What problem does it solve? Domain knowledge often gets scattered across UI code, storage schemas, routes, and tests without an explicit model, causing inconsistent vocabulary, hidden business rules, and fragile implementations. This retired package (preserved for historical reference) provides a structured way to audit existing documentation or run a guided modeling exercise before implementation spreads domain logic. ## Core Features & Use Cases - Audit Mode: Scores project documentation against 13 fixed rubric dimensions (shared language, lifecycle modeling, invariants, boundaries, evidence quality) with a 0-5 scale, severity-tagged findings, and an overall readiness grade. - Exercise Mode: Facilitates a gated discovery interview that produces a Domain Contract covering shared language, concepts, state axes, relationships, rules, workflows, and an evidence register. - Documentation Inventory Script: Runs scripts/collect_domain_docs.py to scan project docs, count domain keywords, and surface heuristic terminology candidates from headings, tables, and JSON schemas. - Use Case: Before building a multi-state workflow feature, run the audit to verify that lifecycles, invariants, and ownership rules are documented well enough to implement safely. ## Quick Start Ask the agent to audit my project's documentation for domain modeling readiness using the 13-dimension rubric and report the highest-priority gaps.
