Long Web Novel Deconstructor

•
2.3k
•

Analyzes long-form web novels through a deep multi-stage pipeline to extract plot structures, character arcs, and viral writing patterns.

This skill provides a professional-grade framework for analyzing hit web novels (network fiction). It executes a structured analysis pipeline that begins with the critical 'Golden Three Chapters' and expands into full-book character relationship mapping, world-building extraction, and emotional pacing analysis. Designed for authors and editors, it helps decode the mechanics of successful stories by generating detailed reports, style profiles, and plot summaries, saving all structured data locally for future reference and creative inspiration.

Key Features

01Detailed writing style profiling including sentence metrics, punctuation habits, and emotional cycles.
02Deep 'Golden Three Chapters' analysis focusing on hooks and early pacing.
03Integrated progress management and checkpointing for novels exceeding 200+ chapters.
04Parallel agent-based chapter summarization for high-speed processing of long works.
052,341 GitHub stars
06Comprehensive character and setting extraction with relationship mapping and hierarchy tracking.

Use Cases

01Analyzing market leaders to benchmark and refine personal writing style and pacing.
02Reverse-engineering viral web novels to identify successful tropes and gratification points.
03Building detailed world-building and character bibles from existing literature for research.