JSON to Pydantic Skill

This skill helps convert raw JSON data or API responses into structured, strongly-typed Python classes using Pydantic.

Instructions

Analyze the Input: Look at the JSON object provided by the user.

Infer Types:

• string -> str

• number -> int or float

• boolean -> bool

• array -> List[Type]

• null -> Optional[Type]

• Nested Objects -> Create a separate sub-class.

Follow the Example: Review examples/ to see how to structure the output code. notice how nested dictionaries like preferences are extracted into their own class.

• Input: examples/input_data.json

• Output: examples/output_model.py

Style Guidelines

• Use PascalCase for class names.

• Use type hints (List , Optional ) from typing module.

• If a field can be missing or null, default it to None .