managing-google-sheets
Read, write, and update Google Sheets data via CLI. Use when the user asks to read spreadsheet data, update cells, append rows, or work with Google Sheets. Triggers on mentions of spreadsheets, sheets, Google Sheets, tabular data in the cloud, or specific sheet names like "Projects" or "Tasks".
When & Why to Use This Skill
This Claude skill enables seamless interaction with Google Sheets via a robust CLI tool. It allows AI agents to perform complex data operations including reading tables, appending rows, and updating cells using unique keys or row indices. Designed for reliability, it supports dry-run modes to preview changes and batch operations for efficiency, making it an essential tool for automating cloud-based tabular data management and real-time spreadsheet synchronization.
Use Cases
- Automated Project Tracking: Update task statuses, deadlines, and assignee information in a 'Projects' or 'Tasks' sheet based on chat conversations.
- Lead and Data Capture: Automatically append new customer inquiries, feedback, or lead details from the agent directly into a centralized Google Sheet.
- Inventory and Resource Management: Query real-time stock levels or resource availability and perform precise updates to specific rows using unique identifiers.
- Batch Data Processing: Execute multiple updates or data entries across different tabs simultaneously to maintain data integrity and save API overhead.
- Dynamic Reporting: Retrieve specific ranges of data to generate summaries or insights for the user without leaving the chat interface.
| name | managing-google-sheets |
|---|---|
| description | Read, write, and update Google Sheets data via CLI. Use when the user asks to read spreadsheet data, update cells, append rows, or work with Google Sheets. Triggers on mentions of spreadsheets, sheets, Google Sheets, tabular data in the cloud, or specific sheet names like "Projects" or "Tasks". |
sheets-cli
CLI for Google Sheets primitives. Read tables, append rows, update cells by key or index, batch operations.
Installation:
sheets-cliis already installed and available in the user's PATH. Run commands directly—no installation needed.
Quick Reference
# Find spreadsheet by name
sheets-cli sheets find --name "Projects"
# List sheets/tabs
sheets-cli sheets list --spreadsheet <id-or-url>
# Read table data
sheets-cli read table --spreadsheet <id> --sheet "Sheet1" --limit 100
# Update by key column (preferred - rows can shift)
sheets-cli update key --spreadsheet <id> --sheet "Projects" \
--key-col "Name" --key "Acme" --set '{"Status":"Done"}'
# Append row
sheets-cli append --spreadsheet <id> --sheet "Projects" \
--values '{"Name":"NewCo","Status":"Active"}'
Workflow Pattern
Always follow read → decide → dry-run → apply:
# 1. Understand current state
sheets-cli read table --sheet "Tasks" --limit 100
# 2. Dry-run first
sheets-cli update key --sheet "Tasks" --key-col "ID" --key "TASK-42" \
--set '{"Status":"Complete"}' --dry-run
# 3. Apply if dry-run looks correct
sheets-cli update key --sheet "Tasks" --key-col "ID" --key "TASK-42" \
--set '{"Status":"Complete"}'
Commands
Auth (Setup)
sheets-cli auth login --credentials <oauth-client.json>
sheets-cli auth status
sheets-cli auth logout
Find Spreadsheet by Name
sheets-cli sheets find --name "<query>" [--limit 10]
Searches Google Drive for spreadsheets matching the name. Returns ID, name, URL.
Requires Google Drive API enabled in the project.
List Sheets/Tabs
sheets-cli sheets list --spreadsheet <id>
Sheet Info
sheets-cli sheet info --spreadsheet <id> --sheet "<name>"
sheets-cli sheet info --spreadsheet <id> --gid <gid>
Get sheet metadata by name or GID.
Get Header Row
sheets-cli header --spreadsheet <id> --sheet "<name>" [--header-row N]
Returns column headers. Auto-detects header row if not specified.
Read Table Data
sheets-cli read table --spreadsheet <id> --sheet "<name>" [--limit N] [--raw]
Returns { headers: ["_row", ...], rows: [{_row: N, ...}, ...], headerRow: N }.
Each row includes _row - the absolute sheet row number for use with update row.
Read Raw Range
sheets-cli read range --spreadsheet <id> --range "Sheet1!A1:B10"
Append Row
sheets-cli append --spreadsheet <id> --sheet "<name>" \
--values '<json>' [--dry-run]
JSON object with column names as keys. Column matching is case-insensitive with normalized whitespace.
Update by Key (Preferred)
sheets-cli update key --spreadsheet <id> --sheet "<name>" \
--key-col "<column>" --key "<value>" --set '<json>' \
[--allow-multi] [--dry-run]
Finds rows where key-col equals key, updates columns from --set. Throws if multiple matches unless --allow-multi.
Update by Row Index
sheets-cli update row --spreadsheet <id> --sheet "<name>" \
--row <n> --set '<json>' [--dry-run]
Updates specific row by 1-indexed row number. Use _row from read table output directly.
Row Numbering
read tablereturnsheaderRowand rows with_rowfield_rowis the absolute sheet row number - use directly withupdate row --row- Example:
headerRow: 2means headers on row 2, first data row is_row: 3 - Never calculate row numbers manually - always use
_rowfrom read output
Set Range
sheets-cli set range --spreadsheet <id> --range "Sheet1!A1:B2" \
--values '<2d-json-array>' [--dry-run]
Batch Operations
sheets-cli batch --spreadsheet <id> --ops '<json-array>' [--dry-run]
Operations: append, updateRow, updateKey, setRange.
Global Options
| Option | Description |
|---|---|
--spreadsheet <id> |
Spreadsheet ID or full URL |
--dry-run |
Preview without applying |
--header-row <n> |
Header row (auto-detects if omitted) |
--value-input <mode> |
USER_ENTERED (default) or RAW |
Output Format
All commands return JSON:
{
"ok": true,
"cmd": "update key",
"spreadsheetId": "...",
"sheet": "Projects",
"result": { "matchedRows": 1, "updatedCells": 2 }
}
Errors:
{
"ok": false,
"cmd": "update key",
"error": { "code": "VALIDATION_ERROR", "message": "..." }
}
Best Practices
- Use
sheets findto get spreadsheet ID from name --spreadsheetaccepts URLs - paste full Google Sheets URL directly- Prefer key-based updates over row indices - rows shift on insert/delete
- Always dry-run before writes
- Check
okfield in response before proceeding - Batch related operations for atomicity
- Column names match case-insensitively with normalized whitespace
- Header row auto-detects - skips empty rows to find first data row
- Headerless sheets:
read tablereturns columns asA,B, ...; use column letters for--set/--key-col - Empty sheets:
appendcan bootstrap by writing a header row from JSON keys read table --rangeacceptsA1:Z(auto-prefixed with the sheet)
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 10 | Validation error |
| 20 | Auth error |
| 30 | Permission error |
| 40 | API/transient error |