From sanjay3290-ai-skills
Read/write Google Sheets via Python CLI with OAuth: export content as text/CSV/JSON, fetch ranges/metadata, search sheets, update cells, append rows, clear ranges.
npx claudepluginhub sanjay3290/ai-skills --plugin postgresThis skill uses the workspace's default tool permissions.
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
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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):
python scripts/auth.py login
Check authentication status:
python scripts/auth.py status
Logout when needed:
python scripts/auth.py logout
All operations via scripts/sheets.py. Auto-authenticates on first use if not logged in.
# 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
# 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 | 75
Standard CSV format, suitable for further processing:
Name,Revenue,Units
Product A,10000,50
Product B,15000,75
Structured data format:
{
"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.