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Xlsx

OrganizationPopular
spinabot
xlsx

Build and edit professional Excel (.xlsx) spreadsheets, workbooks, and simple financial models — live formulas, number/date/currency formats, cell styling, conditional formatting, data-validation dropdowns, named ranges, frozen panes, merged cells, multi-sheet. Use when the user asks Brigade to make, fill, update, model, or edit a spreadsheet, workbook, or .xlsx file.

Overview

Publisherspinabot
Repositorybrigade
Skill namexlsx
Stars
4.4K
Forks
50
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by spinabot on GitHub. Read the source before you install it.

Installation

Install the 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/spinabot/brigade.git /tmp/brigade
mkdir -p .claude/skills
cp -r /tmp/brigade/skills/xlsx .claude/skills/xlsx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

xlsx — professional spreadsheets & models

NeedPath
Simple table / multi-sheet dump (headers + rows, optional per-column number format)Path 1 — make_document tool
Live formulas, cell styling, conditional formatting, dropdowns, named ranges, freeze panes, merged cells, datesPath 2 — script the exceljs library via brigade exec-node
Surgical edits to an existing workbookPath 3 — edit_document tool
Guarantee no formula errors / get computed valuesPath 4 — recalc-verify loop (optional soffice)

The two non-negotiable rules (they separate a real model from a hack):

  1. Formulas, never hardcoded results. Write the Excel formula string (=B5*(1+$B$6)), never compute the number in code and paste a literal — so the sheet stays live when inputs change. This applies to every total, percentage, ratio, and growth.
  2. Numbers are numbers. Store 1200000, format for display ($#,##0) — never the string "$1.2M", or it won't sum or sort.

Path 1 — quick table (make_document tool)

make_document(format="xlsx", content={ sheets:[{ name, header, rows, numberFormats }] })

Cells may be string | number | {formula, numFmt}. Fine for a straight data table. For styling, validation, charts, or a model → Path 2.

Path 2 — full power: script the exceljs library

Brigade bundles exceljs. write a gen.cjs, then run brigade exec-node gen.cjs:

js
// gen.cjs — illustrative
const ExcelJS = require("exceljs");
const wb = new ExcelJS.Workbook();
const ws = wb.addWorksheet("Model", { views: [{ state: "frozen", ySplit: 1 }] });   // freeze header row

ws.columns = [
  { header: "Item", key: "item", width: 28 },
  { header: "FY24 ($)", key: "v", width: 16, style: { numFmt: "$#,##0" } },
];
ws.getRow(1).font = { bold: true };
ws.getRow(1).fill = { type: "pattern", pattern: "solid", fgColor: { argb: "FFD9E2F3" } };

// Assumptions block — blue font marks hardcoded INPUTS (banker convention)
ws.getCell("E1").value = "Growth"; ws.getCell("E2").value = 0.18;
ws.getCell("E2").numFmt = "0.0%"; ws.getCell("E2").font = { color: { argb: "FF0000FF" } };
wb.definedNames.add("Model!$E$2", "growth");                                        // named range

ws.addRow({ item: "Revenue", v: 1200000 });
ws.addRow({ item: "Next year", v: { formula: "B2*(1+growth)" } });                  // FORMULA, references the named input
ws.getCell("B3").font = { color: { argb: "FF000000" } };                            // black = formula

// dropdown + conditional formatting
ws.getCell("A6").dataValidation = { type: "list", allowBlank: false, formulae: ['"Low,Med,High"'] };
ws.addConditionalFormatting({ ref: "B2:B3", rules: [
  { type: "cellIs", operator: "lessThan", formulae: ["0"], style: { font: { color: { argb: "FFFF0000" } } } } ]});

wb.xlsx.writeFile(process.argv[2] || "out.xlsx").then(() => console.log("wrote"));

exceljs covers: number/date formats, font/fill/border/alignment, conditional formatting, data-validation dropdowns, named ranges, freeze panes, autofilter, merged cells, images, sheet protection, multi-sheet. Dates: pass a real new Date(...) and set a date numFmt (don't pass a string).

Path 3 — edit an existing workbook (edit_document tool)

  • set_cells {sheet?, cells:[{ref|row,col, value, numFmt?}]} — surgical edits; other sheets untouched.
  • append_rows {sheet?, rows} — grow a table. When editing someone's workbook, match its existing conventions exactly (column order, units, formats) — the template always wins over the defaults here.

Path 4 — recalc-verify loop (the quality guarantee)

exceljs stores formula strings but does not evaluate them — a typo (#REF!, #DIV/0!) is invisible until the file is opened. If LibreOffice is present, force a recalc and inspect; otherwise hand-check ranges and keep formulas simple.

bash
command -v soffice >/dev/null 2>&1 && soffice --headless --convert-to pdf --outdir /tmp out.xlsx   # then read the PDF: no #REF!/#DIV/0! anywhere

Loop: build → recalc → if any error token appears, fix the formula → recalc again. Target: zero formula errors in the delivered file.

Conventions (banker-grade, optional but professional)

  • Cell-color convention: blue font = hardcoded inputs, black = formulas, green = links to other sheets, red = links to external files; yellow fill = key assumptions.
  • Isolate assumptions in their own cells and reference them absolutely ($B$6) or by named range; document any sourced hardcode in a cell comment ("Source: 10-K FY24 p.45").
  • Number formats: currency $#,##0 with units in the header; percentages 0.0%; multiples 0.0x; negatives in parentheses; years as text.

Verify (required)

Re-open with edit_document/read or confirm the file unzips with the expected sheet names; if you used formulas, run the Path-4 recalc and confirm zero errors before declaring done.

Frequently asked questions

What does the Xlsx AI skill do?

Build and edit professional Excel (.xlsx) spreadsheets, workbooks, and simple financial models — live formulas, number/date/currency formats, cell styling, conditional formatting, data-validation dropdowns, named ranges, frozen panes, merged cells, multi-sheet. Use when the user asks Brigade to make, fill, update, model, or edit a spreadsheet, workbook, or .xlsx file.

Why use Xlsx on TypingMind?

Because you install it once and use it with any model. 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 Xlsx in TypingMind?

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

Which AI models can use 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 Xlsx?

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

Is the Xlsx AI skill free?

Yes. It is published on GitHub by spinabot 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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