How do I trigger the ORM generation process?

Simply ask Claude to 'generate entities,' 'create a database schema,' or mention specific frameworks like 'TypeORM models' or 'SQLAlchemy models'.

Does this skill help with database migrations?

Yes, it can generate the necessary code and configuration files required for creating and managing database migrations.

Which ORM frameworks are supported?

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

Can it handle complex database relationships?

Yes, the skill is designed to define and implement one-to-one, one-to-many, and many-to-many relationships with appropriate foreign key constraints.

ORM Code Generator

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

byintent-solutions-io

Database Management

Generates production-ready ORM models and database schemas across multiple frameworks and languages from natural language descriptions.

About

The ORM Code Generator skill streamlines backend development by automating the creation of Object-Relational Mapping (ORM) entities and database schemas. Whether you are bootstrapping a new project or migrating existing data structures, this skill interprets natural language requirements to produce structured code for frameworks like TypeORM, Prisma, SQLAlchemy, and Django ORM. It handles complex data relationships, validation rules, and primary/foreign key constraints, ensuring that your database layer is consistent, typed, and follows industry best practices.

Key Features

Bi-directional schema-to-code and code-to-schema conversion
Multi-framework support including Prisma, SQLAlchemy, and TypeORM
Natural language to database model generation
Automated relationship mapping and validation logic
Cross-language support for TypeScript, Python, C#, and Java
0 GitHub stars

Use Cases

Rapidly bootstrapping backend entities for a new application
Adding new features by generating models and migrations from high-level descriptions
Converting legacy SQL schemas into modern ORM entity classes

About

Key Features

Bi-directional schema-to-code and code-to-schema conversion
Multi-framework support including Prisma, SQLAlchemy, and TypeORM
Natural language to database model generation
Automated relationship mapping and validation logic
Cross-language support for TypeScript, Python, C#, and Java
0 GitHub stars

Use Cases

Rapidly bootstrapping backend entities for a new application
Adding new features by generating models and migrations from high-level descriptions
Converting legacy SQL schemas into modern ORM entity classes