xlsx-smart-extractor

Extract and analyze Excel workbooks locally using sheet-based chunking and persistent caching to minimize token usage. This approach preserves formulas, formatting, and complex table structures while enabling efficient queries across multi-sheet files up to 50MB+.

Yes, xlsx-smart-extractor preserves formulas, formatting, and named ranges during extraction. This is especially useful for compliance matrices and financial models where formula logic and structure must remain queryable.

Use sheet-level chunking to extract and organize workbooks with 5+ sheets into queryable cached structures. This enables rapid retrieval of relevant sections by sheet, column, or value range without loading the entire file into memory.

Perform zero-LLM extraction using local caching to analyze Excel workbooks on your machine. Query the cached data structure for compliance matrices, dashboards, and data tables while keeping sensitive information local.

Yes, xlsx-smart-extractor uses openpyxl and pandas as dependencies to extract and structure Excel data. This integration enables both formula-aware extraction and tabular data manipulation within a single workflow.

This Skill handles multi-sheet workbooks up to 50MB+ with sheet-based chunking and caching. It's designed for compliance matrices, financial models, and large data tables where traditional token-based approaches become prohibitively expensive.