What problem does it solve?
This Skill helps you quickly turn data engineering ideas into clear, consistent PlantUML architecture diagrams instead of manually drawing pipeline diagrams from scratch.
Core Features & Use Cases
- Create data pipeline diagrams in PlantUML for ETL, data lakes, streaming, and warehousing.
- Use standardized AWS analytics/database stencil icons (mxgraph.aws4.*) to keep visuals accurate and recognizable.
- Document architecture with correct flow semantics using solid arrows for batch and dashed arrows for async/streaming, plus labeled connections for formats/volumes.
- Include real examples by architecture type (CDC, data lake, data warehouse, ETL, log analytics, ML features, multi-source BI).
Quick Start
Ask the AI to produce a complete PlantUML diagram using the PlantUML code fence and the mxgraph.aws4.* analytics/database icons for your pipeline (for example: “Create a real-time streaming clickstream pipeline from clients through Kinesis to Lambda, OpenSearch, and S3, using dashed arrows for event flows.”).