minimax-xlsx

The minimax-xlsx skill is designed for working with Excel and spreadsheet files, including .xlsx, .xlsm, .csv, and .tsv formats. It supports reading, analyzing, creating, editing, validating, and repairing spreadsheet data while preserving file integrity and formatting. The skill is particularly useful for workflows involving financial models, pivot tables, formulas, and structured tabular datasets. It provides a reliable approach for spreadsheet automation by using XML-level editing and validation techniques rather than unsafe workbook round-trips that may corrupt advanced Excel features such as VBA macros, pivots, or sparklines.

The skill includes dedicated workflows for different spreadsheet operations. READ tasks use pandas and structure discovery tools for safe analysis without modifying source files. CREATE tasks generate new spreadsheets from XML templates with formula-driven calculations and professional formatting standards. EDIT tasks directly modify workbook XML to preserve all original sheets, data, and formatting while changing only the requested cells. FIX tasks repair broken formulas inside existing workbooks, while VALIDATE tasks check formula correctness using specialized validation scripts. The documentation also emphasizes strict formatting rules, including consistent decimal precision handling and aggregation best practices for reliable data analysis.

This skill is intended for analysts, finance teams, developers, operations professionals, and automation workflows that depend on accurate spreadsheet processing. Typical use cases include generating financial reports, updating formulas in enterprise spreadsheets, validating calculation accuracy, creating formatted Excel deliverables, analyzing CSV datasets, and safely editing complex workbooks that contain advanced Excel features. It is especially valuable in environments where preserving workbook integrity and avoiding accidental corruption are critical requirements.