excalidraw-architect

To generate a Databricks Lakehouse architecture diagram in Excalidraw, provide structured YAML discovery answers detailing data sources, ingestion, transformation, serving, and governance. The skill maps these elements into visual swim lanes and boxes on the canvas.

Yes, you can use a YAML file to automate Excalidraw diagram creation for a Lakehouse. The skill processes input via file path or inline data, dynamically placing components based on your structured discovery answers.

Yes, you need Excalidraw MCP tools to visualize Databricks architecture with this skill. The skill requires these tools for canvas manipulation to place pre-defined shells, swim lanes, and governance bars.

The best way to structure Databricks Lakehouse discovery answers for visualization is using YAML format. Define data sources, ingestion methods, transformation pipelines, serving layers, analysis tools, and governance elements to drive diagram content.

Yes, the generated Lakehouse diagram includes governance and swim lanes. It utilizes a pre-defined shell with a title, swim lanes, and a governance bar, dynamically placing components for data sources, ingestion, transformation, serving, and analysis.

Yes, you can create a visual architecture for a financial services data platform using Excalidraw. Provide a YAML file describing their specific data sources, ingestion methods, transformation pipelines, serving layers, and analysis tools to generate the diagram.