Does it generate validation rules?

Yes, the skill can include framework-specific validation decorators and constraints to ensure data integrity within your generated models.

Which ORM frameworks does this skill support?

The skill supports a wide variety of popular frameworks including TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate.

Can I generate models from an existing SQL schema?

Absolutely. This skill supports database-to-code generation, allowing you to transform existing schemas into high-quality ORM code.

Can it handle complex database relationships?

Yes, it automatically maps one-to-one, one-to-many, and many-to-many relationships, including foreign key constraints and junction tables.

Database ORM Generator

Name: Database ORM Generator
Author: BbgnsurfTech

byBbgnsurfTech

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Gestión de Bases de Datos

Generates production-ready ORM models and database schemas across multiple frameworks and programming languages.

Acerca de

The Database ORM Generator skill streamlines backend development by automating the creation of Object-Relational Mapping (ORM) entities and database schemas. Whether you are scaffolding a new project or migrating an existing database, this skill supports a wide array of frameworks—including TypeORM, Prisma, SQLAlchemy, and Sequelize—to generate type-safe models complete with complex relationships, validation decorators, and primary/foreign key constraints.

Características Principales

Support for major ORMs including TypeORM, Prisma, SQLAlchemy, and Django
Bidirectional generation between database schemas and ORM code
Language-specific optimizations for TypeScript, Python, C#, and Java
3 GitHub stars
Automated mapping of one-to-one, one-to-many, and many-to-many relationships
Integration of data validation decorators and integrity constraints

Casos de Uso

Scaffolding a complex backend data model for an e-commerce platform
Converting a legacy SQL schema into modern TypeORM or Prisma entities
Generating SQLAlchemy models with predefined validation rules for Python APIs

Acerca de

Características Principales

Support for major ORMs including TypeORM, Prisma, SQLAlchemy, and Django
Bidirectional generation between database schemas and ORM code
Language-specific optimizations for TypeScript, Python, C#, and Java
3 GitHub stars
Automated mapping of one-to-one, one-to-many, and many-to-many relationships
Integration of data validation decorators and integrity constraints

Casos de Uso

Scaffolding a complex backend data model for an e-commerce platform
Converting a legacy SQL schema into modern TypeORM or Prisma entities
Generating SQLAlchemy models with predefined validation rules for Python APIs