drizzle-patterns

Drizzle ORM schemas benefit from standardized patterns for table definitions, primary keys, and audit fields. This Skill provides reusable schema patterns including cuid2 primary keys, cascade delete foreign keys, audit timestamps, and soft deletion fields to enforce consistency across your application's database design.

Best practices for Drizzle migrations include explicit relation declarations, standardized migration commands, and consistent patterns for one-to-many and many-to-many relationships. This Skill defines proven patterns for these scenarios to reduce errors and maintain schema integrity across your database evolution.

TypeScript database queries with Drizzle benefit from standardized patterns for common operations like find, insert, and update with relations. This Skill provides example query patterns that work alongside schema definitions to ensure type safety and consistency in your data access layer.

Yes. Drizzle ORM supports soft deletion through dedicated fields and audit tracking via timestamp columns. This Skill enforces these patterns as standard requirements, allowing you to implement compliant soft deletion and maintain audit trails across all tables consistently.

Enum definitions in Drizzle schemas provide type safety and consistency for categorical data. This Skill includes enum patterns as a standard requirement, ensuring your TypeScript types align with database column constraints and reducing validation logic duplication.