What problem does it solve? Random fixes and quick patches waste time, mask underlying issues, and introduce new bugs. This Skill enforces a disciplined debugging methodology that finds root causes instead of treating symptoms, even under time pressure or social pressure to apply quick fixes. ## Core Features & Use Cases - Four-Phase Process: Root cause investigation, pattern analysis, hypothesis testing, and implementation, with mandatory completion of each phase before proceeding. - Supporting Techniques: 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 guidance to question architecture after 3+ failed fixes. - Use Case: A test fails intermittently with a status mismatch. Instead of adding longer sleep delays, follow Phase 1 to reproduce and gather evidence, trace the data flow to the source, form a single hypothesis, and implement one verified fix with a failing test first. ## Quick Start Ask the AI to debug a failing test or production bug using the systematic-debugging skill, starting with root cause investigation before any fix.