From antigravity-awesome-skills
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 ...
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Create Pydantic models following the multi-model pattern for clean API contracts.
Verifies tests pass on completed feature branch, presents options to merge locally, create GitHub PR, keep as-is or discard; executes choice and cleans up worktree.
Guides root cause investigation for bugs, test failures, unexpected behavior, performance issues, and build failures before proposing fixes.
Writes implementation plans from specs for multi-step tasks, mapping files and breaking into TDD bite-sized steps before coding.
Create Pydantic models following the multi-model pattern for clean API contracts.
Copy the template from assets/template.py and replace placeholders:
{{ResourceName}} → PascalCase name (e.g., Project){{resource_name}} → snake_case name (e.g., project)| 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 |
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
class MyUpdate(BaseModel):
"""All fields optional for PATCH requests."""
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = None
class MyInDB(MyResponse):
"""Adds doc_type for Cosmos DB queries."""
doc_type: str = "my_resource"
src/backend/app/models/src/backend/app/models/__init__.pyThis skill is applicable to execute the workflow or actions described in the overview.