A multi-city event discovery engine for finding concerts, cinema, and local happenings in Tel Aviv, Barcelona, and New York.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clawevents
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 clawevents using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
ClawEvents is a robust event discovery skill designed to aggregate and filter local happenings across three major global hubs: Tel Aviv, Barcelona, and New York. By leveraging various APIs and scrapers, it provides a unified interface to explore cultural activities ranging from jazz concerts and boutique cinema to family-friendly festivals.
As part of the Openclaw Skills ecosystem, it empowers AI agents to provide real-time, localized recommendations based on specific user preferences like age group, time of day, and budget. This skill ensures that users never miss out on the best local experiences, whether they are planning a trip or looking for something to do tonight.
To get started with this addition to your Openclaw Skills library, follow these steps:
Install dependencies:
cd skills/clawevents
pip3 install -r requirements.txt
Configure optional API keys in your environment (e.g., ~/.zshrc or ~/.bashrc) to unlock more data sources:
export TICKETMASTER_API_KEY="your_key"
export EVENTBRITE_TOKEN="your_token"
export TLV_API_KEY="your_key"
ClawEvents organizes data into a structured format containing event metadata and source information for consistent consumption across Openclaw Skills.
| Attribute | Description |
|---|---|
| Name | Display name of the event |
| City | Target location (tel-aviv, barcelona, new-york) |
| Type | Category (jazz, cinema, theatre, concert, etc.) |
| Age | Target demographic (kids, family, adults) |
| Time | Period (morning, afternoon, evening, late-night) |
| Source | Original platform (Eventbrite, Ticketmaster, NYC Open Data) |
| Format | Output can be toggled between human-readable text and structured JSON |
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