概要
Environment Grounding Automation bridges the gap between AI reasoning and real-world reality by forcing the model to verify its plans against live system states. By querying external APIs, checking local tool outputs, and adjusting workflows based on real-time feedback, this skill prevents errors caused by outdated assumptions. It is essential for complex automation tasks where the AI must confirm the environment's current state before executing commands, ensuring every action is grounded in evidence rather than hallucination.
