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edyruja
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pydantic-models-py

Generate Base, Create, Update, Response, and InDB Pydantic v2 models.

Updated Mar 14, 2026
Search Tags:#pydantic#python#models#orm#code-generation#api-contracts#data-validation
One-click install
npx skills add https://github.com/edyruja/ProiectAIDiodele --skill pydantic-models-py-edyruja
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pydantic-models-py
Source: https://github.com/edyruja/ProiectAIDiodele/tree/main/.agent/skills/pydantic-models-py
Command: npx skills add https://github.com/edyruja/ProiectAIDiodele --skill pydantic-models-py-edyruja

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Streamline API schema design by generating a complete set of Pydantic models (Base, Create, Update, Response, InDB) for Python applications using Pydantic v2.

Core Features & Use Cases

  • Multi-model pattern: Base, Create, Update, Response, InDB for clean contracts
  • Aliases and ORM-ready config: support for camelCase and from_attributes
  • Easy templating: start from a standard template and customize resource names

Quick Start

Copy the template from assets/template.py and replace the placeholders {{ResourceName}} and {{resource_name}} with your actual resource names.

Frequently Asked Questions about pydantic-models-py

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

FAQPage Schema
How do I create multiple Pydantic models for a single API resource?▼

Yes, you can use Pydantic v2 for FastAPI schema design by generating a complete set of models including Base, Create, Update, Response, and InDB. This approach ensures proper field aliases and ORM compatibility for your application.

How do I generate Pydantic models with camelCase aliases for ORM compatibility?▼

To generate Pydantic models for API contracts, copy the standard template, then replace the placeholders {{ResourceName}} and {{resource_name}} with your actual resource names. This instantly provides a complete model set for data validation.

Does this Pydantic model generator support Pydantic v2 features?▼

Yes, this Pydantic model generator supports Pydantic v2 features by applying ORM-ready configurations like from_attributes and proper field aliases. It automates the creation of model variants following the latest Pydantic standards.

What is the best way to structure Pydantic models for FastAPI database schemas?▼

The best way to structure Pydantic models for FastAPI database schemas is using a multi-model pattern. Generating Base, Create, Update, Response, and InDB variants ensures proper field aliases, validation, and ORM compatibility across your application.

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