Data Visualization — 14 Skills
SkillMedia14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Use Data Visualization — 14 Skills in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Data Visualization skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/analysis/dataviz/SKILL.md and read by ahel’s review.
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 |
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
ahel review
K1binfo
installs-packages (in algorithm-visualizer-guide/SKILL.md)
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
dataviz-skills- Source
- github.com/brycewang-stanford/auto-empirical-research-skills
github.com/brycewang-stanford/auto-empirical-research-skills
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