sheets-cli
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".
git clone https://github.com/gmickel/sheets-cli
git clone --depth=1 https://github.com/gmickel/sheets-cli ~/.claude/skills/gmickel-sheets-cli-sheets-cli
SKILL.mdsheets-cli
CLI for Google Sheets primitives. Read tables, append rows, update cells by key or index, batch operations.
Installation:
is already installed and available in the user's PATH. Run commands directly—no installation needed.sheets-cli
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
returnsread table
and rows withheaderRow
field_row
is the absolute sheet row number - use directly with_rowupdate row --row- Example:
means headers on row 2, first data row isheaderRow: 2_row: 3 - Never calculate row numbers manually - always use
from read output_row
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 or full URL |
| Preview without applying |
| Header row (auto-detects if omitted) |
| (default) or |
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
to get spreadsheet ID from namesheets find
accepts URLs - paste full Google Sheets URL directly--spreadsheet- Prefer key-based updates over row indices - rows shift on insert/delete
- Always dry-run before writes
- Check
field in response before proceedingok - 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:
returns columns asread table
,A
, ...; use column letters forB
/--set--key-col - Column letter vs header: When a key like
orID
matches both a header name and a column letter pattern, the header match wins. Column letter addressing (URL
,A
,B
) is only used as fallback when no header matchesAA - Empty sheets:
can bootstrap by writing a header row from JSON keysappend
acceptsread table --range
(auto-prefixed with the sheet)A1:Z
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 10 | Validation error |
| 20 | Auth error |
| 30 | Permission error |
| 40 | API/transient error |