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real-estate-analyzer

Analyze residential property listings, comps, and investment returns.

1|Updated Aug 24, 2025
Search Tags:#investment#valuation#neighborhood#real estate#property analysis#home buying
One-click install
npx skills add https://github.com/Pixoraft/KirpalSecure-site --skill real-estate-analyzer-pixoraft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: real-estate-analyzer
Source: https://github.com/Pixoraft/KirpalSecure-site/tree/main/.local/secondary_skills/real-estate-analyzer
Command: npx skills add https://github.com/Pixoraft/KirpalSecure-site --skill real-estate-analyzer-pixoraft

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users evaluate real estate properties, neighborhoods, and investment potential, making informed decisions for home buying or investment.

Core Features & Use Cases

  • Property Assessment: Analyzes listing details, condition indicators, and identifies potential red flags.
  • Valuation Analysis: Pulls comparable sales data and estimates fair market value.
  • Neighborhood Analysis: Assesses schools, crime rates, walkability, and future development.
  • Investment Analysis: Models rental yields, appreciation, and return on investment using various rules and underwriting.
  • Use Case: A user wants to understand if a specific house on the market is a good purchase, both for living in and as a potential 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 property's investment potential using comparable sales data?▼

To analyze real estate investment potential, this Skill pulls comparable sales data via web fetching to estimate fair market value and models financial returns using Python for calculations like cap rates and cash-on-cash returns.

What factors are evaluated in a neighborhood analysis for home buying?▼

Neighborhood analysis for home buying evaluates local schools, crime rates, walkability, and future development plans to help users assess the overall livability and long-term value of the area.

How do I calculate cap rates and cash-on-cash returns for a rental property?▼

Calculating cap rates and cash-on-cash returns for rental properties is handled by modeling rental yields and appreciation underwriting using Python-based financial calculations within the Skill.

Can I assess real estate listing details and identify potential red flags?▼

Yes, property assessment evaluates residential listing details and condition indicators to identify potential red flags, helping buyers and investors make informed decisions before purchasing.

Do I need Python to model rental yields and estimate fair market value?▼

Yes, Python is required to perform the financial calculations for modeling rental yields and investment returns, while web fetching is necessary to pull the comparable sales data needed for fair market value estimation.

What is the best way to underwrite a residential real estate investment opportunity?▼

The best way to underwrite residential real estate investments is by analyzing listing details, estimating fair value with comps, assessing neighborhood factors, and modeling investment returns like rental yields and appreciation.

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