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 --sheet flag)
• 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 run lark auth login
• SCOPE_ERROR - Missing documents permissions. Run lark 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 --range for 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