code-testing

What problem does it solve?

This Skill streamlines the entire code testing process, from generating unit and integration tests to measuring coverage, ensuring high code quality and significantly reducing manual testing effort. It helps you catch bugs early and maintain robust software.

Core Features & Use Cases

• Test Generation: Creates comprehensive unit and integration tests using frameworks like Pytest (Python) and Jest (JavaScript), complete with fixtures and mocks.
• TDD Workflow: Guides you through the Red-Green-Refactor cycle, promoting test-driven development for new features and bug fixes.
• Coverage Measurement: Integrates with coverage tools to help you achieve and maintain target code coverage (e.g., 80%+).
• Use Case: When developing a new API endpoint, use this skill to generate failing tests first, then implement the minimum code to pass them, and finally refactor, all while ensuring high test coverage and preventing regressions.

Quick Start

Example: Python unit test with pytest

import pytest from my_module import calculate_total

@pytest.fixture def sample_data(): return {"items": [{"price": 10.0, "quantity": 2}]}

def test_calculate_total(sample_data): result = calculate_total(sample_data["items"]) assert result == 20.0