| 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
-
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.