Individual skill

spreadsheet-ops

Use when working a spreadsheet programmatically — writing or repairing a formula, generating an .xlsx with Python including charts and conditional formats, driving Google Sheets from a script, building a read-transform-write pipeline, or writing an in-sheet macro or trigger. Covers formula errors, Sheets API quota, service-account permissions, and formulas that read back blank. NOT pure dedupe or normalisation with no sheet output (that is `data-cleaning`), NOT scraping a web table into rows (that is `data-scraper`), NOT multi-app event wiring (that is `automation-flows`).

skills/spreadsheet-ops/SKILL.md

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# spreadsheet-ops — the spreadsheet as a programmable surface

A spreadsheet is a runtime, not a document. Your job is to emit a **checkable artifact** — a `.xlsx`
file that opens, a script that compiles, a cell range you can re-read — never a hand-waved formula in
prose. Pick the tool that matches the runtime (local file vs cloud sheet, one-shot vs event-driven),
write the formula with comma arguments, and verify before you claim it works.

The trap that bites everyone first: **openpyxl writes formulas but does not compute them.** The string
is stored; Excel evaluates it on open. If you read the cell back with Python it is `None` until a real
Excel/LibreOffice session has saved it. Internalize that before you touch a workbook.

## Pick the tool first (this branches, so decide before coding)

| Your situation | Reach for | Why |