anthropic-xlsx

Automate open, read, edit, and formatting operations on spreadsheet files.

Updated Jun 14, 2024
One-click install
npx skills add https://github.com/Huijiro/dotfiles --skill anthropic-xlsx-huijiro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anthropic-xlsx
Source: https://github.com/Huijiro/dotfiles/tree/main/agents/.agents/skills/anthropic-xlsx
Command: npx skills add https://github.com/Huijiro/dotfiles --skill anthropic-xlsx-huijiro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, defusedxml, lxml, and includes scripts (resource) components.

What problem does it solve?

Use this skill to automate operations on spreadsheet files: open, read, edit, and format, enabling faster data workflows across common formats.

Core Features & Use Cases

  • Open, edit, and format existing spreadsheets (.xlsx, .xlsm) and import from CSV/TSV
  • Create new spreadsheets from data sources and convert between tabular formats
  • Clean, restructure, and normalize messy data to produce production-ready spreadsheets

Quick Start

Create a new workbook from a CSV dataset and save it as an .xlsx file.

Frequently Asked Questions about anthropic-xlsx

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

FAQPage Schema
How do I automate editing and formatting existing .xlsx spreadsheet files?

Automate spreadsheet editing by using scripts to open, read, edit, and format .xlsx files. This approach performs deterministic transformations via openpyxl, with safeguards that preserve your data and maintain original templates.

Can I create a new .xlsx workbook from CSV or TSV data sources?

Yes, you can create new spreadsheets from data sources. The tool imports CSV and TSV inputs, converts between tabular formats, and cleans messy data to produce production-ready .xlsx or .xlsm files.

Does openpyxl support preserving templates and validating outputs during spreadsheet automation?

openpyxl supports spreadsheet automation by executing deterministic transformations. The process includes safeguards that preserve data, maintain templates, and validate outputs to ensure reliable formatting and restructuring.

What is the best way to clean and restructure messy tabular data for reporting?

The best way to clean and restructure messy data is to normalize tabular inputs using targeted scripts. This normalizes data, converts between formats like CSV and .xlsx, and produces production-ready spreadsheets for reporting.

What file formats are supported for automated spreadsheet conversion and data cleaning?

Supported file formats include .xlsx, .xlsm, .csv, and .tsv. You can convert between these tabular formats to clean, restructure, and normalize data, enabling faster and more reliable data workflows.

Why use defusedxml and lxml dependencies for spreadsheet automation tasks?

The defusedxml and lxml dependencies provide secure and efficient XML parsing when processing .xlsx files. Combined with openpyxl, they ensure deterministic transformations and data validation while protecting against XML vulnerabilities.