/maps
Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.
$ npx -y skills add NousResearch/hermes-agent --skill maps --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/maps
Context preview
The summary Claude sees to decide when to auto-load this skill.
Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.
SKILL.md
maps.SKILL.mdname: maps
description: "Geocode, POIs, routes, timezones via OpenStreetMap/OSRM."
version: 1.2.0
author: Mibayy
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [maps, geocoding, places, routing, distance, directions, nearby, location, openstreetmap, nominatim, overpass, osrm]
category: productivity
requires_toolsets: [terminal]
supersedes: [find-nearby]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
python $MAPS search "Eiffel Tower"
python $MAPS search "1600 Pennsylvania Ave, Washington DC"
Returns: lat, lon, display name, type, bounding box, importance score.
reverse — Coordinates to address
python $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)
python $MAPS nearby 48.8584 2.2945 restaurant --limit 10
python $MAPS nearby 40.7128 -74.0060 hospital --radius 2000
# By address / city / zip / landmark — --near auto-geocodes
python $MAPS nearby --near "Times Square, New York" --category cafe
python $MAPS nearby --near "90210" --category pharmacy
# Multiple categories merged into one query
python $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
python $MAPS distance "Paris" --to "Lyon"
python $MAPS distance "New York" --to "Boston" --mode driving
python $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
python $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking
python $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
python $MAPS timezone 48.8584 2.2945
python $MAPS timezone 35.6762 139.6503
Returns timezone name, UTC offset, and current local time.
area — Bounding box and area for a place
python $MAPS area "Manhattan, New York"
python $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
python $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"
python $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":** 1. `nearby --near "Colosseum Rome" --category restaurant --radius 500` — one command, auto-geocoded
**"What's near this location pin they sent?":** 1. Extract lat/lon from the Telegram message 2. `nearby LAT LON cafe --radius 1500`
**"How do I walk from hotel to conference center?":** 1. `directions "Hotel Name" --to "Conference Center" --mode walking`
**"What restaurants are in downtown Seattle?":** 1. `area "Downtown Seattle"` → get bounding box 2. `bbox S W N E restaurant --limit 30`
Pitfalls
- Nominatim ToS: max 1 req/s (handled automatically by the script)
- `nearby` requires lat/lon OR `--near "<address>"` — one of the two is needed
- OSRM routing coverage is best for Eur
Read more
name: maps
description: "Geocode, POIs, routes, timezones via OpenStreetMap/OSRM."
version: 1.2.0
author: Mibayy
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [maps, geocoding, places, routing, distance, directions, nearby, location, openstreetmap, nominatim, overpass, osrm]
category: productivity
requires_toolsets: [terminal]
supersedes: [find-nearby]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
python $MAPS search "Eiffel Tower" python $MAPS search "1600 Pennsylvania Ave, Washington DC"
Returns: lat, lon, display name, type, bounding box, importance score.
reverse — Coordinates to address
python $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) python $MAPS nearby 48.8584 2.2945 restaurant --limit 10 python $MAPS nearby 40.7128 -74.0060 hospital --radius 2000 # By address / city / zip / landmark — --near auto-geocodes python $MAPS nearby --near "Times Square, New York" --category cafe python $MAPS nearby --near "90210" --category pharmacy # Multiple categories merged into one query python $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
python $MAPS distance "Paris" --to "Lyon" python $MAPS distance "New York" --to "Boston" --mode driving python $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
python $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking python $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
python $MAPS timezone 48.8584 2.2945 python $MAPS timezone 35.6762 139.6503
Returns timezone name, UTC offset, and current local time.
area — Bounding box and area for a place
python $MAPS area "Manhattan, New York" python $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
python $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" python $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":** 1. `nearby --near "Colosseum Rome" --category restaurant --radius 500` — one command, auto-geocoded
**"What's near this location pin they sent?":** 1. Extract lat/lon from the Telegram message 2. `nearby LAT LON cafe --radius 1500`
**"How do I walk from hotel to conference center?":** 1. `directions "Hotel Name" --to "Conference Center" --mode walking`
**"What restaurants are in downtown Seattle?":** 1. `area "Downtown Seattle"` → get bounding box 2. `bbox S W N E restaurant --limit 30`
Pitfalls
- Nominatim ToS: max 1 req/s (handled automatically by the script)
- `nearby` requires lat/lon OR `--near "<address>"` — one of the two is needed
- OSRM routing coverage is best for Eur
The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a
Repo: NousResearch/hermes-agent

