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mde-real-estate

Provide real estate expertise, property valuation, and lease management for mdeai.co.

2|1|Updated May 20, 2026
Search Tags:#market analysis#valuation#property management#real estate#lease management
One-click install
npx skills add https://github.com/amo-tech-ai/mdeapp --skill mde-real-estate
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: mde-real-estate
Source: https://github.com/amo-tech-ai/mdeapp/tree/main/.claude/skills/mde-real-estate
Command: npx skills add https://github.com/amo-tech-ai/mdeapp --skill mde-real-estate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scikit-learn, sqlalchemy, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive real estate knowledge, tailored for mdeai.co's V1 marketplace and V2+ MLS technical playbook, and empowers you to make informed decisions in the real estate vertical.

Core Features & Use Cases

  • Real Estate Expertise: Access expert guidance on real estate systems, property management, MLS integration, CRM, virtual tours, and market analysis.
  • Property Valuation and Analytics: Estimate property values, analyze market trends, and calculate inventory metrics.
  • Lease Management: Handle lease agreements, maintenance requests, and rent payments.
  • Use Case: Whether you're building real estate features, writing listings, qualifying leads, generating neighborhood guides, or making product/architectural decisions, this skill offers the necessary tools and knowledge.

Quick Start

Use the mde-real-estate skill to generate a property description from listing data.

Frequently Asked Questions about mde-real-estate

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

FAQPage Schema
How do I estimate property values and analyze real estate market trends using Python?▼

Property valuation and market analysis require Python libraries like pandas, numpy, and scikit-learn. This Skill processes listing data to estimate property values, analyze market trends, and calculate inventory metrics for real estate systems.

Can I use SQLAlchemy to handle lease agreements and rent payments for property management?▼

Yes, lease management functionality integrates with SQLAlchemy and Supabase. You can handle lease agreements, process rent payments, and manage maintenance requests using Python data models and database connections.

Does this real estate analytics skill work with Supabase and WhatsApp Business APIs?▼

Yes, the Skill integrates directly with Supabase and WhatsApp Business APIs. This integration supports real estate marketplace features, technical playbooks, and communication workflows for property management systems.

What is the best way to generate property descriptions from raw MLS listing data?▼

Generating property descriptions from listing data is a core use case. The Skill processes raw MLS inputs using Python scripts to output tailored real estate property descriptions, neighborhood guides, and listing content.

Do I need pandas and scikit-learn to qualify leads and build real estate CRM features?▼

Yes, qualifying leads and building CRM features requires pandas, numpy, and scikit-learn. These dependencies enable data processing, lead scoring algorithms, and integration with real estate systems and virtual tours.

Why does my real estate market analysis fail without numpy and requests dependencies?▼

Real estate market analysis fails without numpy and requests because numpy handles numerical property valuation calculations, while requests manages API data retrieval from Supabase and external real estate data sources.

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