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Amarbharati-07
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real-estate-analyzer

Evaluate residential properties and model investment returns with financial calculations.

Updated Aug 23, 2026
Search Tags:#investment#valuation#neighborhood#real estate#property analysis#home buying
One-click install
npx skills add https://github.com/Amarbharati-07/cms1 --skill real-estate-analyzer-amarbharati-07
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: real-estate-analyzer
Source: https://github.com/Amarbharati-07/cms1/tree/main/.local/secondary_skills/real-estate-analyzer
Command: npx skills add https://github.com/Amarbharati-07/cms1 --skill real-estate-analyzer-amarbharati-07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users evaluate properties, neighborhoods, and real estate investment opportunities, providing data-driven insights for home buying and investment decisions.

Core Features & Use Cases

  • Property Assessment: Gathers and evaluates listing details, condition indicators, and red flags.
  • Valuation Analysis: Pulls comparable sales data and performs affordability calculations.
  • Neighborhood Analysis: Assesses schools, crime rates, walkability, flood risk, and market trends.
  • Investment Analysis: Models rental yields, appreciation, and key financial metrics like Cap Rate and Cash-on-Cash return.
  • Use Case: A user wants to understand if a specific house listing is a good buy, considering its price, condition, neighborhood safety, and potential as a rental property.

Quick Start

Analyze the property at 123 Main Street, Anytown, USA, focusing on its investment potential.

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 real estate property listing for investment potential?▼

To analyze real estate investment potential, the Skill evaluates listing details, estimates fair value using comparable sales data, assesses neighborhood quality, and models financial returns like Cap Rate and Cash-on-Cash yield.

What metrics are used for real estate valuation and neighborhood assessment?▼

Real estate valuation relies on comparable sales data and affordability calculations, while neighborhood assessment factors in school quality, crime rates, walkability, flood risk, and local market trends.

Can I model rental yields and cash-on-cash returns for a specific home buying target?▼

Yes, you can model rental yields and cash-on-cash returns for home buying targets by providing a property address so the Skill can aggregate financial calculations and project investment returns.

Does property analysis require Python and web scraping to gather neighborhood data?▼

Yes, property analysis requires Python for data analysis and visualization, alongside web scraping and web searching capabilities to gather listing details, comparable sales, and neighborhood risk data.

What are the limitations of automated property valuation and neighborhood analysis?▼

Automated property valuation limitations include reliance on accessible web data for comparable sales and neighborhood trends, meaning missing or restricted listing details can impact investment return accuracy.

Is web scraping comparable sales data the best way to estimate fair property value?▼

Web scraping comparable sales data is an effective method to estimate fair property value, as it aggregates current market listings and recent sales to perform data-driven affordability and valuation calculations.

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