sqlmodel

Name: sqlmodel
Availability: InStock
Author: salmanferozkhan

Automate SQLModel data modeling and FastAPI integration with CRUD operations and Alembic migrations.

Updated Dec 30, 2025

Search Tags:#database #pydantic #fastapi #sqlmodel #orm #sqlalchemy

Ready to run

npx skills add https://github.com/Salmanferozkhan/Cloud-and-fast-api --skill sqlmodel-salmanferozkhan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sqlmodel
Source: https://github.com/Salmanferozkhan/Cloud-and-fast-api/tree/main/.claude/skills/sqlmodel
Command: npx skills add https://github.com/Salmanferozkhan/Cloud-and-fast-api --skill sqlmodel-salmanferozkhan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

SQLModel enables a single source of truth for ORM models and API schemas, simplifying data modeling and eliminating boilerplate across FastAPI projects.

Core Features & Use Cases

Unified models that act as both SQLAlchemy ORM and Pydantic schemas.
Simplified FastAPI integration with async sessions and CRUD operations.
Support for relationships (one-to-many, many-to-many) and migrations with Alembic.
Use Case: Rapidly scaffold end-to-end APIs with type-safe models and automatic documentation.

Quick Start

Install SQLModel, create a minimal model with relationships, and scaffold a FastAPI route to perform CRUD operations.

Frequently Asked Questions about sqlmodel

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I unify SQLAlchemy ORM models and Pydantic schemas in a FastAPI project?▼

SQLModel unifies SQLAlchemy ORM models and Pydantic schemas into a single source of truth for FastAPI projects. This eliminates boilerplate by allowing one model definition to serve both database operations and API data validation.

What is the best way to set up async database sessions with SQLModel for CRUD operations?▼

Setting up async database sessions with SQLModel involves integrating FastAPI routes with async session handlers to execute CRUD operations. This approach supports type-safe models and automatic API documentation across small to large codebases.

Does SQLModel support defining one-to-many and many-to-many relationships for database models?▼

SQLModel supports defining one-to-many and many-to-many relationships within your data models. You can create minimal models with these relationships to structure relational data effectively before scaffolding FastAPI routes.

Can I use Alembic database migrations with FastAPI and SQLModel?▼

Alembic database migrations work with FastAPI and SQLModel to manage schema changes across large codebases. You apply Alembic to generate and run migrations after creating your unified SQLModel definitions.

When should I not use a unified ORM and API schema approach for my API?▼

Avoid a unified ORM and API schema approach when your API validation requirements drastically diverge from your database structure. If your endpoints need highly distinct data transformations, separating Pydantic schemas from SQLAlchemy models reduces model coupling.

How do I rapidly scaffold end-to-end APIs with type-safe models and automatic documentation?▼

Rapidly scaffold end-to-end APIs by installing SQLModel, creating minimal models with relationships, and building FastAPI routes for CRUD operations. This yields type-safe models and automatic documentation without separate schema boilerplate.