Agent skill · data analytics · aiskillstore
data-visualization
Data visualization with chart selection, color theory, and annotation best practices. Covers chart types (bar, line, scatter, heatmap), axes rules, and storytelling with data. Use for: charts, graphs, dashboards, reports, presentations, infographics, data stories. Triggers: data visualization, chart, graph, data chart, bar chart, line chart, scatter plot, data viz, visualization, dashboard chart, infographic data, data presentation, chart design, plot, heatmap, pie chart alternative
Why this skill is useful
Provides domain-specific knowledge on effective data visualization techniques and best practices that the AI wouldn't reliably generate on its own.
What it needs
Requires inference.sh installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Data Visualization Create clear, effective data visualizations via inference.sh CLI. Quick Start Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available. Chart Selection Guide Which Chart for Which Data? Data Relationship Best Chart Never Use ------------------ ----------- ----------- Change over time Line chart Pie chart Comparing categories Bar chart (horizontal for many categories) Line chart Part of a whole Stacked bar, treemap Pie chart (controversial but: bar is always clearer) Distribution Histogram, box plot Bar chart Correlation Scatter plot Bar chart Ranking Horizontal bar chart Vertical bar, pie Geographic Choropleth map Bar chart Composition over time Stacked area chart Multiple pie charts Single metric Big number (KPI card) Any chart (overkill) Flow / process Sankey diagram Bar chart The Pie Chart Problem Pie charts are almost always the wrong choice: Design Rules Axes Rule Why ------ ----- Always start Y-axis at 0 (bar charts) Prevents misleading visual Line charts CAN start above 0 When showing change, not absolute values Label both axes Reader shouldn't have to guess units Remove unnecessary gridlines Reduce visual noise Use horizontal labels Vertical text is hard to read Sort bar charts by value Don't use alphabetical order unless there's a reason Color Principle Application ----------- ------------ Max 5-7 colors per chart More becomes unreadable Highlight one thing Grey everything else, color the focus Sequential for magnitude Light → dark for low → high Diverging for positive/negative Red ← neutral → blue Categorical for groups Distinct hues, similar brightness Colorblind-safe Avoid red/green only — add shapes or labels Consistent meaning If blue = revenue, keep it blue everywhere Good Color Palettes Text and Labels Element Rule --------- ------ Title States t …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-visualization--0ddb81