Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
How to install academic-plotting?
openraiser/nanoresearch/academic-plotting
$npx -y skills add openraiser/nanoresearch --skill academic-plottingInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/openraiser/nanoresearch" --skill "openraiser/nanoresearch/academic-plotting"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/openraiser/nanoresearch" that are relevant to the current task. Run `npx skills add "https://github.com/openraiser/nanoresearch"` and select the relevant skills, then follow their instructions.
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