Stats
Actions
Tags
From academic-paper
Generates publication-quality matplotlib/seaborn figures for academic LaTeX papers. Supports 11 EECS chart types (bar, line, heatmap, ROC, ablation, scaling). Saves PDF to figures/ and Python script to scripts/.
How this skill is triggered — by the user, by Claude, or both
Slash command
/academic-paper:paper-figureThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Generate a publication-quality figure for an academic LaTeX paper using
Generate a publication-quality figure for an academic LaTeX paper using
matplotlib or seaborn, save it as PDF in figures/, and write the matching
Python source in scripts/.
Same as paper-draft (see that file for the exact 5-step protocol). If no
.paper-config.yml is found in the cwd ancestor chain, stop with the
"No paper project found" error.
$ARGUMENTS for <chart-type> and <description>.bar, line, scatter, heatmap, roc,
ablation, scaling, confusion-matrix, box, violin, pareto.visualization agent. The agent:
figures/<slug>.pdfscripts/<slug>.pypython3 scripts/<slug>.py to actually produce the
PDF. Verify the output file exists and is non-empty.None. This skill is self-contained.
/paper-draft <section> to reference the new figure in the section text/paper-compile to verify the figure renders in the PDFnpx claudepluginhub curryfromuestc/academic-paper --plugin academic-paperGenerates publication-quality Python data visualizations for research papers using matplotlib, seaborn, numpy, pandas, and top-journal color schemes like Nature/Science.
Generates publication-grade scientific figures and tables using pubfig and pubtab workflows. Handles chart selection, LaTeX export, and figure review.
Enforces consistent LaTeX formatting, creates publication-ready matplotlib/seaborn figures, and generates TikZ/PGF diagrams for neural networks and technical diagrams.