What problem does it solve? Documents often accumulate redundant sections, buried critical information, and poor flow that frustrate readers. This Skill performs a structural editorial review that identifies what to cut, merge, move, or condense before any copy editing happens. ## Core Features & Use Cases - Structural Analysis: Maps each section against purpose-fit structure models (tutorial, reference, conceptual, prompt, strategic) and flags redundancy, scope violations, and buried information. - Reader-Type Calibration: Applies different principles for human readers (preserve comprehension aids) versus LLM readers (optimize for precision and density). - Prioritized Recommendations: Outputs categorized actions (CUT, MERGE, MOVE, CONDENSE, QUESTION, PRESERVE) with rationale and estimated word-count impact. - Use Case: A technical writer has a 3,000-word setup guide that feels bloated. Run this review to get a prioritized list of structural changes, such as merging duplicate prerequisites sections and moving the FAQ inline, with an estimated 25% length reduction. ## Quick Start Ask the AI to perform a structural editorial review of your document, optionally specifying the purpose, target audience, reader type, and length target.