xlsx

Automates Excel workbook validation, repair, and formula recalculation for XLSX outputs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/MaxDehaut/default-repository --skill xlsx-maxdehaut
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/MaxDehaut/default-repository/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/MaxDehaut/default-repository --skill xlsx-maxdehaut

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Excel workbooks often suffer from messy data, broken formulas, and inconsistent structures that waste time and invite errors. This Skill automates reading, editing, validating, and repairing XLSX files to ensure data integrity and repeatable results.

Core Features & Use Cases

  • Automated formula recalculation: Recompute formulas across sheets to ensure outputs reflect the latest data.
  • Data cleaning and restructuring: Detect and fix common data quality issues, header misalignments, and malformed rows.
  • End-to-end workbook workflows: Unpack, validate against basic checks, repair, and repack XLSX workbooks for sharing.

Quick Start

Open an Excel workbook, and let the tool recalculate formulas, validate structure, and produce a clean XLSX output.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel formula recalculation across multiple sheets in an XLSX workbook?

Automated Excel formula recalculation updates cross-sheet formulas by processing XLSX files with openpyxl and a LibreOffice script, ensuring workbook outputs reflect the latest source data. This recalculation verifies integrity and repairs broken formula references.

What is the best way to clean messy data and fix header misalignments in Excel files?

Cleaning messy Excel data involves detecting and fixing header misalignments, malformed rows, and inconsistent structures within XLSX workbooks. The process validates workbook structure, repairs common data quality issues, and produces clean, finalized outputs.

Can I validate and repair broken Excel workbooks without opening them manually?

Yes, validating and repairing Excel workbooks can be fully automated by unpacking XLSX files, applying structural checks, and repacking them for sharing. This workflow handles formula recalculation and data consistency without manual Excel intervention.

Does this Excel automation approach work with Python libraries like openpyxl for XLSX files?

Yes, this Excel automation approach relies on Python libraries, specifically using openpyxl for handling formulas and formatting in XLSX files. It also integrates defusedxml and lxml for secure XML processing during the pack and unpack workflows.

How do I update cross-sheet formulas and produce finalized XLSX outputs from messy sources?

Updating cross-sheet formulas and producing finalized XLSX outputs involves unpacking source workbooks, applying data cleaning, and running a LibreOffice-based recalculation script. This ensures all formulas are updated and the final XLSX output is structurally validated.

What are the limitations of using openpyxl for Excel formula validation and recalculation?

While openpyxl handles formula parsing and formatting, pure Python cannot fully recalculate all Excel formulas natively. This limitation is addressed by integrating a LibreOffice-based recalculation script to verify formula integrity and ensure accurate data outputs.