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The Confidence Check skill acts as a pre-implementation safeguard that ensures Claude has verified all necessary prerequisites before writing code. By calculating a weighted confidence score based on duplicate detection, architecture alignment, official documentation review, open-source references, and root cause identification, it prevents 'wrong-direction' development. This skill enforces a strict 90% confidence threshold, significantly reducing token wastage and implementation errors by ensuring the AI fully understands the technical context and existing codebase patterns before proceeding.
