heavy-file-ingestion-claude-code

To convert heavy PDF files to markdown for faster analysis, this Skill uses pdfplumber to extract text deterministically and generates a lightweight markdown artifact along with a structural index for efficient review.

Yes, you can extract tables from DOCX and PPTX files into CSV format. The Skill uses python-docx and python-pptx to normalize structured document content into lightweight CSV artifacts for easier data inspection.

The best way to review large spreadsheets without wasting context is converting them to normalized CSV files using openpyxl. This Skill creates a compact index file first, allowing you to inspect the spreadsheet structure before full extraction.

Yes, this document conversion method supports XLSX and TSV files. It uses openpyxl to process spreadsheets and applies deterministic local conversion to transform them into readable markdown or normalized CSV outputs.

Heavy file ingestion may fail if Python libraries like pdfplumber or python-docx are missing. This Skill implements dependency-aware fallback handling to manage extraction errors and ensure continuous document processing.

You need to generate an index file before extracting document content when working with large or structured files. This approach prevents wasted context by letting you inspect the file structure and create a fast content map before deeper review.