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Hospitality Expert

This one gives you a working property management system with room status tracking, reservations, and guest folios. It covers the full check-in to check-out flow with concrete data structures for handling room types, reservation statuses, and billing. The code includes things you'd actually need like OTA integration standards, channel managers, and revenue management concepts. Useful if you're building hospitality software or need to understand how hotel systems work together. The PMS implementation is surprisingly complete with folio management and room availability logic, though you'll want to extend the payment processing and housekeeping workflows for production use.

skills.sh installs
296
GitHub stars
44
last updated
Aug 21, 2026

Install

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

Installs into .claude/skills of the current project.

Files

Hospitality Expert

Expert guidance for hotel management, reservation systems, property management systems (PMS), guest services, revenue management, and hospitality technology solutions.

Core Concepts

Hotel Management Systems

  • Property Management System (PMS)
  • Central Reservation System (CRS)
  • Revenue Management System (RMS)
  • Channel Manager
  • Point of Sale (POS)
  • Guest Relationship Management (GRM)
  • Housekeeping management

Technologies

  • Mobile check-in/check-out
  • Digital key systems
  • Guest messaging platforms
  • IoT for room automation
  • AI chatbots for customer service
  • Contactless payments
  • Energy management systems

Standards and Protocols

  • HTNG (Hotel Technology Next Generation)
  • OpenTravel Alliance standards
  • PCI-DSS for payment security
  • ADA compliance for accessibility
  • Brand standards (if franchise)
  • OTA integrations (Booking.com, Expedia)

Revenue Management System

import numpy as np

class RevenueManagementSystem:
    """Hotel revenue management and dynamic pricing"""

    def __init__(self):
        self.pricing_rules = []
        self.demand_forecast = {}

Sponsors

Details

Repository
github.com/personamanagmentlayer/pcl
Category
Sales & Marketing
First seen
Jun 3, 2026

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