Business Model Builder

What problem does it solve?

This Skill helps developers create robust, maintainable Python business models using dataclasses, ensuring clean architecture and clear separation of concerns. It prevents models from becoming bloated with application logic and enforces data integrity at the model level, leading to more predictable and easier-to-manage data structures.

Core Features & Use Cases

• Clean Dataclasses: Generate pure data containers with comprehensive type hints and sensible defaults.
• Derived Properties: Add read-only computed values for convenience without modifying the model's state.
• Model-Level Validation: Implement __post_init__ for enforcing business rules directly within the model's initialization.
• Use Case: Create a Python dataclass for a Customer entity, including fields like id, name, email, address, and registration_date, ensuring proper type hints, default values, and a derived property for full_address.

Quick Start

Generate a Python dataclass for a Product with fields name, sku, price, category, and inventory_count, including type hints and a __post_init__ validation for price and inventory_count.