Recipe generate report from sheet
Skill Pyfagorass/bookofspells/skills/gworkspace/recipe-generate-report-from-sheet
Read data from a Google Sheet and create a formatted Google Docs report.From its SKILL.md
npx -y skills add Pyfagorass/bookofspells --skill recipe-generate-report-from-sheetAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.1 KB, 239 tokens by cl100k_base, as published. Nobody here has run it
Generate a Google Docs Report from Sheet Data
PREREQUISITE: Load the following skills to execute this recipe:
gws-sheets,gws-docs,gws-drive
Read data from a Google Sheet and create a formatted Google Docs report.
Steps
- Read the data:
gws sheets +read --spreadsheet SHEET_ID --range "Sales!A1:D" - Create the report doc:
gws docs documents create --json '{"title": "Sales Report - January 2025"}' - Write the report: `gws docs +write --document-id DOC_ID --text '## Sales Report - January 2025
Summary
Total deals: 45 Revenue: $125,000
Top Deals
- Acme Corp - $25,000
- Widget Inc - $18,000'`
- Share with stakeholders:
gws drive permissions create --params '{"fileId": "DOC_ID"}' --json '{"role": "reader", "type": "user", "emailAddress": "[email protected]"}'
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most docs writing skills give in 239 tokens
Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07
- Announce the skill at startin 54 of 1637, across 26 files
- Convert legacy doc files before editingin 45 of 1637, across 7 files
- Predict questions readers might askin 42 of 1637, across 4 files
- Generate clarifying questions for initial contextin 42 of 1637, across 3 files
- Create document scaffold with placeholder textin 42 of 1637, across 3 files
- Brainstorm content options for each sectionin 42 of 1637, across 3 files
- Test the document with a fresh context-less instancein 42 of 1637, across 3 files
- Include exact file paths in every taskin 42 of 1637, across 15 files
- Ask interview questions one at a timein 42 of 1637, across 27 files
- Apply surgical edits during refinementin 41 of 1637, across 2 files
- Offer structured workflow or freeformin 40 of 1637, across 1 file
- Ask for document meta-contextin 40 of 1637, across 2 files
Said here and by no other author read
- read the data
- create the report doc
- share with stakeholders
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.