Editorial Review Structure
Optimizes document architecture and flow by proposing strategic cuts and reorganizations while maintaining core comprehension.
This skill acts as a high-level structural editor designed to maximize value density in technical and professional documentation. It analyzes content against specific structural models—such as the Pyramid principle for strategies or linear flows for tutorials—to identify redundancies, scope violations, and buried information. By distinguishing between human-centric engagement and LLM-centric precision, it provides actionable recommendations to reorganize, merge, or remove sections to ensure the final output is concise, logical, and effective.
Key Features
01Automatic identification of information redundancy and scope violations
02Dual-optimization modes for human readability or LLM precision and density
0348,157 GitHub stars
04Context-aware structural analysis based on document type (Tutorial, Reference, Pyramid, etc.)
05Prioritized recommendation engine for cutting, merging, or moving content
06Integration with custom project style guides to override default editorial principles
Use Cases
01Restructuring project proposals and PRDs to front-load critical information for decision-makers
02Refining long-form technical documentation to improve flow before publication
03Optimizing README files and prompts for better LLM performance and token efficiency