novel-summarizer

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