Short Web Novel Structural Analyzer

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Deconstructs viral short stories and web novels into structural components, emotional arcs, and reusable writing techniques.

This skill provides a systematic 5-stage pipeline for analyzing short-form web fiction, specifically optimized for stories under 20,000 words. It identifies the story core, emotional hooks, plot twists, and character archetypes, generating a comprehensive analysis report and metadata. Designed for authors targeting platforms like Zhihu, Fanqie, and Story Club, it helps creators understand 'viral' mechanics through deep narrative deconstruction while ensuring report quality via anti-AI prose filters and structural validation gates.

주요 기능

01Anti-AI prose quality gates for deconstruction reports
02Platform-specific benchmarking for Zhihu, Fanqie, and others
03Structural metadata extraction including beats, hooks, and clues
04Integrated word-count routing for optimized long vs. short analysis
052,341 GitHub stars
065-Stage automated narrative deconstruction pipeline

사용 사례

01Analyzing viral web stories to identify successful narrative patterns
02Extracting writing techniques and plot nodes to guide AI-assisted authorship
03Creating structural templates for high-resonance short fiction