Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
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Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
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Stars38,174
Forks4,092
LanguagePython
LicenseMIT
📦 Ships with wshobson-agents
</> SKILL.md
fastapi-templates.SKILL.md
---name: fastapi-templates
description: Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
---# FastAPI Project Templates
Production-ready FastAPI project structures with async patterns, dependency injection, middleware, and best practices for building high-performance APIs.
## When to Use This Skill
- Starting new FastAPI projects from scratch
- Implementing async REST APIs with Python
- Building high-performance web services and microservices
- Creating async applications with PostgreSQL, MongoDB
- Setting up API projects with proper structure and testing
## Core Concepts
### 1. Project Structure
**Recommended Layout:**
```
app/
├── api/ # API routes
│ ├── v1/
│ │ ├── endpoints/
│ │ │ ├── users.py
│ │ │ ├── auth.py
│ │ │ └── items.py
│ │ └── router.py
│ └── dependencies.py # Shared dependencies
├── core/ # Core configuration
│ ├── config.py
Detailed sections (starting with `## Implementation Patterns`) live in `references/details.md`. Read that file when the navigation summary above is insufficient.
## Testing
```python
# tests/conftest.py
import pytest
import asyncio
from httpx import AsyncClient
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
