framework for investigating bugs.
  • Root Cause Analysis: Prioritizes understanding the "why" before implementing fixes.
  • Use Case: When encountering a persistent test failure or unexpected application behavior, engage this Skill to guide the investigation through defined phases of evidence gathering, pattern analysis, and hypothesis testing.

Quick Start

Use the debugging-protocol skill to start a root cause investigation for the current bug.

Frequently Asked Questions about debugging-protocol

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

FAQPage Schema
What is a systematic debugging protocol for complex software issues?

A systematic debugging protocol enforces a structured, hypothesis-driven approach to investigate root causes before implementing fixes. It guides you through evidence gathering, pattern analysis, and hypothesis testing to resolve persistent software bugs.

How do I find the root cause of a persistent test failure?

To find the root cause of a test failure, engage a structured investigation process that prioritizes understanding the why before fixing. Gather evidence, analyze patterns, and test hypotheses systematically rather than applying ad-hoc fixes.

How do I fix a software bug without guessing the solution?

Fix a software bug without guessing by following a strict rule of no fixes without root cause investigation first. Verify your findings against error handling and testing strategies, then implement the fix with minimal testing required.

When should I use a hypothesis-driven troubleshooting approach?

Use a hypothesis-driven troubleshooting approach when encountering complex software issues or unexpected application behavior. It formalizes root cause analysis, ensuring you verify evidence and test patterns before changing code.

Does this debugging method support Docker command compliance?

Yes, this debugging method requires verification against Docker command compliance. It ensures that any root cause investigation and subsequent implementation aligns with your testing strategy and containerized environment rules.

What is the best way to troubleshoot unexpected application behavior?

The best way to troubleshoot unexpected application behavior is using a formalized debugging framework. It moves beyond ad-hoc troubleshooting by enforcing defined phases of evidence gathering, pattern analysis, and hypothesis testing to find root causes.