Can it handle professional financial modeling standards?

Absolutely. It follows industry conventions for color-coding inputs (blue), formulas (black), and links (green/red) while enforcing specific number formatting for currency and percentages.

Does it preserve existing spreadsheet formatting when editing?

Yes. The skill is designed to study and match existing styles, conventions, and patterns when modifying your templates to ensure consistency.

How are formula errors like #REF! or #DIV/0! prevented?

The skill uses a mandatory recalculation and verification script that scans all cells for errors after modification, ensuring a zero-error delivery.

What file formats are supported?

It provides comprehensive support for .xlsx, .xlsm, .csv, and .tsv files using high-performance Python libraries.

Does this skill support dynamic Excel formulas?

Yes, it prioritizes writing dynamic Excel formulas over hardcoded values, ensuring your spreadsheets remain interactive and updateable.

Excel & Spreadsheet Expert

Name: Excel & Spreadsheet Expert
Author: rysweet

byrysweet

0•

データサイエンスとML

Creates, edits, and analyzes sophisticated Excel spreadsheets with advanced formula support and industry-standard financial formatting.

This skill empowers Claude to perform complex spreadsheet tasks including creating dynamic models with formulas, performing deep data analysis using pandas, and modifying existing templates while preserving professional formatting. It features specialized support for financial modeling standards—including color-coded cell conventions and rigorous error checking—and uses a dedicated recalculation engine via LibreOffice to ensure all spreadsheet values are accurate and completely free of formula errors.

主な機能

01Template preservation and non-destructive file modification

02Automated zero-error verification for cell references and formulas

030 GitHub stars

04Dynamic Excel formula generation and automated recalculation

05Professional financial modeling with industry-standard color coding

06Advanced data analysis and visualization using pandas and openpyxl

ユースケース

01Updating existing corporate spreadsheet templates while maintaining strict formatting rules

02Generating automated financial models with growth assumptions and scenario analysis

03Analyzing large datasets from CSV or XLSX files to generate summary reports

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rysweet/azure-tenant-grapher xlsx

For use in Claude.ai and ChatGPT

Download Skill