real-estate-expert

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: real-estate-expert
version: 1.0.0
description: Expert-level real estate systems, property management, MLS integration, CRM, virtual tours, and market analysis
category: domains
tags: [real-estate, property, mls, crm, proptech, listings]
allowed-tools:
  - Read
  - Write
  - Edit
---

# Real Estate Expert

Expert guidance for real estate systems, property management, Multiple Listing Service (MLS) integration, customer relationship management, virtual tours, and market analysis.

## Core Concepts

### Real Estate Systems
- Multiple Listing Service (MLS) integration
- Property Management Systems (PMS)
- Customer Relationship Management (CRM)
- Transaction management
- Document management
- Lease management
- Maintenance tracking

### PropTech Solutions
- Virtual tours and 3D walkthroughs
- AI-powered property valuation
- Digital signatures and e-closing
- Smart home integration
- IoT sensors for properties
- Blockchain for title management
- Augmented reality for staging

### Standards and Regulations
- RESO (Real Estate Standards Organization)
- Fair Housing Act compliance
- RESPA (Real Estate Settlement Procedures Act)
- Data privacy (GDPR, CCPA)
- ADA compliance for websites
- NAR Code of Ethics

## Property Listing System

```python
from dataclasses import dataclass
from datetime import datetime
from decimal import Decimal
from typing import List, Optional
from enum import Enum

class PropertyType(Enum):
    SINGLE_FAMILY = "single_family"
    CONDO = "condo"
    TOWNHOUSE = "townhouse"
    MULTI_FAMILY = "multi_family"
    LAND = "land"
    COMMERCIAL = "commercial"

class ListingStatus(Enum):
    ACTIVE = "active"
    PENDING = "pending"
    SOLD = "sold"
    WITHDRAWN = "withdrawn"
    EXPIRED = "expired"

@dataclass
class Property:
    """Property information"""
    property_id: str
    mls_number: str
    property_type: PropertyType
    address: dict
    listing_price: Decimal
    bedrooms: int
    bathrooms: float
    square_feet: int
    lot_size: float  # acres
    year_built: int
    description: str
    features: List[str]
    photos: List[str]
    status: ListingStatus
    listing_date: datetime
    listing_agent_id: str
    coordinates: tuple  # (latitude, longitude)

@dataclass
class ShowingRequest:
    """Property showing request"""
    showing_id: str
    property_id: str
    buyer_agent_id: str
    buyer_name: str
    requested_date: datetime
    duration_minutes: int
    status: str  # 'pending', 'confirmed', 'cancelled'
    notes: str

class PropertyListingSystem:
    """Real estate listing management system"""

    def __init__(self):
        self.properties = {}
        self.showings = []
        self.saved_searches = {}

    def create_listing(self,
                      property_data: dict,
                      agent_id: str) -> Property:
        """Create new property listing"""
        property_id = self._generate_property_id()
        mls_number = self._generate_mls_number()

        property = Property(
            property_id=property_id,
            mls_number=mls_number,
            property_type=PropertyType(property_data['property_type']),
            address=property_data['address'],
            listing_price=Decimal(str(property_data['price'])),
            bedrooms=property_data['bedrooms'],
            bathrooms=property_data['bathrooms'],
            square_feet=property_data['square_feet'],
            lot_size=property_data.get('lot_size', 0),
            year_built=property_data['year_built'],
            description=property_data['description'],
            features=property_data.get('features', []),
            photos=property_data.get('photos', []),
            status=ListingStatus.ACTIVE,
            listing_date=datetime.now(),
            listing_agent_id=agent_id,
            coordinates=property_data.get('coordinates', (0, 0))
        )

        self.properties[property_id] = property

        # Notify matching saved searches
        self._notify_saved_searches(proper