data-dashboard

Plan, build, review, or improve a decision-focused dashboard with metric definitions, owners, filters, freshness, alerts, and validation. Use for dashboard, KPI dashboard, analytics dashboard, reporti

SKILL.md

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Data Dashboard

Build a dashboard as a decision interface, not a collection of charts.

  1. Define audience, decisions, owner, cadence, data freshness, metric contracts, and action thresholds.
  2. Limit the primary view to the few measures that change decisions; place diagnostic detail behind drill-downs.
  3. Specify filters, segmentation, comparison baselines, empty/error states, and point-in-time semantics.
  4. Validate each displayed measure against the source/query and show data freshness/known gaps.
  5. Review usability, accessibility, and performance before publishing.

Do not silently create external dashboards, connect data sources, or send alerts. Treat threshold colors as decision cues backed by a named owner.

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