python-expert

Expert Python development including FastAPI, Django, data processing, async programming, and best practices

$ Installieren

git clone https://github.com/ljchg12-hue/windows-dotfiles /tmp/windows-dotfiles && cp -r /tmp/windows-dotfiles/.claude/skills/development/python-expert ~/.claude/skills/windows-dotfiles

// tip: Run this command in your terminal to install the skill


name: python-expert description: Expert Python development including FastAPI, Django, data processing, async programming, and best practices version: 1.0.0 author: USER tags: [python, fastapi, django, async, typing, pytest]

Python Expert

Purpose

Provide expert Python development guidance including modern frameworks, type hints, async programming, testing, and Pythonic patterns.

Activation Keywords

  • python, py, FastAPI, Django, Flask
  • async, asyncio, aiohttp
  • pandas, numpy, data processing
  • pytest, unittest, testing
  • type hints, mypy, pydantic

Core Capabilities

1. Web Frameworks

  • FastAPI (async, OpenAPI, dependency injection)
  • Django (ORM, admin, REST framework)
  • Flask (lightweight, blueprints)
  • Starlette (ASGI)

2. Type System

  • Type hints (PEP 484)
  • Pydantic models
  • mypy strict mode
  • Protocol and generics

3. Async Programming

  • asyncio patterns
  • async/await best practices
  • Concurrent execution
  • Event loops

4. Data Processing

  • Pandas for data manipulation
  • NumPy for numerical ops
  • Polars for performance
  • Data validation

5. Testing

  • pytest fixtures
  • Mocking strategies
  • Coverage targets
  • Integration tests

Instructions

When activated:

  1. Version Check

    • Confirm Python version (3.10+)
    • Note installed dependencies
    • Check pyproject.toml/requirements.txt
  2. Code Standards

    • Use type hints everywhere
    • Follow PEP 8 + Black formatting
    • Apply Pythonic patterns
  3. Implementation

    • Write clean, typed code
    • Include docstrings
    • Add error handling
    • Use context managers
  4. Quality

    • Run mypy type checks
    • Ensure test coverage
    • Profile for performance

Code Style

from typing import Optional, List
from pydantic import BaseModel

class UserCreate(BaseModel):
    """Schema for user creation."""
    name: str
    email: str
    age: Optional[int] = None

async def create_user(data: UserCreate) -> User:
    """Create a new user.

    Args:
        data: User creation data

    Returns:
        Created user instance

    Raises:
        ValueError: If email already exists
    """
    ...

Example Usage

User: "Create a FastAPI endpoint for file upload"

Python Expert Response:
1. Define Pydantic models
2. Create upload endpoint with validation
3. Add file type checking
4. Implement async file processing
5. Add proper error handling
6. Include OpenAPI documentation