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Travel Planner

作者 James-southendsolutions · GitHub ↗ · v0.2.0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install camino-travel-planner
功能描述
Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization.
使用说明 (SKILL.md)

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": "[email protected]"}' \
  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

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

{
  "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
安全使用建议
This skill appears coherent and minimal: it sends your waypoint JSON and your CAMINO_API_KEY to https://api.getcamino.ai/journey. Before installing or running: (1) obtain your API key from the official Camino site and treat it like any API secret (don’t paste it into untrusted places); (2) review the GitHub repo referenced by the install commands before running npx to ensure you trust its source; (3) if you want tighter safety, create a Camino key with minimal scope or a usage-limited/trial key; (4) verify that curl and jq are up-to-date on your machine. If you see any unexpected network endpoints or additional required env vars in future versions, stop and re-check the files.
功能分析
Type: OpenClaw Skill Name: camino-travel-planner Version: 0.2.0 The skill is classified as suspicious due to several risky capabilities. The `SKILL.md` explicitly instructs the AI agent to install 'companion skills' from an external GitHub repository (`https://github.com/barneyjm/camino-skills`) using `npx skills add`. This introduces a supply chain risk, as the agent would be executing code from an external, potentially untrusted source beyond the scope of the current skill. Additionally, the `SKILL.md` provides a `curl` command to obtain a trial API key, which transmits the user's email address to `https://api.getcamino.ai/trial/start`. While for a stated purpose, this is an outbound data transmission. The `scripts/travel-planner.sh` script also uses `curl` to send user-controlled JSON input (validated by `jq empty`) along with the `CAMINO_API_KEY` to an external API endpoint, a pattern that always warrants scrutiny for potential injection vulnerabilities, even if quoted.
能力评估
Purpose & Capability
Name/description (travel planning) matches what the skill does: it posts user-provided waypoint JSON to Camino's /journey endpoint. The only required credential is CAMINO_API_KEY, which is appropriate for that API. Declared binaries (curl, jq) are used by the included script.
Instruction Scope
SKILL.md and the shell script only validate JSON, require at least two waypoints, and send the JSON to https://api.getcamino.ai/journey. Instructions to obtain a trial key and to add CAMINO_API_KEY to ~/.claude/settings.json are within scope. There are no instructions to read unrelated files, access other env vars, or transmit data to unexpected endpoints.
Install Mechanism
This is instruction-only with a small included shell script; there is no automatic download-from-URL or opaque binary install in the skill itself. SKILL.md suggests using npx to add a GitHub-hosted skills repo (user-run action) — advise reviewing that repo before running, but the skill's own files are simple and transparent.
Credentials
Only CAMINO_API_KEY is required and is the declared primary credential. No other secrets, unrelated credentials, or config paths are requested. The script uses that key only to call the Camino API.
Persistence & Privilege
Skill is not always-enabled and does not request elevated or persistent system privileges. It does not modify other skills or system-wide configs beyond the guidance to add the API key to the user's Claude settings (a normal per-user config step).
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install camino-travel-planner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /camino-travel-planner 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.2.0
- Added curl and jq as required binaries in the skill metadata. - No other user-visible changes.
v0.1.0
Initial release: Plan trips and optimize multi-stop itineraries with Camino AI. - Enables planning of day trips, walking tours, and multi-stop routes with time budgets. - Supports transport modes: walking, bike, or car with route feasibility analysis. - Provides example usage via shell scripts and curl, plus clear setup instructions. - Returns detailed route segments, total distance/time, and optimization suggestions. - Designed to integrate with other Camino location skills for comprehensive travel planning.
元数据
Slug camino-travel-planner
版本 0.2.0
许可证
累计安装 2
当前安装数 1
历史版本数 2
常见问题

Travel Planner 是什么?

Plan complete day trips, walking tours, and multi-stop itineraries with time budgets using Camino AI's journey planning and route optimization. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 816 次。

如何安装 Travel Planner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install camino-travel-planner」即可一键安装,无需额外配置。

Travel Planner 是免费的吗?

是的,Travel Planner 完全免费(开源免费),可自由下载、安装和使用。

Travel Planner 支持哪些平台?

Travel Planner 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Travel Planner?

由 James-southendsolutions(@james-southendsolutions)开发并维护,当前版本 v0.2.0。

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