spreadsheet

Name: spreadsheet
Availability: InStock
Author: smrik

Automate creation, editing, and analysis of .xlsx, .csv, and .tsv spreadsheets.

1|Updated Mar 5, 2026

Search Tags:#automation #data analysis #pandas #openpyxl #spreadsheet #excel

Ready to run

npx skills add https://github.com/smrik/ai-fund --skill spreadsheet-smrik

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, matplotlib, and includes references (resource) and assets (resource) components.

What problem does it solve?

This skill solves the challenge of managing, analyzing, and formatting complex spreadsheet data without manual errors or broken formulas.

Core Features & Use Cases

Automated Workbook Generation: Create structured Excel files with pre-defined formulas, formatting, and layouts.
Data Analysis & Transformation: Use pandas to filter, aggregate, and pivot large datasets before exporting to clean, professional reports.
Visual Verification: Render sheets to PDF or images to ensure layout accuracy before final delivery.

Quick Start

Use the spreadsheet skill to create a new workbook named financial_report.xlsx that includes a summary sheet with calculated totals and specific cell formatting.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema

How do I automate Excel workbook generation and prevent broken formulas?▼

Automated Excel workbook generation uses Python libraries like openpyxl and pandas to programmatically create files with pre-defined formulas, formatting, and layouts, ensuring formula integrity and layout consistency without manual errors.

Can I use pandas to filter and aggregate large datasets before exporting to Excel?▼

Yes, pandas can filter, aggregate, and pivot large datasets before exporting them to clean, professional spreadsheet reports in .xlsx, .csv, or .tsv formats.

Does this approach support financial modeling and data aggregation in spreadsheets?▼

Yes, this approach supports complex financial modeling and data aggregation tasks within spreadsheet files by leveraging Python-based libraries to automate calculations and structure data programmatically.

What is the best way to verify spreadsheet layout accuracy before final delivery?▼

The best way to verify layout accuracy is through visual verification, rendering spreadsheet sheets to PDF or images to check formatting and layout consistency before final delivery.

Do I need openpyxl and matplotlib to run automated spreadsheet workflows?▼

Yes, openpyxl is needed for creating and editing .xlsx files with formula integrity, while matplotlib and pandas are required for data analysis, transformation, and visual rendering tasks.