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Metacognitive Guard is a specialized Claude Code skill designed to enhance AI reliability by monitoring for internal struggle signals such as hedging, contradiction, or circular reasoning. It provides a structured framework for the AI to self-assess its confidence levels across architectural decisions, ambiguous requirements, and multi-domain synthesis. By integrating with deep-thinking resources, it ensures that high-stakes or high-complexity problems receive the necessary cognitive depth before a response is generated, resulting in more decisive, accurate, and actionable recommendations for the developer.
