What problem does it solve? Creating publication-quality flowcharts, system architecture diagrams, and conceptual figures for academic papers is difficult when you lack design skills, and generic prompts given to image-generation AI often produce unprofessional results. ## Core Features & Use Cases - Diagram Type Recognition: Distinguishes flowcharts, architecture diagrams, concept maps, org charts, and timelines from data charts (which are routed to a separate Python-plotting skill). - Structured Prompt Templates: Provides ready-to-fill prompt templates for general diagrams, flowcharts, and neural network architectures, including layout, color schemes, and annotation rules. - Academic Style Guidance: Ships Nature/Science-style and minimalist academic color palettes plus tool recommendations (Nano Banana, Midjourney, DALL-E 3). - Use Case: You need a neural network architecture figure for a paper submission. The skill interviews you about layers and relationships, then outputs a complete prompt specifying layer colors, dimension annotations, and a red dashed box highlighting your innovation, ready to paste into an image AI. ## Quick Start Ask the assistant to generate an image-AI prompt for a flowchart of your experimental pipeline, describing the main steps and whether labels should be in Chinese or English.
