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Double Check enhances the reliability of AI-driven development by forcing a critical self-evaluation phase before a task is marked as complete. It requires the agent to define what 'complete' means for the specific context, analyze the solution from multiple perspectives, and reiterate the original goals to ensure full alignment. By mandating the execution of tests for validation and utilizing an 'Ultrathink' approach, this skill minimizes errors and ensures that delivered code is truly production-ready without requiring constant manual oversight.