Claude Code Plugins

Community-maintained marketplace

Feedback

SQLModel ORM patterns for PostgreSQL database operations. Use when defining database models, creating queries, or managing database connections for the Todo backend.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name sqlmodel
description SQLModel ORM patterns for PostgreSQL database operations. Use when defining database models, creating queries, or managing database connections for the Todo backend.
allowed-tools Read, Edit, Write, Glob, Grep, Bash

SQLModel Skill

Quick Reference

SQLModel is a Python ORM built on top of SQLAlchemy and Pydantic for type-safe database operations.

Basic Model Definition

from sqlmodel import SQLModel, Field, Relationship
from datetime import datetime
from typing import Optional

class Task(SQLModel, table=True):
    """Task model for todo items."""
    id: int | None = Field(default=None, primary_key=True)
    user_id: str = Field(foreign_key="users.id", index=True)
    title: str = Field(min_length=1, max_length=200)
    description: str | None = Field(default=None, max_length=1000)
    completed: bool = Field(default=False)
    created_at: datetime = Field(default_factory=datetime.utcnow)
    updated_at: datetime = Field(default_factory=datetime.utcnow)

Database Connection

from sqlmodel import create_engine, Session

DATABASE_URL = os.getenv(
    "DATABASE_URL",
    "postgresql://user:pass@host.neon.tech/db?sslmode=require"
)

engine = create_engine(
    DATABASE_URL,
    echo=True,
    pool_pre_ping=True,
)

def get_session() -> Session:
    with Session(engine) as session:
        try:
            yield session
        finally:
            session.close()

CRUD Operations

from sqlmodel import Session, select

def create_task(db: Session, title: str, user_id: str) -> Task:
    task = Task(title=title, user_id=user_id)
    db.add(task)
    db.commit()
    db.refresh(task)
    return task

def get_user_tasks(db: Session, user_id: str) -> list[Task]:
    query = select(Task).where(Task.user_id == user_id)
    return list(db.exec(query))

def get_task(db: Session, task_id: int, user_id: str) -> Task | None:
    query = select(Task).where(
        Task.id == task_id,
        Task.user_id == user_id
    )
    return db.exec(query).first()

def update_task(db: Session, task_id: int, user_id: str, **kwargs) -> Task | None:
    task = get_task(db, task_id, user_id)
    if task:
        for key, value in kwargs.items():
            setattr(task, key, value)
        db.commit()
        db.refresh(task)
    return task

def delete_task(db: Session, task_id: int, user_id: str) -> bool:
    task = get_task(db, task_id, user_id)
    if task:
        db.delete(task)
        db.commit()
        return True
    return False

Pydantic Integration

from pydantic import BaseModel, Field

class TaskCreate(BaseModel):
    """Schema for creating a task."""
    title: str = Field(..., min_length=1, max_length=200)
    description: str | None = Field(None, max_length=1000)

    class Config:
        from_attributes = True

class TaskResponse(TaskCreate):
    """Schema for task responses."""
    id: int
    user_id: str
    completed: bool
    created_at: datetime
    updated_at: datetime

    class Config:
        from_attributes = True

Indexes

class Task(SQLModel, table=True):
    user_id: str = Field(foreign_key="users.id", index=True)
    completed: bool = Field(default=False, index=True)
    created_at: datetime = Field(default_factory=datetime.utcnow, index=True)

For Detailed Reference

See REFERENCE.md for:

  • Advanced relationships
  • Complex queries
  • Migrations
  • Performance optimization
  • Testing patterns