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Data storytelling

Skill Dragoon0x/everything-design-taste/skills/data-storytelling

Data narrative design, chart annotation, and turning numbers into compelling stories.From its SKILL.md

Install
npx -y skills add Dragoon0x/everything-design-taste --skill data-storytelling

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

One thing to look at

  • 9 stars9 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.

SKILL.md

1.1 KB, 224 tokens by cl100k_base, as published. Nobody here has run it

Data Storytelling

Data Narrative Principles

  1. Lead with the insight, not the data. "Sales doubled in Q3" before showing the chart.
  2. One story per chart. If a chart tells two stories, make two charts.
  3. Annotate the interesting parts. Labels on peaks, dips, and inflection points.
  4. Provide context. "42% increase" compared to what? Industry average? Last year? Goal?
  5. Design for the audience. Executives want conclusions. Analysts want data.

Chart Annotation

  • Callout labels on data points that matter.
  • Reference lines for targets/goals/averages.
  • Shaded regions for time periods of interest.
  • Brief text annotations explaining anomalies.

Presentation Order

  1. Headline: The conclusion in one sentence.
  2. Chart: Visual evidence.
  3. Context: Comparison, trend, benchmark.
  4. Implication: What this means for the business.
  5. Action: What to do about it.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.