Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Travel Planner
Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization.
skill openclawclawhub Free
Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization.
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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/travel-planner.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 travel-planner Via clawhub: npx clawhub@latest install travel-planner # or: pnpm dlx clawhub@latest install travel-planner # or: bunx clawhub@latest install travel-planner
Travel Planner
Plan complete day trips, walking tours, and multi-stop itineraries with time budgets. Wraps the Camino AI journey endpoint with opinionated defaults for travel planning.
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 walking tour in Paris ./scripts/travel-planner.sh '{ "waypoints": [ {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"}, {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre Museum"} ], "constraints": {"transport": "foot", "time_budget": "4 hours"} }' # Plan a driving day trip ./scripts/travel-planner.sh '{ "waypoints": [ {"lat": 34.0195, "lon": -118.4912, "purpose": "Santa Monica Pier"}, {"lat": 34.0259, "lon": -118.7798, "purpose": "Malibu Beach"}, {"lat": 34.0922, "lon": -118.3287, "purpose": "Hollywood Sign viewpoint"} ], "constraints": {"transport": "car", "time_budget": "6 hours"} }' # Simple two-stop trip ./scripts/travel-planner.sh '{ "waypoints": [ {"lat": 40.7484, "lon": -73.9857, "purpose": "Empire State Building"}, {"lat": 40.7614, "lon": -73.9776, "purpose": "MoMA"} ] }'
Via curl
curl -X POST -H "X-API-Key: $CAMINO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "waypoints": [ {"lat": 48.8584, "lon": 2.2945, "purpose": "Eiffel Tower"}, {"lat": 48.8606, "lon": 2.3376, "purpose": "Louvre"} ], "constraints": {"transport": "foot", "time_budget": "4 hours"} }' \ "https://api.getcamino.ai/journey"
Parameters
FieldTypeRequiredDefaultDescriptionwaypointsarrayYes-List of stops with lat, lon, and purpose (min 2)constraintsobjectNo-Trip constraintsconstraints.transportstringNo"walking"Transport mode: "walking", "car", or "bike"constraints.time_budgetstringNo-Time limit (e.g., "4 hours", "90 minutes")constraints.preferencesarrayNo[]Route preferences
Waypoint Object
FieldTypeRequiredDescriptionlatfloatYesLatitude of the stoplonfloatYesLongitude of the stoppurposestringNoDescription of the stop (e.g., "Eiffel Tower", "lunch break")
Response Format
{ "feasible": true, "total_distance_km": 6.8, "total_time_minutes": 85, "total_time_formatted": "1 hour 25 minutes", "transport_mode": "foot", "route_segments": [ { "from": "Eiffel Tower", "to": "Louvre Museum", "distance_km": 3.4, "duration_minutes": 42 }, { "from": "Louvre Museum", "to": "Notre-Dame", "distance_km": 3.4, "duration_minutes": 43 } ], "analysis": { "summary": "This walking tour is feasible within your 4-hour time budget...", "optimization_opportunities": ["Consider starting at the Louvre to reduce backtracking"] } }
Paris walking tour
./scripts/travel-planner.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 Cathedral"}, {"lat": 48.8867, "lon": 2.3431, "purpose": "Sacre-Coeur"} ], "constraints": { "transport": "foot", "time_budget": "6 hours" } }'
NYC cycling tour
./scripts/travel-planner.sh '{ "waypoints": [ {"lat": 40.7128, "lon": -74.0060, "purpose": "Start at Battery Park"}, {"lat": 40.6892, "lon": -74.0445, "purpose": "Statue of Liberty viewpoint"}, {"lat": 40.7061, "lon": -73.9969, "purpose": "Brooklyn Bridge"}, {"lat": 40.7580, "lon": -73.9855, "purpose": "Times Square"} ], "constraints": { "transport": "bike", "time_budget": "3 hours" } }'
Business meeting circuit
./scripts/travel-planner.sh '{ "waypoints": [ {"lat": 37.7749, "lon": -122.4194, "purpose": "Office downtown"}, {"lat": 37.7849, "lon": -122.4094, "purpose": "Client meeting"}, {"lat": 37.7900, "lon": -122.4000, "purpose": "Lunch"}, {"lat": 37.7749, "lon": -122.4194, "purpose": "Return to office"} ], "constraints": { "transport": "car", "time_budget": "2 hours" } }'
Best Practices
Always include a purpose for each waypoint to get better route analysis Set a time_budget to get feasibility checks and optimization suggestions Use "foot" transport for city walking tours, "bike" for cycling tours, "car" for road trips Order waypoints in your preferred visiting sequence; the API will check feasibility Combine with the query skill to discover points of interest to add as waypoints Combine with the hotel-finder skill to find accommodation near your first or last waypoint Combine with the context skill to learn more about each waypoint's neighborhood For longer trips, break the itinerary into manageable day segments
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/travel-planner.sh