Read Google Sheets spreadsheets - get content, fetch specific ranges, search for spreadsheets, and view metadata. Use when user asks to: read a spreadsheet, get data from Google Sheets, find a spreadsheet, check sheet contents, export spreadsheet data, or get cell values. Lightweight alternative to full Google Workspace MCP server with standalone OAuth authentication. Read-only access.
View on GitHubSelect agents to install to:
npx add-skill https://github.com/sanjay3290/ai-skills/blob/main/skills/google-sheets/SKILL.md -a claude-code --skill google-sheetsInstallation paths:
.claude/skills/google-sheets/# Google Sheets
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Read-only access.
> **⚠️ Requires Google Workspace account.** Personal Gmail accounts are not supported.
## First-Time Setup
Authenticate with Google (opens browser):
```bash
python scripts/auth.py login
```
Check authentication status:
```bash
python scripts/auth.py status
```
Logout when needed:
```bash
python scripts/auth.py logout
```
## Commands
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
```
## Spreadsheet ID
You can use either:
- The spreadsheet ID: `1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms`
- The full URL: `https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit`
The script automatically extracts the ID from URLs.
## Output Formats
### Text (default)
Human-readable format with pipe separators:
```
Spreadsheet Title: Sales Data
Sheet Name: Q1
Name | Revenue | Units
Product A | 10000 | 50
Product B | 15000 | 75
```
### CSV
Standard CSV format, suitable for further processing:
```
Name,Revenue,Units
Product A,10000,50
Product B,15000,75
```
### JSON
Structured data format:
```json
{
"Q1": [
["Name", "Revenue", "Units"],
["Product A", "