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Backend Models

Creates and modifies model files with constraints, relationships, and indexing for ORM frameworks.

Updated Aug 23, 2026
Search Tags:#backend#data integrity#schema#ORM#data modeling#Pydantic#SQLAlchemy#database models
One-click install
npx skills add https://github.com/grimmolf/mga-soap-calculator --skill backend-models-grimmolf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Backend Models
Source: https://github.com/grimmolf/mga-soap-calculator/tree/main/.claude/skills/backend-models
Command: npx skills add https://github.com/grimmolf/mga-soap-calculator --skill backend-models-grimmolf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures data integrity, consistency, and proper relationships within the database by guiding the definition of models and ORM classes with correct data types, constraints, and validation logic.

Core Features & Use Cases

  • Data Type & Constraint Definition: Guides on choosing appropriate data types and defining NOT NULL, UNIQUE, CHECK constraints.
  • Relationship Management: Advises on establishing one-to-many, many-to-many, and foreign key relationships.
  • Model-Level Validation: Promotes implementing validation rules before database operations.
  • Use Case: When defining a new Product model, use this skill to ensure all fields have correct data types, necessary constraints (e.g., UNIQUE for SKU), and proper relationships with other models like Category.

Quick Start

Apply the Backend Models skill to define the Order model, including relationships to User and Product models, and add created_at/updated_at timestamps.

Frequently Asked Questions about Backend Models

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

FAQPage Schema
How do I define database models with proper constraints and relationships?▼

Define database models by specifying data types, NOT NULL and UNIQUE constraints, foreign keys, and relationships (one-to-many, many-to-many) using your ORM framework—Django, SQLAlchemy, Prisma, TypeORM, or Sequelize—to ensure data integrity and referential consistency across tables.

What's the best way to structure ORM classes for data validation?▼

Structure ORM classes with model-level validation rules, appropriate data types, CHECK constraints, and DEFAULT values before database operations. Use framework-specific conventions in models.py, models.ts, or schema.prisma to catch inconsistencies early.

How do I set up foreign keys and cascade rules in database schemas?▼

Define foreign key relationships in your ORM model with cascade rules (delete, update behavior) to maintain referential integrity. Specify the relationship type and direction—belongs-to, has-many—matching your framework's syntax.

Can I use schema validation with SQLAlchemy, Prisma, and TypeORM together?▼

Each ORM framework handles schema validation independently through its model definition syntax. Backend Models guidance applies across Django, SQLAlchemy, Prisma, TypeORM, and Sequelize to ensure consistent validation and constraint strategies.

What constraints should I add to prevent database inconsistencies?▼

Add NOT NULL for required fields, UNIQUE constraints for identifiers like SKU, CHECK constraints for valid value ranges, and foreign key constraints with appropriate cascade rules to prevent orphaned records and maintain schema integrity.

Why do I need timestamps and indexing in database models?▼

Timestamps (created_at, updated_at) track record lifecycle for auditing; indexes on foreign keys and frequently queried fields optimize performance. Both are essential ORM model features for maintainable, performant schemas.

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