What problem does it solve? Setting up a new namespace (swimlane) in a multi-tenant, service-based Python system requires creating many interlocking files—manager interfaces, storage implementations for Postgres and memory, and wiring into both roots—which is repetitive and error-prone when done by hand. ## Core Features & Use Cases - Namespace Scaffolding: Creates the full namespace directory structure under om/src/<root>/om/<ns>/, including manager interface, types, impl, storage interfaces, Postgres and memory implementations, and a README. - Root Wiring: Updates the storage root and manager root with new getters, constructor wiring, and unit test assertions. - Entity Delegation: When a first entity is named, forwards entity arguments, role, and scope to the entity scaffold skill so the namespace reaches the API with routes. - Use Case: Run the skill with inventory Warehouse address:str timezone:str to create a complete inventory namespace with a Warehouse entity, storage in Postgres and memory, and all root wiring in one pass. ## Quick Start Ask the AI to scaffold a new namespace named inventory with a Warehouse entity having address and timezone string fields.