Python Pro

What it does

When installed, the agent works like a Python specialist: it writes code with full type hints, uses async/await for I/O-heavy work, and follows dataclass, pathlib and context-manager conventions. It can also set up strict mypy configuration, write pytest tests with fixtures and mocking, and run black and ruff to tidy the code. Reference notes on type system, async, standard library, testing and packaging are loaded when relevant.

Try asking

• “Add complete type hints and mypy --strict configuration to my Python service”Copy
• “Write a pytest suite with fixtures and mocks for this module”Copy
• “Convert these synchronous HTTP calls to concurrent async code with httpx”Copy
• “Create a dataclass-based config loader with validation and tests”Copy

Get better results

• Point the agent at an existing project folder so it can analyse structure and run the validation tools against real code.
• Review generated code before running it, especially if it executes tests or tools against production data.
• Ask for a specific scope (one module or function) to keep type-checking and coverage iterations focused.

What's inside

• references/async-patterns.md
• references/packaging.md
• references/standard-library.md
• references/testing.md
• references/type-system.md
• SKILL.md