Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Real Estate Intelligence
Evaluate any address for home buyers and renters. Get nearby schools, transit, grocery stores, parks, restaurants, and walkability using Camino AI's location...
skill openclawclawhub Free
Evaluate any address for home buyers and renters. Get nearby schools, transit, grocery stores, parks, restaurants, and walkability using Camino AI's location...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/real-estate.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.2.0
Provenance
- Publisher
- James-southendsolutions
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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. # 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: 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: 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: { "env": { "CAMINO_API_KEY": "your-api-key-here" } } Restart Claude Code.
Via Shell Script
# 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
# 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
ParameterTypeRequiredDefaultDescriptionaddressstringNo*-Street address to evaluate (geocoded automatically)locationobjectNo*-Coordinate with lat/lon to evaluateradiusintNo1000Search radius in meters around the location *Either address or location is required.
Response Format
{ "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..." }
Evaluate a suburban address
./scripts/real-estate.sh '{"address": "123 Oak Street, Palo Alto, CA", "radius": 1500}'
Evaluate an urban apartment
./scripts/real-estate.sh '{"location": {"lat": 40.7484, "lon": -73.9857}, "radius": 800}'
Evaluate a neighborhood by coordinates
./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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/real-estate.sh