What problem does it solve? Writing and maintaining database documentation by hand is slow and quickly drifts out of sync with the actual schema. This Skill extracts the real schema from your project's source of truth and produces a complete, standardized data-model documentation set. ## Core Features & Use Cases - Stack-agnostic schema extraction: Reads the source of truth from Prisma, SQLAlchemy/Alembic, Django ORM, TypeORM, Drizzle, Sequelize, raw SQL/DDL, or a live database connection. - Standardized layout: Creates docs/data-model/ with an index, a table reference, one article per table (columns, indexes, constraints, relations), plus ER and flow diagrams rendered via Mermaid. - Planned workflow: Classifies tables into primary and auxiliary groups by domain, agrees the plan with the architect before writing, and bootstraps a docs index even in nearly empty projects. - Use Case: Point it at a Prisma project and get a full docs/data-model/ tree with 14 per-table articles, a rendered ER diagram, and cross-links from your architecture docs. ## Quick Start Ask the AI to document the database structure of this project using the db-docs skill, starting from the ORM schema or migrations.