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xlsx

Open, transform, and validate Excel workbooks via a deterministic XML pipeline.

1.5k|180|Updated Feb 13, 2026
Search Tags:#automation#validation#excel#xlsx#xml#data-processing
One-click install
npx skills add https://github.com/Memento-Teams/Memento-Skills --skill xlsx-memento-teams
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Memento-Teams/Memento-Skills/tree/main/builtin/skills/xlsx
Command: npx skills add https://github.com/Memento-Teams/Memento-Skills --skill xlsx-memento-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill consolidates a repeatable, XML-based workflow to create, read, modify, analyze, and validate Excel workbooks without relying on full-featured Excel APIs, reducing drift and enabling reproducible edits across large spreadsheets.

Core Features & Use Cases

  • Open, create, read, modify, analyze, and validate Excel workbooks (.xlsx, .xlsm) and related tabular formats (.csv, .tsv) using a deterministic XML pipeline.
  • Supports end-to-end lifecycles: unpacking an origin workbook, applying surgical edits via XML, packing back into a valid .xlsx, and running static formula validation to ensure integrity.
  • Use cases include structured data modeling, financial modeling, and workflows requiring cross-sheet references, consistent styling, and formula validation without opening Excel.

Quick Start

Unpack an Excel file, perform XML-based edits using the included scripts, re-pack the workbook, and run validation to ensure zero formula errors.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel file creation and editing without opening Excel?▼

You can automate Excel file creation and editing through a deterministic XML-based pipeline that unpacks workbooks, applies surgical edits, and packs them back into valid .xlsx files without needing the Excel application.

Can I validate formulas in an xlsx workbook programmatically?▼

Yes, you can validate formulas in an xlsx workbook programmatically by running static formula validation checks after editing the XML structure, ensuring zero formula errors and workbook integrity.

Does this approach support reading and modifying csv and tsv files?▼

Yes, the XML pipeline supports reading, modifying, and validating related tabular formats including .csv and .tsv files alongside standard .xlsx and .xlsm workbooks.

What's the best way to edit cross-sheet references and pivot tables in Excel?▼

The best way to edit cross-sheet references and pivot tables is through a modular script set that unpacks the workbook XML, enables targeted modifications, and repacks the file while enforcing safety checks to prevent destructive edits.

Do I need pandas and openpyxl to process Excel workbooks with this method?▼

Yes, you need pandas and openpyxl as dependencies to run the modular scripts that handle workbook transformation, data processing, and XML-based Excel file manipulation.

Why use an XML pipeline instead of standard Excel APIs for workbook automation?▼

An XML pipeline enables reproducible edits across large spreadsheets and reduces drift by bypassing full-featured Excel APIs, ensuring deterministic and safe modifications to complex workbooks with cross-sheet references.

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