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Nathan Gage writes skills that guide an AI agent through Python engineering work, with the most popular covering asyncio and concurrency (event-loop discipline, task lifecycles, bounded fan-out, async generators), general Python design such as dataclasses, service interfaces, error handling and type annotations, and pytest test design including fixture isolation, mocking boundaries and deterministic concurrency testing. The skills are drawn from patterns observed in real code review, with a consistent focus on the Python ecosystem.
Python Skills
3 skills · 3 stars
Python Async Best Practices Async and concurrency best practices for Python — event-loop discipline, task lifecycle, bounded…
Python Best Practices Python software engineering guidelines from real PR review patterns.
Python Pytest Pytest discipline for writing, reviewing, and fixing Python tests — what deserves to be a committ…