lanhu-mcp-collaboration

To extract UI design parameters from Lanhu, this Skill pulls precise layout specs like spacing, fonts, and colors, then generates aligned HTML and CSS for AI coding assistants. It requires an MCP server connection with Lanhu cookie authentication and a vision-capable model to view designs.

Analyzing Lanhu or Axure prototype requirements is done by passing the Lanhu product page URL to your AI assistant. The Skill processes the document using development, testing, or exploration modes to extract actionable requirements and shared team knowledge.

Yes, Lanhu design-to-code translation requires an MCP server connection with Lanhu cookie authentication and a vision-capable model. These prerequisites allow the AI to view design documents and handle tool-driven operations like exporting slices.

Yes, you can export design slices with semantic naming from Lanhu prototypes. The Skill automates this through the export_design_slices tool, ensuring assets are correctly named for development and AI integration.

The best way to share UI design decisions across AI assistants is using the project message board feature. It allows you to create, list, and search project-scoped knowledge, tasks, and questions to avoid duplicated work during design collaboration.

If Lanhu cookie authentication fails, requirements analysis cannot proceed because the MCP server connection requires valid cookies to access Lanhu documents. Ensure your Lanhu cookies are current and properly configured in your MCP server setup.