Testing & Quality Assurance Skill

What problem does it solve?

This Skill ensures the correctness and reliability of the Spark analysis engine by enforcing rigorous test-driven development (TDD) practices and comprehensive quality assurance, preventing incorrect insights and hallucinations.

Core Features & Use Cases

• Test-Driven Development (TDD): Guides the implementation of new features and analysis logic by writing tests first.
• Comprehensive Test Suite: Covers unit, integration, workflow, and end-to-end (E2E) testing for both backend and frontend.
• Quality Gates: Defines clear criteria for code quality and test coverage before merging.
• Use Case: When developing a new Spark optimization detector, you would first write a failing unit test that describes the expected behavior, then implement the detector to make the test pass, ensuring the new logic is correct and verifiable.

Quick Start

Write a failing test for the new Spark analysis logic you intend to implement.