minimax-xlsx

The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.

---
name: minimax-xlsx
description: "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."
license: MIT
metadata:
  version: "1.0"
  category: productivity
  sources:
    - ECMA-376 Office Open XML File Formats
    - Microsoft Open XML SDK documentation
---

# 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`.

## 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 "S