steroid-diagnose

Guide root cause investigation through error analysis, reproduction, and data flow tracing.

3|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/nzkbuild/steroid-workflow --skill steroid-diagnose
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: steroid-diagnose
Source: https://github.com/nzkbuild/steroid-workflow/tree/main/skills/steroid-diagnose
Command: npx skills add https://github.com/nzkbuild/steroid-workflow --skill steroid-diagnose

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured, systematic approach to debugging and fixing issues in software development, ensuring that root causes are identified before fixes are applied, thereby preventing the introduction of new bugs.

Core Features & Use Cases

  • Root Cause Analysis: Guides users through a 4-phase process to pinpoint the origin of bugs.
  • Targeted Fixes: Ensures that proposed solutions directly address the identified root cause.
  • Use Case: When a critical bug is reported in production, this Skill helps developers methodically trace the error, understand its origin, and formulate a precise fix plan, rather than resorting to quick, potentially unstable patches.

Quick Start

Use the steroid-diagnose skill to debug the current issue.

Frequently Asked Questions about steroid-diagnose

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

FAQPage Schema
What is the best way to find a software bug's root cause before applying fixes?

Root cause analysis enforces a strict, multi-phase debugging process to pinpoint bug origins before fixes are applied, preventing new bugs. It guides you through error analysis, reproduction, change review, and data flow tracing.

How do I systematically debug a critical production error?

Systematic debugging requires a 4-phase process: analyze error messages, consistently reproduce the issue, review recent changes, and trace data flows. This structured approach ensures stability and prevents regressions when fixing critical production errors.

Why should I trace data flows and review recent changes during troubleshooting?

Tracing data flows and reviewing recent changes isolates the true origin of a bug rather than just treating symptoms. This systematic investigation ensures targeted fixes directly address the root cause, preventing unstable patches and regressions.

Can I use a structured debugging process to prevent introducing new bugs?

Yes, a structured debugging process prevents introducing new bugs by enforcing root cause investigation before applying any fixes. This ensures proposed solutions directly address the identified issue rather than resorting to quick, unstable patches.

When do I need a systematic approach for error handling and bug fixing?

You need a systematic approach for bug fixing when a critical bug is reported and quick patches risk instability. It methodically traces the error, understands its origin, and formulates a precise fix plan to ensure software stability.

What are the limitations of quick patches for software bug fixing?

Quick patches lack root cause analysis, making them potentially unstable and prone to introducing regressions. Without a strict investigation process to trace data flows and reproduce errors, quick patches fail to ensure long-term stability.