mde-real-estate

Orchestrates real-estate marketplace work, MLS playbooks, and listing content generation for mdeai.co.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Real-estate work on mdeai.co spans product decisions, MLS architecture, and content generation, and this Skill routes each task to the correct playbook or sub-agent instead of forcing you to hunt through scattered documentation. ## Core Features & Use Cases - V1 Marketplace Playbook: Covers the Medellín rental marketplace domain including landlord onboarding, listing creation wizards, the 28-table Supabase schema, edge functions, and the 30-day founder outreach plan. - V2 MLS Technical Playbook: Provides guidance for MLS/IDX/RETS integration, listing deduplication, PostGIS geospatial clustering, and automated valuation models when scaling beyond manual listings. - Three Content Sub-Agents: Generates BANT-R lead qualification reports, neighborhood guides using the PLACE framework, and MLS-ready property descriptions with Fair Housing compliance checks. - Use Case: When triaging a new landlord lead in the landlord_inbox table, load the lead-qualifier sub-agent to score the lead on Budget, Authority, Need, Timeline, and Readiness, then produce a prioritized outreach strategy. ## Quick Start Ask the assistant to use the mde-real-estate skill to qualify a new inbound lead from the landlord inbox and generate a first-contact strategy.

Frequently Asked Questions about mde-real-estate

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

FAQPage Schema
How do I qualify a real estate lead with BANT-R?

Provide the lead name, source, and raw notes to the lead-qualifier sub-agent. It scores Budget, Authority, Need, Timeline, and Readiness on 1-5 scales, applies a source quality weight, and outputs a priority tier with a tailored first-contact strategy.

How do I generate an MLS-ready property description?

Supply 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 and checks all output against Fair Housing compliance rules.

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

Use marketplace-v1.md for any current mdeai.co work involving manual landlord onboarding and single-listing entry. Load mls-v2.md only when the task explicitly mentions MLS, RETS, IDX, RESO, or post-V1 architecture like geospatial clustering at scale.

Does this skill cover short-term rental or generic CRM tasks?

No. Short-term rental flows belong to the mde-task-lifecycle skill, and generic CRM work is out of scope. This skill targets the real-estate vertical: listings, leads, neighborhood guides, and marketplace architecture.

What is the PLACE framework for neighborhood guides?

PLACE structures neighborhood guides across People, Lifestyle, Access, Cost, and Environment dimensions. The neighborhood-guide sub-agent also requires honest trade-offs, specific local business names, and market data woven into narrative form.