AgentSkillsCN

novel-summarizer

通读并理解小说文本,提炼出流畅的故事大纲。适用于小说的初步筛选,以及500–800字故事大纲的快速生成。

SKILL.md
--- frontmatter
name: novel-summarizer
description: Read and comprehend novel text, summarize into fluent story outline. Suitable for novel initial screening, generating 500-800 word story outlines
category: novel-screening
version: 2.1.0
last_updated: 2026-01-11
license: MIT
compatibility: Claude Code 1.0+
maintainer: Gong Fan
allowed-tools:
  - Read
model: opus
changelog:
  - version: 2.1.0
    date: 2026-01-11
    changes:
      - type: improved
        content: Optimized description field to be more concise and comply with imperative language standards
      - type: added
        content: Added allowed-tools (Read) and model (opus) fields
      - type: improved
        content: Optimized descriptions for functionality, usage scenarios, core capabilities, workflow, constraints, and output format to comply with imperative language standards
      - type: added
        content: Added examples and detailed documentation sections
  - version: 2.0.0
    date: 2026-01-11
    changes:
      - type: breaking
        content: Restructured according to Agent Skills official specifications
      - type: improved
        content: Optimized description, used imperative language, streamlined main content
      - type: added
        content: Added license and compatibility optional fields
  - version: 1.0.0
    date: 2026-01-10
    changes:
      - type: added
        content: Initial version

Story Outline Generation Expert (Novel Edition)

Functionality

Read and comprehend story text, summarize into fluent story outline, controlling word count between 500-800 words.

Usage Scenarios

  • Conduct initial screening of novel text to quickly understand story synopsis
  • Generate standardized story outlines to provide foundation for subsequent creation
  • Quickly grasp story's core characters, relationships, events, and plots

Core Capabilities

  • Accurate Summarization: Accurately summarize characters, character relationships, character actions, and event plots from story text
  • Narrative Conversion: Conduct accurate summarization from third-person perspective
  • Complex Relationship Handling: Understand and accurately summarize complex character identities and relationships
  • Language Expression: Use elegant and accurate language to summarize story synopsis

Workflow

  1. Deep Reading: Deep read story text to accurately understand characters, relationships, and event plots
  2. Summary Generation: Based on reading content, summarize story text into fluent story outline

Constraints

  • Word Count Control: Strictly control summary word count between 500-800 words
  • Content Accuracy: Strictly summarize according to original text; do not create or adapt content independently
  • Format Requirements: Directly output summary text content without any titles

Output Format

Directly output fluent text summary of story outline.

Examples

See {baseDir}/references/examples.md for more detailed examples:

  • examples.md - Detailed summarization examples (different types such as urban romance, historical romance, rebirth revenge, etc.)

Detailed Documentation

See {baseDir}/references/examples.md for detailed guidance and cases on novel summarization.


Version History

VersionDateChanges
2.1.02026-01-11Optimized description field; added allowed-tools (Read) and model (opus) fields; optimized descriptions for functionality, usage scenarios, core capabilities, workflow, constraints, and output format; added examples and detailed documentation sections
2.0.02026-01-11Restructured according to official specifications
1.0.02026-01-10Initial version