dataviz-skills
Skill298 starsChanged 8 months agoMITView on GitHub
14 data visualization skills. Trigger: charts, plots, figures, publication-quality graphics. Design: one skill per tool with code templates and academic formatting conventions.
In this repository39 other files it gives its agents.
- econometrics-skillsSkill
- statistics-skillsSkill
- wrangling-skillsSkill
- ai-ml-skillsSkill
- biomedical-skillsSkill
- business-skillsSkill
- chemistry-skillsSkill
- cs-skillsSkill
- ecology-skillsSkill
- economics-skillsSkill
- education-skillsSkill
- finance-skillsSkill
- geoscience-skillsSkill
- humanities-skillsSkill
- law-skillsSkill
- math-skillsSkill
- pharma-skillsSkill
- physics-skillsSkill
- social-science-skillsSkill
- discovery-skillsSkill
- fulltext-skillsSkill
- metadata-skillsSkill
- search-skillsSkill
- automation-skillsSkill
- deep-research-skillsSkill
- funding-skillsSkill
- methodology-skillsSkill
- paper-review-skillsSkill
- code-exec-skillsSkill
- diagram-skillsSkill
- document-skillsSkill
- knowledge-graph-skillsSkill
- ocr-translate-skillsSkill
- scraping-skillsSkill
- citation-skillsSkill
- composition-skillsSkill
- latex-skillsSkill
- polish-skillsSkill
- templates-skillsSkill
The file
Files
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 |
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

