pydantic-models-py
Create Pydantic models following the multi-model pattern for clean API contracts.
Best use case
pydantic-models-py is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Create Pydantic models following the multi-model pattern for clean API contracts.
Teams using pydantic-models-py should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pydantic-models-py/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pydantic-models-py Compares
| Feature / Agent | pydantic-models-py | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Create Pydantic models following the multi-model pattern for clean API contracts.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```python
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
```python
class MyUpdate(BaseModel):
"""All fields optional for PATCH requests."""
name: Optional[str] = Field(None, min_length=1)
description: Optional[str] = None
```
## Database Document
```python
class MyInDB(MyResponse):
"""Adds doc_type for Cosmos DB queries."""
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
## When to Use
This skill is applicable to execute the workflow or actions described in the overview.
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.Related Skills
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