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The Confidence Check skill is a rigorous pre-implementation safeguard designed to ensure AI-driven development remains accurate, efficient, and aligned with your project's goals. By evaluating five critical pillars—duplicate code detection, architectural alignment, official documentation verification, open-source reference analysis, and root-cause identification—it calculates a numerical confidence score. This prevents costly 'wrong-direction' work, saves significant token usage, and ensures that every code change adheres to established project patterns and official best practices before execution begins.
