spreadsheet

Automate spreadsheet creation, editing, and analysis across .xlsx, .csv, and .tsv files.

Updated Mar 22, 2026

Search Tags:#pandas #openpyxl #spreadsheet #excel #data-analysis #data-processing

Ready to run

npx skills add https://github.com/peteanderson80/skills --skill spreadsheet-peteanderson80

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/peteanderson80/skills/tree/main/skills/spreadsheet
Command: npx skills add https://github.com/peteanderson80/skills --skill spreadsheet-peteanderson80

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Spreadsheet tasks often involve manual, error-prone creation, editing, analysis, and formatting across formats like .xlsx, .csv, and .tsv, leading to wasted time and inconsistent results.

Core Features & Use Cases

Formula-aware editing and formatting with support for common spreadsheet formats.
Data analysis and visualization workflows using Python libraries such as openpyxl and pandas, including recalculation and rendering checks to ensure accuracy.
Use cases include generating baseline reports, validating data quality, and preparing deliverables with consistent styling.

Quick Start

Create a simple workbook with two sheets, add sample data, and apply a basic formula.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema

How do I automate Excel editing and analysis while preserving existing formulas?▼

Automate spreadsheet creation and analysis across .xlsx, .csv, and .tsv formats using pandas and openpyxl. It handles data processing, formula-aware operations, and recalculation to reduce manual toil during reporting and data preparation tasks.

Can I use pandas and openpyxl together for spreadsheet formatting and visualization?▼

Combine pandas and openpyxl for spreadsheet data analysis, formatting, and visualization workflows. This approach supports formula-aware operations, recalculation, and rendering checks to ensure accurate, consistently styled deliverables across .xlsx, .csv, and .tsv files.

Does this approach support .csv and .tsv workflows or only .xlsx files?▼

Spreadsheet automation supports .xlsx, .csv, and .tsv workflows for data processing and analysis. It applies formula-aware operations, recalculation, and visual review across all supported formats to reduce manual toil during reporting.

What is the best way to validate data quality in Excel reports?▼

Validate data quality in spreadsheets through automated formula-aware recalculation and visual review checks. Using openpyxl and pandas ensures consistent styling, accurate analysis, and reliable deliverables while reducing manual, error-prone editing across formats.

How do I generate baseline reports from spreadsheet data without manual formatting?▼

Generate baseline reports from spreadsheet data by automating creation, styling, and formula recalculation. It applies consistent formatting across .xlsx, .csv, and .tsv files, reducing manual toil and ensuring accurate, ready-to-deliver reporting outputs.