real-estate-analyzer

Analyze residential property listings and investment opportunities with market data and financial metrics.

18|4|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/DevHive1/DevHive-Cli --skill real-estate-analyzer-devhive1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: real-estate-analyzer
Source: https://github.com/DevHive1/DevHive-Cli/tree/main/agents/real-estate-analyzer
Command: npx skills add https://github.com/DevHive1/DevHive-Cli --skill real-estate-analyzer-devhive1

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This skill removes the guesswork from real estate decisions by providing a structured, data-driven framework to evaluate property listings, neighborhood quality, and investment viability.

Core Features & Use Cases

  • Valuation Analysis: Compare property listings against sold comps and market indices to determine fair value.
  • Investment Modeling: Calculate key metrics like Cap Rate, Cash-on-Cash return, and DSCR to assess rental property profitability.
  • Due Diligence: Access a comprehensive checklist for inspections, flood zones, and permit history to identify hidden risks before making an offer.

Quick Start

Ask the real estate analyzer to evaluate the property listing at 123 Maple Street and provide a full investment breakdown including estimated cash flow and cap rate.

Frequently Asked Questions about real-estate-analyzer

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

FAQPage Schema
How do I analyze a residential property listing to determine if it's a good real estate investment?

Real estate investment analysis synthesizes market data, comparable sales, and financial metrics like Cap Rate and Cash-on-Cash return to evaluate property profitability and determine fair valuation. It uses Python-based financial modeling to calculate estimated cash flow.

How do I calculate mortgage affordability and cash flow for a rental property?

Mortgage affordability and rental cash flow are calculated using Python-based financial modeling to compute key investment metrics like Cap Rate, Cash-on-Cash return, and DSCR, assessing overall rental property profitability and investment viability.

What due diligence checks are needed to identify hidden risks before buying a home?

Property due diligence requires a comprehensive checklist covering inspections, flood zones, and permit history to identify hidden risks before making an offer. This structured assessment removes guesswork from home buying decisions and neighborhood quality evaluation.

Does this real estate valuation process require web search capabilities to find comparable sales?

Yes, accurate property valuation analysis requires web search capabilities to gather current market data and comparable sold sales. This data is synthesized with financial metrics to determine fair property value and assess investment opportunities.

What's the best way to assess neighborhood quality for a home buying decision?

Neighborhood assessment for home buying is best conducted through a structured, data-driven framework that evaluates local market data and property listings. This approach synthesizes comparable sales and affordability calculations to support informed decisions.