maps
Location intelligence — geocode a place, reverse-geocode coordinates, find nearby places (46 POI categories), driving/walking/cycling distance + time, turn-by-turn directions, timezone lookup, boundin
Location intelligence — geocode a place, reverse-geocode coordinates, find nearby places (46 POI categories), driving/walking/cycling distance + time, turn-by-turn directions, timezone lookup, boundin
Real data. Real impact.
Emerging
Developers
Per week
Excellent
Skills give you superpowers. Install in 30 seconds.
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.
nearbysearchreversenearbydistancedirectionstimezonearea + bboxPython 3.8+ (stdlib only — no pip installs needed).
Script path:
~/.hermes/skills/maps/scripts/maps_client.py
MAPS=~/.hermes/skills/maps/scripts/maps_client.py
python3 $MAPS search "Eiffel Tower" python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"
Returns: lat, lon, display name, type, bounding box, importance score.
python3 $MAPS reverse 48.8584 2.2945
Returns: full address breakdown (street, city, state, country, postcode).
# 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.
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.
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.).
python3 $MAPS timezone 48.8584 2.2945 python3 $MAPS timezone 35.6762 139.6503
Returns timezone name, UTC offset, and current local time.
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.
python3 $MAPS bbox 40.75 -74.00 40.77 -73.98 restaurant --limit 20
Finds POIs within a geographic rectangle. Use
area first to get the
bounding box coordinates for a named place.
When a user sends a location pin, the message contains
latitude: and
longitude: fields. Extract those and pass them straight to nearby:
# User sent a pin at 36.17, -115.14 and asked "find cafes nearby" python3 $MAPS nearby 36.17 -115.14 cafe --radius 1500
Present results as a numbered list with names, distances, and the
maps_url field so the user gets a tap-to-open link in chat. For "open
now?" questions, check the hours field; if missing or unclear, verify
with web_search since OSM hours are community-maintained and not always
current.
"Find Italian restaurants near the Colosseum":
nearby --near "Colosseum Rome" --category restaurant --radius 500
— one command, auto-geocoded"What's near this location pin they sent?":
nearby LAT LON cafe --radius 1500"How do I walk from hotel to conference center?":
directions "Hotel Name" --to "Conference Center" --mode walking"What restaurants are in downtown Seattle?":
area "Downtown Seattle" → get bounding boxbbox S W N E restaurant --limit 30nearby requires lat/lon OR --near "<address>" — one of the two is neededdistance and directions use --to flag for the destination (not positional)python3 ~/.hermes/skills/maps/scripts/maps_client.py search "Statue of Liberty" # Should return lat ~40.689, lon ~-74.044 python3 ~/.hermes/skills/maps/scripts/maps_client.py nearby --near "Times Square" --category restaurant --limit 3 # Should return a list of restaurants within ~500m of Times Square
MIT
mkdir -p ~/.hermes/skills/productivity/maps && curl -o ~/.hermes/skills/productivity/maps/SKILL.md https://raw.githubusercontent.com/NousResearch/hermes-agent/main/skills/productivity/maps/SKILL.md1,500+ AI skills, agents & workflows. Install in 30 seconds. Part of the Torly.ai family.
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