Can I use it for existing database schemas?

Absolutely. It facilitates database-to-code generation, helping you create clean ORM models based on an existing SQL schema.

Which ORM frameworks are supported?

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

Is the generated code ready for production?

The skill generates high-quality, standardized code following best practices, though it should be reviewed to ensure it fits your specific project architecture.

Can it handle complex relationships between entities?

Yes, it can define one-to-one, one-to-many, and many-to-many relationships, including primary and foreign key constraints and join tables.

Does it support data validation?

Yes, the generator includes framework-specific validation decorators and rules based on your specifications to ensure data integrity.

ORM Code Generator

Name: ORM Code Generator
Author: intent-solutions-io

byintent-solutions-io

Database Management

Generates production-ready ORM models and database schemas from natural language descriptions or existing database structures.

About

The ORM Code Generator skill streamlines backend development by automating the creation of Object-Relational Mapping (ORM) entities and database schemas. Whether starting from a conceptual data model or converting an existing database schema into code, this skill handles the heavy lifting for popular frameworks like Prisma, SQLAlchemy, and TypeORM. It ensures consistency, implements validation rules, and defines complex relationships, allowing developers to focus on business logic rather than boilerplate database configuration.

Key Features

Multi-framework support including Prisma, SQLAlchemy, TypeORM, and Django ORM
Natural language processing for defining complex data models and constraints
Bi-directional conversion between database schemas and ORM code
Standardized output compatible with migration tools and modern project structures
0 GitHub stars
Automated generation of entities, relationships, and data validation rules

Use Cases

Creating a SQLAlchemy schema for an e-commerce application in Python
Generating TypeScript TypeORM entities for a blog system with user-post relationships
Developing a Prisma schema from a list of required data fields and constraints

About

Key Features

Multi-framework support including Prisma, SQLAlchemy, TypeORM, and Django ORM
Natural language processing for defining complex data models and constraints
Bi-directional conversion between database schemas and ORM code
Standardized output compatible with migration tools and modern project structures
0 GitHub stars
Automated generation of entities, relationships, and data validation rules

Use Cases

Creating a SQLAlchemy schema for an e-commerce application in Python
Generating TypeScript TypeORM entities for a blog system with user-post relationships
Developing a Prisma schema from a list of required data fields and constraints