paper-figures

paper-figures is a Scientific data analysis & plotting skill for AI agents, published by EvoScientist in the EvoSkills repository on GitHub. Skillspace rates paper-figures C (74/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill to produce standalone, publication-ready PNG graphics and reproducible matplotlib scripts from tabular data (CSVs or DataFrames). This tool is built specifically for rendering 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 this skill when the final deliverable is an individual image file. Do not use this skill 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). Finally, 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…

Grade

C

Quality

74 / 100

Safety

Passed

GitHub stars

411

Unproven: rated by static analysis only, not yet compared head-to-head.

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