name: json-to-pydantic
description: Converts JSON data snippets into Python Pydantic data models.

JSON to Pydantic Skill

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

Instructions

1. Analyze the Input: Look at the JSON object provided by the user.
2. Infer Types:
3. string -> str
4. number -> int or float
5. boolean -> bool
6. array -> List[Type]
7. null -> Optional[Type]

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

9. 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.

10. Input: examples/input_data.json

11. 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.