Visualize Data
Design, create, revise, or QA quantitative charts and figures for reports, dashboards...
Install
npx skills add XiaomiMiMo/MiMo-Code --skill visualize-data -g -a claude-code -y- Repository
- XiaomiMiMo/MiMo-Code13.7k
- Category
- Design
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 705 tokens
- Runs scripts
- No, instructions only
What it does
Design, create, revise, or QA quantitative charts and figures for reports, dashboards, notebooks, slides, files, or inline analytical answers.
Visualize Data
Create quantitative visuals that are analytically sound, immediately readable, and appropriate for their destination. Treat a chart as evidence for a takeaway, not decoration.
Workflow
- State the analytical question and intended takeaway.
- Verify the data grain, measures, dimensions, units, missing values, filters, time window, sample size, and source.
- Choose the chart family from the analytical relationship:
- Change over ordered time: line or area chart.
- Category comparison: bar chart.
- Distribution: histogram, box plot, or density plot.
- Relationship between numeric measures: scatter plot.
- Composition: stacked bar/area; use pie only for a small set of meaningful parts.
- Funnel progression: funnel or ordered bars with stage conversion.
- Contribution to change: waterfall.
- Exact lookup values: table, optionally with small bars or sparklines.
- Define explicit encodings, sorting, aggregation, grouping, scales, labels, units, colors, annotations, and uncertainty treatment.
- Render with the destination's native system when one is selected. Otherwise prefer reproducible Python/Matplotlib or SVG for files and inline artifacts. Notebook-native plotting is appropriate for notebooks.
- Inspect the final output in context when the host provides image, browser, document, or notebook inspection.
Do not install or require React, Recharts, Vite, MCP widgets, or proprietary UI renderers. For self-contained HTML, use inline SVG/canvas or a static image plus semantic fallback data. Avoid remote scripts unless the user explicitly accepts the dependency.
