A historical mapping tool to explore the legacy of entertainment, nightlife, and cultural venues in Tel Aviv and Haifa.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install timemap
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 timemap using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Timemap is a powerful CLI wrapper for the community-curated database timemap.co.il, specifically designed for Openclaw Skills users to explore the rich urban history of Tel Aviv-Yafo and Haifa. It provides a technical interface to a non-profit project that maps the evolution of bars, cafes, clubs, cinemas, and performance spaces across decades.
This skill serves as a bridge for developers and researchers to access structured historical data, including opening and closing dates, bilingual names, and community memories. By integrating this into Openclaw Skills, users can programmatically query the cultural landscape of Israel's major cities, making it an invaluable resource for urban researchers and history enthusiasts alike.
Navigate to your local repository and use the following commands:
# Search for a venue by name
python3 scripts/timemap.py search "Barby"
# List all available tags and categories
python3 scripts/timemap.py tags
# Get database statistics
python3 scripts/timemap.py stats
The skill organizes its output into a structured schema, particularly when using the agent-friendly JSON flag. Data includes:
| Attribute | Description |
|---|---|
id |
Unique venue identifier |
name |
Bilingual venue name (Hebrew/English) |
location |
Address and geographic coordinates (Lat/Lng) |
timeline |
Opening year, closing year, and activity status |
tags |
Category labels (e.g., bar, cafe, club, cinema, lgbtq) |
memories |
Array of community-submitted stories and photo metadata |
stats |
High-level metrics including counts by city, decade, and tag |
--json flag, optimized for seamless integration with AI agents and Openclaw Skills workflows.nearby) allowing for precise location-based historical discovery.--fresh flag to bypass local storage and retrieve the latest community updates.NO_COLOR environment variable for clean terminal logging.Loading
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