community-maps

Files (2)

• SKILL.md
• maps_client.py · scripts/

SKILL.md (first lines)

# Maps Skill

Location intelligence using free, open data sources. 8 commands, 44 POI
categories, zero dependencies (Python stdlib only), no API key required.

Data sources: OpenStreetMap/Nominatim, Overpass API, OSRM, TimeAPI.io.

This skill supersedes the old `find-nearby` skill — all of find-nearby's
functionality is covered by the `nearby` command below, with the same
`--near "<place>"` shortcut and multi-category support.

## When to Use

- User sends a Telegram location pin (latitude/longitude in the message) → `nearby`
- User wants coordinates for a place name → `search`
- User has coordinates and wants the address → `reverse`
- User asks for nearby restaurants, hospitals, pharmacies, hotels, etc. → `nearby`
- User wants driving/walking/cycling distance or travel time → `distance`
- User wants turn-by-turn directions between two places → `directions`
- User wants timezone information for a location → `timezone`
- User wants to search for POIs within a geographic area → `area` + `bbox`

## Prerequisites

Python 3.8+ (stdlib only — no pip installs needed).

Script path: `~/.argent/skills/maps/scripts/maps_client.py`

## Commands

```bash
MAPS=~/.argent/skills/maps/scripts/maps_client.py
```

### search — Geocode a place name

```bash
python3 $MAPS search "Eiffel Tower"
python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"
```

Returns: lat, lon, display name, type, bounding box, importance score.

### reverse — Coordinates to address

```bash
python3 $MAPS reverse 48.8584 2.2945
```

Returns: full address breakdown (street, city, state, country, postcode).

### nearby — Find places by category

```bash
# By coordinates (from a Telegram location pin, for example)
python3 $MAPS nearby 48.8584 2.2945 restaurant --limit 10
python3 $MAPS nearby 40.7128 -74.0060 hospital --radius 2000

# By address / city / zip / landmark — --near auto-geocodes
python3 $MAPS nearby --near "Times Square, New York" --category cafe
python3 $MAPS nearby --near "90210" --category pharmacy

# Multiple categories merged into one query
python3 $MAPS nearby --near "downtown austin" --category restaurant --category bar --limit 10
```

46 categories: restaurant, cafe, bar, hospital, pharmacy, hotel, guest_house,
camp_site, supermarket, atm, gas_station, parking, museum, park, school,
university, bank, police, fire_station, library, airport, train_station,
bus_stop, church, mosque, synagogue, dentist, doctor, cinema, theatre, gym,
swimming_pool, post_office, convenience_store, bakery, bookshop, laundry,
car_wash, car_rental, bicycle_rental, taxi, veterinary, zoo, playground,
stadium, nightclub.

Each result includes: `name`, `address`, `lat`/`lon`, `distance_m`,
`maps_url` (clickable Google Maps link), `directions_url` (Google Maps
directions from the search point), and promoted tags when available —
`cuisine`, `hours` (opening_hours), `phone`, `website`.

### distance — Travel distance and time

```bash
python3 $MAPS distance "Paris" --to "Lyon"
python3 $MAPS distance "New York" --to "Boston" --mode driving
python3 $MAPS distance "Big Ben" --to "Tower Bridge" --mode walking
```

Modes: driving (default), walking, cycling. Returns road distance, duration,
and straight-line distance for comparison.

### directions — Turn-by-turn navigation

```bash
python3 $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking
python3 $MAPS directions "JFK Airport" --to "Times Square" --mode driving
```

Returns numbered steps with instruction, distance, duration, road name, and
maneuver type (turn, depart, arrive, etc.).

### timezone — Timezone for coordinates

```bash
python3 $MAPS timezone 48.8584 2.2945
python3 $MAPS timezone 35.6762 139.6503
```

Returns timezone name, UTC offset, and current local time.

### area — Bounding box and area for a place

```bash
python3 $MAPS area "Manhattan, New York"
python3 $MAPS area "London"
```

Returns bounding box coordinates, width/height in km, and approximate area.
Useful as input for the bbox command.

From ArgentAIOS/argentos-core, MIT.

More from ArgentAIOS/argentos-core