What problem does it solve? Researchers often need clear visual diagrams — paper structures, methodology flows, literature maps, and conceptual frameworks — but hand-drawing them in Excalidraw is slow and inconsistent. This Skill generates valid .excalidraw JSON files following academic design conventions, then renders them to PNG for visual verification. ## Core Features & Use Cases - Eight Academic Diagram Types: Paper structure, methodology flow, literature review map, conceptual framework, experimental workflow, cross-paper comparison, data pipeline, and theoretical model. - Semantic Color System: A NeurIPS/ICML-style palette in references/color-palette.md encodes meaning (theory, method, findings, gaps) rather than decoration. - Render-and-Validate Loop: A Playwright-based script renders the JSON to PNG so the output can be visually audited for overflow, overlap, and balance. - Use Case: Ask for a literature review map showing how five papers relate to your thesis; the Skill produces a fan-out Excalidraw diagram with citation labels, renders it, and iterates until the layout is clean. ## Quick Start Ask the agent to create an Excalidraw diagram of your paper's methodology flow and render it to PNG for review.
