Generate editable SVG figure variants with journal-compliant typography for academic papers.
npx skills add https://github.com/sai-tv/academic-figures --skill academic-figures
Please help me install this Agent Skill. Skill: academic-figures Source: https://github.com/sai-tv/academic-figures/tree/main Command: npx skills add https://github.com/sai-tv/academic-figures --skill academic-figures
Generating publication-ready, editable SVG figures for academic papers can be time-consuming and error-prone when done manually; this skill automates the process, delivering vector graphics that are ready for editing in Inkscape or Ipe.
Describe your figure concept and target layout, and Claude will generate 2–3 publication-ready SVG variants.
High-intent search queries and answers about installing and using this skill.
You can generate publication-ready SVG figures by describing your figure concept and target layout, which produces 2-3 vector graphics variants with journal-compliant typography, dimensions, and labeled placeholders for data plots.
Yes, you can create graphical abstracts and TOC graphics as editable SVG files by providing your visual concept, which generates compact, high-impact vector graphics that summarize your work for journals.
The best way to build multi-panel schematic figures is to define your panel sequence and layout, which enforces consistent typography and layout constraints across all panels and labeled data placeholders.
Yes, this workflow outputs fully editable SVGs designed specifically for manual editing and refinement in vector graphics tools like Inkscape or Ipe.
Yes, the process generates 2-3 layout and style variants per figure that adhere to journal specifications, ensuring you can select the most appropriate layout for your publication.
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