Office & DocumentsBeginner

minimax-xlsx

Create, read, analyze, and validate Excel/spreadsheet files with ze...

Developer Setup

Setup & Installation

bash

npx skills add https://github.com/MiniMax-AI/skills --skill minimax-xlsx

npx skills add https://github.com/MiniMax-AI/skills --skill minimax-xlsx

Or paste this URL into your assistant to install:

https://github.com/MiniMax-AI/skills/tree/main/skills/minimax-xlsx View on GitHub

Overview

What This Skill Does

Create, read, analyze, and validate Excel/spreadsheet files with zero format loss

Application

When to use this Skill

Integrating minimax xlsx into your development workflow.
Following best practices for create, read, analyze, and validate excel/spreadsheet files with zero format loss.
Automating repetitive tasks with AI-assisted tooling.
Building production-grade applications with proper standards.
Debugging and troubleshooting common implementation issues.

Documentation

Show Skills.md file

MiniMax XLSX Skill

Handle the request directly. Do NOT spawn sub-agents. Always write the output file the user requests.

Task Routing

Task	Method	Guide
READ — analyze existing data	`xlsx_reader.py` + pandas	`references/read-analyze.md`
CREATE — new xlsx from scratch	XML template	`references/create.md` + `references/format.md`
EDIT — modify existing xlsx	XML unpack→edit→pack	`references/edit.md` (+ `format.md` if styling needed)
FIX — repair broken formulas in existing xlsx	XML unpack→fix `<f>` nodes→pack	`references/fix.md`
VALIDATE — check formulas	`formula_check.py`	`references/validate.md`

READ — Analyze data (read `references/read-analyze.md` first)

Start with xlsx_reader.py for structure discovery, then pandas for custom analysis. Never modify the source file.

Formatting rule: When the user specifies decimal places (e.g. "2 decimal places"), apply that format to ALL numeric values — use f'{v:.2f}' on every number. Never output 12875 when 12875.00 is required.

Aggregation rule: Always compute sums/means/counts directly from the DataFrame column — e.g. df['Revenue'].sum(). Never re-derive column values before aggregation.

CREATE — XML template (read `references/create.md` + `references/format.md`)

Copy templates/minimal_xlsx/ → edit XML directly → pack with xlsx_pack.py. Every derived value MUST be an Excel formula (<f>SUM(B2:B9)</f>), never a hardcoded number. Apply font colors per format.md.

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