claude

ai-toolkit-python-quality

Experimental — Python quality phase — pytest unit and integration tests, ruff and mypy static analysis.

2 on GitHubby oridddv0.4.0MITupdated 2 days agodevelopment
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Plugin ai-toolkit-python-quality from marketplace ai-toolkit in oriddd/ai-toolkit. Commands read from the repo's manifest — yesterday.

What it installs

Skills (3)

  • python-integration-tests

    Python integration tests with testcontainers-python (PostgreSQL, Redis, Kafka) and pytest markers separating unit from integration, including Alembic migration checks. Use when behaviour depends on real database or broker semantics that fakes cannot prove.

  • python-static-analysis

    Python static analysis — ruff lint and format, mypy --strict, pre-commit, one pyproject.toml, all breaking the build. Use when a repo is created, a tool is configured, or a lint or type error needs resolving.

  • python-unit-tests

    Python pytest unit tests — positive, negative and edge cases, method_condition_expectedResult naming, fixtures, fakes at the boundary, parametrize, coverage threshold. Use when a module is created or a behaviour changes. Real DB/broker tests live in `python-integration-tests`.

View source on GitHub

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