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Agent Skill · 研究检索

camino-travel-planner(卡米诺旅行计划)

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。

camino-travel-planner 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,534。

总安装 25,560周安装 1,065GitHub Stars 3下载 8,520核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.2.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install camino-travel-planner;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

camino-travel-planner 怎么安装?

在终端执行 openclaw skills install camino-travel-planner。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

camino-travel-planner 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

camino-travel-planner 需要什么权限?

权限级别是接触敏感数据。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。

camino-travel-planner 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

camino-travel-planner 用的人多吗?

公开数据是累计安装 25,560 次,近一周安装 1,065 次,下载 8,520 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

camino-travel-planner 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
camino-travel-planner

卡米诺旅行计划 · 本页

25,5603接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

OpenClaw

90.88%
按下载量换算7,743

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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