spreadsheet

Automate spreadsheet creation, editing, analysis, and visualization with Python.

2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/alanharrryy-wq/hitech-os --skill spreadsheet-alanharrryy-wq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/alanharrryy-wq/hitech-os/tree/main/.agents/skills/A_worker/spreadsheet
Command: npx skills add https://github.com/alanharrryy-wq/hitech-os --skill spreadsheet-alanharrryy-wq

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill enables automation of creating, editing, analyzing, and visualizing spreadsheets using Python, reducing manual data tasks and ensuring consistent formatting and formulas.

Core Features & Use Cases

  • Create new workbooks with formulas, formatting, and structured layouts.
  • Read, analyze, and summarize data using pandas, and export results to .xlsx or .csv.
  • Visualize data with charts and tables while preserving cell formatting and references.

Quick Start

Create a basic workbook with sample data using Python to verify end-to-end spreadsheet workflows.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema
How do I automate Excel spreadsheet creation and formatting with Python?

You can automate spreadsheet creation and formatting with Python by using openpyxl to build new workbooks with formulas, structured layouts, and preserved cell formatting.

How do I analyze csv or tsv data and export the results to an xlsx file?

You can analyze csv or tsv data and export to xlsx by using pandas to read, summarize, and process the data, then writing the final output to an xlsx or csv file.

Does openpyxl preserve formulas and cell formatting when editing an existing xlsx workbook?

Yes, openpyxl allows you to edit existing xlsx workbooks while preserving formulas, cell formatting, and data references to maintain real-world data integrity.

What is the best way to visualize spreadsheet data while keeping the original cell references intact?

The best way to visualize spreadsheet data while keeping references intact is to use Python tools that render charts and tables alongside openpyxl to preserve the underlying workbook structure.

Can I use pandas for data analysis on xlsx files without losing their original formatting?

Yes, you can use pandas for analyzing xlsx files, and then apply openpyxl-based workbook manipulation to ensure the original formatting and formulas are preserved during the workflow.