Can I use this for professional financial modeling?

Absolutely. It follows industry standards, including blue text for hardcoded inputs, black for formulas, and specific formatting for currency and multiples.

How does the skill prevent common Excel errors like #REF! or #DIV/0!?

It includes a mandatory recalculation step using LibreOffice that scans all cells for errors and returns a detailed report to be fixed before the task is completed.

How does it handle existing spreadsheet templates?

The skill is designed to study and exactly match the existing format, style, and conventions of your files, ensuring no standardized formatting is forced on established patterns.

Does this skill support complex Excel formulas?

Yes, it supports full formula construction and includes a recalculation script to ensure all values are updated and error-free before final delivery.

What tools are used for data analysis within the skill?

It utilizes the pandas library for data manipulation and openpyxl for complex formatting and formula preservation, providing the best of both data science and spreadsheet management.

XLSX Advanced Management

Name: XLSX Advanced Management
Author: partme-ai

bypartme-ai

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Data Science & ML

Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.

About

This skill empowers Claude to handle complex spreadsheet tasks ranging from simple CSV parsing to building production-grade financial models. It ensures data integrity through automated formula recalculation using LibreOffice and enforces industry-standard formatting, such as specific color-coding for inputs and calculations. Whether you are performing data analysis with pandas or precisely styling workbooks with openpyxl, this skill provides a robust framework for managing .xlsx files while preserving existing templates and ensuring zero formula errors.

Key Features

Full support for .xlsx, .xlsm, .csv, and .tsv file formats
Seamless integration with pandas for data analysis and openpyxl for cell-level styling
Industry-standard financial modeling with specific color-coding and number formatting
37 GitHub stars
Automated formula recalculation and error verification using LibreOffice integration
Smart template preservation that matches existing styles and conventions automatically

Use Cases

Performing deep data analysis and visualization on large datasets using Python libraries
Updating existing report templates while maintaining original formatting and formula structures
Building dynamic financial models with automated growth rates and valuation multiples

About

Key Features

Full support for .xlsx, .xlsm, .csv, and .tsv file formats
Seamless integration with pandas for data analysis and openpyxl for cell-level styling
Industry-standard financial modeling with specific color-coding and number formatting
37 GitHub stars
Automated formula recalculation and error verification using LibreOffice integration
Smart template preservation that matches existing styles and conventions automatically

Use Cases

Performing deep data analysis and visualization on large datasets using Python libraries
Updating existing report templates while maintaining original formatting and formula structures
Building dynamic financial models with automated growth rates and valuation multiples