Skillshub json-to-pydantic

Name: json-to-pydantic
Author: ComeOnOliver

JSON to Pydantic Skill

install

source · Clone the upstream repo

git clone https://github.com/ComeOnOliver/skillshub

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/rominirani/antigravity-skills/json-to-pydantic" ~/.claude/skills/comeonoliver-skillshub-json-to-pydantic && rm -rf "$T"

manifest: skills/rominirani/antigravity-skills/json-to-pydantic/SKILL.md

source content

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
```
.