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portfolio-monitoring

Monitor private equity portfolio KPIs and detect classification drift.

Updated Apr 25, 2026
Search Tags:#benchmarking#performance tracking#board reporting#private equity#portfolio monitoring
One-click install
npx skills add https://github.com/bolnet/private-equity --skill portfolio-monitoring-bolnet
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: portfolio-monitoring
Source: https://github.com/bolnet/private-equity/tree/main/finance-mcp-plugin/skills/private-equity/portfolio-monitoring
Command: npx skills add https://github.com/bolnet/private-equity --skill portfolio-monitoring-bolnet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, scikit-learn, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables private equity professionals to track portfolio KPIs, detect classification drift, generate quarterly dashboards, and benchmark against market standards, ensuring informed decision-making and proactive portfolio management.

Core Features & Use Cases

  • KPI Dashboard Generation: Create traffic-light status dashboards for KPI tracking.
  • Drift Detection: Detect and analyze classification drift from initial investment thesis.
  • Benchmark Comparison: Compare portfolio performance against public market benchmarks.
  • Alert Review: Identify red flags and underperforming companies.
  • Board Reporting: Generate board reporting packages with narrative and supporting tables.
  • Use Case: A PE professional can use this Skill to monitor a portfolio's KPIs, identify a company with deteriorating performance, generate a drift report, compare market benchmarks, and prepare a board report highlighting key findings.

Quick Start

Generate a KPI dashboard for all portfolio companies in Q1 2024.

Frequently Asked Questions about portfolio-monitoring

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track private equity portfolio KPIs and generate a quarterly dashboard?▼

This Skill automates private equity portfolio monitoring by generating traffic-light status dashboards that aggregate KPI metrics for quarterly tracking. It analyzes portfolio data to visualize performance and identify underperforming companies.

What is classification drift detection in private equity portfolio monitoring?▼

Classification drift detection identifies when a portfolio company's performance deviates from its initial investment thesis. This Skill uses machine learning classification to analyze the drift and generate detailed reports highlighting deteriorating performance.

Can I benchmark private equity portfolio performance against public market standards?▼

Yes, you can benchmark private equity performance against public market standards. This Skill compares your portfolio KPIs with market benchmarks to evaluate relative performance and inform proactive portfolio management decisions.

How do I prepare a board reporting package for portfolio performance?▼

You prepare a board reporting package by generating narrative summaries and supporting tables that highlight key portfolio findings. This Skill compiles KPI dashboards, drift reports, and benchmark comparisons into a comprehensive board report.

Do I need pandas and scikit-learn to run portfolio monitoring and drift detection?▼

Yes, this Skill requires pandas, scikit-learn, and requests to function. Pandas handles KPI data analysis, scikit-learn powers the machine learning classification for drift detection, and requests manages external data retrieval for benchmarking.

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