Manipulate spreadsheet data in xlsx, xlsm, csv, and tsv files.
npx skills add https://github.com/rovanni/IalClaw --skill xlsx-rovanni
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/rovanni/IalClaw/tree/main/skills/internal/xlsx Command: npx skills add https://github.com/rovanni/IalClaw --skill xlsx-rovanni
Use this skill to rapidly manipulate spreadsheet files (xlsx/xlsm/csv/tsv) — reading, editing, formatting, computing formulas, cleaning messy data, converting between tabular formats, and exporting the result as a spreadsheet file. It triggers when a user references a spreadsheet by name or path and requires the deliverable to be a spreadsheet.
Open your input spreadsheet, apply the requested edits (add columns, compute formulas, format, and clean data), and export the result as a new .xlsx file.
High-intent search queries and answers about installing and using this skill.
Automate spreadsheet data cleaning and formatting by reading .xlsx, .xlsm, .csv, or .tsv inputs, applying restructuring rules, and exporting the result as a single polished spreadsheet file.
Yes, you can compute formulas and convert CSV to xlsx while applying formatting. The process reads tabular inputs, calculates formulas, and exports a single spreadsheet file preserving the applied formatting.
Yes, openpyxl supports converting between xlsx, xlsm, csv, and tsv formats. The skill uses this dependency to open, read, edit, and restructure tabular data before exporting the final result as a spreadsheet file.
The best way to fix messy data and add computed columns is to open the input spreadsheet, apply data cleaning rules, compute new formula-based columns, and export the restructured data as a new .xlsx file.
A key limitation is that exports must produce a single spreadsheet file. The process preserves formulas and formatting during export, but the deliverable is strictly limited to one spreadsheet file per task.
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