Manuscript Engagement Analytics
Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and abandonment risks. Use when auditing a book, guide, manual, course-like draft, or technical manuscript for value density, reader experience, or beta-feedback engagement patterns.
Writingv0.1.0MITwritingbooksnonfictionanalyticsreader-experience
Install
npx skills add LVTD-LLC/skills --skill manuscript-engagement-analyticsFrom `SKILL.md`
Reader engagement can be approximated by mapping value over reading time. A manuscript with long stretches between useful payoffs, vague topic headings, or reader-comment dropoff is signaling where readers may get bored, confused, or stuck.