An intelligent travel planning agent that generates detailed, time-stamped itineraries based on destinations, budgets, and existing travel bookings.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trip-plan
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install trip-plan using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Trip Plan AI Agent Skill?
The Trip Plan skill is a robust tool designed for Openclaw Skills that transforms vague travel ideas into professional, time-blocked itineraries. Unlike generic lists, this skill accounts for realistic travel durations, local dining spots, and specific logistical constraints. It enables AI agents to serve as personal travel consultants, synthesizing web-scraped data into actionable schedules that include everything from flight arrival times to granular budget breakdowns.
By leveraging this skill, users can automate the tedious process of coordinating transport, activities, and dining. It is specifically engineered to handle complex revisions, such as swapping entire days or adjusting for a tighter budget, without losing the context of the overall trip structure.
Trip Plan AI Agent Skill Use Cases
- Generating a complete day-wise schedule for a specific destination with real timings.
- Integrating existing flight or train arrival data into a seamless first-day plan.
- Adjusting an itinerary on-the-fly to reduce costs or add specific physical activities like treks.
- Planning group trips with categorized budget breakdowns for transport, food, and stays.
How Trip Plan AI Agent Skill Works
- The agent identifies the destination, travel dates, group size, and budget from the user conversation.
- It performs targeted web searches for current seasonal events, highly-rated restaurants, and local transport logistics.
- A chronological itinerary is constructed, starting from the user's actual arrival time (e.g., landing at the airport) rather than a generic morning start.
- Realistic travel buffers are calculated between different activities to ensure the plan is physically possible.
- A final budget breakdown is generated to provide transparency on estimated costs per person.
Trip Plan AI Agent Skill Setup
To integrate this capability into your agent environment, install the skill using the following command:
openclaw skill add trip-plan
Ensure your agent has web-search capabilities enabled to allow the skill to fetch current local data and pricing.
Trip Plan AI Agent Skill Data Schema & Taxonomy
The Trip Plan skill organizes travel data into a structured format for easy parsing and readability:
| Attribute | Type | Description |
|---|---|---|
| Header | String | Includes Destination, Duration, and Date range |
| Daily Schedule | List | Chronological entries with specific AM/PM timestamps and emojis |
| Logistics | String | Details on transport modes (Taxi, Trek, Flight) and durations |
| Budget | Object | Cost breakdown for Transport, Stay, Food, and Activities |
| Revision Delta | String | A focused update showing only the modified sections of an itinerary |
Trip Plan AI Agent Skill Advanced Features
- Modular revision handling: Update only specific days or segments without regenerating the entire plan.
- Transport-aware scheduling: Automatically calculates travel time from airports or bus stands to hotels.
- Dynamic budget tiering: Switches between luxury, mid-range, and budget-friendly options based on user constraints.
- Context-aware arrival logic: Adjusts the Day 1 schedule based on precise arrival times for flights or trains.
SKILL.md
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