What problem does it solve?
Creating professional architecture diagrams and method illustrations for academic papers is time-consuming, and AI-generated figures often contain wrong arrow directions, missing labels, or unprofessional styling that fails conference standards.
Core Features & Use Cases
- Multi-Stage Generation Pipeline: Claude plans the figure, Gemini optimizes layout and verifies CVPR/NeurIPS style compliance, then Paperbanana (gemini-3-pro-image-preview) renders the final image.
- Strict Iterative Review Loop: Claude scores each generated figure against a detailed checklist (arrow correctness, block content, visual appeal) and refines until it reaches a score of 9/10 or hits the 5-iteration limit.
- Conference Style Compliance: Enforces CVPR/ICLR/NeurIPS visual standards including coordinated color palettes, thick labeled arrows, sans-serif fonts, and print-friendly design.
- Use Case: A researcher needs an encoder-decoder architecture diagram for a CVPR submission; the skill generates the figure, verifies every arrow direction and label, and outputs a ready-to-use LaTeX snippet.
Quick Start
Ask the assistant to generate an architecture diagram for your paper by describing the model components and data flow, for example: generate a paper illustration of my multimodal fusion pipeline with the aris-paper-illustration skill.