Location Aware Seeding
CommunitySmart property defaults by location.
Authorricardocidale
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the generation of location-specific financial benchmarks for new properties, replacing generic national averages with relevant regional data before AI research begins.
Core Features & Use Cases
- Automated Default Generation: Creates industry benchmark defaults (ADR, occupancy, taxes, etc.) based on a property's location.
- Enhanced Accuracy: Ensures initial property data reflects realistic market conditions, improving subsequent AI analysis.
- Use Case: When a new hotel is added in the "NY Metro" region, the skill automatically populates its
research_valueswith benchmarks like "$280–$450" ADR and "1.8%–3.5%" property tax, instead of generic US averages.
Quick Start
Use the Location Aware Seeding skill to generate research values for a property located in Upstate New York.
Dependency Matrix
Required Modules
None requiredComponents
referencesscripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Location Aware Seeding Download link: https://github.com/ricardocidale/hbg-screens/archive/main.zip#location-aware-seeding Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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