What problem does it solve? Working with Lark (Feishu) spreadsheets programmatically requires knowing the correct API resources, token types, and permission scopes. This Skill gives an AI agent precise instructions to create spreadsheets, read and write cell data, append rows, find cell content, and export files through lark-cli without guessing API parameters. ## Core Features & Use Cases - Spreadsheet CRUD Operations: Create spreadsheets with headers and initial data, read ranges, overwrite cells, and append rows using high-level shortcuts like sheets +create, +read, +write, and +append. - In-Sheet Search and Export: Find cells by text or regex within a known spreadsheet, and export to xlsx or csv with async task polling and optional local download. - Token and Wiki Handling: Correctly resolves wiki URLs to real spreadsheet tokens via wiki spaces get_node, avoiding common token misuse errors. - Use Case: A user asks to build a monthly revenue report. The agent creates a new spreadsheet with headers, appends data rows, then exports it as an xlsx file saved locally. ## Quick Start Ask the agent to create a new Lark spreadsheet titled with your report name, write the header row and data rows into it, and export the result as an xlsx file.
