What problem does it solve?
Create precise, educational Excalidraw diagrams from natural language so users can communicate workflows, architectures, and protocols visually without manual layout, JSON fiddling, or repeated render/inspect cycles.
Core Features & Use Cases
- Converts natural language descriptions into well-structured Excalidraw .excalidraw JSON files that emphasize visual reasoning over decorative boxes.
- Supports multi-zoom diagrams (summary flow, section boundaries, detailed evidence artifacts) and enforces research-first workflows for technical accuracy.
- Includes a Playwright-based render-and-validate pipeline and a centralized color-palette reference so outputs are brand-consistent and visually verified before delivery.
- Use cases: documenting streaming protocols with real event names and JSON payloads, teaching system architectures with embedded code examples, and producing presentation-ready technical diagrams.
Quick Start
Ask the skill to generate an Excalidraw diagram that visualizes the event streaming flow between an AI agent and a frontend UI, including a summary flow, section boundaries, and code or JSON evidence artifacts.