How does it help with performance optimization?

The skill implements connection pooling, configures indexing for frequent queries, and applies eager loading strategies (selectinload/joinedload) to prevent N+1 query problems.

Is the generated code compatible with modern Python typing?

Yes, it strictly follows modern Python type-hinting standards, utilizing Annotated and Optional types compatible with SQLModel and SQLAlchemy 2.0.

Which databases are supported?

It supports all major relational databases compatible with SQLAlchemy, including SQLite for development and PostgreSQL or MySQL for production environments.

Does this skill handle database migrations?

No, this skill focuses on model definition and schema design. For handling migrations and versioning, it is recommended to use Alembic separately.

SQLModel ORM Helper

Name: SQLModel ORM Helper
Author: alijilani-dev

byalijilani-dev

Database Management

Design and implement production-grade database layers using SQLModel with SQLAlchemy 2.0 patterns for FastAPI projects.

About

This skill empowers developers to architect robust, high-performance database management layers using SQLModel and modern SQLAlchemy 2.0 standards. It automates the complexities of schema design, relationship mapping, and connection pooling while ensuring code follows Pythonic type-hinting best practices. Ideal for FastAPI developers, it streamlines the creation of models, session generators, and performance-optimized queries while proactively preventing common ORM anti-patterns like N+1 query issues and resource exhaustion.

Key Features

0 GitHub stars
Production-ready SQLModel model generation with advanced type hints and constraints
Comprehensive relationship mapping including One-to-One, One-to-Many, and Many-to-Many
FastAPI-integrated session management using dependency injection patterns
Optimized database engine configuration with QueuePool and connection health checks
Automated performance tuning through indexing and eager/lazy loading strategies

Use Cases

Architecting the data persistence layer for a new FastAPI web application
Optimizing legacy SQLAlchemy code for better performance and type safety
Designing complex relational schemas with automated timestamping and mixins

About

Key Features

0 GitHub stars
Production-ready SQLModel model generation with advanced type hints and constraints
Comprehensive relationship mapping including One-to-One, One-to-Many, and Many-to-Many
FastAPI-integrated session management using dependency injection patterns
Optimized database engine configuration with QueuePool and connection health checks
Automated performance tuning through indexing and eager/lazy loading strategies

Use Cases

Architecting the data persistence layer for a new FastAPI web application
Optimizing legacy SQLAlchemy code for better performance and type safety
Designing complex relational schemas with automated timestamping and mixins