spreadsheet

Name: spreadsheet
Availability: InStock
Author: Yanun

Create, edit, analyze, and validate spreadsheets while preserving formulas and formatting.

1|Updated Jan 6, 2026

Search Tags:#python #pandas #openpyxl #spreadsheet #data-analysis #data-automation #formula-preservation

Ready to run

npx skills add https://github.com/yanun0323/.codex --skill spreadsheet

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spreadsheet
Source: https://github.com/yanun0323/.codex/tree/main/skills/spreadsheet
Command: npx skills add https://github.com/yanun0323/.codex --skill spreadsheet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Spreadsheet tasks are repetitive and error-prone when creating, editing, validating formulas, and preserving formatting across .xlsx, .csv, and .tsv. This skill provides automated tooling to reason about data in spreadsheets.

Core Features & Use Cases

Create, edit, analyze, and preserve formulas and formatting in Excel and CSV-like formats using Python.
Validate references and consistency across sheets, and automate common reporting tasks.
Use Case: Generate a formatted workbook with a summary sheet and computed metrics from a data source.

Quick Start

Create a formatted Excel workbook with a summary sheet from a sample dataset.

Frequently Asked Questions about spreadsheet

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

FAQPage Schema

How do I edit Excel files with Python while preserving formulas and formatting?▼

To edit Excel files while preserving formulas and formatting, use Python libraries like openpyxl and pandas. This approach enforces formula integrity, manages cross-sheet references, and maintains formatting during data entry and cleaning workflows.

Can I use Python to create a formatted workbook with a summary sheet from a dataset?▼

Yes, you can use Python to create a formatted workbook with a summary sheet from a dataset. This automated workflow computes metrics, applies formatting, and validates data consistency across sheets for reporting tasks.

Does openpyxl support cross-sheet references and formula validation in xlsx files?▼

Yes, openpyxl supports cross-sheet references and formula validation in xlsx files. The workflow enforces formula integrity and validates references across sheets, ensuring computed metrics remain consistent during automated data entry and reporting.

What is the best way to automate data cleaning and analysis across csv and tsv files?▼

The best way to automate data cleaning and analysis across csv and tsv files is using Python with pandas. This workflow handles data entry, validation, and reporting while supporting batch processing and stable file naming for consistent outputs.

How do I validate spreadsheet references and data consistency across multiple sheets?▼

To validate spreadsheet references and data consistency across multiple sheets, use Python to automate the checking process. This workflow validates cross-sheet references, enforces formula integrity, and ensures data consistency throughout the workbook.

Are there limitations when using pandas for batch processing of Excel files?▼

When using pandas for batch processing of Excel files, limitations relate to formula preservation and formatting. Supplementing pandas with openpyxl enforces formula integrity, manages cross-sheet references, and provides stable file naming for reliable rendering outputs.