Clean, edit, and convert spreadsheet files across .xlsx, .xlsm, .csv, and .tsv formats.
npx skills add https://github.com/cipriantitire/noctvm --skill xlsx-cipriantitire
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/cipriantitire/noctvm/tree/main/Skills/skills-main/skills/xlsx Command: npx skills add https://github.com/cipriantitire/noctvm --skill xlsx-cipriantitire
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, .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.
Open the provided CSV and output a cleaned, formatted XLSX ready for use.
High-intent search queries and answers about installing and using this skill.
To automate spreadsheet data cleaning, use script-based operations to restructure malformed rows, fix misplaced headers, and export a formatted .xlsx file with formulas applied.
Yes, spreadsheet format conversion supports cross-format export between .csv, .tsv, .xlsx, and .xlsm inputs while preserving templates, formulas, and formatting for ready-to-use outputs.
openpyxl supports opening, reading, and modifying existing .xlsx files, allowing you to add columns, compute formulas, and document hardcoded values and data sources for auditability.
The best way to create a new spreadsheet from other data sources is using deterministic script-based operations that generate cross-format outputs with proper formatting and documented data lineage.
You should not use spreadsheet automation 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.
Spreadsheet automation requires a spreadsheet file as the primary output because the skill is designed to produce ready-to-use .xlsx, .xlsm, .csv, or .tsv deliverables rather than non-tabular formats.
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