--- name: travel-planner description: "Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization." metadata: {"clawdbot":{"emoji":"✈️","requires":{"env":["CAMINO_API_KEY"]},"primaryEnv":"CAMINO_API_KEY"}} --- ## 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 travel-planner ``` **Via clawhub:** ```bash 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: ```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](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 # 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 ```bash 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 | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | waypoints | array | Yes | - | List of stops with lat, lon, and purpose (min 2) | | constraints | object | No | - | Trip constraints | | constraints.transport | string | No | "walking" | Transport mode: "walking", "car", or "bike" | | constraints.time_budget | string | No | - | Time limit (e.g., "4 hours", "90 minutes") | | constraints.preferences | array | No | [] | Route preferences | ### Waypoint Object | Field | Type | Required | Description | |-------|------|----------|-------------| | lat | float | Yes | Latitude of the stop | | lon | float | Yes | Longitude of the stop | | purpose | string | No | Description of the stop (e.g., "Eiffel Tower", "lunch break") | ## Response Format ```json { "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"] } } ``` ## Examples ### Paris walking tour ```bash ./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 ```bash ./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 ```bash ./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 --- Source attribution: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/barneyjm/travel-planner/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 clawdbot Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: kbarbel640-del Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/barneyjm/travel-planner/SKILL.md Attribution basis: Source repository record Fields of work: Marketing, Customer Support Roles: Content Marketer, Customer Experience Specialties: API Tools: Camino Api Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 3cd014365b463c66e29be4c918f3da8461a983b6c8518c3dfd5e214bbddde662