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/maps

Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.

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kevinnft-ai-agent-skills
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Install
$ npx -y skills add kevinnft/ai-agent-skills --skill maps --agent claude-code

How 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.md
name: maps
description: "Geocode, POIs, routes, timezones via OpenStreetMap/OSRM."
version: 1.2.0
author: Mibayy
license: MIT
metadata:
  hermes:
    tags: [maps, geocoding, places, routing, distance, directions, nearby, location, openstreetmap, nominatim, overpass, osrm]
    category: productivity
    requires_toolsets: [terminal]
    supersedes: [find-nearby]
origin: aggregated
source_license: MIT
source_repo: NousResearch/hermes-agent
source_url: https://github.com/NousResearch/hermes-agent/tree/main/skills/productivity/maps
language: en

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":** 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: m
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