real-estate

Routes real-estate and rental marketplace work to domain playbooks and content-generation sub-agents.

1|Updated Sep 15, 2026
One-click install
npx skills add https://github.com/amoai-tech/mdeai --skill real-estate-amoai-tech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: real-estate
Source: https://github.com/amoai-tech/mdeai/tree/main/.claude/skills/real-estate
Command: npx skills add https://github.com/amoai-tech/mdeai --skill real-estate-amoai-tech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Real-estate and rental work spans many concerns — marketplace product logic, MLS integration, listing copywriting, lead qualification, and neighborhood content — and choosing the wrong playbook wastes effort. This Skill acts as a router that directs each task to the correct domain reference or sub-agent. ## Core Features & Use Cases - V1 vs V2 decision rule: Defaults to the mdeai.co V1 rental marketplace playbook (landlord onboarding, listings, leads, showings, 28-table Supabase schema) and only loads the MLS/IDX/RETS playbook when the task explicitly involves post-V1 architecture. - Content-generation sub-agents: Generates MLS-ready property descriptions, neighborhood guides using the PLACE framework, and BANT-R lead qualification reports with priority routing. - Industry context reference: Provides real-estate systems knowledge covering MLS integration, property management, valuation models, lease management, and Fair Housing compliance. - Use Case: When asked to write a listing description for a Medellín apartment, the Skill routes to the property-description sub-agent, which produces MLS, social media, and luxury versions with Fair Housing compliance checks. ## Quick Start Ask the assistant to generate a property description for a 2-bedroom apartment in Laureles, Medellín using the real-estate skill.

Frequently Asked Questions about real-estate

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

FAQPage Schema
How do I generate a real estate listing description from property specs?

Provide bedrooms, bathrooms, square footage, price, location, and key features to the property-description sub-agent. It produces MLS, social media, and luxury versions using benefit-driven copywriting with automatic Fair Housing compliance checks.

How do I qualify and score inbound real estate leads?

Use the lead-qualifier sub-agent with the lead's name, source, and available notes. It scores Budget, Authority, Need, Timeline, and Readiness on a 1-5 scale, applies a source quality weight, and assigns a priority tier with response SLA.

When should I use the V1 marketplace playbook versus the MLS V2 playbook?

Default to the V1 marketplace playbook for any current mdeai.co rental work involving manual landlord onboarding and single-listing entry. Load the MLS V2 playbook only when the task explicitly mentions MLS, RETS, IDX, RESO, or multi-source aggregation.

Does the lead qualification framework work with incomplete lead data?

Yes. Missing BANT-R dimensions default to a score of 2 rather than 1 to avoid over-penalizing incomplete data. Leads with only name and source are flagged as NEEDS DISCOVERY with a first-contact strategy focused on extracting qualification data.

What are the limitations of the V1 rental marketplace approach?

V1 supports only manual single-listing entry via the host wizard, targeting roughly 50 listings with client-side map clustering. It explicitly excludes billing, MLS integration, multi-source scraping, AI auto-reply, and pricing recommendations, which are deferred to V2.