Skill318 estrellas del repoactualizado 1mo ago
google-sheets
This Claude Code skill provides lightweight Google Sheets integration with standalone OAuth authentication, enabling full read and write access without requiring an MCP server. Use it to authenticate with Google Workspace accounts, retrieve spreadsheet data in multiple formats (text, CSV, JSON), search for spreadsheets, update cell ranges, append rows, and perform batch operations on Google Sheets.
Instalar en Claude Code
Copiargit clone --depth 1 https://github.com/sanjay3290/ai-skills /tmp/google-sheets && cp -r /tmp/google-sheets/skills/google-sheets ~/.claude/skills/google-sheetsDespués abre una sesión nueva de Claude Code; el skill carga automáticamente.
Definición
SKILL.md
# Google Sheets
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.
## 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
```
## Read 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
```
## Write Commands
```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"}}]'
```
## 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", "10000", "50"]
]
}
```
## A1 Notation Examples
- `Sheet1!A1:B10` - Range A1 to B10 on Sheet1
- `Sheet1!A:A` - All of column A on Sheet1
- `Sheet1!1:1` - All of row 1 on Sheet1
- `A1:C5` - Range on the first sheet
## Value Input Options
- **USER_ENTERED** (default): Values are parsed as if typed by a user. Numbers, dates, and formulas are interpreted.
- **RAW** (`--raw` flag): Values are stored exactly as provided. No parsing of formulas or number formatting.
## Token Management
Tokens stored securely using the system keyring:
- **macOS**: Keychain
- **Windows**: Windows Credential Locker
- **Linux**: Secret Service API (GNOME Keyring, KDE Wallet, etc.)
Service name: `google-sheets-skill-oauth`
Tokens automatically refresh when expired using Google's cloud function.Del mismo repositorio
atlassianSkill
|
azure-devopsSkill
|
deep-researchSkill
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
elevenlabsSkill
|
gmailSkill
|
google-calendarSkill
|
google-chatSkill
|
google-docsSkill
|