google-sheets-automation

Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.

31,392 stars
Complexity: medium

About this skill

This skill provides AI agents with a lightweight yet powerful integration for Google Sheets, enabling full read and write access to manipulate spreadsheet data. It features standalone OAuth authentication, eliminating the need for an external MCP server and simplifying setup. Designed for efficiency, this skill allows agents to directly interact with Google Sheets for various data management tasks, from automated data entry and extraction to report generation and list management. It requires a Google Workspace account for operation, as personal Gmail accounts are not supported.

Best use case

Automating data entry or updates in spreadsheets, extracting specific information from Google Sheets for analysis, generating reports from structured data, managing lists or inventories, or synchronizing data between Google Sheets and other services via the AI agent.

Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.

Successful reading of specified sheet data, accurate writing/updating of cells or rows, execution of defined data management tasks within Google Sheets, and clear error handling for invalid operations or authentication issues.

Practical example

Example input

Please update the 'Status' column to 'Completed' for row 5 in the 'Project Tracker' spreadsheet, Sheet1.

Example output

Successfully updated the status for row 5 in 'Project Tracker' spreadsheet (Sheet1) to 'Completed'.

When to use this skill

  • When an AI agent needs to directly read, write, update, or manage data in Google Sheets without manual intervention or complex server setups. Ideal for tasks requiring dynamic interaction with spreadsheet data within a Google Workspace environment.

When not to use this skill

  • If the primary data source is not Google Sheets, if highly complex real-time database operations are required (where a dedicated database skill would be more appropriate), or if the user only has a personal Gmail account. This skill is not suitable for scenarios outside of Google Workspace.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/google-sheets-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/google-sheets-automation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/google-sheets-automation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How google-sheets-automation Compares

Feature / Agentgoogle-sheets-automationStandard Approach
Platform SupportClaudeLimited / Varies
Context Awareness High Baseline
Installation ComplexitymediumN/A

Frequently Asked Questions

What does this skill do?

Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.

Which AI agents support this skill?

This skill is designed for Claude.

How difficult is it to install?

The installation complexity is rated as medium. You can find the installation instructions above.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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.


## When to Use
Use this skill when tackling tasks related to its primary domain or functionality as described above.

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