Backend Models Standards

Enforce backend database model standards for ORM classes and schemas.

1|Updated Jun 18, 2025
One-click install
npx skills add https://github.com/knopki/dotfiles --skill backend-models-standards-knopki
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Backend Models Standards
Source: https://github.com/knopki/dotfiles/tree/main/home/private_dot_config/opencode/skills/backend-models-standards
Command: npx skills add https://github.com/knopki/dotfiles --skill backend-models-standards-knopki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating and maintaining consistent, robust, and efficient database models by providing clear guidelines on naming conventions, data integrity, appropriate data types, indexing strategies, and relationship definitions.

Core Features & Use Cases

  • Consistent Naming: Enforces singular PascalCase for models and plural snake_case for tables.
  • Data Integrity: Guides the implementation of database-level constraints (NOT NULL, UNIQUE, CHECK) and model-level validations.
  • Performance Optimization: Recommends indexing strategies for foreign keys and frequently queried columns.
  • Relationship Management: Details how to explicitly define and configure relationships between models.
  • Use Case: When developing a new feature that requires a Product and Category model, use this Skill to ensure they are defined with appropriate fields, relationships, and database constraints, adhering to established best practices.

Quick Start

Use the Backend Models Standards skill to define a new User model with email and password fields, ensuring email uniqueness and proper timestamping.

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 naming conventions for database models and ORM classes?

To enforce naming conventions for database models, use singular PascalCase for model class names and plural snake_case for database table names. This ensures consistent schema definitions and maintainable ORM mappings across your application.

What's the best way to ensure data integrity when defining backend database schemas?

Ensure data integrity in backend database schemas by applying database-level constraints like NOT NULL, UNIQUE, and CHECK, alongside model-level validations. This combination prevents invalid data entry and maintains robust relational consistency.

How do I configure model relationships and indexing strategies for database performance optimization?

Configure model relationships by explicitly defining their types and configurations, and optimize database performance by indexing foreign keys and frequently queried columns. This strategy reduces query latency and ensures efficient data retrieval.

Do I need specific patterns for primary keys and timestamps in ORM data models?

Yes, ORM data models require specific patterns for primary keys and timestamps to ensure robustness and maintainability. Adhering to established standards for these fields guarantees consistent record tracking and reliable audit trails.

When should I apply database constraints versus model-level validations in backend models?

Apply database constraints like UNIQUE and CHECK for fundamental data integrity at the schema level, and use model-level validations for application-specific business rules. Combining both approaches creates a robust defense against invalid data states.