Agent skill
pydantic-models-py
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/pydantic-models-py-coralshades-currydash-central-hu
SKILL.md
Pydantic Models
Create Pydantic models following the multi-model pattern for clean API contracts.
Quick Start
Copy the template from assets/template.py and replace placeholders:
{{ResourceName}}→ PascalCase name (e.g.,Project){{resource_name}}→ snake_case name (e.g.,project)
Multi-Model Pattern
| Model | Purpose |
|---|---|
Base |
Common fields shared across models |
Create |
Request body for creation (required fields) |
Update |
Request body for updates (all optional) |
Response |
API response with all fields |
InDB |
Database document with doc_type |
camelCase Aliases
class MyModel(BaseModel):
workspace_id: str = Field(..., alias="workspaceId")
created_at: datetime = Field(..., alias="createdAt")
class Config:
populate_by_name = True # Accept both snake_case and camelCase
Optional Update Fields
class MyUpdate(BaseModel):
"""All fields optional for PATCH requests."""
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = None
Database Document
class MyInDB(MyResponse):
"""Adds doc_type for Cosmos DB queries."""
doc_type: str = "my_resource"
Integration Steps
- Create models in
src/backend/app/models/ - Export from
src/backend/app/models/__init__.py - Add corresponding TypeScript types
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