Let's Go Now! (go-now) for Openclaw

A proactive AI travel partner that converts vague wanderlust into concrete, booked itineraries with localized visual plans.

bradleo
v1.0.0
Apr 2, 2026
0
566
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install go-now

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 go-now 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 Let's Go Now! (go-now)?

Go Now is a specialized travel agent designed to live within the ecosystem of Openclaw Skills. Unlike traditional search engines, it acts as a human-centric companion that understands the emotional and psychological barriers to traveling. It is engineered to guide users from a state of vague interest—such as feeling stressed or wanting a weekend change—to a state of action where flights and hotels are booked. By bridging the gap between desire and execution, it ensures that procrastination never steals a beautiful travel experience.

Built to integrate seamlessly with the FlyAI protocol, this skill provides a high-touch, conversational experience. It doesn't just list coordinates; it finds the place that fits the user's current mood, energy levels, and constraints, providing a personalized journey rather than just a destination.

Let's Go Now! (go-now) Use Cases

  • Planning spontaneous weekend trips when you feel burnt out but don't know where to go.
  • Overcoming decision paralysis for users who struggle with comparing endless travel options.
  • Generating visualized, scrapbook-style itineraries for group trips or solo adventures.
  • Finding immediate travel escapes based on current emotional needs like 'healing' or 'socializing'.

How Let's Go Now! (go-now) Works

  1. The agent automatically detects the user's departure city using IP geolocation APIs or direct user input.
  2. It initiates an adaptive dialogue to uncover core needs, including emotional state, time windows, companion details, and budget sentiment.
  3. Utilizing the FlyAI skill, it performs broad keyword searches followed by specific flight, hotel, and point-of-interest comparisons.
  4. It applies customized 'push' strategies based on the user's detected personality type (e.g., providing data for rational types or visualization for emotional types).
  5. It generates a bespoke, visualized HTML travel map in a scrapbook style, incorporating personal elements like nicknames and specific travel icons.

Let's Go Now! (go-now) Setup

To get started with Go Now in your Openclaw Skills environment, ensure you have the FlyAI dependency configured. You can test your local environment's IP detection capability with the following command:

curl -s https://ipinfo.io/json | cat

Once the environment is ready, simply trigger the skill by expressing a travel-related intent such as 'I want to go somewhere this weekend.'

Let's Go Now! (go-now) Data Schema & Taxonomy

The skill organizes travel data and user preferences into a structured format for both processing and visualization:

Data Category Details
Contextual Data Departure city (via IP or input), Current mood, Budget sentiment
Travel Assets Real-time flight prices, Hotel availability, POI metadata from FlyAI
Personalization User nickname, Avatar URL, Companion names, Transportation preference
Output File A self-contained HTML file saved as ~/Desktop/go-now-{destination}-{date}.html

Let's Go Now! (go-now) Advanced Features

  • Personality-Adaptive Logic: Tailors the persuasion style (Rational, Emotional, or Decisive) to help users overcome specific booking obstacles.
  • Visual Scrapbook Engine: Uses pure CSS and SVG to generate professional-grade, shareable travel maps without external dependencies.
  • Multi-Source Geolocation: Features a fallback mechanism across multiple IP-API providers to ensure departure city accuracy.
  • Behavioral Nudging: Breaks down complex itineraries into 'Minimum Actionable Steps' to reduce decision-making friction.

SKILL.md


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