How does it handle edge cases?

The skill systematically analyzes inputs to identify boundary values, null/undefined cases, and invalid types to ensure your code is resilient against unexpected data.

Does it support Test-Driven Development (TDD)?

Absolutely. The skill is designed to follow TDD principles, helping you define test cases and expected outcomes before or alongside implementation.

Which programming languages are supported by this skill?

While the logic and principles are language-agnostic, the skill provides optimized patterns and examples for Python (pytest) and JavaScript (Vitest/Jest).

Can this skill help with mocking external APIs?

Yes, it includes specific strategies for mocking and stubbing external dependencies like databases, file systems, and third-party APIs to ensure tests remain fast and isolated.

Automated Code Testing & TDD

Name: Automated Code Testing & TDD
Author: rysweet

byrysweet

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보안 및 테스팅

Generates comprehensive test suites and improves code coverage using Test-Driven Development (TDD) principles.

소개

The Quality skill transforms Claude into a high-performance QA engineer capable of generating robust unit, integration, and edge-case tests for your codebase. By adhering to the Test Pyramid and TDD principles, it identifies untested code paths, creates mocks for external dependencies, and ensures that new features or bug fixes are fully validated before deployment. Whether you are refactoring legacy code or building new APIs, this skill provides the structure and confidence needed to maintain high software quality standards.

주요 기능

Support for TDD workflows and regression test creation
16 GitHub stars
Automated unit and integration test generation for Python and JavaScript
Standardized test organization and naming convention enforcement
Smart edge-case identification including boundary values and error conditions
Built-in patterns for mocking and stubbing external dependencies

사용 사례

Increasing test coverage for legacy modules or newly implemented features
Generating comprehensive test suites for complex API authentication and data flows
Creating regression tests to ensure bug fixes remain effective over time

소개

주요 기능

Support for TDD workflows and regression test creation
16 GitHub stars
Automated unit and integration test generation for Python and JavaScript
Standardized test organization and naming convention enforcement
Smart edge-case identification including boundary values and error conditions
Built-in patterns for mocking and stubbing external dependencies

사용 사례

Increasing test coverage for legacy modules or newly implemented features
Generating comprehensive test suites for complex API authentication and data flows
Creating regression tests to ensure bug fixes remain effective over time