An all-in-one homestay and B&B operations assistant designed to guide hosts through site evaluation, pricing strategies, OTA optimization, customer service SOPs, and financial analytics.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minsu-operator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install minsu-operator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Minsu Operator?
Minsu Operator is a highly specialized AI-driven operational assistant crafted specifically for homestay, vacation rental, and B&B owners. By integrating domain-expert workflows directly into your agent, this tool covers the entire lifecycle of hosting—from initial location scouting and structural renovation budgets to dynamic pricing engines and OTA marketplace optimization. It acts as an on-demand hospitality consultant that helps maximize occupancy rates, optimize Average Daily Rates (ADR), and streamline guest interactions.
Built to empower modern hospitality entrepreneurs, this repository is part of the growing ecosystem of Openclaw Skills. Whether you are managing urban apartments or rural villas, Minsu Operator provides data-backed checklists, communication templates, and financial evaluation models that eliminate guesswork and scale your business profitably.
Minsu Operator Use Cases
- New Host Site Evaluation: Evaluate prospective properties using a weighted 100-point scoring system to assess traffic, footfall, competitors, costs, and regulatory risks.
- Dynamic Pricing Adjustments: Calculate ideal baseline pricing, seasonal markups, and weekend adjustments to capture maximum revenue.
- OTA Platform Optimization: Diagnose low search visibility on major booking platforms (such as Ctrip, Meituan, or Tujia) and implement step-by-step ranking improvements.
- Automated Customer Service SOPs: Execute rigorous guest-care communication workflows before, during, and after a stay to guarantee five-star reviews.
- Review Recovery & Mediation: Generate empathetic, personalized public responses to negative reviews while establishing private resolution channels.
- Financial Health Auditing: Calculate core hospitality metrics including RevPAR, GOPPAR, and monthly break-even thresholds to track profitability.
How Minsu Operator Works
- Triggering the Skill: The agent identifies the user's operational intent through keywords like "homestay pricing," "B&B setup," "negative review response," or "occupancy optimization."
- Context Gathering: Based on the specific scenario, the assistant asks targeted questions regarding property characteristics, local market data, pricing structures, or guest feedback.
- Analytical Execution: The skill runs integrated algorithms such as the 100-point Location Evaluation Model or the Dynamic Pricing engine to produce quantitative recommendations.
- Structured Output Delivery: The user receives step-by-step guidance, ready-to-use communication templates, or structured comparative tables.
- Reference Consulting: The agent checks the embedded reference files for up-to-date renovation design trends and localized customer service scripts.
Minsu Operator Setup
To deploy the Minsu Operator skill on your AI agent, clone the repository into your Openclaw Skills workspace and configure the reference documents.
# Navigate to your Openclaw workspace
cd openclaw-agent/skills
# Clone the minsu-operator skill
git clone https://github.com/openclaw/minsu-operator.git
# Verify the installation path and reference templates
ls minsu-operator/references/
Ensure that the skill configuration is registered in your agent's manifest. You can customize the localized response templates in references/平台话术模板.md to match your specific brand voice and platform regulations.
Minsu Operator Data Schema & Taxonomy
This skill organizes its operational intelligence into logical structures, using mathematical weights for assessments and Markdown tables for business metrics.
Location Evaluation Weights
| Dimension | Maximum Score | Key Indicators Evaluated |
|---|---|---|
| Traffic & Accessibility | 20 Points | Proximity to attractions, public transit availability, parking convenience |
| Footfall & Demand | 25 Points | Density of nearby competitors (3km radius), tourism search trends, weekday vs. weekend ratios |
| Competitive Landscape | 20 Points | Price point densities, competitor average rating, potential for differentiation |
| Cost Structure | 20 Points | Rent-to-income ratio, renovation cost projection, utility/management overheads |
| Policy & Risk | 15 Points | Local B&B compliance, license requirements, fire safety, and hygiene standards |
Renovation Investment Tier Schema
| Tier | Unit Investment | Expected ADR | Return on Investment (ROI) Period |
|---|---|---|---|
| Economic | ¥20,000 - ¥50,000 | ¥150 - ¥300 | 8 - 12 Months |
| Comfort | ¥50,000 - ¥100,000 | ¥300 - ¥600 | 10 - 18 Months |
| Premium | ¥100,000 - ¥200,000 | ¥600 - ¥1,500 | 12 - 24 Months |
| Luxury | ¥200,000+ | ¥1,500+ | 18 - 36 Months |
Core Hospitality Formulas Used
- Occupancy Rate: Occupancy Rate = Sold Nights / Available Nights
- Average Daily Rate (ADR): ADR = Total Room Revenue / Sold Nights
- Revenue Per Available Room (RevPAR): RevPAR = Occupancy Rate * ADR
- Gross Operating Profit Per Available Room (GOPPAR): GOPPAR = RevPAR - Operating Costs per Room
Minsu Operator Advanced Features
- Multi-Platform OTA Comparative Index: Out-of-the-box support for comparing platform commission rates, target demographics, and ranking criteria across major travel sites.
- Dynamic Pricing Simulation: Adjust pricing on the fly with custom differentiation coefficients for weekends, high seasons, early-bird bookings, and consecutive stay discounts.
- Pre-configured Customer Service SOP Templates: Time-blocked automated communication flows spanning booking confirmation, day-of arrival preparation, active stay checks, and post-checkout review-generation.
- Strict Negative Review Response Framework: Empathy-first, zero-argument mediation scripts designed to convert dissatisfied guests into repeat customers.
- Extensible Style & Script References: Seamlessly link to local reference files within Openclaw Skills to dynamically fetch updated 2026 design trends and conversational scripts.
SKILL.md
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