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skills/data-visualization/SKILL.md

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+---
+name: data-visualization
+description: "Create publication-quality data visualizations. Use when: (1) Presenting results, (2) Exploratory data analysis, (3) Manuscript preparation, (4) Grant proposals, (5) Presentations."
+allowed-tools: Read, Write, Bash
+version: 1.0.0
+---
+
+# Data Visualization Skill
+
+## Purpose
+Create clear, publication-ready figures following best practices.
+
+## Figure Types by Data
+
+**Continuous Outcome:**
+- Bar plots (means with error bars)
+- Box plots (distributions)
+- Violin plots (density)
+
+**Categorical Data:**
+- Bar charts (counts/proportions)
+- Stacked bars (composition)
+
+**Relationships:**
+- Scatter plots (correlations)
+- Line graphs (time series)
+
+**Distributions:**
+- Histograms
+- Density plots
+- Q-Q plots (normality)
+
+## Best Practices
+
+**Design:**
+- Clear axis labels with units
+- Legible font sizes (≥10pt)
+- Color-blind friendly palettes
+- Minimal chart junk
+
+**Statistics:**
+- Show individual data points when N < 50
+- Error bars: 95% CI (not SE or SD)
+- Asterisks for significance with p-value in caption
+
+**Format:**
+- High resolution (≥300 DPI)
+- Vector format (PDF, SVG) preferred
+- Grayscale-compatible
+
+---
+**Version:** 1.0.0