メニュー
Geocode places, find nearby POIs, compute routes/distances, and look up timezones via free OpenStreetMap/OSRM data (no API key). Use when: "найди ближайшие кафе", "geocode this address", "сколько ехать от X до Y", "построй маршрут", "find restaurants near", "what timezone is", "directions from A to B"
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | maps |
| description | Geocode places, find nearby POIs, compute routes/distances, and look up timezones via free OpenStreetMap/OSRM data (no API key). Use when: "найди ближайшие кафе", "geocode this address", "сколько ехать от X до Y", "построй маршрут", "find restaurants near", "what timezone is", "directions from A to B" |
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.
nearbysearchreversenearbydistancedirectionstimezonearea + bboxPython 3.8+ (stdlib only — no pip installs needed).
Script path: ~/projects/dotfiles/claude-code/skills/maps/scripts/maps_client.py
MAPS=~/projects/dotfiles/claude-code/skills/maps/scripts/maps_client.py
python3 $MAPS search "Eiffel Tower"
python3 $MAPS search "1600 Pennsylvania Ave, Washington DC"
Returns: lat, lon, display name, type, bounding box, importance score.
python3 $MAPS reverse 48.8584 2.2945
Returns: full address breakdown (street, city, state, country, postcode).
# 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.
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.
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.).
python3 $MAPS timezone 48.8584 2.2945
python3 $MAPS timezone 35.6762 139.6503
Returns timezone name, UTC offset, and current local time.
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.
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.
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. For "open
now?" questions, check the hours field; if missing or unclear, verify
with the WebSearch tool since OSM hours are community-maintained and not
always current.
"Find Italian restaurants near the Colosseum":
nearby --near "Colosseum Rome" --category restaurant --radius 500
— one command, auto-geocoded"What's near this location pin they sent?":
nearby LAT LON cafe --radius 1500"How do I walk from hotel to conference center?":
directions "Hotel Name" --to "Conference Center" --mode walking"What restaurants are in downtown Seattle?":
area "Downtown Seattle" → get bounding boxbbox S W N E restaurant --limit 30nearby requires lat/lon OR --near "<address>" — one of the two is neededdistance and directions use --to flag for the destination (not positional)python3 ~/projects/dotfiles/claude-code/skills/maps/scripts/maps_client.py search "Statue of Liberty"
# Should return lat ~40.689, lon ~-74.044
python3 ~/projects/dotfiles/claude-code/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
Finds and downloads free, legally available audiobooks — public-domain recordings from LibriVox and the Internet Archive — via curl + jq, no API key needed. Saves into /Volumes/SanDisk/Audiobooks/ (syncs to phone) when mounted, else the current topic folder, and sends the file(s) via the bot MCP `send_document`. Does not touch piracy sites that host copyrighted commercial audiobooks without a license — that's out of scope. Use when: "скачай аудиокнигу", "найди бесплатную аудиокнигу", "скачай книгу в аудио", "где послушать книгу бесплатно", "хочу аудиокнигу", "download an audiobook", "find a free audiobook", "get me the audio version of [book]"
Add, edit, or remove scheduled tasks AND reminders (scheduled Telegram messages) in the dotfiles cron: picks the right file, validates the schedule, wires logging/locking, reinstalls crontab via init-cron-jobs.sh. New private entries go into the dotfiles_private overlay (~/projects/dotfiles_private/cron/cron_jobs/); shareable jobs into public ~/projects/dotfiles/cron/cron_jobs/. Use when: "добавь крон", "запланируй задачу", "поставь в крон", "запиши в крон", "убери из крона", "schedule a task", "add a cron job", "add to crontab", "remove cron job", "напомни мне", "поставь напоминание", "напоминай каждый", "remind me", "set a reminder", "ping me at".
Pick a typeface for a specific job — book, newspaper, infographic, logo, invitation, screen UI, deck — using Julian Hansen's "So You Need A Typeface" decision tree, then ground the pick in what can actually be licensed and shipped: free substitutes, pairing partner, CSS stack, Cyrillic coverage. Use when: "подбери шрифт", "какой шрифт выбрать", "шрифт для логотипа", "шрифт для книги", "шрифт для сайта", "пара шрифтов", "с чем сочетать шрифт", "чем заменить Helvetica", "бесплатный аналог шрифта", "choose a typeface", "what font should I use", "font pairing", "free alternative to <font>", "pick a font for this landing page". Skip for: copying a specific brand's look (popular-web-designs), slide layout and sizes (powerpoint), installing font files, generating specimens.
Run local GGUF models with llama.cpp (CPU/Apple Silicon/CUDA/ROCm), pick the right quant, and discover GGUF repos on the Hugging Face Hub. Use when: "запусти модель локально через llama.cpp", "подбери квант GGUF", "найди GGUF на huggingface", "run a local GGUF model", "which quant should I use", "serve a model with llama-server"
Build a "design board" style collage out of a batch of photos the user just sent: cuts each object out as a transparent PNG, picks a background colour from the room photo, then spawns 10 parallel agents that each design a distinct collage variant using Python + PIL. Sends back a thumbnail grid so the user picks the variant they like, then ships the full-resolution file. Use when user sends 2+ photos in a row and asks any of: "сделай коллаж", "собери коллаж", "сделай мудборд", "несколько вариантов коллажа", "10 вариантов", "сделай дизайн-борд", "make a collage", "build a moodboard", "design board", "несколько коллажей", "разные раскладки". Single-photo edits go to the `image-edit` skill, not here.
Transcribe a Synthesia-style piano YouTube video (falling note bars on a virtual keyboard) into a clean MIDI, a real-grand-piano mp3, engraved sheet music (PDF + editable MusicXML), and a Guitar Pro (.gp5) file. Fuses audio transcription (Spotify basic-pitch) with computer-vision reading of the falling bars for accurate pitches and frame-accurate timing, adds audio-derived velocity dynamics and a sustain-pedal lane, then engraves with key/tempo detection. Use when: "разбери видео пианино в ноты", "пианино в ноты", "пианино в миди", "сделай ноты из видео", "ноты по видео с ютуба", "сделай midi из этого пианино", "видео в ноты", "сделай guitar pro из видео", "synthesia to midi", "piano video to sheet music", "transcribe this piano youtube video", "falling notes to midi", "youtube piano to pdf"