claudecodex

python-dev-workflow

Python TDD, pytest scenario planning, E2E/integration/unit test writing, test review and audit, Celery and Redis references, production Celery guidance, and constants and config placement.

8 on GitHubby Alex Kopylovv0.20.0Apache-2.0updated 25 days agodevelopment
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Plugin python-dev-workflow from marketplace zweihander in Alex-Kopylov/zweihander. Commands read from the repo's manifest — 25 days ago.

What it installs

Skills (3)

  • celery-expert

    This skill should be used when the user asks to "configure Celery", "set up Celery with Redis", "write Celery tasks", "add background tasks with Celery", "celery beat schedule", "celery task retry", "celery performance tuning", "celery TDD", "test Celery tasks", "celery worker config", "celery monit

  • constants-placement

    Triages hardcoded values in Python code and moves each one where it belongs - kept in its module, a shared constants module, a pydantic-settings field, or a secret in .env. Use when auditing or refactoring module-level constants, magic numbers, hardcoded URLs, hosts, ports, timeouts, credentials or

  • tests-manager

    Orchestrates Python pytest work - writing tests test-first, reviewing new tests, and auditing existing suites for low-value tests. Use when doing TDD or red-green-refactor in Python, deriving test scenarios from requirements, choosing E2E, integration, or unit coverage, writing mocks, fixtures, Cele

Subagents (3)

  • test-assessor

    Use this agent to judge the pytest tests of one lane in review, audit, or recheck mode and return a ledger. Read-only.

  • test-scenario-planner

    Use this agent when a task description, specifications, or business requirements must be translated into high-level test scenarios and corner cases before test-level selection or test writing.

  • test-writer

    Use this agent to write or change Python pytest tests at one assigned level (unit, integration, or E2E) for assigned scenario ids and target paths.

View source on GitHub

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