Real Estate Expert

Builds property listing systems with MLS integration, CRM tools, and showing management. Includes search with price ranges, bed/bath filters, and location radius queries, plus comparative market analysis and price-per-sqft calculations. The code covers property types from single-family to commercial, handles listing statuses, and manages showing requests between buyer and listing agents. Good foundation if you're building PropTech platforms or internal real estate tools, though you'll need to connect it to actual MLS feeds and add payment processing for transactions. The RESO standards compliance and Fair Housing Act guidance help keep you on the right side of regulations.

skills.sh installs: 828
GitHub stars: 44
last updated: Aug 21, 2026

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Install

$ npx -y skills add personamanagmentlayer/pcl --skill real-estate-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

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 Valuation and Analytics

import numpy as np
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.preprocessing import StandardScaler

class PropertyValuationSystem:
    """AI-powered property valuation"""

SKILL.md on GitHub