Lark Sheets Skill
Read and query Lark Sheets (spreadsheets) via the lark CLI.
Running Commands
Ensure lark is in your PATH, or use the full path to the binary. Set the config directory if not using the default:
lark sheet <command> # Or with explicit config: LARK_CONFIG_DIR=/Users/yingcong/Code/lark-cli/.lark lark sheet <command>
Commands Reference
List Sheets in a Spreadsheet
lark sheet list <spreadsheet_token>
Lists all sheets (tabs) within a Lark spreadsheet. Returns sheet IDs, titles, dimensions, and hidden status.
Output:
{
"spreadsheet_token": "T4mHsrFyzhXrj0tVzRslUGx8gkA",
"sheets": [
{
"sheet_id": "abc123",
"title": "Sheet1",
"index": 0,
"row_count": 100,
"column_count": 10
},
{
"sheet_id": "def456",
"title": "Sheet2",
"index": 1,
"hidden": true,
"row_count": 50,
"column_count": 5
}
],
"count": 2
}
Fields:
- •
sheet_id: The unique ID of the sheet (use this with--sheetflag) - •
title: Display name of the sheet - •
index: Position of the sheet (0-indexed) - •
hidden: Whether the sheet is hidden in the UI - •
row_count/column_count: Dimensions of the sheet
Read Sheet Data
lark sheet read <spreadsheet_token> [--sheet <sheet_id>] [--range A1:Z100]
Reads cell values from a Lark spreadsheet.
Options:
- •
--sheet: Sheet ID to read from (default: first sheet by index) - •
--range: Cell range to read (e.g.,A1:Z100). Default: all data up to 1000 rows
Output:
{
"spreadsheet_token": "T4mHsrFyzhXrj0tVzRslUGx8gkA",
"sheet_id": "abc123",
"range": "abc123!A1:D10",
"row_count": 10,
"column_count": 4,
"values": [
["Header1", "Header2", "Header3", "Header4"],
["Value1", "Value2", 123, true],
["Row2Val1", null, 456, false]
]
}
Note: Cell values preserve their types (string, number, boolean). Empty cells may appear as null or be omitted from rows. Some cells with rich formatting may return structured objects instead of plain values.
Extracting IDs from URLs
The spreadsheet_token is from the spreadsheet URL:
- •URL:
https://xxx.larksuite.com/sheets/T4mHsrFyzhXrj0tVzRslUGx8gkA - •Token:
T4mHsrFyzhXrj0tVzRslUGx8gkA
Which Command to Use
| Use Case | Command | Notes |
|---|---|---|
| Browse sheets/tabs | sheet list | See all sheets and dimensions |
| Read specific data | sheet read --range | Target specific cells |
| Read full sheet | sheet read --sheet | Up to 1000 rows |
| Read first sheet | sheet read | Auto-selects first by index |
Workflow Examples
Get Overview of a Spreadsheet
# List all sheets first lark sheet list T4mHsrFyzhXrj0tVzRslUGx8gkA # Then read specific sheet lark sheet read T4mHsrFyzhXrj0tVzRslUGx8gkA --sheet abc123 --range A1:D20
Read Header Row Only
lark sheet read T4mHsrFyzhXrj0tVzRslUGx8gkA --range A1:Z1
Read First 50 Rows of Specific Sheet
lark sheet read T4mHsrFyzhXrj0tVzRslUGx8gkA --sheet def456 --range A1:Z50
Efficient Extraction with jq
For large spreadsheets, use jq to extract specific data without loading everything into context.
Get Column Headers
lark sheet read <token> --range A1:Z1 | jq '.values[0]'
Get Row Count
lark sheet read <token> | jq '.row_count'
Extract Specific Column (Column B)
lark sheet read <token> | jq '[.values[] | .[1]]'
Find Rows Matching a Value
lark sheet read <token> | jq '[.values[] | select(.[0] == "SearchValue")]'
Get First N Rows
lark sheet read <token> | jq '.values[:10]'
Output Format
All commands output JSON. Format appropriately when presenting to user.
Error Handling
Errors return JSON:
{
"error": true,
"code": "ERROR_CODE",
"message": "Description"
}
Common error codes:
- •
AUTH_ERROR- Need to runlark auth login - •
SCOPE_ERROR- Missing documents permissions. Runlark auth login --add --scopes documents - •
API_ERROR- Lark API issue (often permissions) - •
NO_SHEETS- Spreadsheet has no sheets
Required Permissions
This skill requires the documents scope group (uses drive:drive:readonly). If you see a SCOPE_ERROR, the user needs to add documents permissions:
lark auth login --add --scopes documents
To check current permissions:
lark auth status
Limitations
- •Maximum 1000 rows read by default (use
--rangefor specific cells) - •Column letters limited to A-Z (26 columns) when auto-detecting range
- •Rich text cells may return structured objects instead of plain strings
- •Some merged cells may have unexpected value placement