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peteanderson80
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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
One-click install
npx skills add https://github.com/peteanderson80/skills --skill spreadsheet-peteanderson80
Or copy as Structured Prompt for Agent▼
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.

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