Can it handle complex entity relationships?

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

Does it include data validation in the generated code?

Yes, you can specify validation rules in your request, and the skill will include appropriate decorators or constraints (like class-validator for TypeORM) to ensure data integrity.

Can I use this for existing databases?

Absolutely. The skill facilitates both code-to-database and database-to-code workflows, allowing you to generate models from existing schemas.

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 output code ready for production?

The skill generates code following framework-specific best practices and conventions, making it a high-quality starting point that is ready for integration after a standard developer review.

ORM & Database Schema Generator

Name: ORM & Database Schema Generator
Author: intent-solutions-io

byintent-solutions-io

0•

Database Management

Generates production-ready ORM models and database schemas for frameworks like TypeORM, Prisma, and SQLAlchemy using natural language.

This skill streamlines backend development by automating the creation of Object-Relational Mapping (ORM) models and complex database schemas. By interpreting natural language requirements, it produces structured entity code, defines relationships such as one-to-many and many-to-many, and generates migration-ready files for a wide variety of frameworks including TypeORM, Prisma, SQLAlchemy, and Django ORM. Whether you are bootstrapping a new project or converting existing database structures into code, this skill ensures data integrity and follows framework-specific best practices for seamless integration into your application architecture.

Key Features

01Support for major ORMs including TypeORM, Prisma, SQLAlchemy, and Django ORM

02Bi-directional generation (Database-to-code and code-to-schema)

03Framework-specific configuration and migration file generation

04Integration of validation decorators and data type specifications

05Automatic generation of entity relationships and key constraints

060 GitHub stars

Use Cases

01Bootstrapping new backend projects with complex data models from scratch

02Generating database migration scripts from natural language descriptions

03Converting legacy SQL database schemas into modern ORM entity classes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add intent-solutions-io/plugins-nixtla skill-adapter

For use in Claude.ai and ChatGPT

Download Skill