xlsx

Create and edit Excel workbooks with formulas, formatting, and data visualization.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Holy-Pigeon/AIWorkflow --skill xlsx-holy-pigeon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Holy-Pigeon/AIWorkflow/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/Holy-Pigeon/AIWorkflow --skill xlsx-holy-pigeon

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation, editing, and analysis of Excel workbooks, enabling consistent formulas, formatting, and template preservation across complex spreadsheets.

Core Features & Use Cases

  • Automated workbook creation with formulas and formatting that adhere to established templates.
  • Safe reading, modification, and recalculation of existing spreadsheets while preserving formulas and structure.
  • Use Case: financial modeling, data analysis, and reporting workflows requiring standardized cell styles and clear documentation.

Quick Start

Create a new workbook from a template, apply a standard set of formulas, and format cells to match a given style.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel workbook creation with formulas and formatting?

You can automate Excel workbook creation by using a skill that applies formula-driven cells, standardized formatting, and template preservation to generate .xlsx, .xlsm, or .csv files for financial modeling and reporting.

Can I edit existing spreadsheets while preserving their formulas and structure?

Yes, you can safely read and modify existing spreadsheets while preserving their formulas, structure, and templates, ensuring that standardized cell styles and embedded documentation for hardcoded values remain intact.

What is the best way to recalculate Excel formulas outside of the desktop application?

Recalculating Excel formulas outside the desktop application is handled via a recalc.py script using LibreOffice, which processes the workbook to update formula-driven cells and prevent errors without needing native Excel.

Does this spreadsheet automation approach support financial modeling and data analysis workflows?

This approach supports financial modeling and data analysis workflows by enforcing separate assumptions, formula-driven cells, error-prevention checks, and standardized color and text conventions for clear reporting.

Why should I separate assumptions from formula-driven cells in Excel templates?

Separating assumptions from formula-driven cells in Excel templates prevents hardcoding errors, ensures standardized formatting, and embeds clear documentation for hardcoded values, making financial models easier to audit and refine.