excel-sheet-reference_skill

This skill helps you generate multi-sheet Excel files with cross-sheet formulas using Python and openpyxl, enabling dynamic summaries from source data.
  • Python

0

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill jetsquirrel/oh-my-skills --skill excel-sheet-reference

  • EXAMPLES.md11.2 KB
  • SKILL.md9.9 KB

Overview

This skill creates Excel .xlsx workbooks with multiple sheets and cross-sheet formulas so you can keep raw data separate from summary or report sheets. It uses Python and openpyxl to write formulas like COUNTIFS, VLOOKUP, MATCH, INDEX, SUMIF/SUMIFS and stores them so Excel performs the calculations when the file is opened. The skill focuses on reproducible, programmatic workbook generation rather than in-memory evaluation.

How this skill works

The code builds a workbook, adds a source-data sheet containing raw rows, and creates one or more summary/report sheets that contain formula strings referencing the source sheet (e.g., =COUNTIFS(Source!A:A,A2)). Formulas are written as strings into cells; Excel evaluates them on open, so computed values appear after Excel recalculates. It supports cross-sheet references, quoted sheet names, absolute/relative addresses, and common patterns such as VLOOKUP with IFERROR and INDEX/MATCH.

When to use it

  • Keep a single authoritative source sheet and generate derived reports or dashboards automatically
  • Produce Excel deliverables from Python without duplicating raw values
  • Create lookup-driven order, invoice, or price sheets that reference a price list
  • Generate summary counts, conditional sums, or position lookups across sheets
  • Automate periodic reports where formulas should remain live for end users

Best practices

  • Test formulas in Excel manually first to verify syntax and ranges
  • Use clear sheet names and wrap names with spaces in single quotes (e.g. 'My Sheet'!A1)
  • Prefer named ranges for complex or frequently reused ranges to improve readability
  • Wrap lookups in IFERROR to avoid #N/A when source data is incomplete
  • Use absolute ($A$1) vs relative references deliberately when copying formulas
  • For large datasets consider pivot tables or Power Query instead of many volatile formulas

Example use cases

  • Create a source data sheet of products and a summary sheet that counts each product with COUNTIFS
  • Build an Orders sheet that uses VLOOKUP to pull prices from a PriceList sheet and calculates totals
  • Make a Lookup sheet that finds a name’s row with MATCH and returns fields via INDEX
  • Generate a dashboard sheet that aggregates sales by category using SUMIFS across the source sheet
  • Export recurring reports where formulas remain editable by recipients in Excel

FAQ

No. openpyxl stores formulas as strings. Excel calculates them when the file is opened. To read calculated values back into Python, open the saved file after Excel recalculates or use a library that evaluates formulas.

How should I reference sheet names with spaces?

Wrap the sheet name in single quotes, for example: ='My Sheet'!A1 or =SUM('Data Sheet'!B:B).

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