What database is this optimized for?

While SQLModel supports various SQL engines, this skill includes specific optimizations for PostgreSQL, such as indexing on user_id and completion status.

Does it support asynchronous database operations?

Yes, the models generated using this skill are designed to be async-compatible, allowing for non-blocking database interactions.

Can I add custom fields to these models?

Absolutely. This skill provides a foundational structure that follows best practices, which you can easily extend with additional fields specific to your application's needs.

Is this skill compatible with FastAPI?

Yes, SQLModel is built on top of Pydantic and SQLAlchemy, making it the perfect choice for FastAPI-based web applications.

How does it handle user authentication integration?

The schema is specifically aligned with Better Auth requirements, ensuring the User model matches expected UUID formats and relational structures.

SQLModel Task Modeling

Name: SQLModel Task Modeling
Author: SyedaNabila559

bySyedaNabila559

0•

数据库管理

Generates robust, type-safe SQLModel schemas for task-based applications with PostgreSQL optimization and authentication compatibility.

This skill provides specialized guidance for architecting database schemas using SQLModel, specifically tailored for Todo applications and task management systems. It facilitates the creation of production-ready User and Task models that are fully async-compatible and optimized for PostgreSQL performance. By incorporating strategic indexing on high-traffic fields and ensuring compatibility with Better Auth requirements, this skill helps developers build scalable backends with proper relational integrity and automated timestamp management.

主要功能

01Async-compatible relational mapping and back-references

02Automated created_at and updated_at timestamp management

03Type-safe User and Task model generation

040 GitHub stars

05Strategic PostgreSQL indexing for query optimization

06Better Auth compatible schema alignment

使用场景

01Integrating a SQLModel database layer with Better Auth for secure user management.

02Building a high-performance Python backend for a full-stack Todo application.

03Optimizing PostgreSQL database performance for task-tracking software.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add syedanabila559/phase2-3-todo-full-web-with-ai-chatbot sqlmodel-task-models

For use in Claude.ai and ChatGPT

主要功能

01Async-compatible relational mapping and back-references

02Automated created_at and updated_at timestamp management

03Type-safe User and Task model generation

040 GitHub stars

05Strategic PostgreSQL indexing for query optimization

06Better Auth compatible schema alignment

使用场景

01Integrating a SQLModel database layer with Better Auth for secure user management.

02Building a high-performance Python backend for a full-stack Todo application.

03Optimizing PostgreSQL database performance for task-tracking software.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add syedanabila559/phase2-3-todo-full-web-with-ai-chatbot sqlmodel-task-models

For use in Claude.ai and ChatGPT