spreadsheet

Automate spreadsheet creation, editing, and analysis across XLSX, CSV, and TSV formats.

Updated Apr 11, 2026

Search Tags:#openpyxl #formulas #spreadsheet #data-analysis #xlsx #csv

Ready to run

npx skills add https://github.com/Anthony9906/agent-skills --skill spreadsheet-anthony9906

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/Anthony9906/agent-skills/tree/main/spreadsheet
Command: npx skills add https://github.com/Anthony9906/agent-skills --skill spreadsheet-anthony9906

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Spreadsheets are central to data capture and analysis but can become tedious and error-prone when creating, updating, and validating formulas across multiple sheets. This Skill streamlines building, editing, and auditing spreadsheets while preserving formulas and formatting.

Core Features & Use Cases

Create, edit, and format spreadsheets while preserving formulas across sheets using Python's openpyxl.
Analyze data with Pandas/openpyxl workflows and export results as CSV or Excel.
Validate layouts and render basic visuals, ensuring a clear separation between inputs and outputs for reliable reporting.
Example: build a two-sheet workbook that tracks tasks with a calculated total per row.

Quick Start

Create a new workbook with two sheets and a computed column using openpyxl.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema

How do I automate spreadsheet creation and editing while preserving formulas?▼

You can automate spreadsheet creation and editing using openpyxl-based workflows that preserve formulas and formatting across multiple sheets. The Skill ensures formulas remain intact during data cleaning and reporting tasks, enforcing clear input and output separation.

What is the best way to edit XLSX files without losing existing formula calculations?▼

The best way to edit XLSX files without losing formulas is using an openpyxl-driven approach that preserves formula calculations and formatting. The Skill provides recalculation guidance and validates output rendering to ensure reliable reporting workflows.

Can I use openpyxl to analyze CSV and TSV data and export results to Excel?▼

Yes, you can analyze CSV and TSV data and export results to Excel. The Skill supports data analysis workflows across XLSX, CSV, and TSV formats, allowing you to clean data and model workflows while maintaining stable file naming conventions.

Does this spreadsheet automation approach work for building multi-sheet workbooks with computed columns?▼

Yes, this approach works for building multi-sheet workbooks with computed columns. It automates calculated totals per row and validates layouts, ensuring clear separation between inputs and outputs for reliable reporting and data modeling.

What are the limitations of using openpyxl for spreadsheet automation and reporting?▼

Limitations of using openpyxl for spreadsheet automation include potential constraints with complex visual rendering and formula recalculation dependencies. The Skill mitigates this by enforcing stable file naming, validating layouts, and providing recalculation guidance for reliable outputs.