xlsx

Create, edit, analyze, and convert Excel spreadsheet files with formulas.

1|Updated May 5, 2026
One-click install
npx skills add https://github.com/kollaborai/kollab --skill xlsx-kollaborai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/kollaborai/kollab/tree/main/bundles/skills/xlsx
Command: npx skills add https://github.com/kollaborai/kollab --skill xlsx-kollaborai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, defusedxml, lxml, and includes scripts (resource) components.

What problem does it solve?

Spreadsheet tasks—from quick data cleaning to complex financial modeling—often break down when formulas hardcode values, formatting becomes inconsistent, or files fail to recalculate properly. This Skill provides a complete, production-grade workflow for creating, editing, and validating Excel files with enforced standards and automated formula recalculation.

Core Features & Use Cases

  • Professional Spreadsheet Creation: Build new .xlsx, .xlsm, .csv, or .tsv files from scratch or data sources with proper formatting, fonts, and structure.
  • Formula-Driven Editing: Modify existing spreadsheets while preserving templates and using Excel formulas instead of hardcoded values, ensuring dynamic recalculation.
  • Financial Modeling: Apply industry-standard color coding, number formatting, and assumption placement for robust financial models.
  • Data Cleaning & Conversion: Restructure messy tabular data with malformed rows and misplaced headers into proper spreadsheets, or convert between tabular formats.

Quick Start

Use the xlsx skill to load the file 'budget-model.xlsx', verify that all formulas recalculate without errors, and apply the standard blue font color to all hardcoded input cells.

Frequently Asked Questions about xlsx

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Excel spreadsheet creation and formula recalculation without hardcoding values?

Excel financial modeling enforces industry-standard color coding and assumption placement using openpyxl, ensuring proper number formatting and template preservation. This approach maintains professional structure while applying dynamic formulas instead of static hardcoded values.

What is the best way to clean messy tabular data and convert it into a structured spreadsheet?

Cleaning messy tabular data involves using pandas to restructure malformed rows and misplaced headers into proper spreadsheets, enabling cross-format conversion between .xlsx, .csv, and .tsv files. This process ensures consistent formatting and proper data alignment.

Does this spreadsheet automation workflow require LibreOffice for formula recalculation?

Yes, spreadsheet formula recalculation requires LibreOffice to dynamically evaluate formulas and enforce zero calculation errors across .xlsx and .xlsm files. This dependency ensures accurate financial modeling outputs without manual recalculation or hardcoded values.

Can I edit existing .xlsx files while preserving their original templates and formatting?

Editing existing .xlsx files while preserving templates uses openpyxl to maintain original formatting, professional fonts, and structural integrity. This ensures modifications apply formulas dynamically without breaking the established layout or hardcoded input conventions.

Why do my spreadsheet formulas show errors after automated data cleaning and format conversion?

Spreadsheet formula errors during data cleaning often occur when formulas recalculate improperly without LibreOffice validation or when values are hardcoded instead of dynamically linked. Enforcing zero formula errors requires automated recalculation and proper cross-format transformation.