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Prompt Alignment provides a structured framework for optimizing Claude's performance by iteratively mapping input-to-output examples and testing for generalization. By proposing minimal textual edits and conducting micro-evaluations, this skill helps developers eliminate regressions, adhere to global safety and style constraints, and ensure prompts remain robust against adversarial or boundary cases. It is an essential tool for developers who need to fine-tune system prompts, read-trigger descriptions, or complex output styles with precision and confidence using a systematic, data-driven approach.
