Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.
npx skills add https://github.com/majiayu000/spellbook --skill python-project
src/ directory> Delete unused code. Change directly. No compatibility layers.
# ❌ BAD: Deprecated decorator kept around
import warnings
def old_function():
warnings.warn("Use new_function instead", DeprecationWarning)
return new_function()
# ❌ BAD: Alias for renamed functions
new_name = old_name # "for backwards compatibility"
# ❌ BAD: Unused parameters with underscore
def process(_legacy_param, data):
...
# ❌ BAD: Version checking for old behavior
if version < "2.0":
# old behavior
...
# ✅ GOOD: Just delete and update all usages
def new_function():
...
# Then: Find & replace all old_function → new_function
# ✅ GOOD: Remove unused parameters entirely
def process(data):
...
> Use LiteLLM proxy. Don't call provider APIs directly.
# src/myapp/llm.py
from openai import AsyncOpenAI
from myapp.config import settings
# Connect to LiteLLM proxy using OpenAI SDK
client = AsyncOpenAI(
base_url=settings.litellm_url, # "http://localhost:4000"
api_key=settings.litellm_api_key,
)
async def complete(prompt: str, model: str = "gpt-4o") -> str:
"""Call any LLM through LiteLLM proxy."""
response = await client.chat.completions.create(
model=model, # "gpt-4o", "claude-3-opus", "gemini-pro", etc.
messages=[{"role": "user", "content": prompt}],
)
return response.choices[0].message.content or ""
# Install uv (if not installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Create new project
uv init myapp
cd myapp
# Set Python version
echo "3.12" > .python-version
# Add dependencies
uv add fastapi uvicorn pydantic sqlalchemy httpx
uv add --dev pytest pytest-asyncio ruff mypy
| Layer | Recommendation |
|-------|----------------|
| Package Manager | uv |
| Linting + Format | Ruff |
| Type Checking | mypy |
| Validation | Pydantic v2 |
| Web Framework | FastAPI |
| Database | SQLAlchemy 2.0 + asyncpg |
| HTTP Client | httpx |
| Testing | pytest + pytest-asyncio |
| Logging | structlog |
> Always use latest. Never pin in templates.
[project]
dependencies = [
"fastapi", # uv resolves to latest
"pydantic",
"sqlalchemy",
]
uv add fetches latest compatible versionsuv.lock ensures reproducible buildsuv sync installs exact locked versionsmyapp/
├── pyproject.toml # Single config file
├── uv.lock # Lock file (commit this)
├── .python-version # Python version for uv
├── src/
│ └── myapp/
│ ├── __init__.py
│ ├── __main__.py # Entry point
│ ├── main.py # FastAPI app
│ ├── config.py # Pydantic Settings
│ ├── models/ # Pydantic models
│ │ ├── __init__.py
│ │ └── user.py
│ ├── services/ # Business logic
│ │ ├── __init__.py
│ │ └── user.py
│ ├── repositories/ # Data access
│ │ ├── __init__.py
│ │ └── user.py
│ ├── api/ # HTTP layer
│ │ ├── __init__.py
│ │ ├── deps.py # Dependencies
│ │ └── routes/
│ │ ├── __init__.py
│ │ └── user.py
│ └── core/ # Shared utilities
│ ├── __init__.py
│ ├── exceptions.py
│ └── logging.py
├── tests/
│ ├── __init__.py
│ ├── conftest.py # Fixtures
│ └── test_user.py
└── Makefile
# src/myapp/main.py
from contextlib import asynccontextmanager
from fastapi import FastAPI
from myapp.api.routes import router
from myapp.config import settings
from myapp.core.logging import setup_logging
from myapp.db import engine
@asynccontextmanager
async def lifespan(app: FastAPI):
# Startup
setup_logging()
yield
# Shutdown
await engine.dispose()
app = FastAPI(
title=settings.app_name,
lifespan=lifespan,
)
app.include_router(router, prefix="/api/v1")
@app.get("/health")
async def health():
return {"status": "ok"}
# src/myapp/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
)
app_name: str = "myapp"
debug: bool = False
# Database
database_url: str = "postgresql+asyncpg://localhost/myapp"
# LiteLLM
litellm_url: str = "http://localhost:4000"
litellm_api_key: str = ""
settings = Settings()
# src/myapp/models/user.py
from datetime import datetime
from uuid import UUID
from pydantic import BaseModel, EmailStr, Field
class UserBase(BaseModel):
email: EmailStr
name: str = Field(min_length=2, max_length=100)
class UserCreate(UserBase):
pass
