MetaClaw visualization-selection
Use this skill when creating charts, plots, or dashboards. Choose the visualization type that best communicates the data relationship before writing any plotting code.
install
source · Clone the upstream repo
git clone https://github.com/aiming-lab/MetaClaw
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/aiming-lab/MetaClaw "$T" && mkdir -p ~/.claude/skills && cp -r "$T/memory_data/skills/visualization-selection" ~/.claude/skills/aiming-lab-metaclaw-visualization-selection && rm -rf "$T"
manifest:
memory_data/skills/visualization-selection/SKILL.mdsource content
Visualization Selection Guide
| Goal | Chart Type |
|---|---|
| Compare categories | Bar chart (horizontal if many labels) |
| Show distribution | Histogram, box plot, violin plot |
| Show trend over time | Line chart |
| Show correlation | Scatter plot, heatmap |
| Show part-to-whole | Pie (<=5 slices), stacked bar |
Principles:
- Label axes and include units.
- Use color purposefully — not just for decoration.
- Avoid 3D charts; they distort perception.
- Start y-axis at 0 for bar charts (truncated bars mislead).
- Use a colorblind-safe palette (e.g.,
,viridis
).colorbrewer