Individual skill

figures

Makes publication-quality plots from data with matplotlib, learning curves, scaling laws, benchmark and ablation comparisons, Pareto trade-offs, heatmaps and confusion matrices, sized for the page, vector, with uncertainty shown. Use whenever results are plotted, charted or visualized for a paper, report or answer, or an existing plot looks unpolished. Not for conceptual diagrams or schematics (use schematics) and never for drawing numbers that did not come from a run.

backend/cli/skills/core/figures/SKILL.md

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Last checked: Nov 2, 2026

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Repository stars (not skill ratings): 4,353
Repository last updated: Nov 6, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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SKILL.mdcore · 7,684 bytes
SKILL.mdcore · 7,684 bytes
assets/figstyle.pyruns · 21,939 bytes
references/comparison.mddoc · 10,002 bytes
references/curves.mddoc · 5,970 bytes
references/matrix.mddoc · 7,386 bytes
references/pareto.mddoc · 6,594 bytes
references/scaling.mddoc · 8,026 bytes

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# Figures

A figure in a paper is an argument, not a screenshot of an array. It makes one claim, and a
reader who skips the prose should still get that claim right. Default plotting output does
not clear that bar: it is sized for a screen, titled where a caption belongs, colored from
a cycle that collapses in greyscale, and rasterized where the document wants vector.

## Non-negotiables

1. **Build at the final printed size.** Pick the width from the document (`COLUMN` 3.25 in,
   `TEXT` 5.5 in, `WIDE` 6.75 in in the style module) and include it with
   `width=\linewidth`. Never build big and rescale: a 15-inch canvas dropped into a
   5.5-inch column turns 11 pt tick labels into 4 pt.
2. **Vector out.** PDF for `\includegraphics`, SVG beside it for preview. A rasterized plot