Minimax XLSX
Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm...
Install
npx skills add MiniMax-AI/skills --skill minimax-xlsx -g -a claude-code -y- Repository
- MiniMax-AI/skills13.8k
- Category
- Documents
- Updated
- 7mo ago
- License
- MIT
- Context cost
- Mediumabout 1,875 tokens
- Runs scripts
- Yes, review before use
What it does
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.
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.
