dataviz-skills

Category: Content & Multimedia | Uploader: wentorai | Downloads: 0 | Version: v1.0（Latest）

14 data visualization skills (algorithm-visualizer, bokeh-visualization, chart-image-generator, color-accessibility...). Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.

Changelog: Source: GitHub https://github.com/wentorai/research-plugins

Directory Structure

Current level: skills/analysis/dataviz/

📁 algorithm-visualizer-guide/
- 📄 SKILL.md 9.4 KB
📁 bokeh-visualization-guide/
- 📄 SKILL.md 8.6 KB
📁 chart-image-generator/
- 📄 SKILL.md 8.2 KB
📁 color-accessibility-guide/
- 📄 SKILL.md 7.2 KB
📁 d3-visualization-guide/
- 📄 SKILL.md 8.7 KB
📁 echarts-visualization-guide/
- 📄 SKILL.md 7.4 KB
📁 geospatial-viz-guide/
- 📄 SKILL.md 6.2 KB
📁 interactive-viz-guide/
- 📄 SKILL.md 8.2 KB
📁 metabase-analytics-guide/
- 📄 SKILL.md 8.2 KB
📁 network-visualization-guide/
- 📄 SKILL.md 6.1 KB
📁 plotly-interactive-guide/
- 📄 SKILL.md 7.3 KB
📁 publication-figures-guide/
- 📄 SKILL.md 7.7 KB
📁 python-dataviz-guide/
- 📄 SKILL.md 6.9 KB
📁 redash-analytics-guide/
- 📄 SKILL.md 9.8 KB
📄 SKILL.md 2.3 KB

SKILL.md

---
name: dataviz-skills
description: "14 data visualization skills (algorithm-visualizer, bokeh-visualization, chart-image-generator, color-accessibility...). 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](./algorithm-visualizer-guide/SKILL.md) | Guide to Algorithm Visualizer for interactive algorithm exploration |
| [bokeh-visualization-guide](./bokeh-visualization-guide/SKILL.md) | Guide to Bokeh for interactive browser-based research visualizations |
| [chart-image-generator](./chart-image-generator/SKILL.md) | Generate publication-quality chart images from research data |
| [color-accessibility-guide](./color-accessibility-guide/SKILL.md) | Colorblind-friendly palettes and accessible visualization design |
| [d3-visualization-guide](./d3-visualization-guide/SKILL.md) | Guide to D3.js for building custom interactive data visualizations |
| [echarts-visualization-guide](./echarts-visualization-guide/SKILL.md) | Guide to Apache ECharts for interactive research data dashboards |
| [geospatial-viz-guide](./geospatial-viz-guide/SKILL.md) | Create maps, choropleths, and spatial data visualizations for research |
| [interactive-viz-guide](./interactive-viz-guide/SKILL.md) | Interactive data visualization with Plotly, ECharts, and D3 |
| [metabase-analytics-guide](./metabase-analytics-guide/SKILL.md) | Guide to Metabase for open-source research data analytics and dashboards |
| [network-visualization-guide](./network-visualization-guide/SKILL.md) | Visualize networks, graphs, citation maps, and relational data |
| [plotly-interactive-guide](./plotly-interactive-guide/SKILL.md) | Guide to Plotly.py for interactive scientific visualizations in Python |
| [publication-figures-guide](./publication-figures-guide/SKILL.md) | Create journal-quality scientific figures with proper styling and accessibility |
| [python-dataviz-guide](./python-dataviz-guide/SKILL.md) | Publication-quality data visualization with matplotlib, seaborn, and plotly |
| [redash-analytics-guide](./redash-analytics-guide/SKILL.md) | Guide to Redash for SQL-driven research data dashboards and sharing |

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