What libraries does this skill use for spreadsheet operations?

It leverages pandas for high-speed data analysis and openpyxl for tasks requiring complex formatting, formulas, and precise Excel-specific features.

Can I use it to update existing Excel templates?

Yes, the skill is designed to analyze existing workbooks and match their specific styles, conventions, and formatting patterns without overriding them.

Can this skill handle complex Excel formulas?

Yes, it prioritizes writing native Excel formulas over hardcoded Python results to ensure your spreadsheets remain dynamic and recalculate correctly when data changes.

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

The skill utilizes a mandatory recalculation workflow via LibreOffice and a custom script to verify all cell references and formula logic before the file is finalized.

Does it support professional financial modeling standards?

Absolutely. It follows industry-standard color coding (blue for inputs, black for formulas) and strict number formatting (currency units, multiples, and accounting zeros).

Excel & Spreadsheet Management

Name: Excel & Spreadsheet Management
Author: zhu1090093659

byzhu1090093659

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생산성 및 워크플로

Automates comprehensive spreadsheet creation, data analysis, and professional financial modeling using Excel formulas and Python integration.

소개

This skill empowers Claude to act as a sophisticated spreadsheet engineer, capable of creating, editing, and analyzing .xlsx, .csv, and .tsv files with high precision. It bridges the gap between Python's data manipulation libraries (pandas, openpyxl) and native Excel functionality by prioritizing dynamic formulas over hardcoded values. Whether building complex financial models with industry-standard color coding or performing deep data analysis, the skill ensures data integrity through a mandatory formula recalculation and error-checking workflow using LibreOffice, delivering error-free models suitable for professional environments.

주요 기능

Support for multi-sheet workbooks, data visualization, and comprehensive documentation of assumptions.
Dynamic formula generation to ensure spreadsheets remain interactive and updateable.
Automated formula recalculation and error detection to eliminate #REF! and #DIV/0! errors.
65 GitHub stars
Professional financial modeling standards including specific color coding and number formatting.
Seamless integration with pandas for data analysis and openpyxl for complex formatting.

사용 사례

Automating the cleaning and analysis of large CSV datasets into polished, formatted Excel reports.
Updating existing corporate Excel templates while strictly preserving original styles and formula logic.
Building investment-grade financial models with standardized formatting and dynamic projections.

소개

주요 기능

Support for multi-sheet workbooks, data visualization, and comprehensive documentation of assumptions.
Dynamic formula generation to ensure spreadsheets remain interactive and updateable.
Automated formula recalculation and error detection to eliminate #REF! and #DIV/0! errors.
65 GitHub stars
Professional financial modeling standards including specific color coding and number formatting.
Seamless integration with pandas for data analysis and openpyxl for complex formatting.

사용 사례

Automating the cleaning and analysis of large CSV datasets into polished, formatted Excel reports.
Updating existing corporate Excel templates while strictly preserving original styles and formula logic.
Building investment-grade financial models with standardized formatting and dynamic projections.