Backend Models Standards

Standardize database models across ORM projects with constraints and relationships.

Updated Nov 17, 2025
One-click install
npx skills add https://github.com/sulhicmz/malnu-backend --skill backend-models-standards-sulhicmz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Backend Models Standards
Source: https://github.com/sulhicmz/malnu-backend/tree/main/.opencode/skills/maxritter-claude-codepro-backend-models-standards
Command: npx skills add https://github.com/sulhicmz/malnu-backend --skill backend-models-standards-sulhicmz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams enforce consistent data models across the codebase by codifying naming conventions, data types, constraints, and relationships to prevent drift and bugs.

Core Features & Use Cases

  • Standardized model naming: Singular model names and plural tables, with clear relationship naming.
  • Robust constraints and validations: NOT NULL, UNIQUE, CHECK constraints, timestamps, and foreign keys with cascade behavior.
  • Practical examples: When creating or modifying models in ORM projects (e.g., Django, SQLAlchemy, Prisma, Sequelize), use these standards to ensure data integrity.

Quick Start

Define a sample User model that follows the Backend Models Standards, including id, created_at, updated_at, and a few typical fields with constraints.

Frequently Asked Questions about Backend Models Standards

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

FAQPage Schema
How do I enforce data integrity constraints in ORM database models?

You can enforce data integrity by standardizing database models with NOT NULL, UNIQUE, and CHECK constraints alongside primary keys and timestamps. This prevents data drift and ensures relationship consistency across your ORM project.

What is the best way to define foreign key cascade behaviors in SQLAlchemy or Django?

The best way to define foreign key cascade behaviors is by standardizing relationship rules to handle deletions and updates safely. Applying consistent cascade behaviors prevents orphaned records and maintains referential integrity across related ORM models.

Does this database schema validation approach work with Prisma and Sequelize?

Yes, this database schema validation approach works with Prisma and Sequelize, alongside Django, SQLAlchemy, and Rails. It applies standardized naming conventions, data types, and constraints universally across these ORM frameworks to prevent bugs.

How do I standardize naming conventions for database tables and relationships?

Standardizing naming conventions for database tables involves using singular model names and plural table names with clear relationship naming. This codification ensures consistent data models across the codebase and prevents structural drift.

Why do I need model-level validations when my database already has constraints?

Model-level validations are needed alongside database constraints to enforce business logic and prevent invalid data from reaching the database layer. They provide application-level feedback before transactions occur, complementing NOT NULL and UNIQUE constraints.