sheets

Fetch Lark Sheets data via the lark CLI and return structured JSON.

53|18|Updated Jan 14, 2026

Search Tags:#cli #json #spreadsheet #list #sheets #read #lark

Ready to run

npx skills add https://github.com/yjwong/lark-cli --skill sheets

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sheets
Source: https://github.com/yjwong/lark-cli/tree/main/skills/sheets
Command: npx skills add https://github.com/yjwong/lark-cli --skill sheets

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables rapid access to data stored in Lark Sheets, allowing you to view sheet information and read cell data without opening the spreadsheet interface.

Core Features & Use Cases

List sheets in a spreadsheet and view basic metadata (sheet_id, title, index, hidden, row_count, column_count).
Read cell data from a specified range and receive results in a structured JSON format.
Use case: quickly extract a range of values from a spreadsheet URL/ID and feed them into an AI-assisted workflow.

Quick Start

Use the lark sheet list command to view sheets for a given spreadsheet token, then use lark sheet read with --sheet and --range to fetch specific data.

Frequently Asked Questions about sheets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I read Lark Sheets data from the command line?▼

You can read Lark Sheets data by using the lark CLI to execute the sheet read command, specifying the target spreadsheet URL or ID along with the desired sheet and cell range to return structured JSON values.

How do I list all sheets in a Lark spreadsheet?▼

To list sheets in a Lark spreadsheet, use the lark sheet list command with the spreadsheet token to retrieve sheet metadata including sheet_id, title, index, hidden status, row_count, and column_count.

Can I extract a specific cell range from Lark Sheets as JSON?▼

Yes, you can extract specific cell ranges as structured JSON from Lark Sheets by using the lark sheet read command with the --sheet and --range parameters to fetch the exact values you need.

Do I need the lark binary to query spreadsheet data?▼

Yes, the lark binary is a required dependency to query spreadsheet data, as this Skill relies on the lark CLI to fetch sheet lists and read cell ranges directly without opening the spreadsheet interface.

What metadata is returned when listing sheets in a spreadsheet?▼

Listing sheets in a spreadsheet returns structured JSON metadata for each sheet, including the sheet_id, title, index, hidden status, row_count, and column_count.

How do I feed Lark Sheets data into an AI-assisted workflow?▼

You can feed Lark Sheets data into an AI-assisted workflow by using the lark CLI to read specific cell ranges and outputting the results as structured JSON, which is easily consumed by downstream AI processes.