xlsx

Read, clean, and format spreadsheet data across xlsx, xlsm, csv, and tsv formats.

17|3|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/archubbuck/workspace-architect --skill xlsx-archubbuck
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/archubbuck/workspace-architect/tree/main/assets/skills/xlsx
Command: npx skills add https://github.com/archubbuck/workspace-architect --skill xlsx-archubbuck

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates handling of spreadsheet files by reading, cleaning, formatting, and transforming data across common tabular formats (xlsx, xlsm, csv, tsv), enabling quick creation of polished spreadsheets from messy inputs.

Core Features & Use Cases

  • Automated cleaning & normalization: detect and fix malformed rows, normalize headers, and standardize data types across columns.
  • Format conversion & export: convert between spreadsheet formats (e.g., CSV/TSV to XLSX) and ensure output is a valid spreadsheet file.
  • Formula & formatting automation: apply formulas, reformat columns, and generate basic charts or summaries as part of the output.
  • Use Case: imagine you have 200 CSV files with inconsistent headers; the xlsx skill can consolidate them into a single, clean Excel workbook with standardized headers and computed fields.

Quick Start

Provide the path to an input spreadsheet (or CSV/TSV) and request the tool to output a cleaned, formatted spreadsheet.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I clean and standardize messy spreadsheet data from multiple CSV files?

Spreadsheet cleaning automates detecting malformed rows, normalizing headers, and standardizing data types across CSV/TSV/XLSX inputs. It outputs a single polished Excel workbook with consistent formatting and computed fields.

Can I convert CSV or TSV files into a formatted XLSX workbook?

Yes, CSV to XLSX conversion parses tabular inputs and writes a valid spreadsheet file. It applies column formatting, formulas, and basic summaries during the export to generate a polished workbook.

Does openpyxl support applying formulas and reformatting columns during data migration?

Yes, openpyxl supports applying formulas and reformatting columns during spreadsheet migration. Combined with lxml and defusedxml, it parses, modifies, and writes spreadsheet content while standardizing data types across columns.

What is the best way to normalize headers and fix malformed rows in Excel files?

Automated data cleaning scripts provide the best way to normalize headers and fix malformed rows in Excel files. They detect structural inconsistencies, standardize data types, and output a polished spreadsheet ready for reporting.

Do I need Python to automate spreadsheet formatting and data conversion tasks?

Yes, automating spreadsheet formatting and data conversion requires Python. The workflow depends on libraries such as openpyxl, defusedxml, and lxml to parse, modify, and write spreadsheet content across formats.

Can this approach consolidate 200 inconsistent CSV files into one clean workbook?

Yes, automated spreadsheet cleaning can consolidate 200 inconsistent CSV files into one clean workbook. It detects malformed rows, standardizes headers, and applies computed fields to generate a single formatted XLSX output.