Extract, visualize, and update Lark whiteboard content with PlantUML or Mermaid syntax.
npx skills add https://github.com/TK0918/BestAds --skill lark-whiteboard-tk0918
Please help me install this Agent Skill. Skill: lark-whiteboard Source: https://github.com/TK0918/BestAds/tree/main/.agents/skills/lark-whiteboard Command: npx skills add https://github.com/TK0918/BestAds --skill lark-whiteboard-tk0918
This Skill enables users to quickly query and manipulate飞书白板中的内容，涵盖导出预览图、提取代码和原始节点结构。
使用 lark-cli whiteboard +query --whiteboard-token <token> --output_as image 获取画板图片。
High-intent search queries and answers about installing and using this skill.
To export a Feishu whiteboard as an image, use the command `lark-cli whiteboard +query` with the whiteboard token and set the output parameter to image. This quickly retrieves a visual preview of the canvas.
Yes, you can extract PlantUML or Mermaid code from a Feishu whiteboard. The Skill queries the canvas content and converts the raw node structure into the corresponding scripting syntax for flexible editing.
Yes, querying Feishu whiteboard content requires lark-cli as a dependency. The Skill relies on this command-line interface to interact with Feishu documents and execute whiteboard queries.
The best way to extract the raw node structure from a Feishu whiteboard is using the Skill's query function. It retrieves native Feishu nodes, allowing you to perform precise micro-adjustments on the canvas design.
If your Feishu whiteboard export does not show updated content, ensure you are using the batch update function with valid PlantUML or Mermaid syntax. The content update requires correct scripting to reflect changes in the node structure.
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