Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
.claude/skills/sickn33-google-sheets-automation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | 15% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -10% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -21% | 0% |
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
> Requires Google Workspace account. Personal Gmail accounts are not supported.
Authenticate with Google (opens browser):
bashpython scripts/auth.py login
Check authentication status:
bashpython scripts/auth.py status
Logout when needed:
bashpython scripts/auth.py logout
All operations via scripts/sheets.py. Auto-authenticates on first use if not logged in.
bash# Get spreadsheet content as plain text (default) python scripts/sheets.py get-text SPREADSHEET_ID # Get spreadsheet content as CSV python scripts/sheets.py get-text SPREADSHEET_ID --format csv # Get spreadsheet content as JSON python scripts/sheets.py get-text SPREADSHEET_ID --format json # Get values from a specific range (A1 notation) python scripts/sheets.py get-range SPREADSHEET_ID "Sheet1!A1:D10" python scripts/sheets.py get-range SPREADSHEET_ID "A1:C5" # Find spreadsheets by search query python scripts/sheets.py find "budget 2024" python scripts/sheets.py find "sales report" --limit 5 # Get spreadsheet metadata (sheets, dimensions, etc.) python scripts/sheets.py get-metadata SPREADSHEET_ID
bash# Update a range of cells with values (JSON 2D array) python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B2" '[["Hello","World"],["Foo","Bar"]]' # Update with RAW input (no formula parsing, treats everything as literal text) python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B1" '[["=SUM(A1:A5)","text"]]' --raw # Append rows after the last data row python scripts/sheets.py append-rows SPREADSHEET_ID "Sheet1!A:Z" '[["New Row Col A","New Row Col B"]]' # Clear values from a range (keeps formatting) python scripts/sheets.py clear-range SPREADSHEET_ID "Sheet1!A1:B10" # Batch update (advanced - for formatting, merging, etc.) python scripts/sheets.py batch-update SPREADSHEET_ID '[{"updateCells":{"range":{"sheetId":0},"fields":"userEnteredValue"}}]'
You can use either:
1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upmshttps://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/editThe script automatically extracts the ID from URLs.
Human-readable format with pipe separators:
Spreadsheet Title: Sales Data
Sheet Name: Q1
Name | Revenue | Units
Product A | 10000 | 50
Product B | 15000 | 75Standard CSV format, suitable for further processing:
Name,Revenue,Units
Product A,10000,50
Product B,15000,75Structured data format:
json{ "Q1": [ ["Name", "Revenue", "Units"], ["Product A", "10000", "50"] ] }
Sheet1!A1:B10 - Range A1 to B10 on Sheet1Sheet1!A:A - All of column A on Sheet1Sheet1!1:1 - All of row 1 on Sheet1A1:C5 - Range on the first sheet--raw flag): Values are stored exactly as provided. No parsing of formulas or number formatting.Tokens stored securely using the system keyring:
Service name: google-sheets-skill-oauth
Tokens automatically refresh when expired using Google's cloud function.
Use this skill when tackling tasks related to its primary domain or functionality as described above.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-05 | fail→pass | 14,554 | 6,431 | -56% | 1 | 1 | 0% | 1,987 | 2,283 | +15% | 0 | 0 | — |
case-01 | fail→fail | 8,843 | 9,186 | +4% | 1 | 1 | 0% | 1,691 | 1,566 | -7% | 0 | 0 | — |
case-02 | fail→fail | 10,868 | 8,027 | -26% | 1 | 1 | 0% | 607 | 1,664 | +174% | 0 | 0 | — |
case-03 | fail→fail | 9,671 | 6,765 | -30% | 1 | 1 | 0% | 856 | 1,601 | +87% | 0 | 0 | — |
case-04 | fail→pass | 9,845 | 2,748 | -72% | 1 | 1 | 0% | 1,509 | 1,537 | +2% | 0 | 0 | — |
case-06 | fail→pass | 10,782 | 2,365 | -78% | 1 | 1 | 0% | 1,710 | 1,537 | -10% | 0 | 0 | — |
case-07 | fail→pass | 7,838 | 6,500 | -17% | 1 | 1 | 0% | 1,298 | 1,484 | +14% | 0 | 0 | — |
case-08 | fail→pass | 9,454 | 2,193 | -77% | 1 | 1 | 0% | 2,008 | 1,583 | -21% | 0 | 0 | — |
case-09 | fail→fail | 3,283 | 7,385 | +125% | 1 | 1 | 0% | 509 | 1,636 | +221% | 0 | 0 | — |
case-10 | fail→fail | 7,204 | 5,786 | -20% | 1 | 1 | 0% | 329 | 1,405 | +327% | 0 | 0 | — |
case-11 | pass→pass | 8,212 | 2,750 | -67% | 1 | 1 | 0% | 1,622 | 1,508 | -7% | 0 | 0 | — |
case-12 | fail→fail | 6,906 | 5,667 | -18% | 1 | 1 | 0% | 1,506 | 1,606 | +7% | 0 | 0 | — |
case-13 | pass→fail | 7,158 | 6,998 | -2% | 1 | 1 | 0% | 1,241 | 1,607 | +29% | 0 | 0 | — |
case-14 | pass→pass | 6,540 | 3,692 | -44% | 1 | 1 | 0% | 1,173 | 1,912 | +63% | 0 | 0 | — |
case-15 | pass→pass | 10,060 | 1,790 | -82% | 1 | 1 | 0% | 1,610 | 1,458 | -9% | 0 | 0 | — |
case-16 | pass→pass | 11,579 | 2,659 | -77% | 1 | 1 | 0% | 1,893 | 1,635 | -14% | 0 | 0 | — |
case-17 | fail→pass | 7,921 | 3,346 | -58% | 1 | 1 | 0% | 1,363 | 1,456 | +7% | 0 | 0 | — |
case-18 | pass→pass | 4,585 | 2,759 | -40% | 1 | 1 | 0% | 787 | 1,595 | +103% | 0 | 0 | — |
case-19 | pass→pass | 15,221 | 3,857 | -75% | 1 | 1 | 0% | 2,412 | 1,843 | -24% | 0 | 0 | — |
case-20 | fail→pass | 15,319 | 2,075 | -86% | 1 | 1 | 0% | 2,405 | 1,519 | -37% | 0 | 0 | — |
case-21 | fail→pass | 11,950 | 4,872 | -59% | 1 | 1 | 0% | 1,864 | 1,971 | +6% | 0 | 0 | — |
case-22 | fail→pass | 8,840 | 5,231 | -41% | 1 | 1 | 0% | 2,106 | 2,257 | +7% | 0 | 0 | — |
case-23 | pass→pass | 7,805 | 4,758 | -39% | 1 | 1 | 0% | 1,258 | 2,005 | +59% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 16 counted toward the lift figure. The other 7 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +35 percentage points is the difference between those two pass rates over the 16 comparable cases. 3 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.