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Data visualization

Skill yigityildiz0/universal-ai-skill-library/skills/common/data-visualization

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Install
npx -y skills add yigityildiz0/universal-ai-skill-library --skill data-visualization

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

3 things to look at

  • 18 days oldThe repository was created 18 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Design, implement, critique, or validate charts and quantitative visualizations with correct encodings, annotations, accessibility, and source context. Use for chart, graph, data visualization, visualizing metrics, dashboard chart, or figure review.

SKILL.md

1.0 KB, as published. Nobody here has run it

Data Visualization

Choose the chart that makes the decision-relevant comparison easiest to see.

  1. Identify the audience, decision, measure, comparison, uncertainty, and source date.
  2. Choose a simple encoding: position/length before color/area; avoid charts that exaggerate tiny differences.
  3. Label units, denominators, time window, filters, sample size where relevant, and uncertainty or data gaps.
  4. Use accessible contrast, non-color cues, readable annotations, and a text alternative or concise finding.
  5. Validate the data transformation and visually inspect the rendered output.

Do not use misleading truncated axes, decorative 3D, unlabelled dual axes, or color-only meaning without a reasoned exception.

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