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sheets-cli

sheets-cli

github.com/gmickelData & databases72136 installsUpdated 37w ago
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About sheets-cli

A command-line skill for working with Google Sheets data. It supports table and range reads, row appends, keyed or indexed updates, and batches, with dry-run options for previewing writes.

Key features

  1. 01Find spreadsheets and list tabs
  2. 02Read tables and cell ranges
  3. 03Append rows and update cells
  4. 04Run batch operations
  5. 05Preview changes with dry-run

Use cases

  1. 01Inspect spreadsheet rows before editing
  2. 02Update records by a unique key
  3. 03Append new rows to a sheet
  4. 04Preview and apply related sheet changes

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gmickel/sheets-cli --skill sheets-cli

After installing, type/sheets-cliin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

.gitignore
biome.jsonc
bun.lock
AGENTS.md
README.md
CLAUDE.md
prd.md
lefthook.yml
package.json
.claude/
settings.json
CLAUDE.md
.claude/skills/
sheets-cli.md
.cursor/
hooks.json
.cursor/rules/
use-bun-instead-of-node-vite-npm-pnpm.mdc
ultracite.mdc
.flow/
meta.json
config.json
usage.md
.flow/bin/
flowctl
flowctl.py
.github/
FUNDING.yml
.vscode/
settings.json
src/
auth.ts
sheets.ts
src/__tests__/
sheets.test.ts
cli.test.ts
types.test.ts
output.test.ts
skill-sync.test.ts
auth.test.ts

Details

From the project README

sheets-cli

CLI for Google Sheets primitives. Read tables, append rows, update cells by key or index, batch operations.

Installation: sheets-cli is 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 table returns headerRow and rows with _row field
  • _row is the absolute sheet row number - use directly with update row --row
  • Example: headerRow: 2 means headers on row 2, first data row is _row: 3
  • Never calculate row numbers manually - always use _row from 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

OptionDescription
--spreadsheet <id>Spreadsheet ID or full URL
--dry-runPreview 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

  1. Use sheets find to get spreadsheet ID from name
  2. --spreadsheet accepts URLs - paste full Google Sheets URL directly
  3. Prefer key-based updates over row indices - rows shift on insert/delete
  4. Always dry-run before writes
  5. Check ok field in response before proceeding
  6. Batch related operations for atomicity
  7. Column names match case-insensitively with normalized whitespace
  8. Header row auto-detects - skips empty rows to find first data row
  9. Headerless sheets: read table returns columns as A, B, ...; use column letters for --set / --key-col
  10. Column letter vs header: When a key like ID or URL matches both a header name and a column letter pattern, the header match wins. Column letter addressing (A, B, AA) is only used as fallback when no header matches
  11. Empty sheets: append can bootstrap by writing a header row from JSON keys
  12. read table --range accepts A1:Z (auto-prefixed with the sheet)

Exit Codes

CodeMeaning
0Success
10Validation error
20Auth error
30Permission error
40API/transient error

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