What problem does it solve? Random fixes and quick patches waste time, mask underlying issues, and introduce new bugs. This Skill enforces a disciplined root-cause investigation process so every fix addresses the actual source of a problem instead of its symptoms. ## Core Features & Use Cases - Four-Phase Debugging Process: Enforces root-cause investigation, pattern analysis, hypothesis testing, and verified implementation in strict order. - 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. - Pollution Bisection Script: Ships a bash script that runs tests one-by-one to identify which test creates unwanted files or state. - Use Case: When a CI build fails or a test suite is flaky, apply the process to gather evidence at each component boundary, form a single hypothesis, and verify a minimal fix with a failing test first. ## Quick Start Ask the AI to systematically debug your failing test or bug by finding the root cause before proposing any fix.