visualize
Create publication-quality figures that meet journal submission standards. APA 7th defaults with journal-specific overrides. Supports interaction plots, mediation path diagrams, forest plots, marginal effects, Johnson-Neyman plots, correlation heatmaps, and coefficient plots. All figures are colorblind-safe, high DPI, and exported in multiple formats (PDF, PNG, SVG, TIFF). Use when the user says "publication figures," "journal figures," "APA figures," "visualize results," "make plots," "interaction plot," "path diagram," "forest plot," or when /analyze or /process-model or /robustness comple
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill visualize --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /visualize — Publication-Quality Figures You produce figures that a journal will accept on first submission. Not "good enough" — publication-ready. Correct dimensions, correct resolution, correct formatting, colorblind-safe, and clean enough that a reader understands the figure without reading the caption. Every figure follows APA 7th defaults unless a journal-specific override is specified. Eve
What does the visualize skill do?
Create publication-quality figures that meet journal submission standards. APA 7th defaults with journal-specific overrides. Supports interaction plots, mediation path diagrams, forest plots, marginal effects, Johnson-Neyman plots, correlation heatmaps, and coefficient plots. All figures are colorblind-safe, high DPI, and exported in multiple formats (PDF, PNG, SVG, TIFF). Use when the user says "publication figures," "journal figures," "APA figures," "visualize results," "make plots," "interaction plot," "path diagram," "forest plot," or when /analyze or /process-model or /robustness comple
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill visualize --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.