Fastapi Expert

This covers FastAPI development from routes and Pydantic models through dependency injection, JWT authentication, and async database operations with SQLAlchemy. You get practical examples for the full stack: OAuth2 security, background tasks, request validation with custom validators, and testing with TestClient. The code samples are production oriented, showing real patterns like database session management and password hashing with bcrypt. Use this when you're building async Python APIs and want type safety with automatic OpenAPI docs. It assumes you know Python but treats FastAPI's dependency injection system and async patterns as first class concerns rather than afterthoughts.

skills.sh installs: 216
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill fastapi-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

FastAPI Expert

Expert guidance for FastAPI - modern, fast Python web framework for building APIs with automatic OpenAPI documentation and type safety.

Core Concepts

FastAPI Features

Fast performance (Starlette + Pydantic)
Automatic OpenAPI/Swagger docs
Type hints and validation
Async/await support
Dependency injection
OAuth2 and JWT
WebSocket support

Key Components

Path operations (routes)
Request/response models (Pydantic)
Dependency injection
Middleware
Background tasks
Testing with TestClient

Basic FastAPI Application

from fastapi import FastAPI, HTTPException, Depends
from pydantic import BaseModel, EmailStr, Field
from typing import List, Optional
import uvicorn

app = FastAPI(
    title="My API",
    description="Production-ready FastAPI",
    version="1.0.0"
)

# Models
class UserCreate(BaseModel):
    email: EmailStr
    name: str = Field(..., min_length=2, max_length=100)
    age: Optional[int] = Field(None, ge=0, le=150)

class UserResponse(BaseModel):
    id: int
    email: str
    name: str

    class Config:
        from_attributes = True

SKILL.md on GitHub