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The PDF Chapter Splitter skill empowers Claude to intelligently decompose large documents into manageable sections using the pypdf library. It streamlines the document processing workflow by analyzing internal metadata for bookmarks, identifying text-based chapter patterns with regex, and verifying boundary accuracy before execution. This skill is particularly valuable for users needing to prepare granular data for RAG systems, NotebookLM, or structured archival, ensuring that large PDFs are segmented according to their natural semantic structure.
