novel-truncator

To truncate novel texts without breaking sentences or chapters, this Skill applies chapter-boundary prioritization and sentence-boundary safety. It intelligently cuts your input to a specified maximum length while preserving narrative integrity and avoiding mid-scene cuts.

The best way to preprocess novels for NLP length limits is using intelligent text-truncation that respects narrative structure. It outputs the truncated text alongside metadata and provenance, ensuring your content remains structurally intact for downstream processing.

You truncate text at a chapter boundary by providing the input text and maximum length to this Skill. It prioritizes chapter boundaries for cutting typical novel formats, falling back to sentence boundaries if needed to avoid mid-sentence splits.

This text truncation method works across typical novel formats by detecting chapter and sentence boundaries. You only need to provide the original text and maximum length limit to receive truncated content and metadata without requiring additional dependencies.

Your truncated text cuts off mid-scene because standard cutters ignore narrative structure. Prevent this by using chapter-boundary prioritization and sentence-boundary safety, which actively avoid breaking mid-scene or mid-sentence during text truncation.