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Is Pydantic Models Py free to use?

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Who published Pydantic Models Py?

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pydantic Models Py by tomevault-io — Agent Skill

Name: Pydantic Models Py
Author: tomevault-io

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 ... Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

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

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting.

# Check for prior backend/API context before starting
python3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Pydantic Models Py"

Storing Results

After completing work, store backend/API decisions for future sessions:

python3 execution/memory_manager.py store \
  --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \
  --type decision --project <project> \
  --tags pydantic-models-py backend

Multi-Agent Collaboration

Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage.

python3 execution/cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \
  --project <project>

Agent Team: Code Review

After implementation, dispatch code_review_team for two-stage review (spec compliance + code quality) before merging.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: pydantic-models-pydescription: 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 ... Use when this capability is needed.---# Pydantic ModelsCreate Pydantic models following the multi-model pattern for clean API contracts.## Quick StartCopy 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```pythonclass 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```pythonclass MyUpdate(BaseModel): """All fields optional for PATCH requests.""" name: Optional[str] = Field(None, min_length=1) description: Optional[str] = None```## Database Document```pythonclass MyInDB(MyResponse): """Adds doc_type for Cosmos DB queries.""" doc_type: str = "my_resource"```## Integration Steps1. Create models in `src/backend/app/models/`2. Export from `src/backend/app/models/__init__.py`3. Add corresponding TypeScript types## When to UseThis skill is applicable to execute the workflow or actions described in the overview.---## AGI Framework Integration> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)### Memory-First ProtocolRetrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting.```bash# Check for prior backend/API context before startingpython3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Pydantic Models Py"```### Storing ResultsAfter completing work, store backend/API decisions for future sessions:```bashpython3 execution/memory_manager.py store \ --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \ --type decision --project <project> \ --tags pydantic-models-py backend```### Multi-Agent CollaborationShare API contract changes with frontend agents so they update their client code, and with QA agents for test coverage.```bashpython3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \ --project <project>```### Agent Team: Code ReviewAfter implementation, dispatch `code_review_team` for two-stage review (spec compliance + code quality) before merging.---> Converted and distributed by [TomeVault](https://tomevault.io/claim/techwavedev) — claim your Tome and manage your conversions.

Frequently asked questions