xlsx

Read, edit, validate, and export Excel and CSV spreadsheets.

Updated Apr 4, 2026

Search Tags:#automation #formulas #excel #xlsx #csv #data-processing #data-cleaning

Ready to run

npx skills add https://github.com/hellitonsm/genesis-project --skill xlsx-hellitonsm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/hellitonsm/genesis-project/tree/main/tools/xlsx
Command: npx skills add https://github.com/hellitonsm/genesis-project --skill xlsx-hellitonsm

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Spreadsheet data often starts messy, incomplete, or spread across multiple sheets; this skill helps automate the lifecycle of such data by cleaning, validating, transforming, and exporting.

Core Features & Use Cases

Open, read, edit, and normalize Excel workbooks (.xlsx/.xlsm) and related tabular formats (CSV/TSV).
Validate structure, enforce required columns, apply formulas, auto-adjust formatting, and export to CSV or flattened reports.
Real-world use: clean messy datasets, recalc formulas, and generate CSV feeds for downstream systems.

Quick Start

Create a clean Excel workbook from raw data and export a CSV.

Frequently Asked Questions about xlsx

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

FAQPage Schema

How do I automate Excel data cleaning and formula application across multiple spreadsheets?▼

Automate Excel data cleaning by reading, validating, and normalizing spreadsheets to enforce required columns and apply formulas. It processes .xlsx and .xlsm workbooks end-to-end, handling data transformation and formatting automatically.

Can I convert CSV or TSV files into formatted .xlsx workbooks for downstream pipelines?▼

Yes, you can convert CSV and TSV files into formatted .xlsx workbooks. The process reads tabular inputs, normalizes the structure, applies formatting, and exports flattened reports or spreadsheet outputs for downstream pipelines.

Does openpyxl support validating required columns and recalculating formulas in messy datasets?▼

Yes, leveraging openpyxl allows validating structure and enforcing required columns in messy datasets. The operations apply and recalculate formulas deterministically, ensuring robust error handling while normalizing the workbook data.

What is the best way to export cleaned Excel workbook data into CSV feeds?▼

The best way to export cleaned Excel data into CSV feeds is by reading and validating the workbook structure, applying necessary formulas, and then exporting the normalized data directly to CSV format for downstream systems.

Can I use Python data libraries like pandas to process and flatten multi-sheet Excel workbooks?▼

Yes, integrating with Python data libraries like pandas enables processing and flattening multi-sheet Excel workbooks. The workflow reads, edits, and normalizes data across sheets, ensuring deterministic operations for data pipelines.

Why do my automated Excel workflows fail when processing corrupted or incomplete spreadsheet data?▼

Automated Excel workflows fail on incomplete data when required columns are missing or structure is invalid. Robust error handling validates inputs and enforces deterministic operations to prevent pipeline failures on messy datasets.