skills/integrations/google/google-sheets/SKILL.md
Read and write Google Sheets data. Load when user mentions 'google sheets', 'spreadsheet', 'update sheet', 'read sheet', 'append to sheet', or references extracting data to update a tracking sheet.
npx skillsauth add beam-ai-team/beam-next-skills google-sheetsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Read, write, and manage Google Sheets via OAuth authentication.
Before writing, appending, clearing, formatting, or exporting sheet data, show the account, spreadsheet ID/title, range, payload summary, output path when used, and overwrite risk. Require explicit user approval in the current turn before mutating Sheets or writing files. Reading sheet data with an approved scope does not require additional approval.
uv run python skills/integrations/google/google-master/scripts/google_auth.py --check --service sheets
Exit codes:
python3 skills/integrations/google/google-master/scripts/google_auth.py --loginuv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py read <spreadsheet_id> "Sheet1!A1:D10"
uv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py write <spreadsheet_id> "Sheet1!A1" --values '[["Name", "Amount"], ["Contract A", 5000]]'
uv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py append <spreadsheet_id> "Sheet1!A:D" --values '[["New Row", "Data", "Here", "Now"]]'
uv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py info <spreadsheet_id>
uv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py list --query "tracking"
uv run python skills/integrations/google/google-sheets/scripts/sheets_operations.py create "New Spreadsheet" --sheets "Data" "Summary"
from sheets_operations import append_rows
data = [
["Contract A", "2024-01-15", 5000, "Active"],
["Contract B", "2024-02-01", 7500, "Pending"]
]
result = append_rows(spreadsheet_id, "Contracts!A:D", data)
print(f"Added {result['updated_rows']} rows")
from sheets_operations import batch_update
data = [
{"range": "Sheet1!A1", "values": [["Header 1"]]},
{"range": "Sheet1!B1", "values": [["Header 2"]]},
]
batch_update(spreadsheet_id, data)
The spreadsheet ID is in the URL:
https://docs.google.com/spreadsheets/d/[SPREADSHEET_ID]/edit
| Example | Meaning |
|---------|---------|
| A1 | Single cell |
| A1:B5 | Range from A1 to B5 |
| Sheet1!A1:B5 | Range in specific sheet |
| A:A | Entire column A |
| 1:1 | Entire row 1 |
| Operation | Function | Description |
|-----------|----------|-------------|
| Read | read_range() | Read data from range |
| Write | write_range() | Write data to range |
| Append | append_rows() | Append rows to sheet |
| Clear | clear_range() | Clear values (keep formatting) |
| Batch | batch_update() | Update multiple ranges |
| Create | create_spreadsheet() | Create new spreadsheet |
| Info | get_spreadsheet_info() | Get metadata and sheets |
| List | list_spreadsheets() | List accessible spreadsheets |
See ../google-master/references/error-handling.md for common errors and solutions.
First-time setup: ../google-master/references/setup-guide.md
Quick start:
pip install google-auth google-auth-oauthlib google-api-python-client.env file at Beam Next root:
GOOGLE_CLIENT_ID=your-client-id.apps.googleusercontent.com
GOOGLE_CLIENT_SECRET=your-client-secret
GOOGLE_PROJECT_ID=your-project-id
python3 skills/integrations/google/google-master/scripts/google_auth.py --logintools
Build a Palantir-shape, PDF-native use-case proposal document for a sophisticated enterprise account: research-grounded use cases (each with description, challenge, impact, value), an operating-graph ontology page, a recommended PoC with a week-by-week plan, and a closing page that asks for one decision. Load when a client asks us to 'propose high-impact use cases', requests a use-case presentation/catalog for a function (finance, HR, ops), or when a technical evaluation team will review candidates to pick a PoC. NOT for single-account cold outreach (use prospect-brief), full process diagnostics (use operating-diagnostic), or priced proposals (use proposal-creation).
development
Convert Beam Figma slide designs into high-fidelity, editable HTML presentation decks. Use when Codex is asked to audit Figma slides, extract slide templates, rebuild Beam slides as HTML decks, decide whether Figma imagery should be exported or rebuilt in HTML/CSS, create Beam/Prism-compatible deck templates, or improve fidelity of existing Beam HTML slide rebuilds.
development
Use the Beam AI reusable slide library: individual HTML slide templates extracted from Beam Figma rebuilds, kept separate from deck themes and full deck templates. Load when the user asks for a slide library, specific Beam slide patterns, reusable Figma-inspired slides, Prism slide-library items, or slide-level HTML templates.
development
Use Beam AI deck and report design packs, HTML templates, and curated examples to create sales decks, customer intro decks, RPO decks, and DIN A4 use-case proposal reports. Load when the user asks for Beam-branded presentation templates, Prism-compatible deck templates, Beam report templates, customer intro decks, commercial proposals, or reusable HTML deck/report examples.