Can I use this for professional financial models?

Absolutely. It follows strict industry standards for color-coding inputs (blue), calculations (black), and links (green/red), along with specific currency and percentage formatting.

Does this skill support complex Excel formulas?

Yes, it prioritizes dynamic Excel formulas over hardcoded values to ensure your spreadsheets remain interactive and updateable by users.

How does it handle formula errors like #REF! or #DIV/0!?

The skill includes a mandatory verification step using a recalculation script to identify and fix formula errors before the file is delivered.

Do I need extra software for formula recalculation?

The skill utilizes a recalc.py script that assumes LibreOffice is available to perform background formula evaluation and ensure data accuracy.

Excel & Spreadsheet Pro

Name: Excel & Spreadsheet Pro
Author: BbgnsurfTech

byBbgnsurfTech

•

Data Science & ML

Automates the creation, editing, and analysis of professional spreadsheets with support for complex formulas and financial modeling standards.

About

This skill empowers Claude to interact natively with Excel files, allowing for sophisticated data manipulation and professional financial modeling. It ensures high-quality output by enforcing zero-error formula rules, preserving existing template formatting, and applying industry-standard color coding and number formats. By leveraging tools like pandas and openpyxl, alongside a dedicated recalculation engine, it bridges the gap between AI-generated data and fully functional, dynamic spreadsheet files that remain updateable for end users.

Key Features

Seamless preservation of existing spreadsheet templates and formatting conventions
3 GitHub stars
Automated formula recalculation and error detection via LibreOffice-backed scripts
Dynamic formula generation using openpyxl to ensure spreadsheets remain updateable
Professional financial modeling with industry-standard color-coding and formatting
Advanced data analysis and visualization capabilities using the pandas library

Use Cases

Building automated financial projection models with dynamic growth rates and assumptions
Analyzing large datasets from CSV or XLSX files and generating visual summary reports
Updating existing corporate templates with new data while maintaining style and formula integrity

About

Key Features

Seamless preservation of existing spreadsheet templates and formatting conventions
3 GitHub stars
Automated formula recalculation and error detection via LibreOffice-backed scripts
Dynamic formula generation using openpyxl to ensure spreadsheets remain updateable
Professional financial modeling with industry-standard color-coding and formatting
Advanced data analysis and visualization capabilities using the pandas library

Use Cases

Building automated financial projection models with dynamic growth rates and assumptions
Analyzing large datasets from CSV or XLSX files and generating visual summary reports
Updating existing corporate templates with new data while maintaining style and formula integrity