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canvas2d-data-visualization Skill

AI Agent SkillJavaScriptOpen source

Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture. Published by openai in plugins.

What is canvas2d-data-visualization Skill?

Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture. 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
91/100

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
  • Testing
  • Data analysis
  • Testing use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use canvas2d-data-visualization Skill

  • Use it for testing.
  • Use it for data analysis.

Built with

JavaScriptCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/plugins
  • Skill file: plugins/build-web-data-visualization/skills/canvas2d-data-visualization/SKILL.md

What it does

Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML architecture.

Skill instructions

Canvas2D Data Visualization Overview Use this skill when raster rendering is the practical choice. Canvas2D is strong for dense scatterplots, sparkline walls, heatmaps, streaming traces, tiled timelines, draggable analytical workspaces, and other views where SVG or DOM overhead becomes the limiting factor. Default assumption: keep a retained scene model in application state even if the actual drawing is immediate-mode Canvas. Any visualization or interaction that can be built in SVG can usually be built in Canvas2D too, but the retained geometry, hit testing, focus model, and accessibility layer become the application's responsibility. Choose Canvas for performance or rendering control; keep SVG/HTML when native DOM semantics, text, accessibility, or exportability matter more than redraw speed. Canvas2D can also be simpler or faster than WebGL for flat immediate-mode workloads because it avoids shader setup, buffer uploads, GPU context pressure, and custom WebGL lifecycle code. Move fr

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Frequently asked questions

What is canvas2d-data-visualization?

canvas2d-data-visualization is a open-source AI agent skill with Copy skill directory. Render data visualizations with Canvas2D. Use when the visualization needs high mark counts, fast redraws, immediate-mode rendering, custom hit testing, or a hybrid Canvas plus SVG or HTML.

Who is canvas2d-data-visualization best for?

canvas2d-data-visualization is best for reusing agent instructions, scripts, and references, testing workflows, data analysis workflows.

How do I install canvas2d-data-visualization?

Install or run canvas2d-data-visualization using Copy skill directory. Check canvas2d-data-visualization for the latest setup command.

Is canvas2d-data-visualization actively maintained?

canvas2d-data-visualization may need a closer maintenance check before production use.

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Last commit
9 days ago
Repository age
5 months
License
Unknown

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