Does this skill work with specific programming languages?

Yes, the principles and templates are language-agnostic and can be applied to Java, JavaScript, Python, C#, and any other language using common testing frameworks.

Why does the skill prohibit using tables for test cases?

Structured lists are preferred over tables to ensure maximum readability and compatibility with AI processing, making it easier for Claude to follow and generate consistent test documentation.

What is the primary goal of the Testing Guidelines skill?

The primary goal is to provide a structured approach to test design, ensuring that tests are comprehensive, easy to maintain, and provide clear diagnostic information when they fail.

How does this skill improve debugging?

By enforcing meaningful failure messages and fluent assertions, the skill ensures that when a test fails, the output clearly explains what went wrong and why, reducing the time spent on root cause analysis.

Should I use this for unit testing or integration testing?

The guidelines are applicable to all levels of testing, including unit, integration, and end-to-end tests, as they focus on the core logic and reliability of the test itself.

Testing Guidelines

Name: Testing Guidelines
Author: cuipengfei

bycuipengfei

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セキュリティとテスト

Standardizes the design and implementation of high-quality, maintainable test suites using structured templates and assertion best practices.

概要

Testing Guidelines provides a comprehensive framework for developers and AI agents to implement robust testing strategies. It emphasizes the importance of coverage across positive, negative, and boundary scenarios while ensuring tests remain independent and decoupled from implementation details. By providing structured templates and clear principles for fluent assertions, this skill helps teams improve code reliability, simplify debugging with meaningful failure messages, and maintain a high standard of software quality throughout the development lifecycle.

主な機能

Standardized list-based test case templates for consistent documentation
Comprehensive coverage requirements for positive, negative, and boundary cases
5 GitHub stars
Design principles for creating independent and maintainable test suites
Guidance on verifying logical behavior over private implementation details
Fluent assertion best practices for clear and diagnostic failure messages

ユースケース

Ensuring AI-generated tests meet professional-grade quality and coverage standards
Establishing a unified testing standard for a new software project
Refactoring existing test suites to improve readability and maintainability

概要

主な機能

Standardized list-based test case templates for consistent documentation
Comprehensive coverage requirements for positive, negative, and boundary cases
5 GitHub stars
Design principles for creating independent and maintainable test suites
Guidance on verifying logical behavior over private implementation details
Fluent assertion best practices for clear and diagnostic failure messages

ユースケース

Ensuring AI-generated tests meet professional-grade quality and coverage standards
Establishing a unified testing standard for a new software project
Refactoring existing test suites to improve readability and maintainability