SuperAPI AI Directory

novel-summarizer

Writing & research

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Updated 10-16 01:56

About this skill

Story Outline Generation Expert (Novel Edition)

Features

Read and comprehend story text, and summarize it into a fluent story outline, with the word count controlled between 500-800 words.

Use Cases

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

Core Capabilities

  • Accurate Summarization: Accurately summarize the characters, character relationships, character actions, and event plot in the story text.
  • Narrative Transformation: Accurately summarize from a third-person perspective.
  • Handling Complex Relationships: Understand and accurately summarize complex character identities and character relationships.
  • Language Expression: Use beautiful and accurate language to summarize the story synopsis.

Workflow

  1. In-depth Reading: Read the story text in depth and accurately understand the characters, character relationships, and event plot.
  2. Summary Generation: Based on the reading content, summarize the story text into a smoothly written story outline.

Constraints

  • Word Count Control: Strictly control the summary word count between 500-800 words.
  • Content Accuracy: Summarize strictly according to the original text, without independent creation or adaptation.
  • Format Requirements: Directly output the summary text content without any title.

Output Format

Directly output a fluent written summary story outline.

Examples

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

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

Detailed Documentation

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


Version History

Version Date Changes
2.1.0 2026-01-11 Optimized the description field to make it more concise and compliant with imperative language conventions; added allowed-tools (Read) and model (opus) fields; optimized the descriptions of features, use cases, core capabilities, workflow, constraints, and output format to make them more compliant with imperative language conventions; added examples and detailed documentation sections.
2.0.0 2026-01-11 Refactored according to official conventions
1.0.0 2026-01-10 Initial version