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

The skill includes a mandatory verification step that scans all cells after generation to identify and report any calculation errors, ensuring every spreadsheet is delivered error-free.

Can I use it to analyze large datasets?

Absolutely. The skill integrates with the pandas library, allowing Claude to perform high-performance data manipulation, filtering, and statistical analysis on any spreadsheet.

How does this skill handle Excel formulas?

It uses openpyxl to write formulas as strings and a specialized recalc.py script powered by LibreOffice to ensure all values are correctly calculated and verified before delivery.

Does it support industry-standard financial formatting?

Yes, it follows standard conventions such as blue text for hardcoded inputs, black for formulas, and specific formatting for currency, percentages, and multiples.

Advanced Excel & Spreadsheet Manager

Name: Advanced Excel & Spreadsheet Manager
Author: partme-ai

bypartme-ai

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Data Science & ML

Enables comprehensive spreadsheet creation, editing, and professional financial modeling using Python and LibreOffice.

About

This skill empowers Claude to handle complex spreadsheet tasks, ranging from simple data analysis with pandas to sophisticated financial modeling with openpyxl. It enforces industry-standard formatting, ensures zero formula errors through automated recalculation via LibreOffice, and preserves existing templates. Whether you are generating reports, analyzing CSV data, or building dynamic financial models with strict color-coding and documentation standards, this skill provides the tools and best practices to deliver production-grade Excel files that remain dynamic and updateable.

Key Features

Industry-standard financial modeling with specific color coding and number formatting
Strict preservation of existing spreadsheet templates and style conventions
37 GitHub stars
Advanced formula management and mandatory recalculation via LibreOffice integration
Seamless integration with pandas for robust data analysis and visualization
Comprehensive error detection and automated verification for all cell references

Use Cases

Automating the update of large spreadsheet templates while maintaining existing formatting and conventions
Generating professional financial models with dynamic formulas and specific color-coded inputs
Analyzing and visualizing data from CSV or Excel files using Python's pandas library for rapid insights

About

Key Features

Industry-standard financial modeling with specific color coding and number formatting
Strict preservation of existing spreadsheet templates and style conventions
37 GitHub stars
Advanced formula management and mandatory recalculation via LibreOffice integration
Seamless integration with pandas for robust data analysis and visualization
Comprehensive error detection and automated verification for all cell references

Use Cases

Automating the update of large spreadsheet templates while maintaining existing formatting and conventions
Generating professional financial models with dynamic formulas and specific color-coded inputs
Analyzing and visualizing data from CSV or Excel files using Python's pandas library for rapid insights