What problem does it solve? Building database layers with raw SQLAlchemy requires repetitive boilerplate for base models, audit columns, repositories, session wiring, and migrations. This Skill guides the creation of Advanced Alchemy models, repositories, services, and Alembic migrations with correct framework integration. ## Core Features & Use Cases - Model and Base Class Selection: Choose between UUIDAuditBase, UUIDv7AuditBase, BigIntAuditBase, NanoIDAuditBase, and mixins like SlugKey, UniqueMixin, and SentinelMixin. - Repository and Service Layer: Build SQLAlchemyAsyncRepository and SQLAlchemyAsyncRepositoryService classes with lifecycle hooks, match_fields, filters, and OffsetPagination. - Framework Integration: Wire sessions and commit modes into Litestar, FastAPI, Flask, Sanic, or Starlette using the matching extension guide. - Use Case: When adding a new Tag entity to a FastAPI app, generate the model, repository, service with an inner Repo class, wire it via provide_service, and create the Alembic migration. ## Quick Start Ask the AI to create an Advanced Alchemy model, repository, and service for a new entity in your Litestar or FastAPI project.