Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Journey Planning with Waypoints
Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops...
skill openclawclawhub Free
Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints. Use when you need to plan trips with multiple stops...
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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/journey.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 journey Via clawhub: npx clawhub@latest install journey # or: pnpm dlx clawhub@latest install journey # or: bunx clawhub@latest install journey
Journey - Multi-Stop Planning
Plan multi-waypoint journeys with route optimization, feasibility analysis, and time budget constraints.
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
# Plan a simple journey ./scripts/journey.sh '{ "waypoints": [ {"lat": 40.7128, "lon": -74.0060, "purpose": "Start at hotel"}, {"lat": 40.7484, "lon": -73.9857, "purpose": "Visit Empire State Building"}, {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch in Midtown"} ] }' # With transport mode and time budget ./scripts/journey.sh '{ "waypoints": [ {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"}, {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"}, {"lat": 40.7614, "lon": -73.9776, "purpose": "MoMA"} ], "constraints": { "transport": "foot", "time_budget": "3 hours" } }'
Via curl
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "waypoints": [ {"lat": 40.7128, "lon": -74.0060, "purpose": "Start"}, {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State"} ], "constraints": {"transport": "foot"} }' \ "https://api.getcamino.ai/journey"
Parameters
FieldTypeRequiredDefaultDescriptionwaypointsarrayYes-List of waypoints with lat, lon, and purpose (min 2)constraints.transportstringNo"walking"Transport mode: "walking", "car", or "bike"constraints.time_budgetstringNo-Time constraint (e.g., "2 hours", "90 minutes")constraints.preferencesarrayNo[]Route preferences
Waypoint Object
FieldTypeRequiredDescriptionlatfloatYesLatitude of the waypointlonfloatYesLongitude of the waypointpurposestringNoDescription of why you're visiting this waypoint
Response Format
{ "feasible": true, "total_distance_km": 4.2, "total_time_minutes": 52, "total_time_formatted": "52 minutes", "transport_mode": "foot", "route_segments": [ { "from": "Start", "to": "Empire State", "distance_km": 4.2, "duration_minutes": 52 } ], "analysis": { "summary": "This walking journey is feasible...", "optimization_opportunities": [] } }
Day trip planning
./scripts/journey.sh '{ "waypoints": [ {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"}, {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum"}, {"lat": 48.8530, "lon": 2.3499, "purpose": "Notre-Dame"}, {"lat": 48.8867, "lon": 2.3431, "purpose": "Sacrรฉ-Cลur"} ], "constraints": { "transport": "foot", "time_budget": "6 hours" } }'
Business meeting route
./scripts/journey.sh '{ "waypoints": [ {"lat": 40.7128, "lon": -74.0060, "purpose": "Office"}, {"lat": 40.7580, "lon": -73.9855, "purpose": "Client meeting"}, {"lat": 40.7614, "lon": -73.9776, "purpose": "Lunch"}, {"lat": 40.7128, "lon": -74.0060, "purpose": "Return to office"} ], "constraints": { "transport": "car", "time_budget": "2 hours" } }'
Cycling tour
./scripts/journey.sh '{ "waypoints": [ {"lat": 37.7749, "lon": -122.4194, "purpose": "Start downtown SF"}, {"lat": 37.8199, "lon": -122.4783, "purpose": "Golden Gate Bridge"}, {"lat": 37.8270, "lon": -122.4230, "purpose": "Sausalito"} ], "constraints": { "transport": "bike" } }'
Use Cases
Trip itinerary validation: Check if a planned itinerary is feasible within time constraints Route optimization: Get suggestions for optimizing multi-stop journeys Travel time estimation: Understand total journey time across multiple destinations Tour planning: Plan walking tours, cycling routes, or driving trips
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/journey.sh