What problem does it solve? Working with Feishu/Lark cloud documents programmatically requires navigating complex APIs, block structures, and format rules. This Skill lets an AI agent fetch, create, and precisely edit Docx and Wiki documents through structured lark-cli commands without manual API orchestration. ## Core Features & Use Cases - Document Fetching with Scoped Reads: Retrieve full documents or targeted sections using outline, range, keyword, or section scopes, with detail levels from simple text to full block IDs and styles. - Precise Block-Level Editing: Create documents from XML or Markdown and apply eight update commands (str_replace, block_insert_after, block_replace, block_delete, block_move_after, and more) for surgical edits. - Media and Resource Handling: Insert images from clipboard or disk, preview and download document media, manage cover images, embed whiteboards, and count document words with a dedicated script. - Use Case: Given a Feishu doc URL, ask the agent to summarize one section, replace outdated text, insert a Mermaid diagram, and report the total word count. ## Quick Start Ask the agent to fetch the Feishu document at your docx URL and summarize its contents, making sure lark-cli is installed and you have run lark-cli auth login first.