What problem does it solve? Managing Feishu (Lark) knowledge bases from the command line requires knowing the correct API resources, member identity types, and space resolution rules. This Skill guides an AI agent to create and query wiki spaces, manage space members, and organize document node hierarchies through lark-cli without guessing parameter formats. ## Core Features & Use Cases - Space and Node Management: Create, list, copy, and query wiki spaces and nodes, including shortcut nodes and personal library (my_library) resolution. - Member Administration: Add or remove space members with correct member_type resolution for users (openid), groups (openchat), and departments (opendepartmentid), including the bot-identity restriction for departments. - Document Migration: Move existing wiki nodes across spaces or migrate Drive documents into a wiki with the +move shortcut, including async task polling and approval requests. - Use Case: A user asks to create a new docx page under a specific wiki parent node and add a colleague as a space member; the Skill resolves the space_id, creates the node with +node-create, and adds the member with the correct open_id. ## Quick Start Ask the agent to create a new page titled "Project Plan" in your Feishu personal knowledge base using the lark-wiki skill.