Chunk long documents into structured blocks with heading context.
npx skills add https://github.com/memect/kc --skill document-chunking
Please help me install this Agent Skill. Skill: document-chunking Source: https://github.com/memect/kc/tree/main/template/skills/zh/document-chunking Command: npx skills add https://github.com/memect/kc --skill document-chunking
Breaks long documents into structured blocks for downstream processing, enabling efficient review, extraction workflows, and batch processing of regulatory texts.
Provide a sample document to chunk and obtain structured blocks ready for downstream analysis.
High-intent search queries and answers about installing and using this skill.
Chunk long regulatory documents using a hierarchical onion-peeling strategy that preserves parent heading chains within each block, maintaining provenance and navigation context for downstream extraction workflows.
Breaking unstructured long documents into blocks uses a wedge-in fallback approach when document structure is absent, ensuring continuous block output suitable for downstream batch processing and extraction tasks.
Yes, you can chunk documents by page, fixed size, or title to rapidly explore data and generate production-ready blocks for immediate downstream analysis without complex setup.
Structure-preserving chunking keeps the parent heading chain attached to each block, ensuring downstream agents receive full contextual provenance for accurate extraction from long regulatory texts.
Cheap chunking methods like page, fixed-size, or title splitting offer rapid exploration but lack deep structural awareness, making them less suitable than onion-peeling for complex hierarchical regulatory documents.
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