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/maps

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

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ai-agent-skills
14169 skills

Claude Code

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

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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Questions about maps.

Which coding agents can use maps?
maps installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.