portfolio-dashboard-builder

Design

Generates portfolio dashboards with visualizations, trends

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Portfolio Dashboard Builder

Overview

The Portfolio Dashboard Builder skill creates visual dashboards for portfolio monitoring and LP reporting. It generates standardized and custom visualizations to communicate portfolio performance effectively.

Capabilities

Dashboard Generation

Create standardized portfolio dashboards
Support custom dashboard configurations
Generate multiple view types (summary, detail)
Enable drill-down capabilities

Visualization Creation

Generate charts and graphs
Create portfolio heatmaps
Build comparison visualizations
Support interactive elements

Performance Tracking

Visualize fund performance metrics
Track company performance over time
Compare against benchmarks
Highlight top/bottom performers

LP Reporting Support

Generate LP-ready visualizations
Support ILPA reporting formats
Create quarterly report exhibits
Enable export to presentations

Usage

Build Portfolio Dashboard

Input: Portfolio data, dashboard configuration
Process: Generate visualizations
Output: Complete dashboard, export files

Create Custom Visualization

Input: Data, visualization specifications
Process: Build specified visualization
Output: Custom chart/graph

Generate LP Report Exhibits

Input: Quarterly data, report template
Process: Create standardized exhibits
Output: LP-ready visualizations

Update Existing Dashboard

Input: New data, existing dashboard
Process: Refresh with new data
Output: Updated dashboard

Dashboard Components

Component	Purpose
Portfolio Summary	High-level fund metrics
Company Grid	Status by company
Performance Charts	Returns over time
Sector Analysis	Allocation views
Benchmark Comparison	Performance vs. benchmarks

Integration Points

Quarterly Portfolio Reporting: Dashboard for reporting
Exit Readiness Assessment: Exit-focused views
KPI Aggregator: Feed data into dashboards
Portfolio Reporter (Agent): Support reporting

Visualization Types

Type	Use Case
Bar Charts	Period comparisons
Line Charts	Trends over time
Heatmaps	Multi-dimensional status
Pie/Donut	Allocation breakdown
Scatter Plots	Multi-variable analysis
Tables	Detailed data display

Best Practices

Prioritize clarity over complexity
Use consistent color schemes
Include appropriate context
Enable drill-down for details
Optimize for audience (internal vs. LP)