story-long-analyze

Decompose long web novels into narrative structure, character frameworks, and pacing mechanics.

2.8k|549|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/xiamuceer-j/MuMuAINovel --skill story-long-analyze-xiamuceer-j
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: story-long-analyze
Source: https://github.com/xiamuceer-j/MuMuAINovel/tree/main/backend/app/skills/story-long-analyze
Command: npx skills add https://github.com/xiamuceer-j/MuMuAINovel --skill story-long-analyze-xiamuceer-j

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Helps authors understand why a long web novel becomes a hit by breaking down its narrative structure, character system, pacing, and payoff loops into reusable insights.

Core Features & Use Cases

  • Gold-Chapter Dissection (Quick Mode): Analyzes the “golden three chapters” and the overall structure to extract scene-level mechanics, hook designs, and rhythm patterns.
  • Whole-Novel Deep Decomposition (Deep Mode): Ingests a book or its text file path, then outputs structured artifacts (summaries, chapters, characters, plots, worldbuilding, and final report) into a deterministic directory layout.
  • Quality-Gated Aggregation: Performs cross-chapter aggregation with explicit self-checks (confidence, coverage, overlap) and uses a fallback mechanism for isolated plot points.

Quick Start

Tell the assistant: “帮我拆这本《xxx》(平台:xx),重点看黄金三章和整体节奏。”

Frequently Asked Questions about story-long-analyze

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deconstruct a hit web novel to understand its story structure and pacing?

To deconstruct a web novel, this skill breaks down its narrative structure, pacing, and payoff loops into actionable insights. It decomposes successful long-form fiction by analyzing character systems and plot mechanics, revealing exactly why a story becomes a hit.

What is the best way to analyze the golden three chapters of a web fiction for hook design?

Analyzing the golden three chapters is handled by the skill's Quick Mode, which dissects opening chapters to extract scene-level mechanics and hook designs. This provides a fast overview of the initial rhythm and structural patterns used to capture readers.

Can I do a whole-novel deep decomposition for competitor analysis using a text file?

Yes, you can perform a whole-novel deep decomposition by providing a book or its text file path. The skill ingests the content and outputs structured artifacts like chapter summaries, character frameworks, and plot details into a deterministic directory layout for competitor analysis.

How does the novel analysis process handle isolated plot points during cross-chapter aggregation?

During cross-chapter aggregation, the novel analysis process uses a quality-gated mechanism with explicit self-checks for confidence and coverage. It employs a fallback mechanism specifically to handle isolated plot points, ensuring no critical narrative elements are lost.

Do I need to provide a specific text file format to generate structured chapter summaries and character systems?

You need to provide the book content or a text file path to generate structured chapter summaries and character systems. The skill uses this input to perform deterministic routing and template-driven output, creating a structured directory of narrative artifacts.