visualize-data Skill
Design, build, revise, or QA quantitative charts and figures. Use when an analytical answer needs visual judgment, whether for an inline answer, report, dashboard, notebook, or artifact. Published by openai in role-specific-plugins.
What is visualize-data Skill?
Design, build, revise, or QA quantitative charts and figures. Use when an analytical answer needs visual judgment, whether for an inline answer, report, dashboard, notebook, or artifact. Published by openai in role-specific-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
- Data analysis
- Design and media
- Data analysis use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use visualize-data Skill
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/role-specific-plugins
- Skill file: plugins/data-analytics/skills/visualize-data/SKILL.md
What it does
Design, build, revise, or QA quantitative charts and figures. Use when an analytical answer needs visual judgment, whether for an inline answer, report, dashboard, notebook, or artifact.
Skill instructions
Related Skills Use $metric-diagnostics when the visual needs an explanation of a metric movement. Use $build-report when the visual is part of a durable analytical report. Data Visualization Create quantitative visuals that are analytically sound, immediately readable, and polished enough to ship in a report, memo, slide, dashboard, notebook, widget, or HTML artifact. Treat charts as evidence for a takeaway. Redesign charts that are visually attractive but analytically weak, and revise charts that are technically correct but hard to interpret. Runtime Delivery Routing If surface = chatgptweb and mode = workmode are both positively identified, do not render with Data Analytics MCP chart or table widgets, do not call renderchart or rendertable for inline delivery, and do not select an MCP artifact as the visual surface. This branch applies only after another workflow has already selected inline delivery; it does not choose inline over a report, dashboard, HTML, notebook, or other surface
Explore related resources
Frequently asked questions
What is visualize-data?
visualize-data is a open-source AI agent skill with Copy skill directory. Design, build, revise, or QA quantitative charts and figures. Use when an analytical answer needs visual judgment, whether for an inline answer, report, dashboard, notebook, or artifact.
Who is visualize-data best for?
visualize-data is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.
How do I install visualize-data?
Install or run visualize-data using Copy skill directory. Check visualize-data for the latest setup command.
Is visualize-data actively maintained?
visualize-data may need a closer maintenance check before production use.
Auto-fetched from GitHub.
