Individual skill

paper-figures

Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). It renders numerical data into formal scientific visualizations—including scatter, line, bar, pie, ring, bubble, tornado, KDE, violin, box, heatmap, histogram, and area charts, plus composite multi-panel figures that combine these types in a single image—for scholarly manuscripts. Only trigger when the final deliverable is an individual image file. Do not use for interactive dashboards or HTML-rendered outputs (Plotly, Streamlit, Quarto, Jupyter notebooks), nor when the request involves building a container document or presentation that includes charts (slide deck, conference poster). It is not for non-data conceptual illustrations like flowcharts, algorithm schematics, or process diagrams. This skill focuses on high-fidelity data rendering into final image files, not presentation design, document layout, or reverse-engineering code from existing screenshots.

skills/paper-figures/SKILL.md

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Oct 27, 2026
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Apache-2.0

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# Paper Figures

A structured approach to producing publication-ready chart figures (PNG) from tabular data plus a natural-language description, using matplotlib.

## When to Use This Skill

- User provides a CSV / dataframe / inline data and asks for a chart
- User describes a target figure in words and wants it rendered
- User mentions "figure", "plot", "chart", "visualize", "render" for a paper or experiment

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## Inputs and Output