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hadi-bugfix

Orchestrate a multi-phase bugfix workflow requiring root cause investigation before implementation.

1|Updated Apr 9, 2026
Search Tags:#workflow#troubleshooting#qa#implementation#root-cause#bugfix
One-click install
npx skills add https://github.com/hadi-technology/phased-workflow --skill hadi-bugfix
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: hadi-bugfix
Source: https://github.com/hadi-technology/phased-workflow/tree/main/skills/hadi-bugfix
Command: npx skills add https://github.com/hadi-technology/phased-workflow --skill hadi-bugfix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the common pitfalls of AI-driven debugging, such as guessing root causes, applying superficial patches, and introducing regressions, by enforcing a rigorous, evidence-first investigation process.

Core Features & Use Cases

  • Root Cause Analysis: Forces a trace-back from symptom to origin before any code is modified.
  • Pattern Compliance: Ensures all fixes adhere to existing codebase conventions, naming, and design tokens.
  • Multi-Layer Validation: Prevents systemic bugs by requiring validation at entry, service, and data layers.
  • Use Case: When a production regression occurs, use this skill to trace the failure through the call chain, verify the fix against existing patterns, and ensure the solution is clean and maintainable.

Quick Start

Trigger the hadi-bugfix workflow to investigate the reported issue and propose a verified solution.

Frequently Asked Questions about hadi-bugfix

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

FAQPage Schema
What is the best way to prevent AI from introducing regressions during production bugfix workflows?▼

Structured bugfix workflows prevent regressions by mandating evidence-based root cause investigation before any code modification, ensuring high code quality and strict pattern adherence. This eliminates superficial patches and guessing.

How do I troubleshoot flaky behavior using a root cause analysis approach?▼

Troubleshooting flaky behavior using root cause analysis requires tracing the symptom back to its exact origin through the call chain before implementation. This multi-layer validation approach verifies fixes at entry, service, and data layers.

When do I need a structured troubleshooting workflow for software engineering tasks?▼

You need a structured troubleshooting workflow for production regressions, flaky behavior, and complex debugging tasks requiring high code quality. It mandates evidence-based reporting and minimal diff principles to ensure maintainable solutions.

How does pattern compliance work when applying a bugfix to an existing codebase?▼

Pattern compliance during a bugfix ensures all code modifications adhere to existing codebase conventions, naming standards, and design tokens. This multi-layer validation prevents systemic bugs by maintaining architectural consistency.

Can I use minimal diff principles for complex troubleshooting and production regressions?▼

Yes, minimal diff principles are strictly required for complex troubleshooting and production regressions. The workflow enforces minimal code changes alongside cleanliness gates to verify solutions without introducing unnecessary modifications.

Why does evidence-based reporting matter for root cause investigation in debugging?▼

Evidence-based reporting matters for root cause investigation because it forces strict adherence to verified findings rather than guesses. This multi-phase process traces failures accurately, preventing superficial patches and recurring systemic bugs.

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