Dashboard: AI Skill for UX Design
Dashboard is an AI skill that designs analytics screens around one rule: when everything is important, nothing is. It cuts metrics to the few that support a decision and matches each one to the right chart.
npx skills add Uxcel-Lab/product-skills --skill ux-dashboard
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What this skill does
Helps an AI assistant design dashboards that answer the user's question with a few clear metrics.
- Establishes who looks at the dashboard and what decision they make.
- Separates operational monitoring from analytical investigation before laying anything out.
- Cuts every widget that fails the question: what decision does this support?
- Places the most important metric where the eye lands first.
- Groups related metrics with containers, dividers, and white space.
- Keeps comparison data visible together instead of hiding it behind tabs.
- Matches each chart to its data: bars compare, lines show trends, scatters show correlation.
- Keeps charts honest: zero baselines, no 3D styling, no color-only meaning.
When to use it
Use it when you need an AI assistant to:
- design an analytics or reporting dashboard;
- decide which metrics earn a place on screen;
- choose the right chart for each data set;
- fix a cluttered, overloaded dashboard;
- plan drill-down from overview to detail;
- add role-based customization for different audiences;
- check charts for misleading axes or styling.
Decisions this skill helps you make
| Decision | Options |
|---|---|
| Dashboard type | Operational for real-time monitoring, analytical for investigation and drill-down |
| Metrics to show | Only those that support a real decision, never "because we have the data" |
| Level of detail | Overview first with progressive drill-down; keep comparisons side by side |
| Chart type | Bar to compare, line for trends, pie for few parts of a whole, scatter for correlation |
| Customization | Offer when roles genuinely differ, skip for a single known audience |
| Refresh cadence | Frequent updates for monitoring, matched to decision speed for analysis |
How the skill works
1
Establish the audience
The skill identifies who looks at the dashboard and what decision the data should drive.
2
Apply the core
It prioritizes for scanning, groups related metrics, and matches every chart to its data.
3
Surface trade-offs
It presents density, drill-down, and customization as deliberate choices instead of showing everything.
