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spreadsheets

Stars39,228

Forks3,396

UpdatedMay 13, 2026 at 05:53

Create, edit, analyze, clean, or convert spreadsheets including XLSX, CSV, TSV, formulas, charts, and tabular reports.

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Hmbown

Hmbown/CodeWhale

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Related occupationsSOC

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Data ScientistsComputer and Mathematical Occupations·SOC 15-2051

SKILL.md

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name	spreadsheets
description	Create, edit, analyze, clean, or convert spreadsheets including XLSX, CSV, TSV, formulas, charts, and tabular reports.

Spreadsheets

Use this skill when the input or deliverable is a spreadsheet: .xlsx, .xlsm, .csv, .tsv, or a table that should become one of those formats.

Workflow

Identify whether the task is cleaning, analysis, formatting, charting, or workbook generation.
Preserve source files. Write a new output workbook unless the user asked for an in-place edit.
Use appropriate tools:
- Python csv or pandas for data cleaning and analysis
- openpyxl for XLSX formulas, styles, tables, filters, freeze panes, and charts
- LibreOffice only when conversion or recalculation is needed and available
Keep raw data separate from summary sheets when that helps auditability.
Use formulas when the workbook should remain interactive; use fixed values when the result must be stable and reproducible.
Verify by loading the workbook, checking sheet names, row/column counts, formulas, and representative cell values. For CSV/TSV, check delimiters, quoting, headers, and row widths.

If dependencies are missing, ask before installing packages. Never silently drop rows, change date/time semantics, or coerce IDs with leading zeroes into numbers.

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name	spreadsheets
description	Create, edit, analyze, clean, or convert spreadsheets including XLSX, CSV, TSV, formulas, charts, and tabular reports.

Spreadsheets

Use this skill when the input or deliverable is a spreadsheet: .xlsx, .xlsm, .csv, .tsv, or a table that should become one of those formats.

Workflow

Identify whether the task is cleaning, analysis, formatting, charting, or workbook generation.
Preserve source files. Write a new output workbook unless the user asked for an in-place edit.
Use appropriate tools:
- Python csv or pandas for data cleaning and analysis
- openpyxl for XLSX formulas, styles, tables, filters, freeze panes, and charts
- LibreOffice only when conversion or recalculation is needed and available
Keep raw data separate from summary sheets when that helps auditability.
Use formulas when the workbook should remain interactive; use fixed values when the result must be stable and reproducible.
Verify by loading the workbook, checking sheet names, row/column counts, formulas, and representative cell values. For CSV/TSV, check delimiters, quoting, headers, and row widths.

If dependencies are missing, ask before installing packages. Never silently drop rows, change date/time semantics, or coerce IDs with leading zeroes into numbers.