Small follow-up inspired by stale PR #2421 (@poojandpatel). - bakery now searches both shop=bakery AND amenity=bakery in one Overpass query so indie bakeries tagged either way are returned. Reproduces #2421's Lawrenceville, NJ test case (The Gingered Peach, WildFlour Bakery). - Adds tourism=guest_house and tourism=camp_site as first-class categories. - CATEGORY_TAGS entries can now be a list of (key, value) tuples; new _tags_for() normaliser + tag_pairs= kwarg on build_overpass_nearby/bbox union the results in one query. Old single-tuple call sites unchanged (back-compat preserved). - SKILL.md: 44 → 46 categories, list updated.
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| name | description | version | author | license | metadata | ||||||||||||||||||||||||
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| 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, bounding box + area for a named place, and POI search within a rectangle. Uses OpenStreetMap + Overpass + OSRM. Free, no API key. | 1.2.0 | Mibayy | MIT |
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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: ~/.hermes/skills/maps/scripts/maps_client.py
Commands
MAPS=~/.hermes/skills/maps/scripts/maps_client.py
search — Geocode a place name
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
python3 $MAPS reverse 48.8584 2.2945
Returns: full address breakdown (street, city, state, country, postcode).
nearby — Find places by category
# 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
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
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
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
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.
bbox — Search within a bounding box
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.
Working With Telegram Location Pins
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.
Workflow Examples
"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?":
- Extract lat/lon from the Telegram message
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 30
Pitfalls
- Nominatim ToS: max 1 req/s (handled automatically by the script)
nearbyrequires lat/lon OR--near "<address>"— one of the two is needed- OSRM routing coverage is best for Europe and North America
- Overpass API can be slow during peak hours; the script automatically falls back between mirrors (overpass-api.de → overpass.kumi.systems)
distanceanddirectionsuse--toflag for the destination (not positional)- If a zip code alone gives ambiguous results globally, include country/state
Verification
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