What problem does it solve? Designing analytical schemas in MotherDuck often leads to ad-hoc, unreviewable SQL and poorly organized transformations. This Skill structures schema design and data modeling work into a versionable, file-based SQL project with a manifest defining the model DAG. ## Core Features & Use Cases - Project Scaffold Generation: Creates SQL files organized by lifecycle stage (raw, staging, analytics) plus a model_manifest.yml defining dependencies and materialization. - OLAP-First Schema Design: Produces wide denormalized tables, star schemas, and pre-aggregated serving tables with explicit types, NOT NULL constraints, and comments. - Use Case: You have raw HackerNews data loaded in MotherDuck and need staging and analytics layers. The Skill inspects source tables, then generates raw/staging/analytics SQL models with a manifest mapping the dependency DAG, ready to run or hand to dbt. ## Quick Start Design a star schema in MotherDuck for my orders and customers tables, organized as a raw, staging, and analytics SQL project with a model manifest.