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PawelBednarekPunksPawelBednarekPunks/aidevbird-skills/skills/xlsx-toolkit/SKILL.md

xlsx-toolkit

Skill1 starsChanged 7 days agoMITView on GitHub

Create, edit, clean or analyze Excel/CSV files with live formulas and no errors. Use when a spreadsheet (.xlsx, .xlsm, .csv, .tsv) is the input or the deliverable.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Start: python scripts/inspect_xlsx.py FILE — sheets, size, first rows, formula and error counts.

    line 11
  2. Very specific:

    Use functions every Excel and LibreOffice has: SUMIFS, COUNTIFS, INDEX/MATCH, IFERROR, ROUND.

    line 15
  3. Distinctive:

    Verify before handing over:

    line 22

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

XLSX Toolkit

Tools: openpyxl for cells, formulas and formatting; csv/pandas for bulk data. Install only if the import fails. Script paths are relative to this skill's folder.

Start: python scripts/inspect_xlsx.py FILE — sheets, size, first rows, formula and error counts. Plan edits from cell coordinates, not from a text dump.

Rules for every output:

  • Formulas, not computed results: =SUM(B2:B13), not the number Python summed. Inputs live in their own labeled cells; formulas reference them (=B5*(1+$B$2), never =B5*1.05).
  • Use functions every Excel and LibreOffice has: SUMIFS, COUNTIFS, INDEX/MATCH, IFERROR, ROUND. Avoid XLOOKUP, FILTER, UNIQUE, SORT, LET, LAMBDA — sort/filter/dedupe in Python first.
  • Guard every division: =IFERROR(B2/C2,0).
  • Quote sheet names with spaces: ='Raw Data'!A1.
  • Editing an existing file: keep its layout, styles, names and formulas. Write only into its input cells. Never save a workbook loaded with data_only=True (formulas become values). .xlsm: load with keep_vba=True.
  • New file: header row bold and frozen (ws.freeze_panes = "A2"), column widths set, one data table per sheet, no merged cells inside data, number formats set (#,##0.00, 0.0% stored as fractions, dates as real dates).
  • State assumptions and hardcoded numbers next to them (note cell or comment) with their source.

Verify before handing over:

  1. Re-run inspect_xlsx.py on the output. errors must be empty (exit code 1 means errors).
  2. formulas_without_cached_value is normal for files written by openpyxl — Excel computes them on open. If LibreOffice is installed, soffice --headless --convert-to xlsx --outdir checked FILE and inspect the copy to see real values.
  3. Spot-check 2–3 formulas against values you compute by hand — no errors does not mean correct ranges.

Report: file path, sheets, what changed, any assumption the user must confirm.

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