always-works-testing

What problem does it solve?

This Skill prevents the delivery of untested or non-functional code by enforcing a mandatory execution-based verification process. It ensures that any implemented solution genuinely works before being presented to the user, building trust, reducing rework, and saving valuable time.

Core Features & Use Cases

• Mandatory Verification: Establishes a "30-Second Reality Check" to confirm code execution, expected results, and the absence of errors, moving beyond theoretical correctness to practical functionality.
• Contextual Testing: Guides the AI to perform appropriate and specific tests for different change types, including UI interactions, API calls, data modifications, logic changes, configuration updates, and script executions.
• Use Case: After writing a Python script to process log files, this Skill ensures the AI doesn't just assume it works. Instead, it will use available tools (like bash_tool) to run the script with sample inputs, check its output, and confirm it functions as intended before telling you the task is complete.

Quick Start

Apply the always-works-testing skill to verify the Python script I just wrote for parsing log files.