Skill UI

A rigorous methodology for debugging complex anomalies or incidents when multiple plausible causes exist. It guides the user to enumerate competing, falsifiable hypotheses and prioritizes running the cheapest, most discriminating observation first. By iteratively eliminating hypotheses and preferring the least-assumptive survivor, it systematically localizes the root cause efficiently.

A comprehensive methodology for diagnosing complex systems where problems are emergent across multiple components. It guides the user to map system boundaries, stocks and flows, feedback loops, and underlying structural drivers. By identifying the highest feasible leverage point, it recommends structural interventions that address root causes rather than superficial symptoms.