Token导航 LogoToken导航TokenDH.com
开发需要联网github未标认证来源可访问许可证需确认审计未展示

python%3afastapiPython 3afastapi 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

190

周安装

8

GitHub Stars

20

下载量

67
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python%3afastapi(Python 3afastapi 测试)
来源仓库:https://github.com/martinffx/atelier
仓库路径:skills/python%3Afastapi
安装命令:
npx skills add https://github.com/martinffx/atelier --skill python:fastapi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/martinffx/atelier --skill python:fastapi

简介

python:fastapi 用于辅助 Python 项目开发、测试和依赖管理。

  • 适合阅读代码、定位测试问题或生成运行脚本,支持 FastAPI 框架。
  • 使用时需确认虚拟环境、依赖版本和测试入口,避免误改生产数据。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • python%3afastapi 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

FastAPI - Modern Python Web APIs

FastAPI is a modern, fast web framework for building APIs with Python, using standard Python type hints. FastAPI automatically validates requests, generates OpenAPI documentation, and provides excellent developer experience.

Quick Start

Basic Application

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI(
    title="My API",
    description="API for my application",
    version="1.0.0",
)

class Item(BaseModel):
    name: str
    price: float

@app.get("/")
def read_root():
    return {"message": "Hello World"}

@app.post("/items", response_model=Item)
def create_item(item: Item):
    return item

Run with:

uvicorn main:app --reload

Core Concepts

Request & Response Models

Use Pydantic models for automatic validation and serialization:

from pydantic import BaseModel, EmailStr, Field

class CreateUserRequest(BaseModel):
    email: EmailStr
    name: str = Field(min_length=1, max_length=100)
    age: int = Field(ge=18, le=120)

class UserResponse(BaseModel):
    id: int
    email: str
    name: str
    model_config = {"from_attributes": True}  # Enable ORM mode

@app.post("/users", response_model=UserResponse)
def create_user(user: CreateUserRequest):
    """Request validated, response serialized automatically"""
    return user

See references/validation.md for detailed validation patterns including custom validators and field constraints.

Routers for Organization

Split routes across routers for clean organization:

# routers/users.py
from fastapi import APIRouter

router = APIRouter(prefix="/users", tags=["users"])

@router.get("/")
def list_users():
    ...

@router.post("/")
def create_user(user: CreateUserRequest):
    ...

# main.py
app.include_router(users.router)

Dependency Injection

FastAPI's core feature for managing dependencies like database sessions and authentication:

from fastapi import Depends
from sqlalchemy.orm import Session

def get_db() -> Session:
    """Database session dependency"""
    db = SessionLocal()
    try:
        yield db
    finally:
        db.close()

@app.get("/users")
def list_users(db: Session = Depends(get_db)):
    """db automatically injected"""
    return db.query(User).all()

See references/dependencies.md for advanced patterns including auth services, scoped dependencies, and dependency classes.

Error Handling

HTTP Exceptions

from fastapi import HTTPException

@app.get("/users/{user_id}")
def get_user(user_id: int):
    user = db.get(user_id)
    if not user:
        raise HTTPException(status_code=404, detail="User not found")
    return user

Custom Exception Handlers

from fastapi import Request
from fastapi.responses import JSONResponse

class BusinessError(Exception):
    def __init__(self, message: str):
        self.message = message

@app.exception_handler(BusinessError)
async def business_error_handler(request: Request, exc: BusinessError):
    return JSONResponse(
        status_code=400,
        content={"error": exc.message},
    )

Project Structure

my-api/
├── main.py                   # FastAPI app
├── routers/                  # Route handlers
│   ├── users.py
│   └── products.py
├── schemas/                  # Pydantic models
│   ├── users.py
│   └── products.py
├── services/                 # Business logic
│   └── users.py
├── repositories/             # Data access
│   └── users.py
└── dependencies.py           # Dependency injection

Reference Materials

Detailed patterns for common scenarios:

  • Validation: references/validation.md - Field constraints, custom validators, model validation
  • Dependencies: references/dependencies.md - Auth services, scoped dependencies, advanced injection patterns
  • Middleware: references/middleware.md - CORS, custom middleware, request/response processing
  • API Design: references/api-design.md - REST naming, pagination, OpenAPI customization, status codes

Best Practices

  1. Use response_model - Always define explicit response schemas
  2. Validate inputs - Use Pydantic models with constraints
  3. Dependency injection - Manage sessions, auth, and cross-cutting concerns
  4. Router organization - Split routes by resource/domain
  5. Error handling - Use HTTP exceptions and custom handlers appropriately
  6. Type hints - FastAPI uses them for both validation and documentation

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.83%
按下载量换算23

Claude

32.93%
按下载量换算22

Cursor

19.29%
按下载量换算13

Gemini CLI

9.33%
按下载量换算6

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills