概要
The Systematic Debugging skill transforms the troubleshooting process into a scientific methodology, moving away from guess-and-check patches toward deep root cause investigation. It guides the AI through four distinct phases—investigation, pattern analysis, hypothesis testing, and implementation—ensuring that every fix is backed by evidence and verified by a failing test case. This skill is essential for resolving complex regressions, multi-component failures, and architectural issues where surface-level symptoms often mask deeper logic flaws.
