debug

Trace data and control flow to identify root causes before implementing fixes.

1|Updated Mar 22, 2026

Search Tags:#debugging #investigation #defense-in-depth #trace #instrumentation #phases #root-cause

Ready to run

npx skills add https://github.com/atmigtnca/sidep-ops --skill debug-atmigtnca

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: debug
Source: https://github.com/atmigtnca/sidep-ops/tree/main/skills/debug
Command: npx skills add https://github.com/atmigtnca/sidep-ops --skill debug-atmigtnca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic debugging provides a disciplined approach to identifying the true root cause of bugs, preventing symptom-based fixes that can mask underlying issues.

Core Features & Use Cases

Root-cause tracing across call stacks to locate original triggers and avoid patchwork fixes.
Phase-driven workflow (Root Cause Investigation, Pattern Analysis, Hypothesis & Testing, Implementation) to guide reliable resolutions.
Defense-in-depth instrumentation and data-flow tracing to guard against environmental or data-path edge cases.

Quick Start

Describe a step-by-step plan for applying the four-phase debugging process to a failing issue.

Frequently Asked Questions about debug

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

FAQPage Schema

What is systematic debugging and how does it prevent patchwork fixes?▼

Systematic debugging enforces root-cause investigation before implementing fixes, tracing data and control flow to the original trigger. This disciplined approach prevents symptom-based patches that mask underlying issues.

How do I trace the root cause of a production bug across the call stack?▼

To trace the root cause of a production bug, follow a phased workflow to trace data and control flow back to the original trigger. This method ensures you locate the exact failure point before applying a fix.

Does root-cause debugging work for performance problems and integration issues?▼

Yes, root-cause debugging is applicable to performance problems and integration issues. It uses defense-in-depth instrumentation and data-flow tracing to analyze patterns and guard against environmental edge cases.

What is the best way to debug a failing test without masking the underlying issue?▼

The best way to debug a failing test is to use a four-phase workflow: investigate the root cause, analyze patterns, form testable hypotheses, and implement fixes. This ensures evidence-based decisions and robust guardrails.

How do I verify outcomes after implementing a bug fix?▼

You verify outcomes after implementing a bug fix by completing the final phase of the debugging workflow. This phase ensures your fixes are validated against the original trigger using evidence-based testing and robust guardrails.

When should I use defense-in-depth instrumentation during an investigation?▼

Use defense-in-depth instrumentation during the pattern analysis phase of an investigation to guard against environmental or data-path edge cases. It ensures comprehensive data-flow tracing across the entire control flow.