xlsx

Automate reading, cleaning, formatting, and updating spreadsheet data across .xlsx, .xlsm, .csv, and .tsv inputs.

10|Updated Jun 3, 2020
One-click install
npx skills add https://github.com/magic3007/dotfiles --skill xlsx-magic3007
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/magic3007/dotfiles/tree/main/claude/project_skills/xlsx
Command: npx skills add https://github.com/magic3007/dotfiles --skill xlsx-magic3007

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates reading, cleaning, formatting, and updating spreadsheet data to reduce manual work and errors in data pipelines.

Core Features & Use Cases

  • Read, clean, and standardize data from .xlsx, .xlsm, .csv, or .tsv inputs.
  • Apply deterministic formatting and formulas to prepare data for analysis or reporting.
  • Generate final spreadsheet deliverables (e.g., cleaned datasets, formatted reports, or data-ready workbooks) for downstream workflows.

Quick Start

Create a ready-to-use workbook by running the XLSX workflow on a sample dataset and review the resulting workbook.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate cleaning and formatting Excel data for reporting?

To automate Excel data cleaning, you read raw spreadsheet inputs, standardize data formats, and apply formulas to produce a final formatted workbook ready for analysis and reporting.

Can I process CSV and TSV files to generate formatted XLSX workbooks?

Yes, processing CSV and TSV files generates formatted XLSX workbooks by reading delimited inputs, cleaning datasets, and applying deterministic formatting to create a final spreadsheet deliverable.

Does openpyxl support applying formulas and charts for automated spreadsheet generation?

Yes, openpyxl supports applying formulas and charts for automated spreadsheet generation, enabling deterministic formatting and computation to produce data-ready workbooks for downstream analysis.

What is the best way to standardize data across XLSM and XLSX files for data pipelines?

The best way to standardize data across XLSM and XLSX files is to automate the reading and cleaning process, reducing manual work and errors while preparing data for downstream pipelines.

Are there limitations when using defusedxml for parsing spreadsheet data?

When using defusedxml for parsing spreadsheet data, limitations center around processing complex macros or large files, as the focus remains on standardizing data-cleaning, formatting, and formula computation rather than executing macro logic.