wentorai/dataviz-skills
skills/analysis/dataviz/SKILL.md
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
$ install --global
skillsauthnpx skillsauth add wentorai/research-plugins dataviz-skillsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 16, 2026, 3:26 PM7.1s15 files scanned
SKILL.md
- name:
- dataviz-skills
- description:
- 14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Data Visualization — 14 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description | |-------|-------------| | algorithm-visualizer-guide | Guide to Algorithm Visualizer for interactive algorithm exploration | | bokeh-visualization-guide | Guide to Bokeh for interactive browser-based research visualizations | | chart-image-generator | Generate publication-quality chart images from research data | | color-accessibility-guide | Colorblind-friendly palettes and accessible visualization design | | d3-visualization-guide | Guide to D3.js for building custom interactive data visualizations | | echarts-visualization-guide | Guide to Apache ECharts for interactive research data dashboards | | geospatial-viz-guide | Create maps, choropleths, and spatial data visualizations for research | | interactive-viz-guide | Interactive data visualization with Plotly, ECharts, and D3 | | metabase-analytics-guide | Guide to Metabase for open-source research data analytics and dashboards | | network-visualization-guide | Visualize networks, graphs, citation maps, and relational data | | plotly-interactive-guide | Guide to Plotly.py for interactive scientific visualizations in Python | | publication-figures-guide | Create journal-quality scientific figures with proper styling and accessibility | | python-dataviz-guide | Publication-quality data visualization with matplotlib, seaborn, and plotly | | redash-analytics-guide | Guide to Redash for SQL-driven research data dashboards and sharing |
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