pydantic-model-scaffolder

What problem does it solve?

Manually creating Pydantic models for API requests, responses, and database schemas is repetitive and requires careful attention to types, validation, and documentation. This skill automates the process, ensuring consistency and reducing errors.

Core Features & Use Cases

• Automated Model Generation: Scaffolds Pydantic models for various purposes (Request, Response, Database, or All) with fields, types, default values, and descriptions.
• Built-in Validation: Generates boilerplate for field validators, including email format, string length, numeric ranges, and enum validation.
• Documentation & Examples: Includes json_schema_extra for OpenAPI documentation examples, improving API clarity and developer experience.
• Use Case: When defining new API endpoints or database schemas, use this skill to quickly generate robust, type-safe Pydantic models, accelerating backend development and improving data integrity.

Quick Start

Create a Pydantic model for 'NotificationPreferences' with fields like 'email_enabled: bool' and 'frequency: str'.