xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Install
With your agent
Install OMGSkills skill "anthropics/skills:xlsx" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/anthropics/skills /tmp/skills && ln -s /tmp/skills/skills/xlsx ~/.claude/skills/xlsx
From README
XLSX creation, editing, and analysis | Task | Approach | |---|---| | Create or edit with formulas/formatting | openpyxl — see gotchas below | | Bulk data in or out | pandas (readexcel, toexcel) | | Quick look at a sheet | markitdown file.xlsx — ## SheetName per sheet; reads .xlsm too. No cell coordinates, so don't plan edits from it | | Read a model (formulas and values) | two loadworkbook passes — see gotchas | openpyxl, pandas, and markitdown are preinstalled — do not run pip first; write the script and import directly. Only if an import fails (or the markitdown command is missing): pip the missing package. Script paths below are relative to this skill's directory. Requirements for every output Professional font (Arial, Times New Roman) throughout, unless the user says otherwise. Zero formula errors. Never ship while recalc.py reports errorsfound. If you think an error predates you, prove it: load the original with dataonly=True and look at that cell.
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