Xlsx

This gives Claude proper spreadsheet manipulation through openpyxl and pandas, with an emphasis on creating financial models that don't break. The standout feature is mandatory formula recalculation using LibreOffice to catch errors like #REF! and #DIV/0! before you ship. It pushes you toward Excel formulas instead of hardcoding Python calculations, which is the right call if someone else needs to update the spreadsheet later. The guidelines are opinionated about financial modeling conventions (blue for inputs, black for formulas, making zeros display as dashes) but explicitly tell you to ignore them if you're updating an existing template. Works well for building projection models, analyzing datasets, or automating spreadsheet tasks where you need formulas to actually work.

GitHub stars: 6K
last updated: Jun 11, 2026

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Install

$ npx -y skills add thinkinaixyz/deepchat --skill xlsx --agent claude-code

Installs into .claude/skills of the current project.

Files

Requirements for Outputs

All Excel files

Zero Formula Errors

Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)

Preserve Existing Templates (when updating templates)

Study and EXACTLY match existing format, style, and conventions when modifying files
Never impose standardized formatting on files with established patterns
Existing template conventions ALWAYS override these guidelines

Financial models

Color Coding Standards

Unless otherwise stated by the user or existing template

Industry-Standard Color Conventions

Blue text (RGB: 0,0,255): Hardcoded inputs, and numbers users will change for scenarios
Black text (RGB: 0,0,0): ALL formulas and calculations
Green text (RGB: 0,128,0): Links pulling from other worksheets within same workbook
Red text (RGB: 255,0,0): External links to other files
Yellow background (RGB: 255,255,0): Key assumptions needing attention or cells that need to be updated