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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

DecisionOptions
Dashboard typeOperational for real-time monitoring, analytical for investigation and drill-down
Metrics to showOnly those that support a real decision, never "because we have the data"
Level of detailOverview first with progressive drill-down; keep comparisons side by side
Chart typeBar to compare, line for trends, pie for few parts of a whole, scatter for correlation
CustomizationOffer when roles genuinely differ, skip for a single known audience
Refresh cadenceFrequent 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.

Try it with

Design a sales dashboard for team leads reviewing weekly performance.

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Review this analytics screen for clutter and information overload.

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Which chart type fits monthly revenue by product category?

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Cut this dashboard down to the metrics that matter.

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Related skills

1.0.0

MIT

UX Design

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