{ "schemaVersion": "1.0", "item": { "slug": "camino-travel-planner", "name": "Travel Planner", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/James-southendsolutions/camino-travel-planner", "canonicalUrl": "https://clawhub.ai/James-southendsolutions/camino-travel-planner", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/camino-travel-planner", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=camino-travel-planner", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "scripts/travel-planner.sh" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-30T16:55:25.780Z", "expiresAt": "2026-05-07T16:55:25.780Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network", "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/camino-travel-planner" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/camino-travel-planner", "agentPageUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent", "manifestUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent.json", "briefUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "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." ], "prompts": [ { "label": "New install", "body": "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." }, { "label": "Upgrade existing", "body": "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." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Installation", "body": "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.\n\n# Install all skills from repo\nnpx skills add https://github.com/barneyjm/camino-skills\n\n# Or install specific skills\nnpx skills add https://github.com/barneyjm/camino-skills --skill travel-planner\n\nVia clawhub:\n\nnpx clawhub@latest install travel-planner\n# or: pnpm dlx clawhub@latest install travel-planner\n# or: bunx clawhub@latest install travel-planner" }, { "title": "Travel Planner", "body": "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." }, { "title": "Setup", "body": "Instant Trial (no signup required): Get a temporary API key with 25 calls:\n\ncurl -s -X POST -H \"Content-Type: application/json\" \\\n -d '{\"email\": \"you@example.com\"}' \\\n https://api.getcamino.ai/trial/start\n\nReturns: {\"api_key\": \"camino-xxx...\", \"calls_remaining\": 25, ...}\n\nFor 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.\n\nAdd your key to Claude Code:\n\nAdd to your ~/.claude/settings.json:\n\n{\n \"env\": {\n \"CAMINO_API_KEY\": \"your-api-key-here\"\n }\n}\n\nRestart Claude Code." }, { "title": "Via Shell Script", "body": "# Plan a walking tour in Paris\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre Museum\"}\n ],\n \"constraints\": {\"transport\": \"foot\", \"time_budget\": \"4 hours\"}\n}'\n\n# Plan a driving day trip\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 34.0195, \"lon\": -118.4912, \"purpose\": \"Santa Monica Pier\"},\n {\"lat\": 34.0259, \"lon\": -118.7798, \"purpose\": \"Malibu Beach\"},\n {\"lat\": 34.0922, \"lon\": -118.3287, \"purpose\": \"Hollywood Sign viewpoint\"}\n ],\n \"constraints\": {\"transport\": \"car\", \"time_budget\": \"6 hours\"}\n}'\n\n# Simple two-stop trip\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 40.7484, \"lon\": -73.9857, \"purpose\": \"Empire State Building\"},\n {\"lat\": 40.7614, \"lon\": -73.9776, \"purpose\": \"MoMA\"}\n ]\n}'" }, { "title": "Via curl", "body": "curl -X POST -H \"X-API-Key: $CAMINO_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre\"}\n ],\n \"constraints\": {\"transport\": \"foot\", \"time_budget\": \"4 hours\"}\n }' \\\n \"https://api.getcamino.ai/journey\"" }, { "title": "Parameters", "body": "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" }, { "title": "Waypoint Object", "body": "FieldTypeRequiredDescriptionlatfloatYesLatitude of the stoplonfloatYesLongitude of the stoppurposestringNoDescription of the stop (e.g., \"Eiffel Tower\", \"lunch break\")" }, { "title": "Response Format", "body": "{\n \"feasible\": true,\n \"total_distance_km\": 6.8,\n \"total_time_minutes\": 85,\n \"total_time_formatted\": \"1 hour 25 minutes\",\n \"transport_mode\": \"foot\",\n \"route_segments\": [\n {\n \"from\": \"Eiffel Tower\",\n \"to\": \"Louvre Museum\",\n \"distance_km\": 3.4,\n \"duration_minutes\": 42\n },\n {\n \"from\": \"Louvre Museum\",\n \"to\": \"Notre-Dame\",\n \"distance_km\": 3.4,\n \"duration_minutes\": 43\n }\n ],\n \"analysis\": {\n \"summary\": \"This walking tour is feasible within your 4-hour time budget...