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sqlmodel-task-models — how to use sqlmodel-task-models how to use sqlmodel-task-models, sqlmodel-task-models setup guide, sqlmodel-task-models vs prisma, sqlmodel-task-models install, what is sqlmodel-task-models, sqlmodel-task-models alternative, sqlmodel-task-models and postgresql, sqlmodel-task-models tutorial, sqlmodel-task-models documentation

v1.0.0
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About this Skill

Ideal for Database Management Agents requiring robust SQLModel task models for Todo applications with Neon PostgreSQL sqlmodel-task-models is a skill providing guidance on defining robust, type-safe, and async-compatible database schemas using SQLModel for Todo applications.

Features

User Model schema aligned with Better Auth requirements
Task Model with full CRUD capability and relational mapping to Users
Relational Integrity for robust database interactions
Compatibility with Better Auth for secure user authentication
Optimized for PostgreSQL using Neon for high performance

# Core Topics

SyedaNabila559 SyedaNabila559
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
33
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add SyedaNabila559/phase2-3-todo-full-web-with-ai-chatbot/sqlmodel-task-models

Agent Capability Analysis

The sqlmodel-task-models MCP Server by SyedaNabila559 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use sqlmodel-task-models, sqlmodel-task-models setup guide, sqlmodel-task-models vs prisma.

Ideal Agent Persona

Ideal for Database Management Agents requiring robust SQLModel task models for Todo applications with Neon PostgreSQL

Core Value

Empowers agents to define type-safe and async-compatible database schemas using SQLModel, ensuring scalability and high performance with relational integrity and compatibility with Better Auth, optimized for PostgreSQL using CRUD capabilities

Capabilities Granted for sqlmodel-task-models MCP Server

Defining robust database schemas for Todo applications
Ensuring relational integrity with User and Task models
Optimizing database performance with Neon PostgreSQL

! Prerequisites & Limits

  • Requires SQLModel and Neon PostgreSQL
  • Designed for Todo applications with Better Auth
Project
SKILL.md
1.9 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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SQLModel Task Models

This skill providing guidance on defining a robust database schema using SQLModel for the Todo application.

Purpose

Defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

Capabilities

  • User Model: Schema aligned with Better Auth requirements.
  • Task Model: Full CRUD capability with relational mapping to Users.
  • Relational Integrity: Proper foreign key constraints and back-references.
  • Performance: Strategic indexing on user_id and completed fields.
  • Safety: Automated timestamp management (created_at, updated_at).

Implementation Details

Models Definition

python
1from sqlmodel import SQLModel, Field, Relationship 2from typing import List, Optional 3from datetime import datetime 4 5class User(SQLModel, table=True): 6 id: str = Field(primary_key=True) 7 email: str = Field(unique=True, index=True) 8 name: Optional[str] = None 9 created_at: datetime = Field(default_factory=datetime.utcnow) 10 tasks: List["Task"] = Relationship(back_populates="user") 11 12class Task(SQLModel, table=True): 13 id: Optional[int] = Field(default=None, primary_key=True) 14 user_id: str = Field(foreign_key="user.id", index=True) 15 title: str 16 description: Optional[str] = None 17 completed: bool = Field(default=False, index=True) 18 created_at: datetime = Field(default_factory=datetime.utcnow) 19 updated_at: datetime = Field(default_factory=datetime.utcnow) 20 user: Optional[User] = Relationship(back_populates="tasks")

Best Practices

  • Using table=True for models that map to database tables.
  • Explicitly defining indexes for fields used in WHERE clauses (e.g., user_id, completed).
  • Using datetime.utcnow for consistent cross-region timestamping.
  • Keeping user_id as a string to match Better Auth's UUID/ID format.

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