# Excel XLSX

> Create Microsoft Excel .xlsx spreadsheets from tables, CSV/TSV, Markdown tables, or JSON data. Use when the user asks for Excel, spreadsheet, .xlsx, tabla editable, budget, inventory, report table, calculations, or data they need to open/edit in Microsoft Excel.

- Skill: `lftpadilla/excel-xlsx` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add lftpadilla/excel-xlsx`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lftpadilla/excel-xlsx/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: LFTPadilla (https://skillmd.com/u/lftpadilla)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lftpadilla/excel-xlsx

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# Excel XLSX

Use this skill when the user asks for an Excel spreadsheet or editable table.

## Output

- Create a real `.xlsx` file, not plain text renamed as `.xlsx`.
- Save it under the current workspace, preferably `workspace/`, `vault/`, or the current conversation folder.
- Use a clear filename ending in `.xlsx`.
- Reply with the file path and a short note about what was created.

## Tool

```bash
python3 scripts/create_xlsx.py \
  --title "Sheet title" \
  --input data.csv \
  --output output.xlsx
```

You can also pass data directly:

```bash
python3 scripts/create_xlsx.py \
  --title "Cotizacion" \
  --data "Item,Cantidad,Precio\nSilla,4,120000\nMesa,1,450000" \
  --output cotizacion.xlsx
```

## Input Formats

- CSV or TSV files.
- Markdown tables.
- JSON array of objects or array of arrays.
- Plain text tables separated by commas, tabs, semicolons, or pipes.

## Guidance

- Put headers in the first row when the user gives categories or columns.
- For budgets, quotes, inventories, grades, schedules, or reports, include totals and clear column names when useful.
- Use formulas only when the user needs calculations and the formula is straightforward.
- If the user gives messy text, normalize it into a clean table instead of blocking.