xlsx

Open, read, edit, format, and convert spreadsheet files across tabular formats.

Updated Jun 8, 2025
One-click install
npx skills add https://github.com/noartem/kawa --skill xlsx-noartem
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/noartem/kawa/tree/main/ui/.ai/skills/xlsx
Command: npx skills add https://github.com/noartem/kawa --skill xlsx-noartem

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the routine and error-prone tasks involved in managing spreadsheet files, including opening, reading, editing, formatting, validating, and converting between common tabular formats.

Core Features & Use Cases

  • Open, read, edit, format, and validate .xlsx, .xlsm, .csv, and .tsv files.
  • Create new spreadsheets from scratch or from existing data sources, and convert between tabular formats.
  • Use cases include cleaning messy data, restructuring tables, applying formulas, and exporting results to other formats.

Quick Start

Load a sample file and apply a basic format and a simple formula.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate spreadsheet formatting and data conversion for .xlsx and .csv files?

Automating spreadsheet formatting and data conversion is achieved by applying deterministic, formula-driven processing to open, read, edit, and validate .xlsx, .xlsm, .csv, and .tsv files. This approach handles restructuring tables and exporting results between tabular formats using standard Python Excel libraries.

Can I apply formulas and create new sheets when editing an existing .xlsm file?

Applying formulas and creating new sheets in an existing .xlsm file is fully supported. The process automates spreadsheet file manipulation end-to-end, allowing you to edit, format, and compute formulas while maintaining clear data provenance across your tabular workflows.

What is the best way to clean messy data and restructure tables in a .tsv file?

Cleaning messy data and restructuring tables in a .tsv file is best handled through automated spreadsheet manipulation. This method reads, edits, and validates your tabular data deterministically, applying formulas and formatting to resolve inconsistencies before converting it to another format.

Does this spreadsheet automation support converting .csv data into a formatted .xlsx workbook?

Converting .csv data into a formatted .xlsx workbook is supported. The conversion process reads your raw tabular data, applies the necessary formatting and formulas, and outputs a fully structured spreadsheet, fulfilling deterministic, formula-driven processing across formats.

How do I validate spreadsheet data and ensure clear data provenance during file manipulation?

Validating spreadsheet data and ensuring clear data provenance during file manipulation is handled by applying deterministic, formula-driven processing. This standard Python Excel library approach reads, edits, and validates your .xlsx and .csv files to maintain accurate data lineage throughout the workflow.

Can I create a new spreadsheet from scratch or convert between tabular formats without manual entry?

Creating a new spreadsheet from scratch or converting between tabular formats without manual entry is a core feature. The automation reads existing data sources, applies formatting and formulas, and generates new .xlsx, .xlsm, .csv, or .tsv files end-to-end.