systematic-debugging

Diagnose bugs through a four-phase root cause investigation process before proposing fixes.

Updated May 8, 2026
One-click install
npx skills add https://github.com/tomw200082-collab/gt-factory-os-production-brain --skill systematic-debugging-tomw200082-collab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: systematic-debugging
Source: https://github.com/tomw200082-collab/gt-factory-os-production-brain/tree/main/.claude/skills/systematic-debugging
Command: npx skills add https://github.com/tomw200082-collab/gt-factory-os-production-brain --skill systematic-debugging-tomw200082-collab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? Developers under time pressure often apply quick symptom fixes that fail repeatedly, causing hours of guess-and-check thrashing. This Skill enforces a disciplined four-phase debugging methodology that finds the actual root cause before any fix is attempted. ## Core Features & Use Cases - Four-Phase Process: Root cause investigation, pattern analysis, hypothesis testing, and verified implementation, with mandatory completion of each phase before proceeding. - Supporting Techniques: Includes root-cause tracing through call stacks, defense-in-depth validation at multiple layers, and condition-based waiting to replace flaky arbitrary timeouts in tests. - Pressure Resistance: Explicit anti-patterns, red flags, and rationalization tables that stop shortcut fixes during emergencies, plus a rule to question the architecture after three failed fixes. - Use Case: When a production test fails intermittently, use this Skill to trace the failure back through the call chain, form a single hypothesis, create a failing test, and fix the source rather than adding another sleep timeout. ## Quick Start Use the systematic-debugging skill to investigate this failing test and find its root cause before suggesting any fix.

Frequently Asked Questions about systematic-debugging

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

FAQPage Schema
How do I find the root cause of a bug instead of fixing symptoms?▼

Follow a four-phase process: investigate the root cause by reading errors and reproducing the issue, analyze patterns against working examples, form and test a single hypothesis, then implement one verified fix. Never propose fixes before completing the investigation phase.

How to fix flaky tests caused by arbitrary timeouts?▼

Replace setTimeout and sleep calls with condition-based waiting that polls for the actual condition you need, such as an event appearing or state changing. Poll every 10ms with a clear timeout error, which eliminates race conditions and typically speeds up test execution.

What should I do when multiple fix attempts keep failing?▼

Stop after three failed fixes and question the architecture rather than attempting a fourth fix. Repeated failures where each fix reveals new problems elsewhere indicate a fundamentally wrong pattern, so discuss architectural changes before continuing.

How do I trace a bug that appears deep in the call stack?▼

Trace backward from the immediate cause by asking what called each function and what values were passed, continuing until you find the original trigger. Add stack trace instrumentation with console.error before the failing operation when manual tracing is not possible.

When is it acceptable to skip systematic debugging for simple bugs?▼

Never. Simple bugs have root causes too, and the systematic process is fast for simple issues. Skipping investigation under time pressure leads to symptom fixes that guarantee rework and repeated failures.

How do I find which test is polluting shared state or files?▼

Use the find-polluter.sh bisection script, which runs each test file individually and checks whether the unwanted file or state appears. It stops at the first polluting test and reports the file for investigation.