Agent skill · design visual · aiskillstore
data-visualization
Chart and visualization generation for DBX Studio. Use when a user wants to visualize data — bar charts, line graphs, pie charts, scatter plots, etc.
Why this skill is useful
Provides specific SQL query patterns and chart generation parameters that enhance the AI's ability to create meaningful visualizations.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Data Visualization — DBX Studio Chart Types Available The generatechart tool supports these types: Type Best For ------ ---------- bar Comparisons between categories line Trends over time pie Part-to-whole relationships (< 7 slices) scatter Correlation between two numeric values area Cumulative trends over time histogram Distribution of a numeric column Workflow 1. Understand what the user wants to visualize 2. Write the SQL query to get the data (dataquery) 3. Call generatechart with the config 4. Confirm chart title and axes are meaningful generatechart Parameters Chart Selection Guide User says "trend" or "over time" → line chart, xaxis = date column User says "compare" or "by category" → bar chart User says "breakdown" or "share" → pie chart (only if ≤ 7 categories) User says "distribution" or "spread" → histogram User says "relationship" or "correlation" → scatter Data Query Patterns Bar: Top N categories Line: Time series Pie: Proportion breakdown Design Principles Always give the chart a descriptive title including the time period if relevant Keep xaxis and yaxis names human-readable (not raw column names) For large result sets, aggregate before charting (avoid raw row-level data) Pie charts: max 7 slices, group remainder as "Other"
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/data-visualization--d787c2