hermes-agent/skills/productivity/maps/SKILL.md
Teknium ea0bd81b84 feat(skills): consolidate find-nearby into maps as a single location skill
find-nearby and the (new) maps optional skill both used OpenStreetMap's
Overpass + Nominatim to answer the same question — 'what's near this
location?' — so shipping both would be duplicate code for overlapping
capability. Consolidate into one active-by-default skill at
skills/productivity/maps/ that is a strict superset of find-nearby.

Moves + deletions:
- optional-skills/productivity/maps/ → skills/productivity/maps/ (active,
  no install step needed)
- skills/leisure/find-nearby/ → DELETED (fully superseded)

Upgrades to maps_client.py so it covers everything find-nearby did:
- Overpass server failover — tries overpass-api.de then
  overpass.kumi.systems so a single-mirror outage doesn't break the skill
  (new overpass_query helper, used by both nearby and bbox)
- nearby now accepts --near "<address>" as a shortcut that auto-geocodes,
  so one command replaces the old 'search → copy coords → nearby' chain
- nearby now accepts --category (repeatable) for multi-type queries in
  one call (e.g. --category restaurant --category bar), results merged
  and deduped by (osm_type, osm_id), sorted by distance, capped at --limit
- Each nearby result now includes maps_url (clickable Google Maps search
  link) and directions_url (Google Maps directions from the search point
  — only when a ref point is known)
- Promoted commonly-useful OSM tags to top-level fields on each result:
  cuisine, hours (opening_hours), phone, website — instead of forcing
  callers to dig into the raw tags dict

SKILL.md:
- Version bumped 1.1.0 → 1.2.0, description rewritten to lead with
  capability surface
- New 'Working With Telegram Location Pins' section replacing
  find-nearby's equivalent workflow
- metadata.hermes.supersedes: [find-nearby] so tooling can flag any
  lingering references to the old skill

External references updated:
- optional-skills/productivity/telephony/SKILL.md — related_skills
  find-nearby → maps
- website/docs/reference/skills-catalog.md — removed the (now-empty)
  'leisure' section, added 'maps' row under productivity
- website/docs/user-guide/features/cron.md — find-nearby example
  usages swapped to maps
- tests/tools/test_cronjob_tools.py, tests/hermes_cli/test_cron.py,
  tests/cron/test_scheduler.py — fixture string values swapped
- cli.py:5290 — /cron help-hint example swapped

Not touched:
- RELEASE_v0.2.0.md — historical record, left intact

E2E-verified live (Nominatim + Overpass, one query each):
- nearby --near "Times Square" --category restaurant --category bar → 3 results,
  sorted by distance, all with maps_url, directions_url, cuisine, phone, website
  where OSM had the tags

All 111 targeted tests pass across tests/cron/, tests/tools/, tests/hermes_cli/.
2026-04-19 05:19:22 -07:00

6.8 KiB

name description version author license metadata
maps Location intelligence — geocode a place, reverse-geocode coordinates, find nearby places (44 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
hermes
tags category requires_toolsets supersedes
maps
geocoding
places
routing
distance
directions
nearby
location
openstreetmap
nominatim
overpass
osrm
productivity
terminal
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

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

44 categories: restaurant, cafe, bar, hospital, pharmacy, hotel, 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":

  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 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)
  • distance and directions use --to flag 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