json-to-pydantic（JSON TO pydantic 命令行）

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.

1. 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.