Teach your AI to draw correct, beautiful draw.io diagrams — declarative layout engine, ground-truth stencils, structural validator, vision self-check. AWS · Azure · GCP · Databricks · BPMN. Zero dependencies.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
git clone https://github.com/sparklabx/drawio-ai-kit && cp drawio-ai-kit/*.md ~/.claude/agents/6 items in this repository
Use when the user asks for an AWS architecture diagram — VPC/networking, event-driven, landing zone, multi-AZ, serverless pipeline, or any diagram built with AWS service icons. Builds with the declarative layout engine using ground-truth mxgraph.aws4 stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Use when the user asks for an Azure architecture diagram — VNet/networking, App Service, AKS, landing zone, multi-region, or any diagram built with Azure service icons. Builds with the declarative layout engine using ground-truth Azure stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Use when the user asks for a BPMN diagram, swimlane diagram, business process map, or workflow diagram with roles/lanes and phases. Builds with the declarative layout engine using canonical mxgraph.bpmn stencils (events, gateways, typed tasks) in horizontal swimlanes (pool → lanes × phases), validates (BPMN semantic rules plus geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Use when the user asks for a Databricks lakehouse architecture diagram — medallion architecture (Bronze/Silver/Gold), Delta Lake, Unity Catalog, workspace deployment, data-plane/control-plane, or any diagram built with Databricks icons. Builds with the declarative layout engine using ground-truth stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Use when the user asks for a GCP or Google Cloud architecture diagram — VPC/networking, GKE, Cloud Run, landing zone, multi-region, or any diagram built with GCP service icons. Builds with the declarative layout engine using ground-truth GCP stencils, validates (stencils/colors/nesting/geometry), runs a render-based vision self-check. Default output is .drawio; PNG/SVG only on request.
Subagents overview
What people ask about drawio-ai-kit
What is sparklabx/drawio-ai-kit?
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sparklabx/drawio-ai-kit is subagents for the Claude AI ecosystem. Teach your AI to draw correct, beautiful draw.io diagrams — declarative layout engine, ground-truth stencils, structural validator, vision self-check. AWS · Azure · GCP · Databricks · BPMN. Zero dependencies. It has 641 GitHub stars and its last recorded update is dated 2026-09-10.
How do I install drawio-ai-kit?
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You can install drawio-ai-kit by cloning the repository (https://github.com/sparklabx/drawio-ai-kit) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is sparklabx/drawio-ai-kit safe to use?
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Our security agent has analyzed sparklabx/drawio-ai-kit and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains sparklabx/drawio-ai-kit?
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sparklabx/drawio-ai-kit is maintained by sparklabx. The last recorded GitHub activity is dated 2026-09-10, with 4 open issues.
Are there alternatives to drawio-ai-kit?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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