XMind skill provides full processing capabilities for XMind files (.xmind), including parsing, creating, and updating. It uses a Python tool to convert mind map content into Markdown for seamless conversation management.
$ npx skills add https://github.com/mitscherlich/skills --skill xmindThe XMind skill enables Claude Code and other AI agents to work with XMind mind map files (.xmind) through parsing, creation, and updating capabilities. It automatically converts mind map content into Markdown format, making it easy to integrate visual thinking tools into AI-assisted workflows. The skill supports both XMind 8 and Zen/2020+ file formats, allowing seamless conversion between versions. This is particularly useful for teams managing complex project structures, brainstorming sessions, or knowledge organization that need AI assistance. Install via the skills CLI to add XMind processing to your AI coding environment.
Install via npm and use the provided Python script for file operations.
Translate XMind diagrams to Markdown for easy editing.
Manage multiple session files for collaborative mind mapping.
Create and update XMind files programmatically.
$ npx skills add https://github.com/mitscherlich/skills --skill xmindgit clone https://github.com/mitscherlich/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Please parse the XMind mind map file [FILE_PATH] and convert its content into a structured Markdown format. Focus on preserving hierarchy, nodes, and connections while ensuring readability. If the file contains [TOPIC], extract all related subtopics and their relationships. Return the output in a clean Markdown structure with clear indentation for levels.
# Project Roadmap: Q3 2024 - Digital Transformation ## Core Objectives - **Increase Operational Efficiency** - Automate 60% of manual data entry processes - Reduce report generation time by 40% - Implement AI-driven customer support chatbots ## Key Initiatives ### Technology Upgrade - **Cloud Migration** - Migrate 80% of legacy systems to AWS - Cost savings: $120K annually - **Data Analytics Platform** - Deploy real-time dashboard for sales performance - Integrate with existing CRM (Salesforce) ### Team Restructuring - **New Roles** - Hire 2 Data Scientists - Promote 3 IT specialists to DevOps engineers - **Training Programs** - AI fundamentals for 50 employees - Agile methodology workshop for project managers ## Dependencies - **Vendor Contracts** - AWS migration timeline approved by [Vendor Name] - Salesforce integration requires API access approval ## Risks & Mitigation - **Data Security** - Conduct penetration testing before full migration - **Timeline Delays** - Allocate 20% buffer time for unexpected challenges
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan