python-engineering

Modern Python engineering standards and best practices. Use this skill whenever a user wants to: scaffold a Python project, configure tooling (uv, ruff, ty, mypy, structlog, pytest, hypothesis, pydantic-settings, opentelemetry, pip-audit), set up pyproject.toml, src-layout, pre-commit, CI/CD, Docker — for an existing, inherited, or legacy project as much as a greenfield one (assessing and modernizing current setup, not just scaffolding new) — or asks about Python architecture, packaging, testing, type checking, observability, security, async patterns, typing.Protocol, dependency injection, CLAUDE.md, or Cursor rules. Covers hexagonal architecture, functional core/imperative shell, property-based testing, snapshot testing, testcontainers, Trusted Publishers, and Sigstore.