Guide unit, integration, and end-to-end testing patterns across programming languages.
npx skills add https://github.com/whitebeardit/.cursor --skill testing-whitebeardit
Please help me install this Agent Skill. Skill: testing Source: https://github.com/whitebeardit/.cursor/tree/main/skills/shared/skill-testing Command: npx skills add https://github.com/whitebeardit/.cursor --skill testing-whitebeardit
This Skill provides comprehensive guidance on writing effective unit, integration, and end-to-end tests, ensuring code quality and reliability across various programming languages and frameworks.
Consult the testing skill for guidance on writing unit tests for a new Node.js service.
High-intent search queries and answers about installing and using this skill.
Effective mocking isolates the system under test by replacing dependencies with controllable substitutes. This Skill provides guidance on implementing mocking strategies and handling asynchronous operations to ensure your integration tests remain robust and deterministic.
Writing tests for error cases involves validating that your code handles failures and edge scenarios gracefully. You should structure tests to trigger exceptions and assert error responses, ensuring all critical paths and error conditions are covered.
Yes, this guidance covers end-to-end (e2e) and integration tests alongside unit tests. It provides best practices for testing patterns, frameworks, and strategies to improve code quality and reliability across all test types.
Test data builders are patterns used to construct complex test data objects fluently. You need them when writing integration or e2e tests to simplify setup, reduce duplication, and ensure test data remains manageable as your test suite grows.
klxiaoniuAnalyze native Android projects and implement a testing strategy with a Markdown report.
excattExecutes Python test suites with pytest and generates detailed coverage reports.
nanorepublicaStandardize unit-test coding practices across Claude Code projects.
NebulaMaoGenerate user stories, functional requirements, and acceptance criteria from natural language descriptions.
