implementing-python-files

To implement Python code using TDD, this skill automates a 4-step cycle: writing tests, reviewing tests, implementing code, and reviewing the implementation for each designated file. It validates file paths and orchestrates sequential skill invocations to ensure robust module development.

The test-driven development workflow for new Python files involves writing tests first, reviewing those tests, implementing the code, and then reviewing the implementation. This sequence ensures each Python module is validated and meets project standards before completion.

To add new functionality to existing Python modules with test coverage, the skill focuses on designated files and manages existing tests. It orchestrates the TDD cycle to ensure new code is thoroughly tested and reviewed against project standards.

Yes, you can implement multiple Python files at once. The skill accepts one or more designated Python files, applying the 4-step test-driven development cycle to each file individually to ensure robust, well-tested code across modules.

Yes, the Python implementation skill validates file paths before coding begins. This ensures the specified modules exist in the correct locations within the project structure before managing tests and orchestrating the implementation workflow.

You need an automated TDD workflow for Python file development when adding new functionality to specific modules or creating new files. It ensures adherence to test-driven development principles and project standards by automating test management and code reviews.