Data presentation
Turn data into compelling narratives + effective dashboards. Use when presenting analytics to stakeholders, designing KPI dashboards, structuring an executive summary around metrics, building data visualizations, or implementing real-time monitoring patterns.From its SKILL.md
npx -y skills add The-AIOS/aios --skill data-presentationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 24 stars24 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
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Data Presentation
Two complementary skills for taking raw data to the audience: storytelling for the narrative arc, dashboards for the always-on view.
When to load which reference
| Working on | Read |
|---|---|
| One-off presentation/report — building the narrative, choosing the right viz, contextualizing numbers | references/data-storytelling.md |
| Always-on dashboards — metric selection, layout, real-time patterns, role-based views | references/kpi-dashboard-design.md |
Core distinction
- Storytelling answers "what should this audience walk away believing?" — argument first, viz supports it.
- Dashboard answers "is the system healthy right now?" — metric set, layout, visual scan, drill paths.
Don't confuse the two. A dashboard is not a story; a story is not a dashboard. Pick the mode that matches the audience's need.
For visual execution (typography, color, layout), see anthropic/canvas-design and anthropic/frontend-design.