\",\n \"optimization_opportunities\": [\"Consider starting at the Louvre to reduce backtracking\"]\n }\n}" }, { "title": "Paris walking tour", "body": "./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre Museum\"},\n {\"lat\": 48.8530, \"lon\": 2.3499, \"purpose\": \"Notre-Dame Cathedral\"},\n {\"lat\": 48.8867, \"lon\": 2.3431, \"purpose\": \"Sacre-Coeur\"}\n ],\n \"constraints\": {\n \"transport\": \"foot\",\n \"time_budget\": \"6 hours\"\n }\n}'" }, { "title": "NYC cycling tour", "body": "./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 40.7128, \"lon\": -74.0060, \"purpose\": \"Start at Battery Park\"},\n {\"lat\": 40.6892, \"lon\": -74.0445, \"purpose\": \"Statue of Liberty viewpoint\"},\n {\"lat\": 40.7061, \"lon\": -73.9969, \"purpose\": \"Brooklyn Bridge\"},\n {\"lat\": 40.7580, \"lon\": -73.9855, \"purpose\": \"Times Square\"}\n ],\n \"constraints\": {\n \"transport\": \"bike\",\n \"time_budget\": \"3 hours\"\n }\n}'" }, { "title": "Business meeting circuit", "body": "./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 37.7749, \"lon\": -122.4194, \"purpose\": \"Office downtown\"},\n {\"lat\": 37.7849, \"lon\": -122.4094, \"purpose\": \"Client meeting\"},\n {\"lat\": 37.7900, \"lon\": -122.4000, \"purpose\": \"Lunch\"},\n {\"lat\": 37.7749, \"lon\": -122.4194, \"purpose\": \"Return to office\"}\n ],\n \"constraints\": {\n \"transport\": \"car\",\n \"time_budget\": \"2 hours\"\n }\n}'" }, { "title": "Best Practices", "body": "Always include a purpose for each waypoint to get better route analysis\nSet a time_budget to get feasibility checks and optimization suggestions\nUse \"foot\" transport for city walking tours, \"bike\" for cycling tours, \"car\" for road trips\nOrder waypoints in your preferred visiting sequence; the API will check feasibility\nCombine with the query skill to discover points of interest to add as waypoints\nCombine with the hotel-finder skill to find accommodation near your first or last waypoint\nCombine with the context skill to learn more about each waypoint's neighborhood\nFor longer trips, break the itinerary into manageable day segments" } ], "body": "Installation\n\nCompanion 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.\n\n# Install all skills from repo\nnpx skills add https://github.com/barneyjm/camino-skills\n\n# Or install specific skills\nnpx skills add https://github.com/barneyjm/camino-skills --skill travel-planner\n\n\nVia clawhub:\n\nnpx clawhub@latest install travel-planner\n# or: pnpm dlx clawhub@latest install travel-planner\n# or: bunx clawhub@latest install travel-planner\n\nTravel Planner\n\nPlan complete day trips, walking tours, and multi-stop itineraries with time budgets. Wraps the Camino AI journey endpoint with opinionated defaults for travel planning.\n\nSetup\n\nInstant Trial (no signup required): Get a temporary API key with 25 calls:\n\ncurl -s -X POST -H \"Content-Type: application/json\" \\\n -d '{\"email\": \"you@example.com\"}' \\\n https://api.getcamino.ai/trial/start\n\n\nReturns: {\"api_key\": \"camino-xxx...\", \"calls_remaining\": 25, ...}\n\nFor 1,000 free calls/month, sign up at https://app.getcamino.ai/skills/activate.\n\nAdd your key to Claude Code:\n\nAdd to your ~/.claude/settings.json:\n\n{\n \"env\": {\n \"CAMINO_API_KEY\": \"your-api-key-here\"\n }\n}\n\n\nRestart Claude Code.\n\nUsage\nVia Shell Script\n# Plan a walking tour in Paris\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre Museum\"}\n ],\n \"constraints\": {\"transport\": \"foot\", \"time_budget\": \"4 hours\"}\n}'\n\n# Plan a driving day trip\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 34.0195, \"lon\": -118.4912, \"purpose\": \"Santa Monica Pier\"},\n {\"lat\": 34.0259, \"lon\": -118.7798, \"purpose\": \"Malibu Beach\"},\n {\"lat\": 34.0922, \"lon\": -118.3287, \"purpose\": \"Hollywood Sign viewpoint\"}\n ],\n \"constraints\": {\"transport\": \"car\", \"time_budget\": \"6 hours\"}\n}'\n\n# Simple two-stop trip\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 40.7484, \"lon\": -73.9857, \"purpose\": \"Empire State Building\"},\n {\"lat\": 40.7614, \"lon\": -73.9776, \"purpose\": \"MoMA\"}\n ]\n}'\n\nVia curl\ncurl -X POST -H \"X-API-Key: $CAMINO_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre\"}\n ],\n \"constraints\": {\"transport\": \"foot\", \"time_budget\": \"4 hours\"}\n }' \\\n \"https://api.getcamino.ai/journey\"\n\nParameters\nField\tType\tRequired\tDefault\tDescription\nwaypoints\tarray\tYes\t-\tList of stops with lat, lon, and purpose (min 2)\nconstraints\tobject\tNo\t-\tTrip constraints\nconstraints.transport\tstring\tNo\t\"walking\"\tTransport mode: \"walking\", \"car\", or \"bike\"\nconstraints.time_budget\tstring\tNo\t-\tTime limit (e.g., \"4 hours\", \"90 minutes\")\nconstraints.preferences\tarray\tNo\t[]\tRoute preferences\nWaypoint Object\nField\tType\tRequired\tDescription\nlat\tfloat\tYes\tLatitude of the stop\nlon\tfloat\tYes\tLongitude of the stop\npurpose\tstring\tNo\tDescription of the stop (e.g., \"Eiffel Tower\", \"lunch break\")\nResponse Format\n{\n \"feasible\": true,\n \"total_distance_km\": 6.8,\n \"total_time_minutes\": 85,\n \"total_time_formatted\": \"1 hour 25 minutes\",\n \"transport_mode\": \"foot\",\n \"route_segments\": [\n {\n \"from\": \"Eiffel Tower\",\n \"to\": \"Louvre Museum\",\n \"distance_km\": 3.4,\n \"duration_minutes\": 42\n },\n {\n \"from\": \"Louvre Museum\",\n \"to\": \"Notre-Dame\",\n \"distance_km\": 3.4,\n \"duration_minutes\": 43\n }\n ],\n \"analysis\": {\n \"summary\": \"This walking tour is feasible within your 4-hour time budget...\",\n \"optimization_opportunities\": [\"Consider starting at the Louvre to reduce backtracking\"]\n }\n}\n\nExamples\nParis walking tour\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 48.8584, \"lon\": 2.2945, \"purpose\": \"Eiffel Tower\"},\n {\"lat\": 48.8606, \"lon\": 2.3376, \"purpose\": \"Louvre Museum\"},\n {\"lat\": 48.8530, \"lon\": 2.3499, \"purpose\": \"Notre-Dame Cathedral\"},\n {\"lat\": 48.8867, \"lon\": 2.3431, \"purpose\": \"Sacre-Coeur\"}\n ],\n \"constraints\": {\n \"transport\": \"foot\",\n \"time_budget\": \"6 hours\"\n }\n}'\n\nNYC cycling tour\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 40.7128, \"lon\": -74.0060, \"purpose\": \"Start at Battery Park\"},\n {\"lat\": 40.6892, \"lon\": -74.0445, \"purpose\": \"Statue of Liberty viewpoint\"},\n {\"lat\": 40.7061, \"lon\": -73.9969, \"purpose\": \"Brooklyn Bridge\"},\n {\"lat\": 40.7580, \"lon\": -73.9855, \"purpose\": \"Times Square\"}\n ],\n \"constraints\": {\n \"transport\": \"bike\",\n \"time_budget\": \"3 hours\"\n }\n}'\n\nBusiness meeting circuit\n./scripts/travel-planner.sh '{\n \"waypoints\": [\n {\"lat\": 37.7749, \"lon\": -122.4194, \"purpose\": \"Office downtown\"},\n {\"lat\": 37.7849, \"lon\": -122.4094, \"purpose\": \"Client meeting\"},\n {\"lat\": 37.7900, \"lon\": -122.4000, \"purpose\": \"Lunch\"},\n {\"lat\": 37.7749, \"lon\": -122.4194, \"purpose\": \"Return to office\"}\n ],\n \"constraints\": {\n \"transport\": \"car\",\n \"time_budget\": \"2 hours\"\n }\n}'\n\nBest Practices\nAlways include a purpose for each waypoint to get better route analysis\nSet a time_budget to get feasibility checks and optimization suggestions\nUse \"foot\" transport for city walking tours, \"bike\" for cycling tours, \"car\" for road trips\nOrder waypoints in your preferred visiting sequence; the API will check feasibility\nCombine with the query skill to discover points of interest to add as waypoints\nCombine with the hotel-finder skill to find accommodation near your first or last waypoint\nCombine with the context skill to learn more about each waypoint's neighborhood\nFor longer trips, break the itinerary into manageable day segments" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/James-southendsolutions/camino-travel-planner", "publisherUrl": "https://clawhub.ai/James-southendsolutions/camino-travel-planner", "owner": "James-southendsolutions", "version": "0.2.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/camino-travel-planner", "downloadUrl": "https://openagent3.xyz/downloads/camino-travel-planner", "agentUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent", "manifestUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent.json", "briefUrl": "https://openagent3.xyz/skills/camino-travel-planner/agent.md" } }