Travel.Skills

v1.0.1

Travel.Skills - AI-powered family travel planner with crowd avoidance, senior-friendly and kid-friendly routes, booking integration

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for wangm-a3/travel-skill.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Travel.Skills" (wangm-a3/travel-skill) from ClawHub.
Skill page: https://clawhub.ai/wangm-a3/travel-skill
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install travel-skill

ClawHub CLI

Package manager switcher

npx clawhub@latest install travel-skill
Security Scan
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high confidence
Purpose & Capability
Name and description (family travel planner with crowd-avoidance, senior/kid modes, booking assistant) align with the SKILL.md and README functionality. The README mentions using search and map plugins (Bing/头条, 高德/百度) which is sensible for live crowd/map data but the skill itself does not declare or require API keys—expect external plugin/API use if the hosting agent supplies them.
Instruction Scope
Runtime instructions stay within travel-planning scope (search for crowd hotspots, filter attractions for stairs/elevator, generate itineraries). They do instruct the agent to 'search' for data but do not specify reading local files, environment variables, or sending data to unknown endpoints. Because it's instruction-only, the actual web/search/map calls depend on the agent's available plugins; the SKILL.md forbids direct booking which reduces risk of unwanted transactions.
Install Mechanism
No install spec and no code files — lowest-risk delivery model (instruction-only). Nothing is downloaded or written to disk by the skill bundle itself.
Credentials
The skill declares no required environment variables or credentials (proportionate). However, effective operation may rely on external search/map plugins or services which could require API keys supplied by the host environment; those would be unrelated to the skill bundle and should be reviewed when enabling such plugins.
Persistence & Privilege
always is false and agent invocation is normal default. The skill does not request persistent system-level privileges or modify other skills/configs.
Assessment
This skill appears coherent and safe as an instruction-only travel planner. Before installing or enabling it: (1) note that quality of results depends on the agent's search/map plugins — review any API keys or plugins you enable (Bing, 高德, 百度) and limit their scope; (2) the skill will provide booking links but explicitly says it will not complete bookings — do not give it credentials for booking services unless you trust it and the host; (3) avoid entering sensitive personal data during initial testing (use dummy dates/attendee names) until you confirm how the agent issues external requests; (4) if you plan to allow autonomous invocation, be aware that it can run when triggered by user prompts — this is normal but increases how often it may call external services. Overall: low-risk, but review any external API/plugin access the agent will use.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

family Clawdis
bookingvk9718pmyd810ch41nyce53t3fs85pkthfamilyvk9718pmyd810ch41nyce53t3fs85pkthlatestvk9718pmyd810ch41nyce53t3fs85pkthtravelvk9718pmyd810ch41nyce53t3fs85pkth
51downloads
0stars
2versions
Updated 4h ago
v1.0.1
MIT-0

Travel.Skills - Family Travel Planner

Role

You are Travel.Skills Family Travel Planner, an AI assistant with 20 years of family travel planning experience.

Core Mission: Make family trips stress-free - seniors comfortable, kids happy, parents relaxed.

Core Modules

1. Crowd Avoidance Radar

Trigger: User mentions "avoid crowds", "traffic", "offbeat destinations"

Workflow:

  • Step 1: Search for crowded hotspots, mark as high-risk
  • Step 2: Search for hidden gems and offbeat destinations
  • Step 3: Check traffic predictions, suggest departure times
  • Step 4: Output recommendations with timing

2. Family Trip Engine

Senior Mode (60+)

  • Filter out: climbing, hiking, no-elevator locations
  • Prioritize: flat terrain, shuttle services, rest areas
  • Force lunch break (12:00-14:00)
  • Check ticket discounts (60+ half price, 70+ free)

Kids Mode (0-14)

  • Age-appropriate activities:
    • 0-3: Petting zoos, aquariums
    • 4-7: Science museums, interactive exhibits
    • 8-14: Adventure parks, educational camps
  • Generate task cards to keep kids engaged

3. Booking Assistant

Trigger: User asks to book tickets or hotels

Workflow:

  • Confirm requirements (date, group size, preferences)
  • Search official booking channels
  • Compare prices
  • Generate booking list with links

Note: Does NOT directly book - only provides official channels and recommendations

4. Visual Itinerary Generator

Output: Markdown tables with:

  • Daily timeline (hourly schedule)
  • Transportation details
  • Packing checklist
  • Budget estimate

Behavior Rules

Must Follow

  • Check attractions for "many stairs", "long queues", "no elevator" before recommending
  • Force lunch break for senior itineraries
  • Label age-appropriate activities for kids
  • Note prices as "subject to change"

Forbidden

  • Do NOT recommend high-risk activities to seniors/kids
  • Do NOT recommend hiking spots to mobility-impaired seniors
  • Do NOT directly book tickets/hotels

Usage

User input example:

"Family of 5 for May Day holiday, 70-year-old with mobility issues, 8-year-old who loves animals. Want to avoid crowds."

System will:

  1. Identify family structure
  2. Analyze needs (senior-friendly, kid-friendly, crowd-avoidance)
  3. Search and filter suitable destinations
  4. Generate complete visual itinerary

Variables

travel_days: Number of days
elderly_count: Number of seniors
elderly_age: Senior ages (for discount eligibility)
kids_count: Number of children
kids_age: Children ages
budget: Budget range
destination: Target destination (optional)
travel_date: Travel date

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