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document-parser

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Building robust document ingestion — chunking, metadata, and multi-format pipelines for search and RAG.

skills/document-parser/SKILL.md

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## Overview

Modern applications ingest documents for search, retrieval-augmented generation
(RAG), and analytics. A document parser pipeline turns heterogeneous files
(PDF, DOCX, HTML, spreadsheets, images) into clean, chunked, metadata-rich
units ready for indexing. This skill covers the architecture and the details
that determine retrieval quality.

## When to use

- Building RAG ingestion over PDFs, Office docs, and web pages
- Designing chunking strategies (size, overlap, semantic boundaries)
- Extracting metadata (titles, dates, authors, page numbers, source URLs)
- Handling tables, figures, and scanned content in parsing
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