Trip Discover for Openclaw

An intelligent travel agent skill that recommends destinations based on vibe, budget, and group size using real-time data.

swayamg20
v1.0.0
Mar 1, 2026
0
916
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install trip-discover

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install trip-discover 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 Discover?

Trip Discover is a highly focused travel planning agent designed to provide specific, opinionated destination recommendations. Instead of generic lists, this skill leverages real-time web research and user memory to find the perfect match for a weekend getaway or a week-long vacation. As a key part of the Openclaw Skills ecosystem, it bridges the gap between searching and deciding by offering curated travel logistics, cost estimates, and seasonal advice.

Trip Discover Use Cases

  • Planning a weekend getaway based on a specific vibe like mountains or nightlife.
  • Comparing two specific destinations side-by-side to decide which fits the current budget and weather.
  • Retrieving destinations from a saved wishlist in memory to build an actionable itinerary.
  • Finding adventure or spiritual travel spots starting from a specific home city.

How Trip Discover Works

  1. The skill parses the user's message to extract critical parameters such as vibe, budget, duration, and group size.
  2. It performs a targeted web search to find current destination data, including weather conditions and travel costs.
  3. The system checks the agent's memory for any previously saved destinations or user preferences to personalize the results.
  4. It selects a maximum of three destinations, leading with a top 'opinionated' pick that explains why it suits the user.
  5. Each recommendation is delivered with travel times, transportation costs, and a total per-person budget estimate.

Trip Discover Setup

To integrate this into your workflow, you can add it via the command line interface common to Openclaw Skills:

openclaw install trip-discover

You can also configure your default origin city to ensure more accurate travel time estimates:

openclaw config set home_city "New York"

Trip Discover Data Schema & Taxonomy

The skill organizes travel data into the following schema to ensure consistency across recommendations:

Attribute Description Data Type
Vibe Category of travel (e.g., heritage, offbeat, party) String
Budget Total estimated cost per person Number
Duration Trip length (weekend, long weekend, or week) String
Saved Places Destinations stored in long-term memory Array
Group Type Solo, couple, friends, or family String

Trip Discover Advanced Features

  • Memory-first planning that prioritizes your saved wishlist before searching for new locations.
  • Comparison engine logic that provides a side-by-side breakdown of vibe, cost, and travel time for two competing destinations.
  • Dynamic cost estimation that adjusts based on travel duration and the user's specified budget range.
  • Real-time weather filtering to ensure recommendations are seasonally appropriate for the intended travel dates.

SKILL.md


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