spreadsheet

Automate spreadsheet creation, editing, and analysis with formulas and formatting.

1|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/devkeni/Skills --skill spreadsheet-devkeni
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/devkeni/Skills/tree/main/data-documents/spreadsheet
Command: npx skills add https://github.com/devkeni/Skills --skill spreadsheet-devkeni

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Spreadsheet tasks like creating, editing, analyzing, and formatting across .xlsx, .csv, and .tsv can be error-prone and time-consuming; this Skill automates those workflows while preserving formulas and enabling reproducible results.

Core Features & Use Cases

  • Openpyxl-based workbook creation and editing with formatting preservation.
  • Data analysis and transformation with pandas, plus generation of clean, deliverable reports.
  • Recalculation-aware workflow: preserve and recompute formulas to ensure accurate outputs before delivery.

Quick Start

Create a workbook with a data table and a computed column using openpyxl for formatting and pandas for analysis.

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 formatting in .xlsx files?

Automating spreadsheet creation uses openpyxl to build and edit workbooks while preserving formulas and applying formatting. You can generate styled reports, compute derived metrics, and validate data reproducibly across .xlsx formats.

Can I use pandas for spreadsheet analysis and then export a formatted .xlsx report?

Yes, pandas handles the data analysis and transformation, while openpyxl generates the clean, deliverable .xlsx report. This workflow computes derived metrics and applies formatting preservation for accurate outputs.

What is the best way to preserve and recalculate formulas when editing spreadsheets?

The best way to preserve formulas is using a recalculation-aware workflow that recomputes formula values before delivery. This enforces best practices for rendering and ensures the final spreadsheet contains accurate, updated metrics.

Does this approach support data validation and report generation for .csv and .tsv formats?

Yes, the approach supports .csv and .tsv formats for data validation and report generation. It automates these workflows to reduce errors, applying transformations and generating reproducible results across multiple tabular formats.

Do I need openpyxl and pandas installed to build workbooks with computed columns?

Yes, you need openpyxl for workbook manipulation and pandas for data analysis to build workbooks with computed columns. These dependencies are required to execute the formatting and metric computation tasks.

What are the limitations of using openpyxl for spreadsheet manipulation?

A key limitation is ensuring formulas are recalculated correctly, as openpyxl manipulation requires a recalculation-aware workflow to prevent stale metrics. The skill enforces best practices to mitigate formula rendering errors during workbook editing.