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figureslisted

Design and format publication-quality figures. Use for chart choice, color, scales, legends, captions, accessibility, and reproducible figure workflows.
scdenney/open-science-skills · ★ 39 · AI & Automation · score 73
Install: claude install-skill scdenney/open-science-skills
# Figure Designer ## Heritage and scope This is an original Open Science Skills workflow for figure production in social-science manuscripts. It is general — apply to any figure type (line, bar, point, density, map, network, small multiples). For figures whose interpretation depends on method-specific standards, also consult the relevant sibling skill (`conjoint-design`, `conjoint-diagnostics`, `list-experiment`, `topic-modeling`, `text-classification`, `vlm-ocr-pipeline`). For end-stage QA on a finished figure set, hand off to `figure-table-audit`. A good figure earns its place in the manuscript: it makes a single comparison legible, it can be read without the surrounding text, and it can be regenerated from a script. If a figure cannot do all three, it is not yet ready. ## Instructions ### 1. State the comparison before drawing Write down, in one sentence, what the figure is supposed to let the reader see. Examples: - "Treatment effect is larger among low-information respondents than among high-information respondents." - "Vote share for Party A declines monotonically with district urbanization." - "Topic 7 prevalence rises sharply after the 2024 election." If you cannot state the comparison in one sentence, the figure has too many goals — split it into multiple panels or multiple figures. ### 2. Choose the chart type from the comparison Match the geometry to the comparison, not to the data type: - **Comparing magnitudes across a small number of categories**: bar