xmind

What This Skill Does

The xmind skill integrates the powerful XMind mind-mapping format directly into your OpenClaw workflow. It leverages the xmind-generator-mcp library to bridge the gap between complex text-based information and visual, structured mind maps. Whether you are brainstorming, planning a project, or synthesizing technical documentation, this skill allows you to transform unstructured text into professional, openable .xmind files instantly. It also provides a reverse-capability, allowing you to upload an existing .xmind file to have the AI interpret the map, summarize its contents, identify key gaps, and export the structure into readable Markdown.

Installation

To integrate this capability into your environment, run the following command in your terminal: clawhub install openclaw/skills/skills/bangyizhang/xmind-skill This installs the necessary hooks to call the xmind-generator-mcp server via mcporter. Ensure your environment has Node.js installed to execute the generator-mcp package.

Use Cases

• Project Management: Convert raw PRDs or meeting minutes into structured visual task hierarchies.
• Learning & Study: Take a set of lecture notes or a technical article and visualize the core concepts as a mind map for better retention.
• Brainstorming: Rapidly iterate on ideas by generating a map and iteratively adding nodes based on AI suggestions.
• Documentation Review: Summarize complex, legacy mind maps by having the AI parse the node structure and provide an analysis or a simplified Markdown summary.

Example Prompts

1. "Generate an XMind from the attached project requirements document and save it as 'q3-roadmap'. Ensure the titles are in English."
2. "I'm planning a trip to Kyoto; create an XMind map with branches for food, temples, and transportation. Make the titles in Japanese."
3. "Please read this XMind file I just uploaded. First, explain the structure and key takeaways, then tell me if there are any missing action items, and finally provide a Markdown version of the content."

Tips & Limitations

• Chat-First Workflow: Always treat the assistant as a partner in map creation. If you feel the generated map is too simple, ask the AI to expand specific nodes.
• Language Awareness: The skill is language-agnostic; it will match the language of your prompt for the map content. Be specific if you need a mix of languages.
• Naming: Keep your requested filenames short and sanitized. Avoid special characters like '/', ':', or '*' to ensure files save correctly on your local machine.
• Schema Constraints: When providing structure manually, ensure your JSON follows the schema provided, as invalid syntax will cause the MCP server to throw an error.