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minimax-xlsx

Read, create, edit, fix, and validate Excel spreadsheets via deterministic XML tooling.

641|104|Updated Mar 5, 2026
Search Tags:#excel#xlsx#spreadsheet-automation#financial-modeling#xml-editing#formula-validation
One-click install
npx skills add https://github.com/loongclaw-ai/loongclaw --skill minimax-xlsx-loongclaw-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minimax-xlsx
Source: https://github.com/loongclaw-ai/loongclaw/tree/main/skills/minimax-office/minimax-xlsx
Command: npx skills add https://github.com/loongclaw-ai/loongclaw --skill minimax-xlsx-loongclaw-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

MiniMax XLSX removes the risk of corrupting Excel workbooks by providing a deterministic, XML-driven workflow for reading, creating, editing, fixing, and validating spreadsheets so you never round-trip through destructive tools.

Core Features & Use Cases

  • Structured Task Routing: Use scripts for READ, CREATE, EDIT, FIX, and VALIDATE steps with each path documented and chained to the right helper so you always pick the correct entry point.
  • Formula-First Creation & Editing: Build new workbooks from a minimal XML template, edit existing files by unpacking/packing, and keep every derived cell as a live Excel formula while respecting the financial color and formatting standards.
  • Robust Validation: Run formula_check.py (and LibreOffice recalculation when available) to catch cached errors, broken references, and shared-formula issues before outputting the user’s requested spreadsheet.

Quick Start

Use the minimax-xlsx skill to satisfy the spreadsheet request by following the documented READ/CREATE/EDIT/FIX/VALIDATE flow and deliver the exact file the user asked for.

Frequently Asked Questions about minimax-xlsx

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

FAQPage Schema
How do I edit xlsx files without corrupting formulas?▼

Editing xlsx files without corrupting formulas requires a deterministic XML tooling approach that unpacks spreadsheets, applies direct XML edits, and packs them back without destructive round-tripping through automated libraries.

What is the best way to fix broken Excel formulas in a spreadsheet?▼

Fixing broken Excel formulas involves running a validation script like formula_check.py to catch cached errors and broken references, then applying targeted XML edits to repair the spreadsheet structure.

How do I automate financial modeling in Excel while keeping live formulas?▼

Automating financial modeling while keeping live formulas involves building workbooks from minimal XML templates, ensuring every derived cell is expressed as a live Excel formula, and adhering to financial color and formatting standards.

Does pandas work with editing existing xlsx files via XML?▼

Pandas is used for reading data within the xlsx workflow, while editing existing files is handled through unpacking and packing the XML structure directly to prevent destructive round-tripping and formula loss.

Can I create new Excel workbooks from templates using XML tooling?▼

Yes, you can create new Excel workbooks from a minimal XML template using structured XML tooling, ensuring all derived values are live formulas and formatting adheres to the finance color standard.

Why do my spreadsheet formulas break when using standard automation tools?▼

Spreadsheet formulas break when standard automation tools round-trip through destructive processes that strip XML structure; using a deterministic unpack and pack workflow with formula validation prevents this data loss.

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