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avad-debug

Guide software debugging through five structured root-cause analysis phases.

Updated Mar 18, 2026
Search Tags:#debugging#investigation#verification#code-quality#hypothesis#root-cause#incident-response
One-click install
npx skills add https://github.com/agwacom/avadbot --skill avad-debug
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: avad-debug
Source: https://github.com/agwacom/avadbot/tree/main/skills/avad-debug
Command: npx skills add https://github.com/agwacom/avadbot --skill avad-debug

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging with a formal root-cause framework reduces guesswork and accelerates reliable fixes by enforcing a structured, phased approach.

Core Features & Use Cases

  • Phase 1: Root Cause Investigation — collect symptoms, reproduce the bug, and trace the code path.
  • Phase 2: Pattern Analysis — identify problem patterns like race conditions, nil/null propagation, or integration failures.
  • Phase 3: Hypothesis Testing — generate evidence-backed hypotheses and validate them with lightweight checks.
  • Phase 4: Implementation — fix the root cause with minimal changes and add regression tests.
  • Phase 5: Verification & Report — reproduce the original scenario and deliver a structured debug report.
  • Scope Lock considerations — optional boundary controls to prevent scope creep during debugging sessions.
  • Use Case: Incident response, bug triage, and post-mortem debugging across languages and stacks.

Quick Start

Begin a debugging session by collecting symptoms, reproducing the bug, and then proceed through the five phases to identify the root cause before implementing a fix.

Frequently Asked Questions about avad-debug

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

FAQPage Schema
How do I find the root cause of a software bug during an incident response?▼

Structured root-cause debugging reduces guesswork during incident response by enforcing a five-phase framework: symptom collection, pattern analysis, hypothesis testing, implementation, and verification. This systematic approach accelerates reliable fixes across projects and teams.

What is the best way to structure hypotheses during code investigation?▼

Hypothesis testing during code investigation generates evidence-backed explanations for software bugs and validates them with lightweight checks. This enforces evidence-based testing rather than guesswork, ensuring that proposed fixes address the actual root cause before implementation.

How do I prevent scope creep when debugging complex integration failures?▼

Scope lock considerations provide optional boundary controls to prevent scope creep during debugging sessions. They constrain the investigation to the identified problem patterns, such as integration failures or race conditions, keeping the root-cause analysis focused and effective.

Does systematic root-cause debugging work across different programming languages and tech stacks?▼

Root-cause debugging is applicable to debugging across projects, languages, and teams. It guides a phased framework from symptom collection to verification, ensuring the structured approach effectively identifies problem patterns regardless of the specific technology stack involved.

How do I verify a bug fix addresses the real problem without introducing regressions?▼

Verification and reporting reproduce the original bug scenario and deliver a structured debug report after implementing minimal changes. This final phase ensures the fix resolves the root cause and includes adding regression tests to prevent future occurrences.

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