Process, edit, and convert xlsx, xlsm, csv, and tsv spreadsheet files.
npx skills add https://github.com/eccstartup/grok_skills_bundle --skill xlsx-eccstartup
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/eccstartup/grok_skills_bundle/tree/main/xlsx Command: npx skills add https://github.com/eccstartup/grok_skills_bundle --skill xlsx-eccstartup
Efficiently manage spreadsheet workflows by automating common tasks on input and output files such as .xlsx, .xlsm, .csv, and .tsv.
Transform the provided spreadsheet into a cleaned, formatted Excel workbook with computed totals.
High-intent search queries and answers about installing and using this skill.
Spreadsheet cleaning and format conversion are automated by processing input files like .csv or .tsv, restructuring tabular data, and exporting a polished .xlsx workbook with accurate formulas and preserved templates.
Yes, converting a messy CSV to a formatted Excel workbook is supported by automatically cleaning headers, reordering columns, computing explicit formulas, and recalculating totals for the final xlsx output.
Preserving existing Excel templates during automated data processing is supported by leveraging openpyxl to open, read, and edit tabular data while maintaining the original template structure and enforcing error-free formulas.
Ensuring error-free formulas when generating Excel reports from TSV data is handled by applying explicit Excel formulas, separating inputs and assumptions, and enforcing formula recalculation throughout the spreadsheet workflow.
Supported spreadsheet file formats for automated data conversion inputs include .xlsx, .xlsm, .csv, and .tsv, which are processed to generate formatted spreadsheet outputs with accurate formulas and charts.
Limitations when using Python scripts to restructure tabular data in xlsm files depend on the openpyxl and lxml dependencies, which handle standard spreadsheet automation but may not support highly complex macro executions.
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