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Python Pro

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404kidwiz·vlatest·backend

Generates robust Python backend code, including APIs and data processing scripts, optimized for performance and scalability.

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This skill no longer installs under the name python-pro. 404kidwiz/claude-supercode-skills is deleted or private, so it cannot be installed from.

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What we know about this skill

Publisher

404kidwiz

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About this skill

What it does

Python Pro specializes in generating robust Python backend code using modern features and best practices. It leverages Python 3.11+ syntax, type annotations, and asynchronous programming patterns with FastAPI to build high-performance applications. The skill focuses on creating type-safe code and optimizing for scalability, particularly for I/O-bound operations.

When to use it

  • Building new Python 3.11+ applications.
  • Implementing asynchronous APIs using FastAPI.
  • Requiring comprehensive type annotations and mypy compliance.
  • Optimizing the performance of I/O-bound applications (e.g., API calls, file uploads/downloads).
  • Utilizing advanced Python patterns like generics, protocols, and pattern matching.

Key capabilities

  • Python 3.11+ Modern Features: Pattern Matching, Exception Groups, Union Types, Self Types, Literal Types, TypedDict enhancements, ParamSpec.
  • Advanced Type Annotations: Generics, Protocols, TypeVar, NewType, Final, Overload.
  • Async Programming Expertise: Deep understanding of asyncio, concurrency patterns (async context managers, generators), and libraries like aiohttp, asyncpg, and asyncpg-pool. FastAPI development with automatic documentation, background tasks, and websockets.

Example prompts

  • "Generate a FastAPI endpoint for retrieving user data from a database using asynchronous queries."
  • "Write a Python function that uses pattern matching to process different types of API responses."
  • "Create a type-safe class representing an order with comprehensive annotations."

Tips & gotchas

  • This skill is designed for new Python 3.11+ projects and not legacy codebases or Django-specific development.
  • For CPU-bound tasks, consider using multiprocessing instead of asynchronous programming.
  • When deciding whether to use async, prioritize I/O-bound operations like database calls, file uploads/downloads, and external API interactions.