realestate-market

Community

Generate hyper-local market intelligence fast.

Authorzubair-trabzada
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It helps you understand whether a specific location is favorable for real estate decisions by compiling hyper-local pricing, supply, rental, and economic signals into a single market view.

Core Features & Use Cases

  • Hyper-local local market research: Pulls median prices, price-per-square-foot trends, inventory levels, DOM, list-to-sale ratios, and rent fundamentals for a given city or ZIP using targeted web research.
  • Market classification and scoring: Computes a Market Score (0-100) with a grade plus Market Classification (Strong Seller's, Seller's, Balanced, Buyer's, Strong Buyer's) and a cycle position (Recovery, Expansion, Hyper Supply, Recession).
  • Investor strategy fit and risk framing: Translates market data into suitability ratings for buy & hold, fix & flip, BRRRR, short-term rentals, new construction, and wholesale, alongside a structured risk assessment.

Quick Start

Use the realestate-market skill to analyze the local market conditions for Dallas, TX by running /realestate market Dallas, TX.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: realestate-market
Download link: https://github.com/zubair-trabzada/ai-realestate-claude/archive/main.zip#realestate-market

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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