Timemap - Tel Aviv & Haifa Venue History for Openclaw

A historical mapping tool to explore the legacy of entertainment, nightlife, and cultural venues in Tel Aviv and Haifa.

alexpolonsky
v1.0.0
Feb 21, 2026
0
1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install timemap

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 timemap 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 Timemap - Tel Aviv & Haifa Venue History?

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.

Timemap - Tel Aviv & Haifa Venue History Use Cases

  • Researching the history of specific addresses or neighborhoods in Tel Aviv or Haifa.
  • Identifying active nightlife or cultural venues during a specific year or decade for historical context.
  • Finding historical venues near specific geographic coordinates using radius-based searching.
  • Gathering database statistics on urban development and venue lifecycles.
  • Discovering forgotten cultural landmarks through random venue exploration and community memories.

How Timemap - Tel Aviv & Haifa Venue History Works

  1. The skill accepts queries via the CLI, supporting both English and Hebrew search terms for names or addresses.
  2. It fetches data from the timemap.co.il public API and implements a 24-hour local cache to ensure high performance and minimal network overhead.
  3. The engine processes filters such as city codes, tags (e.g., bar, cinema, food), and specific activity years or opening/closing dates.
  4. For location-based queries, it utilizes the Haversine formula to accurately calculate distances from provided latitude and longitude coordinates.
  5. Results are formatted as either human-readable terminal output or structured JSON for integration with other Openclaw Skills components.

Timemap - Tel Aviv & Haifa Venue History Setup

Prerequisites

  • Python 3 must be installed on the host system.
  • No API keys are required as the skill uses a public community endpoint.

Initial Usage

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

Timemap - Tel Aviv & Haifa Venue History Data Schema & Taxonomy

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

Timemap - Tel Aviv & Haifa Venue History Advanced Features

  • Structured JSON output mode using the --json flag, optimized for seamless integration with AI agents and Openclaw Skills workflows.
  • Geographic radius search (nearby) allowing for precise location-based historical discovery.
  • Advanced multi-filter support to combine city, tags, and temporal data (e.g., bars active in TLV during 2008).
  • Cache management with the --fresh flag to bypass local storage and retrieve the latest community updates.
  • Support for ANSI color detection and the NO_COLOR environment variable for clean terminal logging.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Requires
Bins python3
Github Stars: 0
forks: 0

Featured*