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Fastapi Templates

Seth HobsonCommunityCreated by Seth Hobson

  • Skill
  • Guidelines
  • Software development
  • MIT
  • Low risk

From the author

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.
— the description by Seth Hobson

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a standardized project structure and implementation patterns for FastAPI applications. It emphasizes high-performance asynchronous programming, utilizing SQLAlchemy 2.0 with async drivers, Pydantic for data validation, and a modular architecture that separates concerns into APIs, services, repositories, and core configurations. It includes best practices for dependency injection, database session management, and testing with pytest-asyncio.

What it does

  • Defines a modular project directory structure for FastAPI applications.
  • Implements asynchronous database interactions using SQLAlchemy 2.0.
  • Provides a repository pattern for clean data access layer management.
  • Configures dependency injection for database sessions and application settings.
  • Includes boilerplate for CORS middleware and application lifespan events.
  • Offers testing patterns using pytest-asyncio and httpx for integration tests.

When to use it

  • When starting a new FastAPI project from scratch.
  • When you need a scalable architecture for a high-performance web service.
  • When implementing asynchronous REST APIs with PostgreSQL or MongoDB.
  • When you want to enforce consistent dependency injection and error handling patterns.

Advantages

  • Promotes clean code through separation of concerns (API, services, repositories).
  • Ensures production-readiness with async-first patterns.
  • Simplifies testing with pre-configured async test fixtures.
  • Reduces setup time for standard backend API requirements.

Usage examples

“How should I structure a new FastAPI project for scalability?”
The skill provides a recommended directory layout separating API routes, business logic, data models, and repositories to ensure maintainability.
“How do I implement an async database session in FastAPI?”
The skill provides a pattern using SQLAlchemy's AsyncSession with a dependency injection function that handles session lifecycle, commits, and rollbacks.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/wshobson/fastapi-templates/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip fastapi-templates.zip -d .agents/skills

Documentation by Seth Hobson

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
│   ├── security.py
│   └── database.py
├── models/                 # Database models
│   ├── user.py
│   └── item.py
├── schemas/                # Pydantic schemas
│   ├── user.py
│   └── item.py
├── services/               # Business logic
│   ├── user_service.py
│   └── auth_service.py
├── repositories/           # Data access
│   ├── user_repository.py
│   └── item_repository.py
└── main.py                 # Application entry
2. Dependency Injection

FastAPI's built-in DI system using Depends:

  • Database session management

  • Authentication/authorization

  • Shared business logic

  • Configuration injection

3. Async Patterns

Proper async/await usage:

  • Async route handlers

  • Async database operations

  • Async background tasks

  • Async middleware

4. Dependencies

The packages the examples import:

# requirements.txt
fastapi
uvicorn[standard]
pydantic-settings
sqlalchemy[asyncio]>=2.0  # DeclarativeBase; [asyncio] installs greenlet for the async engine
asyncpg                   # PostgreSQL driver: postgresql+asyncpg://...
PyJWT
pwdlib[argon2]
python-multipart          # only for a login route that uses OAuth2PasswordRequestForm

# requirements-dev.txt
pytest
pytest-asyncio
httpx
aiosqlite                 # test database: sqlite+aiosqlite:///:memory:

Detailed worked examples and patterns

Detailed sections (starting with ## Implementation Patterns) live in references/details.md. Read that file when the navigation summary above is insufficient.

Testing

# tests/conftest.py
import pytest_asyncio
from httpx import ASGITransport, AsyncClient
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker

from app.main import app
from app.core.database import get_db, Base

TEST_DATABASE_URL = "sqlite+aiosqlite:///:memory:"

# Async fixtures need pytest_asyncio.fixture in pytest-asyncio's default strict mode
@pytest_asyncio.fixture
async def db_session():
    engine = create_async_engine(TEST_DATABASE_URL, echo=True)
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)

    AsyncSessionLocal = sessionmaker(
        engine, class_=AsyncSession, expire_on_commit=False
    )

    async with AsyncSessionLocal() as session:
        yield session
    await engine.dispose()

@pytest_asyncio.fixture
async def client(db_session):
    async def override_get_db():
        yield db_session

    app.dependency_overrides[get_db] = override_get_db

    # httpx 0.28 removed AsyncClient(app=...); use an ASGI transport
    transport = ASGITransport(app=app)
    async with AsyncClient(transport=transport, base_url="http://test") as client:
        yield client
    app.dependency_overrides.clear()

# tests/test_users.py
import pytest

@pytest.mark.asyncio
async def test_create_user(client):
    response = await client.post(
        "/api/v1/users/",
        json={
            "email": "[email protected]",
            "password": "testpass123",
            "name": "Test User"
        }
    )
    assert response.status_code == 201
    data = response.json()
    assert data["email"] == "[email protected]"
    assert "id" in data

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Seth Hobson
Publisher
Seth Hobson (Community)
Source
wshobson/agents · plugins/api-scaffolding/skills/fastapi-templates · commit 4bde316
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Seth Hobson.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download fastapi-templates.zip