| name | dashboard-generation |
| displayName | Dashboard Generation |
| tagline | Generate custom analytics dashboards with KPIs, charts, and automated data refreshes. |
| description | Creates custom analytics dashboards with key performance indicators,
interactive charts, and automated data refresh schedules. Connects to
data sources, designs metric visualizations, and sets up alerting for
KPI thresholds. Supports executive dashboards, team dashboards, and
operational monitoring views.
|
| department | ["Data & Analytics","Product","Engineering"] |
| use_cases | ["Business Intelligence","Data Visualization","KPI Tracking"] |
| tools_required | ["PostgreSQL MCP","Mixpanel MCP"] |
| agents_compatible | ["Claude / Claude Code","Cursor","Windsurf","ChatGPT","Any MCP-compatible agent"] |
| author | Webrix |
| verified | true |
| updatedAt | "2026-05-08T00:00:00.000Z" |
| version | 1.0.0 |
| exampleInput | Build a product metrics dashboard with:
- Daily/weekly active users
- Feature adoption rates
- Revenue per user
- NPS score trend
|
| exampleOutput | Product Metrics Dashboard
PANELS
Row 1: Overview KPIs
DAU: 2,840 | WAU: 8,200 | MAU: 18,400 | DAU/MAU: 15.4%
Row 2: Active Users Trend
Line chart: DAU/WAU/MAU over last 90 days
Trendline: +3.2% weekly growth
Row 3: Feature Adoption
Bar chart: Top 10 features by weekly active users
Heatmap: Feature usage by user segment
Row 4: Revenue Metrics
ARPU: $42/month | LTV: $504 | Expansion Revenue: +12% MoM
Line chart: MRR trend with cohort breakdown
Row 5: NPS Trend
Current NPS: 42 | Promoters: 58% | Detractors: 16%
Line chart: NPS over last 6 months
DATA REFRESH: Every 4 hours
ALERTS: KPI drops >10% WoW
|
Dashboard Generation
Generate custom analytics dashboards with KPIs, charts, and automated data refreshes.
Integrations: PostgreSQL, Mixpanel
When to Use
- The user needs a custom dashboard for business or product metrics
- KPIs need to be visualized and tracked over time
- The user mentions "dashboard", "KPI tracking", or "data visualization"
Steps
Step 1: Define Metrics
Identify the KPIs and metrics to display on the dashboard.
Step 2: Design Layout
Arrange panels and charts in a logical visual hierarchy.
Step 3: Connect Data Sources
Set up queries and data connections for each metric.
Step 4: Configure Refresh and Alerts
Set data refresh schedules and threshold-based alerts.
Output
Deliver:
- Dashboard layout with configured panels
- Data source queries
- Refresh schedule and alert rules