class UserUpdate(BaseModel):
email: EmailStr | None = None
name: str | None = Field(default=None, min_length=2, max_length=100)
class User(UserBase):
id: UUID
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}
# src/myapp/services/user.py
from uuid import UUID
from myapp.core.exceptions import NotFoundError, ConflictError
from myapp.models.user import User, UserCreate, UserUpdate
from myapp.repositories.user import UserRepository
class UserService:
def __init__(self, repo: UserRepository):
self.repo = repo
async def get(self, id: UUID) -> User:
user = await self.repo.get(id)
if not user:
raise NotFoundError("user", str(id))
return user
async def create(self, data: UserCreate) -> User:
existing = await self.repo.get_by_email(data.email)
if existing:
raise ConflictError("email already exists")
return await self.repo.create(data)
async def update(self, id: UUID, data: UserUpdate) -> User:
user = await self.get(id)
return await self.repo.update(user, data)
async def delete(self, id: UUID) -> None:
user = await self.get(id)
await self.repo.delete(user)
# src/myapp/api/routes/user.py
from uuid import UUID
from fastapi import APIRouter, Depends, status
from myapp.api.deps import get_user_service
from myapp.models.user import User, UserCreate, UserUpdate
from myapp.services.user import UserService
router = APIRouter(prefix="/users", tags=["users"])
@router.get("/{id}", response_model=User)
async def get_user(
id: UUID,
service: UserService = Depends(get_user_service),
):
return await service.get(id)
@router.post("", response_model=User, status_code=status.HTTP_201_CREATED)
async def create_user(
data: UserCreate,
service: UserService = Depends(get_user_service),
):
return await service.create(data)
@router.patch("/{id}", response_model=User)
async def update_user(
id: UUID,
data: UserUpdate,
service: UserService = Depends(get_user_service),
):
return await service.update(id, data)
@router.delete("/{id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_user(
id: UUID,
service: UserService = Depends(get_user_service),
):
await service.delete(id)
# src/myapp/core/exceptions.py
from fastapi import HTTPException, status
class AppError(Exception):
"""Base application error."""
def __init__(self, message: str, code: str):
self.message = message
self.code = code
super().__init__(message)
class NotFoundError(AppError):
def __init__(self, resource: str, id: str):
super().__init__(f"{resource} not found: {id}", "NOT_FOUND")
class ConflictError(AppError):
def __init__(self, message: str):
super().__init__(message, "CONFLICT")
class ValidationError(AppError):
def __init__(self, message: str):
super().__init__(message, "VALIDATION_ERROR")
# FastAPI exception handler
def app_error_to_http(error: AppError) -> HTTPException:
status_map = {
"NOT_FOUND": status.HTTP_404_NOT_FOUND,
"CONFLICT": status.HTTP_409_CONFLICT,
"VALIDATION_ERROR": status.HTTP_400_BAD_REQUEST,
}
return HTTPException(
status_code=status_map.get(error.code, status.HTTP_500_INTERNAL_SERVER_ERROR),
detail={"message": error.message, "code": error.code},
)
[project]
name = "myapp"
version = "0.1.0"
description = "My application"
requires-python = ">=3.12"
dependencies = [
"fastapi",
"uvicorn[standard]",
"pydantic",
"pydantic-settings",
"sqlalchemy[asyncio]",
"asyncpg",
"httpx",
"structlog",
]
[tool.uv]
dev-dependencies = [
"pytest",
"pytest-asyncio",
"pytest-cov",
"ruff",
"mypy",
]
[tool.ruff]
line-length = 100
target-version = "py312"
[tool.ruff.lint]
select = [
"E", # pycodestyle errors
"F", # pyflakes
"I", # isort
"UP", # pyupgrade
"B", # flake8-bugbear
"SIM", # flake8-simplify
]
[tool.ruff.lint.isort]
known-first-party = ["myapp"]
[tool.mypy]
strict = true
python_version = "3.12"
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
Detailed material starting at ## Testing has been moved to reference/extended.md to keep this skill concise. Load that reference when the task requires the moved examples, command catalogs, checklists, platform details, or implementation templates.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take majiayu000/python-project from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.