dataviz-skills
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Best use case
dataviz-skills is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Teams using dataviz-skills should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/dataviz/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How dataviz-skills Compares
| Feature / Agent | dataviz-skills | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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