Individual skill
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.
plugins/LVTD-LLC/skills/skills/manuscript-engagement-analytics/SKILL.md
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- Last checked
- Nov 4, 2026
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- 1,531
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- writing,books,nonfiction,analytics,reader-experience Declared skill tag
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SKILL.mdcore · 3,500 bytesSKILL.mdcore · 3,500 bytesagents/openai.yamlasset · 243 bytesreferences/core/checklist.mddoc · 2,165 bytesreferences/core/examples.mddoc · 2,853 bytesreferences/core/knowledge.mddoc · 3,644 bytesreferences/core/rules.mddoc · 2,881 bytesscripts/analyze_manuscript.pyruns · 4,819 bytesworkflows/audit-engagement.mddoc · 2,220 bytes
Read excerpt
# Manuscript Engagement Analytics
## Core Lens
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.
Use this skill to:
- Generate heading-level word-count maps.
- Find slow starts and long slogs.
- Audit whether headings promise reader takeaways.
- Interpret beta-reader comment locations and abandonment.
- Produce a revision queue for value pacing.
