Guide Python teams through red-green-refactor cycles with pytest and moto mocking.
npx skills add https://github.com/expeor/aws-automation --skill tdd-workflow-expeor
Please help me install this Agent Skill. Skill: tdd-workflow Source: https://github.com/expeor/aws-automation/tree/main/.claude/skills/tdd-workflow Command: npx skills add https://github.com/expeor/aws-automation --skill tdd-workflow-expeor
TDD 워크플로우 가이드는 테스트 주도 개발의 철학과 실천 방법을 팀이 일관되게 적용하도록 돕습니다. 테스트가 코드 설계와 유지 보수의 주도권을 갖도록 하는 것이 주 목표입니다.
Try applying the TDD workflow to your Python project by writing a failing test first, then implementing the minimal code to pass, and finally refactoring.
High-intent search queries and answers about installing and using this skill.
The red-green-refactor cycle in pytest starts by writing a minimal failing test, then implementing the exact code required to pass it, and finally refactoring while keeping tests green. This enforces test-driven design.
Mocking AWS services in Python integration tests with moto involves applying moto decorators to intercept boto3 calls, returning controlled dummy data. This isolates test-driven development workflows from live API costs.
Yes, test-driven development applies to both unit and integration testing in Python. The workflow defines small unit tests for logic and broader integration tests with moto mocking to verify component interactions.
The red-green-refactor workflow improves software quality by forcing incremental test coverage and immediate feedback. Refactoring only occurs after passing tests, ensuring structural changes never break existing behavior.
Naming conventions for minimal viable tests in TDD should clearly describe the tested behavior and expected outcome. Structuring test names around specific scenarios keeps the test suite readable and maintainable.
Pytest and moto are the primary frameworks targeted by this test-driven development workflow. While the red-green-refactor principles apply universally, the provided patterns and examples are tailored for these specific Python tools.
partme-aiProvides guidance for writing and configuring pytest tests in Python.
excattExecutes Python test suites with pytest and generates detailed coverage reports.
janewilkinLints Python code with ruff and checks types with mypy.
mscipioGenerates executable test specifications for workflows using GanttProject's Umlet integration.
