test-writer

To generate pytest tests for an existing Python module, apply this test generation Skill to your source path. It detects your testing framework, analyzes public functions, and outputs descriptive test cases covering happy paths and edge cases.

Automating unit test generation for Python code involves inspecting source files to identify public functions and entry points. This Skill produces framework-aware tests that assert explicit values and use fixtures for shared setup.

Yes, you can automatically add mocking for external dependencies in your test suite. The generated tests mock external APIs and dependencies, ensuring integration and unit cases conform to pytest or unittest conventions without requiring live calls.

Yes, the test generator works with both pytest and unittest frameworks. It detects your project's existing testing framework and conventions, then produces well-structured tests that match your established style and patterns.

To cover edge cases and error handling when writing Python tests, the Skill applies a coverage strategy that generates tests for error conditions and integration flows. It ensures your suite catches regressions by testing beyond standard happy paths.

Automated test generation for existing codebases is limited to Python projects and relies on detecting existing pytest or unittest patterns. It requires clear public functions to inspect and cannot infer unstated business logic beyond the source code.