anthropic-xlsx

Process spreadsheet files across .xlsx, .xlsm, .csv, and .tsv formats.

4|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/TTAWDTT/Aelin --skill anthropic-xlsx-ttawdtt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: anthropic-xlsx
Source: https://github.com/TTAWDTT/Aelin/tree/main/backend/deepagents_skills/anthropic-xlsx
Command: npx skills add https://github.com/TTAWDTT/Aelin --skill anthropic-xlsx-ttawdtt

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Use this Skill to automate handling of spreadsheet files as the primary input or output. This covers opening, reading, editing, and fixing existing .xlsx, .xlsm, .csv, or .tsv files; creating new spreadsheets from scratch or from other data sources; and converting between tabular formats. It also triggers when you refer to a spreadsheet by name or path (for example, "the xlsx in my downloads"), and when messy or structured data needs cleaning or restructuring so the result is a proper spreadsheet file.

Core Features & Use Cases

  • Open, read, edit, or fix existing spreadsheets in .xlsx, .xlsm, .csv, or .tsv formats.
  • Create new spreadsheets from scratch or from other data sources.
  • Convert between tabular formats (Excel, CSV, TSV) and reformat data for downstream tools.
  • Trigger on casual references to a spreadsheet file to initiate processing; handle data cleaning, column additions, formula application, formatting, and charting.

Quick Start

Provide a spreadsheet file (e.g., my_data.xlsx) and describe the edits or conversion you want.

Frequently Asked Questions about anthropic-xlsx

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

FAQPage Schema
How do I automate cleaning and editing messy spreadsheet data in xlsx or csv files?

Automate spreadsheet cleaning by processing .xlsx, .xlsm, .csv, or .tsv files to fix messy data, add columns, apply formulas, and restructure outputs into a properly formatted spreadsheet file.

What is the best way to convert a csv file to an xlsx format?

The best way to convert csv data is by using script-driven workflows that read the input file and reformat the tabular data into a new .xlsx spreadsheet file ready for downstream use.

Can I create a new spreadsheet from scratch or from other data sources?

Yes, you can create new spreadsheets from scratch or from other data sources, applying formatting, formulas, and calculations before outputting the final .xlsx or .csv file.

Does this approach work with both .xlsm and .tsv file formats?

Yes, the processing handles .xlsx, .xlsm, .csv, and .tsv file formats, allowing you to open, read, edit, and fix spreadsheets across these different tabular formats.

How do I fix a spreadsheet if the data exports are misaligned?

Fix misaligned data exports by running script-driven workflows that clean and restructure the spreadsheet, ensuring the resulting .xlsx or .csv file is properly formatted.

What dependencies are needed to process spreadsheet files?

Processing spreadsheet files requires the openpyxl, defusedxml, and lxml dependencies to ensure deterministic script-driven workflows and secure parsing of the data.