dataviz-skills

Name: dataviz-skills
Author: wentorai

github.com/wentoraiData & databases307278 installsUpdated 19w ago

About dataviz-skills

dataviz-skills is a collection of 14 skills for choosing and applying data visualization guides. It serves research and analytics tasks, from chart creation to dashboards and accessible design.

Key features

01Guides for 14 visualization tasks
02Publication-quality chart creation
03Interactive visualization guidance
04Geospatial and network visualization
05Accessibility and color palette guidance

Use cases

01Creating research charts and figures
02Building interactive dashboards
03Mapping spatial or network data
04Choosing accessible visualization colors

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/wentorai/research-plugins --skill dataviz-skills

After installing, type/dataviz-skillsin Claude Code to confirm it loaded.

Details

From the project README

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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Details

Author: wentorai
Repository: wentorai/research-plugins
Category: Data & databases
Installs: 278
GitHub stars: 307

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