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c5a814b233
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.
199 lines
6.8 KiB
Markdown
199 lines
6.8 KiB
Markdown
---
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name: maps
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description: >
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Location intelligence — geocode a place, reverse-geocode coordinates,
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find nearby places (46 POI categories), driving/walking/cycling
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distance + time, turn-by-turn directions, timezone lookup, bounding
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box + area for a named place, and POI search within a rectangle.
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Uses OpenStreetMap + Overpass + OSRM. Free, no API key.
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version: 1.2.0
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author: Mibayy
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license: MIT
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metadata:
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hermes:
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tags: [maps, geocoding, places, routing, distance, directions, nearby, location, openstreetmap, nominatim, overpass, osrm]
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category: productivity
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requires_toolsets: [terminal]
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supersedes: [find-nearby]
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---
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# Maps Skill
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Location intelligence using free, open data sources. 8 commands, 44 POI
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categories, zero dependencies (Python stdlib only), no API key required.
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Data sources: OpenStreetMap/Nominatim, Overpass API, OSRM, TimeAPI.io.
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This skill supersedes the old `find-nearby` skill — all of find-nearby's
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functionality is covered by the `nearby` command below, with the same
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`--near "<place>"` shortcut and multi-category support.
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## When to Use
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- User sends a Telegram location pin (latitude/longitude in the message) → `nearby`
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- User wants coordinates for a place name → `search`
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- User has coordinates and wants the address → `reverse`
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- User asks for nearby restaurants, hospitals, pharmacies, hotels, etc. → `nearby`
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- User wants driving/walking/cycling distance or travel time → `distance`
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- User wants turn-by-turn directions between two places → `directions`
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- User wants timezone information for a location → `timezone`
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- User wants to search for POIs within a geographic area → `area` + `bbox`
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## Prerequisites
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Python 3.8+ (stdlib only — no pip installs needed).
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Script path: `~/.hermes/skills/maps/scripts/maps_client.py`
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## Commands
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```bash
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MAPS=~/.hermes/skills/maps/scripts/maps_client.py
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```
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### search — Geocode a place name
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```bash
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python3 $MAPS search "Eiffel Tower"
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python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"
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```
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Returns: lat, lon, display name, type, bounding box, importance score.
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### reverse — Coordinates to address
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```bash
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python3 $MAPS reverse 48.8584 2.2945
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```
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Returns: full address breakdown (street, city, state, country, postcode).
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### nearby — Find places by category
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```bash
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# By coordinates (from a Telegram location pin, for example)
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python3 $MAPS nearby 48.8584 2.2945 restaurant --limit 10
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python3 $MAPS nearby 40.7128 -74.0060 hospital --radius 2000
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# By address / city / zip / landmark — --near auto-geocodes
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python3 $MAPS nearby --near "Times Square, New York" --category cafe
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python3 $MAPS nearby --near "90210" --category pharmacy
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# Multiple categories merged into one query
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python3 $MAPS nearby --near "downtown austin" --category restaurant --category bar --limit 10
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```
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46 categories: restaurant, cafe, bar, hospital, pharmacy, hotel, guest_house,
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camp_site, supermarket, atm, gas_station, parking, museum, park, school,
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university, bank, police, fire_station, library, airport, train_station,
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bus_stop, church, mosque, synagogue, dentist, doctor, cinema, theatre, gym,
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swimming_pool, post_office, convenience_store, bakery, bookshop, laundry,
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car_wash, car_rental, bicycle_rental, taxi, veterinary, zoo, playground,
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stadium, nightclub.
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Each result includes: `name`, `address`, `lat`/`lon`, `distance_m`,
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`maps_url` (clickable Google Maps link), `directions_url` (Google Maps
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directions from the search point), and promoted tags when available —
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`cuisine`, `hours` (opening_hours), `phone`, `website`.
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### distance — Travel distance and time
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```bash
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python3 $MAPS distance "Paris" --to "Lyon"
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python3 $MAPS distance "New York" --to "Boston" --mode driving
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python3 $MAPS distance "Big Ben" --to "Tower Bridge" --mode walking
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```
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Modes: driving (default), walking, cycling. Returns road distance, duration,
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and straight-line distance for comparison.
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### directions — Turn-by-turn navigation
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```bash
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python3 $MAPS directions "Eiffel Tower" --to "Louvre Museum" --mode walking
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python3 $MAPS directions "JFK Airport" --to "Times Square" --mode driving
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```
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Returns numbered steps with instruction, distance, duration, road name, and
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maneuver type (turn, depart, arrive, etc.).
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### timezone — Timezone for coordinates
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```bash
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python3 $MAPS timezone 48.8584 2.2945
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python3 $MAPS timezone 35.6762 139.6503
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```
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Returns timezone name, UTC offset, and current local time.
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### area — Bounding box and area for a place
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```bash
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python3 $MAPS area "Manhattan, New York"
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python3 $MAPS area "London"
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```
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Returns bounding box coordinates, width/height in km, and approximate area.
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Useful as input for the bbox command.
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### bbox — Search within a bounding box
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```bash
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python3 $MAPS bbox 40.75 -74.00 40.77 -73.98 restaurant --limit 20
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```
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Finds POIs within a geographic rectangle. Use `area` first to get the
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bounding box coordinates for a named place.
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## Working With Telegram Location Pins
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When a user sends a location pin, the message contains `latitude:` and
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`longitude:` fields. Extract those and pass them straight to `nearby`:
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```bash
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# User sent a pin at 36.17, -115.14 and asked "find cafes nearby"
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python3 $MAPS nearby 36.17 -115.14 cafe --radius 1500
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```
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Present results as a numbered list with names, distances, and the
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`maps_url` field so the user gets a tap-to-open link in chat. For "open
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now?" questions, check the `hours` field; if missing or unclear, verify
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with `web_search` since OSM hours are community-maintained and not always
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current.
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## Workflow Examples
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**"Find Italian restaurants near the Colosseum":**
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1. `nearby --near "Colosseum Rome" --category restaurant --radius 500`
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— one command, auto-geocoded
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**"What's near this location pin they sent?":**
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1. Extract lat/lon from the Telegram message
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2. `nearby LAT LON cafe --radius 1500`
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**"How do I walk from hotel to conference center?":**
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1. `directions "Hotel Name" --to "Conference Center" --mode walking`
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**"What restaurants are in downtown Seattle?":**
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1. `area "Downtown Seattle"` → get bounding box
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2. `bbox S W N E restaurant --limit 30`
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## Pitfalls
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- Nominatim ToS: max 1 req/s (handled automatically by the script)
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- `nearby` requires lat/lon OR `--near "<address>"` — one of the two is needed
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- OSRM routing coverage is best for Europe and North America
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- Overpass API can be slow during peak hours; the script automatically
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falls back between mirrors (overpass-api.de → overpass.kumi.systems)
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- `distance` and `directions` use `--to` flag for the destination (not positional)
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- If a zip code alone gives ambiguous results globally, include country/state
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## Verification
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```bash
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python3 ~/.hermes/skills/maps/scripts/maps_client.py search "Statue of Liberty"
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# Should return lat ~40.689, lon ~-74.044
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python3 ~/.hermes/skills/maps/scripts/maps_client.py nearby --near "Times Square" --category restaurant --limit 3
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# Should return a list of restaurants within ~500m of Times Square
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```
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