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Pydantic models py

Skill microsoft/skills/.github/plugins/azure-sdk-python/skills/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.From its SKILL.md

Install
npx -y skills add microsoft/skills --skill pydantic-models-py

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SKILL.md

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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

ModelPurpose
BaseCommon fields shared across models
CreateRequest body for creation (required fields)
UpdateRequest body for updates (all optional)
ResponseAPI response with all fields
InDBDatabase document with doc_type

camelCase Aliases

from datetime import datetime

from pydantic import BaseModel, ConfigDict, Field

class MyModel(BaseModel):
    model_config = ConfigDict(populate_by_name=True)

    workspace_id: str = Field(..., alias="workspaceId")
    created_at: datetime = Field(..., alias="createdAt")

Optional Update Fields

class MyUpdate(BaseModel):
    model_config = ConfigDict(populate_by_name=True)

    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

class MyInDB(MyResponse):
    doc_type: str = "my_resource"

Integration Steps

  1. Create models in src/backend/app/models/
  2. Export from src/backend/app/models/__init__.py
  3. Add corresponding TypeScript types

Reference Files

FileContents
references/capabilities.mdAdditional non-hero capabilities, operation-group coverage, and production checklists.

What ships with it: 2 files

2.6 KB alongside SKILL.md, 1 of them executable

assets/

references/

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