standards-models

Enforces ORM standards for models across Django, SQLAlchemy, Prisma, and ActiveRecord.

1.8k|153|Updated Oct 18, 2025

Search Tags:#database #validation #ORM #constraints #modeling #relationships #naming-conventions

Ready to run

npx skills add https://github.com/maxritter/claude-pilot --skill standards-models

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: standards-models
Source: https://github.com/maxritter/claude-pilot/tree/main/pilot/skills/standards-models
Command: npx skills add https://github.com/maxritter/claude-pilot --skill standards-models

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the problem of inconsistent and unsafe data models by defining rigorous ORM standards that ensure data integrity and maintainability.

Core Features & Use Cases

Enforces naming conventions for models, tables, and relationships to improve readability and consistency.
Specifies required fields, keys, constraints, and validation rules to safeguard data integrity across projects.
Provides guidance on relationships, indexing, normalization vs denormalization, and testing strategies for models.

Quick Start

Provide a new ORM model that includes created_at and updated_at timestamps, a primary key, a foreign key relationship, and basic validation rules.

Frequently Asked Questions about standards-models

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

FAQPage Schema

How do I enforce consistent naming conventions and required fields in ORM models?▼

Defining rigorous ORM standards enforces consistent naming conventions and required fields like created_at and updated_at, ensuring data integrity and maintainability across Django, SQLAlchemy, Prisma, and ActiveRecord projects.

What are the best practices for defining foreign key cascade behavior and database constraints?▼

Best practices for database constraints involve specifying explicit foreign key cascade behavior, applying model-level and database constraints, and defining indexing strategies to ensure safe relationships and robust data normalization across ORM frameworks.

Does this ORM modeling approach work with Django, SQLAlchemy, Prisma, and ActiveRecord?▼

Yes, this ORM modeling approach works with Django, SQLAlchemy, Prisma, and ActiveRecord by applying universal standards for relationships, indexing, database constraints, and validation rules across all these frameworks.

How do I set up a new ORM model with proper validation rules and timestamps?▼

To set up a new ORM model with proper validation, define required created_at and updated_at timestamps, establish a primary key, configure a foreign key relationship, and implement basic validation rules to ensure data integrity.

When should I normalize versus denormalize data relationships in database modeling?▼

You should normalize versus denormalize data relationships in database modeling based on specific query performance needs, using ORM standards guidance to balance data integrity with indexing strategies and application scale requirements.