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Location Aware Seeding

Generate location-specific industry benchmark defaults for properties into the `properties.research_values` JSONB column.

Updated Mar 10, 2026
Search Tags:#research#benchmarks#location#property#defaults#financials
One-click install
npx skills add https://github.com/ricardocidale/hbg-screens --skill location-aware-seeding
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Location Aware Seeding
Source: https://github.com/ricardocidale/hbg-screens/tree/main/.claude/skills/research/location-aware-seeding
Command: npx skills add https://github.com/ricardocidale/hbg-screens --skill location-aware-seeding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

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_values with 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.

Frequently Asked Questions about Location Aware Seeding

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate location-specific property benchmarks instead of national averages?▼

To generate location-specific property benchmarks, this Skill detects the region of a new property and applies market-appropriate financial ranges, such as ADR and taxes, to the research_values JSONB column before AI research runs.

How do I set regional financial defaults for new property records?▼

You can set regional financial defaults by using the automated seeding mechanism which populates the properties.research_values column with industry benchmark ranges tailored to the property's specific location.

Can I override automated regional benchmark profiles for specific properties?▼

Yes, the system includes override mechanisms that allow you to manually adjust or replace the automatically generated regional profile benchmarks applied during the property creation process.

What scripts are required to detect regions and apply property financial profiles?▼

The seeding process requires the server/researchSeeds.ts script to execute region detection and apply the corresponding regional financial profiles to the property's research values.

Why do my property financials show generic US averages instead of local market ranges?▼

Generic US averages appear when location-specific seeding is bypassed; running the region detection process replaces them with accurate local market ranges before AI analysis begins.

Does location-aware seeding work for hotel properties in specific metro areas?▼

Yes, the seeding process works for hotel properties by detecting specific metro areas like NY Metro and applying localized benchmarks such as $280–$450 ADR and 1.8%–3.5% property tax.

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