An intelligent travel agent skill that recommends destinations based on vibe, budget, and group size using real-time data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trip-discover
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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"
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 |
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