realestate-market

Compile hyper-local real estate data into a Market Score report.

138|59|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/zubair-trabzada/ai-realestate-claude --skill realestate-market
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: realestate-market
Source: https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-market
Command: npx skills add https://github.com/zubair-trabzada/ai-realestate-claude --skill realestate-market

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about realestate-market

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

FAQPage Schema
How do I analyze a real estate market for a specific ZIP code?

The skill computes a Market Score from 0 to 100 and assigns a classification like Strong Seller's, Balanced, or Buyer's market. It also determines the cycle position—Recovery, Expansion, Hyper Supply, or Recession—and frames investment risks.

What is the best way to evaluate rental market pricing trends before investing?

Evaluating rental market pricing trends requires pulling median prices, price-per-square-foot data, and rent fundamentals for a given location. The skill translates this data into suitability ratings for strategies like buy and hold, fix and flip, or short-term rentals.

Can I assess real estate investment scoring for buy and hold or BRRRR strategies?

Yes, you can assess investment scoring for buy and hold, BRRRR, fix and flip, short-term rentals, new construction, and wholesale strategies. The skill translates compiled market data into specific suitability ratings for each approach alongside a structured risk assessment.

Does the hyper-local market analysis require any specific data dependencies?

The hyper-local market analysis requires WebSearch and WebFetch capabilities to gather real-time data. It operates without pre-existing data dependencies, allowing direct invocation for any city, state, ZIP, or metro location to generate a comprehensive report.

Why should I use automated market classification instead of manual inventory research?

Automated market classification computes a definitive Market Score from 0-100 and identifies the current cycle position, reducing manual research time. It compiles diverse hyper-local economic signals into a structured markdown report with clear uncertainty framing.