real-estate

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Evaluate any address for home buyers and renters. Get nearby schools, transit, grocery stores, parks, restaurants, and walkability using Camino AI's location intelligence.

16installs
Sourcebarneyjm/camino-skills
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NPX Install

npx skill4agent add barneyjm/camino-skills real-estate

Tags

Translated version includes tags in frontmatter
real-estate-evaluationcamino-ailocation-intelligenceapi-integrationskill-installation

SKILL.md Content

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Installation

Companion Skills: This is part of the Camino AI location intelligence suite. Install all available skills (query, places, relationship, context, route, journey, real-estate, hotel-finder, ev-charger, school-finder, parking-finder, fitness-finder, safety-checker, travel-planner) for comprehensive coverage.
bash
# Install all skills from repo
npx skills add https://github.com/barneyjm/camino-skills

# Or install specific skills
npx skills add https://github.com/barneyjm/camino-skills --skill real-estate
Via clawhub:
bash
npx clawhub@latest install real-estate
# or: pnpm dlx clawhub@latest install real-estate
# or: bunx clawhub@latest install real-estate

Real Estate Scout

Evaluate any address or location for home buyers and renters. Combines location context analysis with targeted amenity searches to surface nearby schools, transit, grocery stores, parks, restaurants, and walkability insights.

Setup

Instant Trial (no signup required): Get a temporary API key with 25 calls:
bash
curl -s -X POST -H "Content-Type: application/json" \
  -d '{"email": "you@example.com"}' \
  https://api.getcamino.ai/trial/start
Returns: 
{"api_key": "camino-xxx...", "calls_remaining": 25, ...}
For 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.
Add your key to Claude Code:
Add to your 
~/.claude/settings.json
:
json
{
  "env": {
    "CAMINO_API_KEY": "your-api-key-here"
  }
}
Restart Claude Code.

Usage

Via Shell Script

bash
# Evaluate an address
./scripts/real-estate.sh '{"address": "742 Evergreen Terrace, Springfield", "radius": 1000}'

# Evaluate with coordinates
./scripts/real-estate.sh '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1500}'

# Evaluate with smaller radius for dense urban area
./scripts/real-estate.sh '{"address": "350 Fifth Avenue, New York, NY", "radius": 500}'

Via curl

bash
# Step 1: Geocode the address
curl -H "X-API-Key: $CAMINO_API_KEY" \
  "https://api.getcamino.ai/query?query=742+Evergreen+Terrace+Springfield&limit=1"

# Step 2: Get context with real estate focus
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"location": {"lat": 40.7589, "lon": -73.9851}, "radius": 1000, "context": "real estate evaluation: schools, transit, grocery, parks, restaurants, walkability"}' \
  "https://api.getcamino.ai/context"

Parameters

ParameterTypeRequiredDefaultDescription
addressstringNo*-Street address to evaluate (geocoded automatically)
locationobjectNo*-Coordinate with lat/lon to evaluate
radiusintNo1000Search radius in meters around the location
*Either 
address
or 
location
is required.

Response Format

json
{
  "area_description": "Residential neighborhood in Midtown Manhattan with excellent transit access...",
  "relevant_places": {
    "schools": [...],
    "transit": [...],
    "grocery": [...],
    "parks": [...],
    "restaurants": [...]
  },
  "location": {"lat": 40.7589, "lon": -73.9851},
  "search_radius": 1000,
  "total_places_found": 63,
  "context_insights": "This area offers strong walkability with multiple grocery options within 500m..."
}

Examples

Evaluate a suburban address

bash
./scripts/real-estate.sh '{"address": "123 Oak Street, Palo Alto, CA", "radius": 1500}'

Evaluate an urban apartment

bash
./scripts/real-estate.sh '{"location": {"lat": 40.7484, "lon": -73.9857}, "radius": 800}'

Evaluate a neighborhood by coordinates

bash
./scripts/real-estate.sh '{"location": {"lat": 37.7749, "lon": -122.4194}, "radius": 2000}'

Best Practices

  • Use 
    address
    for street addresses; the script will geocode them automatically
  • Use 
    location
    with lat/lon when you already have coordinates
  • Start with a 1000m radius for suburban areas, 500m for dense urban areas
  • Combine with the 
    relationship
    skill to calculate commute distances to workplaces
  • Combine with the 
    route
    skill to estimate travel times to key destinations
  • Use the 
    school-finder
    skill for more detailed school searches