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Minimax Xlsx

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MiniMax-AI
minimax-xlsx

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

Overview

PublisherMiniMax-AI
Repositoryskills
Skill nameminimax-xlsx
Stars
13.6K
Forks
1.2K
Bundled files
23
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 23 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by MiniMax-AI on GitHub. Read the source before you install it.

Installation

Install the Minimax Xlsx AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MiniMax-AI/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/minimax-xlsx .claude/skills/minimax-xlsx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Minimax Xlsx in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Minimax Xlsx on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Minimax Xlsx is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MiniMax XLSX Skill

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

Task Routing

TaskMethodGuide
READ — analyze existing dataxlsx_reader.py + pandasreferences/read-analyze.md
CREATE — new xlsx from scratchXML templatereferences/create.md + references/format.md
EDIT — modify existing xlsxXML unpack→edit→packreferences/edit.md (+ format.md if styling needed)
FIX — repair broken formulas in existing xlsxXML unpack→fix <f> nodes→packreferences/fix.md
VALIDATE — check formulasformula_check.pyreferences/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.

EDIT — XML direct-edit (read references/edit.md first)

CRITICAL — EDIT INTEGRITY RULES:

  1. NEVER create a new Workbook() for edit tasks. Always load the original file.
  2. The output MUST contain the same sheets as the input (same names, same data).
  3. Only modify the specific cells the task asks for — everything else must be untouched.
  4. After saving output.xlsx, verify it: open with xlsx_reader.py or pandas and confirm the original sheet names and a sample of original data are present. If verification fails, you wrote the wrong file — fix it before delivering.

Never use openpyxl round-trip on existing files (corrupts VBA, pivots, sparklines). Instead: unpack → use helper scripts → repack.

"Fill cells" / "Add formulas to existing cells" = EDIT task. If the input file already exists and you are told to fill, update, or add formulas to specific cells, you MUST use the XML edit path. Never create a new Workbook(). Example — fill B3 with a cross-sheet SUM formula:

bash
python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# Find the target sheet's XML via xl/workbook.xml → xl/_rels/workbook.xml.rels
# Then use the Edit tool to add <f> inside the target <c> element:
#   <c r="B3"><f>SUM('Sales Data'!D2:D13)</f><v></v></c>
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Add a column (formulas, numfmt, styles auto-copied from adjacent column):

bash
python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/xlsx_work/ --col G \
    --sheet "Sheet1" --header "% of Total" \
    --formula '=F{row}/$F$10' --formula-rows 2:9 \
    --total-row 10 --total-formula '=SUM(G2:G9)' --numfmt '0.0%' \
    --border-row 10 --border-style medium
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

The --border-row flag applies a top border to ALL cells in that row (not just the new column). Use it when the task requires accounting-style borders on total rows.

Insert a row (shifts existing rows, updates SUM formulas, fixes circular refs):

bash
python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# IMPORTANT: Find the correct --at row by searching for the label text
# in the worksheet XML, NOT by using the row number from the prompt.
# The prompt may say "row 5 (Office Rent)" but Office Rent might actually
# be at row 4. Always locate the row by its text label first.
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/xlsx_work/ --at 5 \
    --sheet "Budget FY2025" --text A=Utilities \
    --values B=3000 C=3000 D=3500 E=3500 \
    --formula 'F=SUM(B{row}:E{row})' --copy-style-from 4
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Row lookup rule: When the task says "after row N (Label)", always find the row by searching for "Label" in the worksheet XML (grep -n "Label" /tmp/xlsx_work/xl/worksheets/sheet*.xml or check sharedStrings.xml). Use the actual row number + 1 for --at. Do NOT call xlsx_shift_rows.py separately — xlsx_insert_row.py calls it internally.

Apply row-wide borders (e.g. accounting line on a TOTAL row): After running helper scripts, apply borders to ALL cells in the target row, not just newly added cells. In xl/styles.xml, append a new <border> with the desired style, then append a new <xf> in <cellXfs> that clones each cell's existing <xf> but sets the new borderId. Apply the new style index to every <c> in the row via the s attribute:

xml
<!-- In xl/styles.xml, append to <borders>: -->
<border>
  <left/><right/><top style="medium"/><bottom/><diagonal/>
</border>
<!-- Then append to <cellXfs> an xf clone with the new borderId for each existing style -->

Key rule: When a task says "add a border to row N", iterate over ALL cells A through the last column, not just newly added cells.

Manual XML edit (for anything the helper scripts don't cover):

bash
python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# ... edit XML with the Edit tool ...
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

FIX — Repair broken formulas (read references/fix.md first)

This is an EDIT task. Unpack → fix broken <f> nodes → pack. Preserve all original sheets and data.

VALIDATE — Check formulas (read references/validate.md first)

Run formula_check.py for static validation. Use libreoffice_recalc.py for dynamic recalculation when available.

Financial Color Standard

Cell RoleFont ColorHex Code
Hard-coded input / assumptionBlue0000FF
Formula / computed resultBlack000000
Cross-sheet reference formulaGreen00B050

Key Rules

  1. Formula-First: Every calculated cell MUST use an Excel formula, not a hardcoded number
  2. CREATE → XML template: Copy minimal template, edit XML directly, pack with xlsx_pack.py
  3. EDIT → XML: Never openpyxl round-trip. Use unpack/edit/pack scripts
  4. Always produce the output file — this is the #1 priority
  5. Validate before delivery: formula_check.py exit code 0 = safe

Utility Scripts

bash
python3 SKILL_DIR/scripts/xlsx_reader.py input.xlsx                 # structure discovery
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --json         # formula validation
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --report      # standardized report
python3 SKILL_DIR/scripts/xlsx_unpack.py in.xlsx /tmp/work/         # unpack for XML editing
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/work/ out.xlsx          # repack after editing
python3 SKILL_DIR/scripts/xlsx_shift_rows.py /tmp/work/ insert 5 1  # shift rows for insertion
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/work/ --col G ... # add column with formulas
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/work/ --at 6 ...  # insert row with data

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Minimax Xlsx AI skill do?

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to prod...

Why use Minimax Xlsx on TypingMind?

Because you install it once and use it with any model. Minimax Xlsx is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Minimax Xlsx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MiniMax-AI/skills/tree/main/skills/minimax-xlsx. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Minimax Xlsx?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Minimax Xlsx?

As many as you like. As long as a model supports skills, you can use Minimax Xlsx with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Minimax Xlsx AI skill free?

Yes. It is published on GitHub by MiniMax-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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