What problem does it solve? Existing logical data models drift out of sync with business rules as edge cases, boundary values, ordering, duplication, and concurrency concerns emerge. This Skill stress-tests an existing BDD-annotated RDB logical data model against its corresponding business knowledge documents and writes confirmed findings back into the same canonical document. ## Core Features & Use Cases - QA-Driven Refutation: Applies boundary values, counterexamples, ordering, duplication, concurrency, time, retroactivity, and failure-guarantee perspectives to persistence claims in the existing model. - Same-Path Updates: Guards that revisions are written back to the exact same canonical document path, never creating new or duplicated logical documents. - Structural Validation: Verifies scenario condition matrices, resource/event table classification, time conventions, and append-only event table declarations via deterministic scripts. - Use Case: Given an existing order/cancel/refund logical data model and its business knowledge documents, challenge it with deadline-boundary and double-cancellation scenarios, then update the same document with the confirmed BDD scenarios and revised tables. ## Quick Start Challenge my existing BDD-annotated logical data model at the given path against its business knowledge documents, testing boundary and concurrency scenarios, and update the same document with the confirmed findings.
