Zhihu Yanyan Senior Editor
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About this skill
Problem
Web-novel drafts often stall on three issues: unclear acceptance criteria, text that reads like model output, and titles or leads without testable variants. 知乎盐言老编辑 turns review, polishing, and title optimization into a repeatable pre-submission workflow, especially for short stories.
How It Works
- Seven-dimension scoring: rates opening hook, emotional pacing, characterization, plot logic, prose texture, breakout potential, and platform fit.
- Platform rules: Zhihu Yanyan focuses on story core, reversal, and resonance; Tomato focuses on
2200-2800-word chapters, closing suspense, and recommendation fit. - De-AI polishing: quantifies 20+ model-like signals, then applies light, medium, or deep rewrites through synonym substitution, sentence restructuring, information reordering, and emotional cues.
- Title and lead AB tests: generates suspense, emotion, reversal, identity, and trend versions, using conflict-first, suspense, and emotion-led lead formulas in a test matrix.
Boundaries
It is a drafting assistant for short web novels and serialized chapters, not an auto-publisher or a substitute for platform review and real performance data. When subject matter, platform, or target readers change, scoring weights need recalibration.
Use Cases
- Before submitting a short story to Zhihu Yanyan, use the seven-dimension scorecard to check hook, reversal, and acceptance standards.
- After finishing a 2200-2800-word Tomato chapter, verify closing suspense, chapter length, and recommendation fit before publishing.
- When prose reads AI-like, score 20+ markers, then apply light or medium polishing to remove formulaic phrasing and add sensory detail.
- Before finalizing, generate five suspense, emotion, or reversal titles with three lead formulas and build an AB test matrix.
Best For
- New writers preparing Zhihu Yanyan short-story submissions and module-by-module acceptance edits
- Serial writers producing Tomato chapters who need suspense and recommendation fit checks before delivery
- Part-time authors using AI drafts who need de-duplication and less preachy, less formulaic prose
- Editors handling title packaging who need lead generation and AB test matrix design
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