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Backend Models

Define backend data models with validation rules and ORM schemas.

Updated Aug 23, 2026
Search Tags:#database#backend#data integrity#schema#models#ORM#PostgreSQL#relationships
One-click install
npx skills add https://github.com/elliotsaha/smt-slack-app --skill backend-models-elliotsaha
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Backend Models
Source: https://github.com/elliotsaha/smt-slack-app/tree/main/.claude/skills/backend-models
Command: npx skills add https://github.com/elliotsaha/smt-slack-app --skill backend-models-elliotsaha

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents data inconsistencies and complex application logic stemming from poorly defined database models. It automates the application of best practices for model definition, saving development time and ensuring your database schema is robust, scalable, and easy to manage.

Core Features & Use Cases

  • Data Integrity: Enforces constraints, data types, and validation rules.
  • Relationship Management: Defines clear relationships between entities (e.g., one-to-many).
  • ORM Schema Definition: Guides the structuring of database models using ORMs.
  • Use Case: When creating a new Product model, this Skill ensures the AI defines required fields like name and price, sets appropriate data types, adds a foreign key relationship to a Category model, and includes created_at/updated_at timestamps.

Quick Start

When creating the Order model, define its relationship to User and Product models, and ensure created_at and updated_at timestamps are automatically managed.

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 relationships and constraints?▼

Database models should define entities with appropriate data types, foreign key relationships (one-to-many, many-to-many), validation rules, and constraints. Use an ORM like Prisma or Drizzle to structure models in files like schema.prisma or *.model.ts, ensuring type safety and data integrity across related tables.

What fields and timestamps should I include in backend data models?▼

Include required fields with correct data types, foreign keys linking to related entities, and automatically managed timestamps (created_at, updated_at). Add appropriate indexes and cascade behaviors to maintain relational consistency and enable efficient queries across your database schema.

How do I prevent data inconsistencies in my database schema?▼

Enforce data integrity by defining explicit constraints, validation rules, and proper relationships in your ORM schema. Specify cascade behaviors, required fields, and data type restrictions upfront to prevent invalid states and ensure your schema aligns with application requirements.

Can I use this approach with PostgreSQL and ORM tools?▼

Yes. Define your models using ORMs like Prisma or Drizzle that support PostgreSQL, ensuring type-safe entities with enforced constraints, relationships, and validation. Your schema files (schema.prisma or equivalent) become the source of truth for both database structure and application types.

What's the best way to structure relationships between database entities?▼

Explicitly declare relationships in your ORM schema by defining foreign keys, specifying cardinality (one-to-many, many-to-many), and setting cascade behaviors. Clear relationship definitions prevent orphaned records, simplify queries, and keep your data model maintainable as complexity grows.

Why should I define models before writing application logic?▼

Well-defined models enforce data integrity at the database layer, preventing inconsistent states that would otherwise require complex application logic. Upfront schema design with proper constraints and validation reduces bugs, improves performance, and ensures your database scales reliably.

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