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.
Install
npx skills add Orchestra-Research/AI-Research-SKILLs --skill academic-plottingnpx skills add Orchestra-Research/AI-Research-SKILLs --skill academic-plotting -a claude-code -gnpx skills add Orchestra-Research/AI-Research-SKILLs --skill academic-plotting -a codex -ggemini skills install https://github.com/Orchestra-Research/AI-Research-SKILLs.git --path 20-ml-paper-writing/academic-plottinggh skill install Orchestra-Research/AI-Research-SKILLs academic-plottinggit clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs /tmp/Orchestra-Research__AI-Research-SKILLs
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/20-ml-paper-writing/academic-plotting ~/.claude/skills/academic-plotting # Claude Code
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/20-ml-paper-writing/academic-plotting ~/.agents/skills/academic-plotting # Codex, Cursor, Gemini CLI, Copilot, OpenCode