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/fastapi-expert

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by jeffallanjeffallan/claude-skills12k stars
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Use when building high-performance async Python APIs with FastAPI and Pydantic V2. Invoke to create REST endpoints, define Pydantic models, implement authentication flows, set up async SQLAlchemy database operations, add JWT authentication, build WebSocket endpoints, or generate OpenAPI documentation. Trigger terms: FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python.

Use this Skill: https://skilld.dev/gh/jeffallan/claude-skills/fastapi-expert

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referencesasync-sqlalchemy.md

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Async SQLAlchemy

Engine & Session Setup

from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import DeclarativeBase

engine = create_async_engine(
    settings.DATABASE_URL,
    echo=settings.DEBUG,
    pool_pre_ping=True,
)

async_session = async_sessionmaker(
    engine,
    class_=AsyncSession,
    expire_on_commit=False,
)

class Base(DeclarativeBase):
    pass

Model Definition

from sqlalchemy.orm import Mapped, mapped_column, relationship
from sqlalchemy import String, ForeignKey, DateTime, func
from datetime import datetime

class User(Base):
    __tablename__ = "users"

    id: Mapped[int] = mapped_column(primary_key=True)
    email: Mapped[str] = mapped_column(String(255), unique=True, index=True)
    username: Mapped[str] = mapped_column(String(50), unique=True)
    hashed_password: Mapped[str] = mapped_column(String(255))
    is_active: Mapped[bool] = mapped_column(default=True)
    created_at: Mapped[datetime] = mapped_column(DateTime, server_default=func.now())

    # Relationships
    posts: Mapped[list["Post"]] = relationship(back_populates="author", lazy="selectin")

class Post(Base):
    __tablename__ = "posts"

    id: Mapped[int] = mapped_column(primary_key=True)
    title: Mapped[str] = mapped_column(String(200))
    content: Mapped[str]
    author_id: Mapped[int] = mapped_column(ForeignKey("users.id"))

    author: Mapped["User"] = relationship(back_populates="posts")

Database Dependency

from typing import AsyncGenerator
from fastapi import Depends

async def get_db() -> AsyncGenerator[AsyncSession, None]:
    async with async_session() as session:
        try:
            yield session
            await session.commit()
        except Exception:
            await session.rollback()
            raise

# Type alias for injection
DB = Annotated[AsyncSession, Depends(get_db)]

CRUD Operations

from sqlalchemy import select, update, delete
from sqlalchemy.orm import selectinload

async def get_user(db: AsyncSession, user_id: int) -> User | None:
    result = await db.execute(select(User).where(User.id == user_id))
    return result.scalar_one_or_none()

async def get_user_with_posts(db: AsyncSession, user_id: int) -> User | None:
    result = await db.execute(
        select(User)
        .options(selectinload(User.posts))
        .where(User.id == user_id)
    )
    return result.scalar_one_or_none()

async def get_users(db: AsyncSession, skip: int = 0, limit: int = 100) -> list[User]:
    result = await db.execute(select(User).offset(skip).limit(limit))
    return list(result.scalars().all())

async def create_user(db: AsyncSession, user_in: UserCreate) -> User:
    user = User(**user_in.model_dump())
    db.add(user)
    await db.flush()
    await db.refresh(user)
    return user

async def update_user(db: AsyncSession, user_id: int, user_in: UserUpdate) -> User:
    await db.execute(
        update(User)
        .where(User.id == user_id)
        .values(**user_in.model_dump(exclude_unset=True))
    )
    return await get_user(db, user_id)

async def delete_user(db: AsyncSession, user_id: int) -> bool:
    result = await db.execute(delete(User).where(User.id == user_id))
    return result.rowcount > 0

Lifespan Handler

from contextlib import asynccontextmanager
from fastapi import FastAPI

@asynccontextmanager
async def lifespan(app: FastAPI):
    # Startup
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)
    yield
    # Shutdown
    await engine.dispose()

app = FastAPI(lifespan=lifespan)

Quick Reference

Operation Method
Select one result.scalar_one_or_none()
Select many result.scalars().all()
Eager load .options(selectinload(...))
Create db.add(obj) + await db.flush()
Update update(Model).where(...).values(...)
Delete delete(Model).where(...)
Commit await db.commit()
Rollback await db.rollback()

Source: SKILL.md on GitHub

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Signed by skilld at efebc44. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Steadyupdated 5 months ago
Other metadata
metadata
{
  "author": "https://github.com/Jeffallan",
  "version": "1.1.0",
  "domain": "backend",
  "triggers": "FastAPI, Pydantic, async Python, Python API, REST API Python, SQLAlchemy async, JWT authentication, OpenAPI, Swagger Python",
  "role": "specialist",
  "scope": "implementation",
  "output-format": "code",
  "related-skills": "fullstack-guardian, django-expert, test-master"
}
  • Python
  • fastapi
  • pydantic
  • async
  • rest-api
  • sqlalchemy
  • jwt
  • websockets
  • openapi

README badge

README badge for jeffallan/claude-skills/fastapi-expert

Implements async REST APIs, Pydantic V2 schemas, SQLAlchemy database operations, and JWT authentication with FastAPI. Covers endpoint design, dependency injection, validation, async CRUD workflows, and OpenAPI documentation generation.

Generated from the current SKILL.md.

Does this skill work with Pydantic V1?
No. The skill is built for Pydantic V2 syntax only (field_validator, model_validator, model_config). It does not support Pydantic V1 decorators like @validator.
Can I use this skill with synchronous database operations?
No. The skill assumes async/await for all I/O operations and relies on SQLAlchemy async. Mixing sync and async code improperly is explicitly forbidden.
Does this skill cover WebSocket endpoints?
Yes. WebSocket endpoint creation is listed as a core use case, though the SKILL.md does not include a detailed example.
What testing approach does this skill recommend?
The skill recommends pytest with pytest-asyncio and httpx for async testing, with OpenAPI docs verification at /docs as a checkpoint.
Does this skill include database migration tooling?
The skill covers async SQLAlchemy models and references Alembic migrations, but focuses on ORM and CRUD operations rather than migration generation.

Generated from the current SKILL.md. These answers refresh after source changes.