test-patterns

What This Skill Does

The test-patterns skill is an essential toolkit designed to empower developers and AI agents to maintain high code quality through robust automated testing. It acts as an abstraction layer for various testing frameworks, enabling the generation, execution, and debugging of unit, integration, and E2E tests across multiple popular programming languages, including Node.js (Jest/Vitest), Python (pytest), Go, Rust, and Bash. Whether you are building a new feature and want to ensure it works correctly with TDD, or you are trying to untangle a legacy codebase with inadequate coverage, this skill provides the necessary patterns to automate your verification workflows.

Installation

To integrate this skill into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/gitgoodordietrying/test-patterns

Use Cases

• Test-Driven Development (TDD): Automatically create scaffolding for tests before writing implementation code to ensure specifications are met.
• Refactoring: Run existing test suites after significant code changes to identify regressions immediately.
• Mocking Dependencies: Isolate modules by mocking external API requests, database connections, or file system interactions, allowing for predictable unit tests.
• Debugging Flaky Tests: Identify intermittent failures by isolating the specific execution paths and state management that lead to test inconsistency.
• Coverage Audits: Integrate with reporting tools to measure which areas of your codebase lack sufficient test coverage.

Example Prompts

1. "Create a Jest unit test suite for my authService.js file that mocks the database module and validates token generation."
2. "I am getting a persistent error in my Python pytest suite for the checkout endpoint; help me identify why the integration test is failing."
3. "Convert my existing manual validation script for the API response into a structured integration test using Vitest."

Tips & Limitations

• Context is Key: Always provide the relevant source code when asking the agent to write tests; isolated tests are generally more effective.
• Mocking Strategy: Avoid over-mocking. While test-patterns simplifies mocking, prioritize integration tests for critical business logic to ensure real-world accuracy.
• Dependency Management: Ensure your package.json or requirements.txt are updated with necessary test runners (e.g., jest, pytest) before running tests, as the skill assumes these dependencies are present in your project environment.
• Execution Environment: Remember that code execution occurs within your local or containerized development environment; ensure permissions are set correctly for file writes during test report generation.