Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Geospacial relationship between two locations
Calculate spatial relationships between two points including distance, direction, travel time, and human-readable descriptions. Use when you need to understa...
skill openclawclawhub Free
Calculate spatial relationships between two points including distance, direction, travel time, and human-readable descriptions. Use when you need to understa...
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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/relationship.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
- 0.1.0
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 relationship Via clawhub: npx clawhub@latest install relationship # or: pnpm dlx clawhub@latest install relationship # or: bunx clawhub@latest install relationship
Relationship - Spatial Calculations
Calculate distance, direction, travel time, and human-readable descriptions between two points.
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
# Calculate relationship between two points ./scripts/relationship.sh '{ "start": {"lat": 40.7128, "lon": -74.0060}, "end": {"lat": 40.7589, "lon": -73.9851} }' # Include specific calculations ./scripts/relationship.sh '{ "start": {"lat": 40.7128, "lon": -74.0060}, "end": {"lat": 40.7589, "lon": -73.9851}, "include": ["distance", "direction", "travel_time", "description"] }'
Via curl
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \ -H "Content-Type: application/json" \ -d '{"start": {"lat": 40.7128, "lon": -74.0060}, "end": {"lat": 40.7589, "lon": -73.9851}}' \ "https://api.getcamino.ai/relationship"
Parameters
FieldTypeRequiredDescriptionstartobjectYesStarting point with lat/lonendobjectYesEnding point with lat/lonincludearrayNoWhat to include: distance, direction, travel_time, description
Response Format
{ "distance": { "meters": 5420, "kilometers": 5.42, "miles": 3.37 }, "direction": { "bearing": 42, "cardinal": "NE", "description": "northeast" }, "travel_time": { "walking_minutes": 68, "driving_minutes": 15, "cycling_minutes": 22 }, "description": "5.4 km northeast, about 15 minutes by car" }
Simple distance check
./scripts/relationship.sh '{ "start": {"lat": 51.5074, "lon": -0.1278}, "end": {"lat": 48.8566, "lon": 2.3522} }'
Get only distance and direction
./scripts/relationship.sh '{ "start": {"lat": 40.7128, "lon": -74.0060}, "end": {"lat": 40.7589, "lon": -73.9851}, "include": ["distance", "direction"] }'
Use Cases
Proximity checks: Determine if two locations are within a certain distance Direction guidance: Provide cardinal direction context (north, southeast, etc.) Travel planning: Estimate travel times for different transport modes Location context: Generate human-readable descriptions of spatial relationships
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/relationship.sh