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python-pro

Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.

9,095stars765forksUpdated 5/16/2026

Security Assessment

Safe(100/100)
Security Score100/100

About python-pro

Python Pro is a specialized AI skill for developing modern Python 3.11+ applications with a strong emphasis on type safety, async-first architecture, and production-ready engineering practices. It helps developers build maintainable and reliable Python codebases by enforcing strict typing, structured error handling, and standardized formatting and linting workflows. The skill is designed to support high-quality software development by generating type-annotated code, validating type correctness with mypy in strict mode, and ensuring compliance with Python best practices using tools such as black and ruff. It also promotes modern Python conventions including dataclasses, context managers, and pathlib-based file handling.

The skill provides guidance and implementation support for several core areas of Python development. These include async/await patterns for I/O-bound operations, pytest-based testing with fixtures and mocking, dependency injection approaches, logging configuration, and comprehensive docstring generation using Google style formatting. Its workflow includes analyzing existing codebases, designing typed interfaces with protocols and type aliases, implementing Pythonic patterns, creating high-coverage test suites, and validating formatting and linting requirements. The included reference structure allows developers to load topic-specific guidance for type systems, async programming, testing, packaging, and standard library usage.

Python Pro is intended for software engineers, backend developers, automation engineers, and teams building scalable Python applications. It is especially useful in environments where strict type checking, test reliability, and code quality enforcement are required. Typical use cases include backend services, asynchronous APIs, production tooling, package development, and projects that require maintainable long-term codebases with robust validation and testing workflows.

FAQ

What Python versions is this skill designed for?

This skill is designed for Python 3.11 and newer, and it uses modern language features such as the X | None type syntax introduced in Python 3.10+.

Does this skill support asynchronous programming?

Yes. The skill focuses on async-first development practices and provides guidance for async/await patterns, asyncio usage, and task group implementation for I/O-bound operations.

What testing framework does this skill use?

The skill uses pytest for testing and supports fixtures, mocking, parametrization, and high test coverage workflows exceeding 90% coverage targets.

How does the skill enforce code quality?

The workflow includes validation with mypy in strict mode, black for formatting, and ruff for linting. The process requires fixing reported issues before completion.

Are there coding practices that this skill avoids?

Yes. The skill avoids mutable default arguments, bare except clauses, missing type annotations on public APIs, deprecated standard library modules, and improper mixing of synchronous and asynchronous code.

All Files

6 files
references/standard-library.md8.9 KB
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SKILL.md5.9 KB
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references/testing.md9.7 KB
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references/packaging.md9.3 KB
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references/type-system.md6.5 KB
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references/async-patterns.md9.1 KB
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Install python-pro

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill