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:

   • string -> str
   • number -> int or float
   • boolean -> bool
   • array -> List[Type]
   • null -> Optional[Type]
   • Nested Objects -> Create a separate sub-class.

3. 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.