data-visualization Skill
Route web data visualization work. Use when the user needs chart choice, visual critique, dashboards, maps or geospatial views, Gantt timelines, UML/software diagrams, scrollytelling, reports or exports, testing, accessibility, browser implementation, or concept-first visual design. Published by openai in plugins.
What is data-visualization Skill?
Route web data visualization work. Use when the user needs chart choice, visual critique, dashboards, maps or geospatial views, Gantt timelines, UML/software diagrams, scrollytelling, reports or exports, testing, accessibility, browser implementation, or concept-first visual design. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Browser automation
- Testing
- Data analysis
- Design and media
- Browser automation use cases
Technical details
- Install or run with Copy skill directory
When to use data-visualization Skill
- Use it for browser automation.
- Use it for testing.
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/build-web-data-visualization/skills/data-visualization/SKILL.md
What it does
Route web data visualization work. Use when the user needs chart choice, visual critique, dashboards, maps or geospatial views, Gantt timelines, UML/software diagrams, scrollytelling, reports or exports, testing, accessibility, browser implementation, or concept-first visual design.
Skill instructions
Web Data Visualization Overview Use this skill as the implicit orchestrator for the plugin. Classify the task, choose the smallest useful specialist skill set, and route before doing deep chart, renderer, testing, accessibility, or export work. Specialist skills stay explicit-only unless this router hands off to them. Default stance: the best visualization is the simplest truthful view that answers the user's question with the least decoding burden. Preserve evidence quality first: correct task abstraction, trustworthy data treatment, visible caveats, direct labels, accessible encodings, mobile viability, shareable state, and QA. Do not default to dashboards, 3D, animation, generated imagery, particles, or WebGL unless they carry analytical meaning. Contextual imagery, atmospheric marks, and motion must be evidence-bearing. Do not use broad translucent brush strokes, wispy ribbons, bokeh/orbs, cinematic wallpaper, stock-photo haze, or decorative gradients as substitutes for data layers
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Frequently asked questions
What is data-visualization?
data-visualization is a open-source AI agent skill with Copy skill directory. Route web data visualization work. Use when the user needs chart choice, visual critique, dashboards, maps or geospatial views, Gantt timelines, UML/software diagrams, scrollytelling, reports or.
Who is data-visualization best for?
data-visualization is best for reusing agent instructions, scripts, and references, browser automation workflows, testing workflows, data analysis workflows.
How do I install data-visualization?
Install or run data-visualization using Copy skill directory. Check data-visualization for the latest setup command.
Is data-visualization actively maintained?
data-visualization may need a closer maintenance check before production use.
Auto-fetched from GitHub.