drawio-databricks
Create accurate Databricks lakehouse architecture diagrams in draw.io format, complete with medallion layer structure (Bronze/Silver/Gold), Delta Lake, Unity Catalog, and deployment topology. The skill uses a declarative layout engine with ground-truth stencils, validates geometry and nesting, and runs vision-based self-checks before output.
drawio-databricks generates validated Databricks lakehouse architecture diagrams with medallion layers, Delta Lake, and Unity Catalog in draw.io format.
AI-generated summary based on this skill's SKILL.md
Install
sparklabx/drawio-ai-kit/drawio-databricks · repository language: JavaScript
git clone https://github.com/sparklabx/drawio-ai-kit
cp -r drawio-ai-kit/skills/drawio-databricks ~/.claude/skills/drawio-databricksFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I create a databricks lakehouse architecture diagram?
drawio-databricks generates accurate Databricks lakehouse architecture diagrams in draw.io format. It constructs medallion layer structure (Bronze/Silver/Gold), Delta Lake components, Unity Catalog, and deployment topology using a declarative layout engine with ground-truth stencils. The skill validates geometry and nesting, then runs vision-based self-checks before exporting your diagram.
Can drawio-databricks draw medallion architecture bronze silver gold?
Yes. drawio-databricks specializes in medallion architecture visualization with proper Bronze, Silver, and Gold layer separation. It uses validated Databricks stencils to represent each medallion layer, ensures correct nesting and data flow direction, and applies vision-based verification to confirm the architecture matches Databricks best practices before output.
What formats does drawio-databricks export diagrams in?
drawio-databricks exports lakehouse architecture diagrams as PNG or SVG from its declarative layout specification. Both formats preserve the full diagram fidelity, including all Databricks icons, medallion layers, and topology details, making them suitable for documentation, presentations, and integration into data architecture repositories.
Does drawio-databricks support Unity Catalog and workspace deployment diagrams?
Yes. drawio-databricks visualizes Delta Lake, Unity Catalog, and workspace deployment topology with proper icons and validated geometry. It can diagram both data-plane and control-plane architecture layers, ensuring accurate representation of Databricks workspace structure, catalog organization, and cluster deployment configurations.
How does drawio-databricks validate diagram correctness?
drawio-databricks uses a declarative layout engine that validates geometry and nesting rules against Databricks architectural standards. Before export, it runs vision-based self-checks to confirm medallion layers are properly structured, Delta Lake components are correctly positioned, and all stencils match ground-truth Databricks icon specifications.
What is the license for drawio-databricks?
drawio-databricks is released under the MIT license, allowing free use, modification, and distribution for both personal and commercial projects with minimal restrictions.
SKILL.md
rendered from the published skill — quoted content, verbatim
Draw.io Databricks
Produce correct Databricks lakehouse architecture diagrams in draw.io. This skill
is a thin frontend; the deterministic engine, validator, and rules live in the
drawio-ai-kit package, reached via the drawio-ai CLI.
0. Preflight — the CLI must be installed
command -v drawio-ai >/dev/null 2>&1 || echo "Install the Kit first: npm i -g github:sparklabx/drawio-ai-kit"
If drawio-ai is not on PATH, stop and tell the user to run
npm i -g github:sparklabx/drawio-ai-kit. Never run npm i -g yourself — nothing mutates the
user's global environment without their say-so.
1. Delegate the build (preferred when your harness
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skills/drawio-databricks/SKILL.md