Scientific schematics and diagrams transform complex concepts into clear visual representations for publication. Generate neural network architectures, flowcharts, circuit diagrams, biological pathways, and system diagrams using best-in-class Python libraries. All diagrams are created as SVG/EPS files, stored in the figures/ subfolder, and referenced in papers/posters - never embedded directly in LaTeX.
Key principle: Generate standalone vector graphics first, then integrate into documents.
Neural Network Architectures (Transformers, CNNs, etc.) Best library: graphviz via Python's pygraphviz or pydot
Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx). Specialized in neural network architectures, system diagrams, and flowcharts. Generates SVG/EPS in figures/ folder with automated quality verification. Source: ttawdtt/skill-writer.