portfolio-monitoring

Ingest financial data from Excel, PDF, and CSV files to track KPIs and flag variances.

1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/mouseqiao85/AI-Plat --skill portfolio-monitoring-mouseqiao85
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: portfolio-monitoring
Source: https://github.com/mouseqiao85/AI-Plat/tree/main/agent/skills/portfolio-monitoring
Command: npx skills add https://github.com/mouseqiao85/AI-Plat --skill portfolio-monitoring-mouseqiao85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, openpyxl, pdfplumber, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the analysis of portfolio company performance against plans by automatically ingesting financial packages, extracting KPIs, and reporting variances. It is essential for review sessions, board preparation, and covenant compliance checks.

Core Features & Use Cases

  • Financial Package Ingestion: Automatically processes Excel, PDF, and CSV financial packages.
  • KPI Extraction & Variance Analysis: Extracts key financial and operational metrics, comparing them against budgets and prior periods.
  • Flagging and Summarization: Identifies performance flags and summarizes findings in a concise executive report.
  • Trend Analysis: Charts and compares performance trends over multiple periods.
  • Use Case: When preparing for a board meeting or checking on the performance of a specific portfolio company.

Quick Start

Analyze the performance of portfolio company "Example Corp" using the latest financial package.

Frequently Asked Questions about portfolio-monitoring

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

FAQPage Schema
How do I automate financial package ingestion for portfolio performance analysis?

Tracking portfolio performance requires extracting KPIs from financial packages and comparing them against budget plans. This Skill automates extracting metrics from Excel, PDF, and CSV files to calculate budget variances and generate executive summary reports.

Can I use Python libraries for budget variance analysis on portfolio companies?

Yes, budget variance analysis for portfolio companies requires Python libraries like pandas, numpy, openpyxl, and pdfplumber. These dependencies enable the automated extraction of financial metrics and calculation of plan deviations from ingested data files.

What is the best way to extract KPIs from PDF and Excel financial packages?

The best way to extract KPIs from PDF and Excel financial packages is through automated ingestion scripts. This Skill processes those formats to identify key metrics, flag performance variances from prior periods, and summarize findings for board review.

Does this approach support trend analysis and covenant compliance checks?

Yes, trend analysis and covenant compliance checks are supported by comparing performance metrics over multiple periods. The Skill tracks extracted financial data against plans to identify variance flags and provide automated summary reports for compliance.

How do I prepare financial data files for automated performance reporting?

Preparing financial data for automated performance reporting requires saving financial packages as Excel, PDF, or CSV formats. You must provide accessible files containing budget and actuals data for the Python scripts to ingest and analyze KPIs.