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camino-travel-planner卡米诺旅行计划

Agent Skill

camino-travel-planner 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

25,560

周安装

1,065

GitHub Stars

3

下载量

8,520
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:camino-travel-planner(卡米诺旅行计划)
来源仓库:https://github.com/james-southendsolutions/camino-travel-planner
安装命令:
openclaw skills install camino-travel-planner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install camino-travel-planner

简介

使用 Camino AI 的旅程规划和路线优化,根据时间预算规划完整的一日游、徒步旅行和多站行程。

SKILL.md

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"],"binaries":["curl","jq"]},"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.

# 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.

Usage

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

FieldTypeRequiredDefaultDescription
waypointsarrayYes-List of stops with lat, lon, and purpose (min 2)
constraintsobjectNo-Trip constraints
constraints.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

FieldTypeRequiredDescription
latfloatYesLatitude of the stop
lonfloatYesLongitude of the stop
purposestringNoDescription 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"]
  }
}

Examples

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

适合场景

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02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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按下载量换算7,743

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可疑

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通过

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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