spreadsheet

Automates spreadsheet creation, editing, analysis, and formatting with Python libraries.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/ollieb89/.codex --skill spreadsheet-ollieb89
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/ollieb89/.codex/tree/main/skills/.curated/spreadsheet
Command: npx skills add https://github.com/ollieb89/.codex --skill spreadsheet-ollieb89

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps users automate and streamline spreadsheet tasks, reducing manual, repetitive work when creating, editing, analyzing, and formatting spreadsheets while preserving formulas and references.

Core Features & Use Cases

  • Automate creation, editing, analysis, and formatting of spreadsheets with Python libraries such as openpyxl and pandas.
  • Preserve formulas and references during updates, and export results to .xlsx or .csv for reporting.
  • Typical use cases include data cleaning and transformation, budget tracking, dashboard preparation, and quick ad-hoc analyses.

Quick Start

Create a new spreadsheet with two sheets and a simple formula using Python openpyxl.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema
How do I automate Excel data cleaning without breaking existing formulas?

Automate spreadsheet creation, editing, analysis, and formatting using Python libraries like pandas and openpyxl, which handle data cleaning and dashboard preparation while preserving formulas and references.

What's the best way to edit Excel files for dashboard preparation?

Edit Excel files for dashboard preparation by leveraging Python openpyxl to update spreadsheets and preserve cell formulas, combined with pandas for transforming the underlying data before exporting.

Does openpyxl work with pandas for analyzing CSV and TSV files?

Yes, pandas handles the data analysis and transformation for CSV and TSV files, while openpyxl reads and writes the results into Excel formats with formulas and references preserved.

Can I export Python data analysis results to an Excel spreadsheet?

Yes, you can export Python data analysis results to an Excel spreadsheet by using pandas to process the data and openpyxl to format and export the final results to .xlsx or .csv files for reporting.

How do I create a new spreadsheet with multiple sheets and formulas using Python?

Create a new spreadsheet with multiple sheets and formulas using Python by leveraging the openpyxl library, which allows you to generate .xlsx files, add sheets, and define cell formulas programmatically.