name: dmi-dk description: DMI (Danmarks Meteorologiske Institut) weather data and forecasts. Use to get weather forecasts, radar-satellite images, sea conditions, warnings, and tide tables. last-updated: 2026-05-09
dmi-dk
DMI (Danmarks Meteorologiske Institut) weather data and forecasts.
CLI
All interaction goes through the dmi CLI — it can be run from anywhere, with
no need to point at the skill directory:
dmi <command> [options]
Prerequisites
Verify the CLI is installed:
which dmi
If missing, install it editable with pipx (from the skill directory). First make sure pipx itself is available, then install:
# Ensure pipx is installed
which pipx || python3 -m pip install --user pipx
python3 -m pipx ensurepath
# Install the dmi CLI
pipx install -e <path-to-dmi-dk-skill>
After installing, confirm dmi is on the PATH (you may need to restart the
shell so pipx ensurepath takes effect):
which dmi
Pure Python standard library — no extra dependencies.
ANSWERING WEATHER QUESTIONS — READ THIS FIRST
When the user asks about the weather, always use forecast-city. This command handles everything: city lookup, forecast fetching, and pretty-printed output. Do NOT use forecast (national forecast) or city-forecast (requires a city ID) for weather questions.
The city argument is optional. If the user does not name a city, run the command with no city argument. The CLI auto-detects the user's city and country from their IP address (ipinfo.io, falling back to ipwho.is) and fetches that city's forecast — anywhere in the world, not just Denmark. If detection fails, it falls back to København.
The default command (user didn't specify a city)
# Auto-detect city from IP → daily forecast
dmi forecast-city
# This is the command you should use 90% of the time
User specified a city
# Daily forecast for the named city
dmi forecast-city Aarhus
dmi forecast-city Odense
Tomorrow or today
# Tomorrow's forecast (auto-detected city)
dmi forecast-city --tomorrow
# Today's forecast (auto-detected city)
dmi forecast-city --today
# Tomorrow for a specific city
dmi forecast-city Aarhus --tomorrow
Hourly forecast
The default output is daily aggregates. Use --hours N or --days N for hourly data:
# Next 24 hours
dmi forecast-city --hours 24
# Next 3 days (hourly)
dmi forecast-city --days 3
City name input
Accepts ASCII approximations — aa → å, oe → ø, ae → æ are normalised automatically. So kobenhavn, aarhu, aalbu all work.
Sample output
Vejrprognose for København (DK)
Opdateret: 2026-05-09 17:37:36
Solopgang: 05:10 Solnedgang: 21:02
Uge Dato Min Max Nedbør Vind UV
----------------------------------------------------
lør 09-05 11 15 0.0 2.6 m/s Syd 4.4
søn 10-05 9 15 2.32 2.2 m/s SØ 4.5
man 11-05 9 12 2.53 1.8 m/s Øst 4.0
Or with --tomorrow:
Vejrprognose for København (DK)
Opdateret: 2026-05-09 17:37:36
Solopgang: 05:10 Solnedgang: 21:02
I morgen (søn 10-05):
Temperatur: 9–15 °C Nedbør: 2.32 mm Vind: 2.2 m/s SØ UV: 4.5 (Moderat — beskyttelse anbefales)
OTHER COMMANDS (rarely needed for weather questions)
City Search
# List matching cities
dmi city-search København
# Get just the city ID
dmi city-search København --id-only
# → 2618425
City Forecast by ID
dmi city-forecast 2618425
dmi city-forecast 2618425 --today
dmi city-forecast 2618425 --tomorrow
National Forecast
dmi forecast
dmi forecast --days DK/land7
Sea Area Forecast
dmi sea
Weather Stations
dmi waters København
dmi texts <gid>
Water Levels
dmi waterlevels
Weather Images
dmi images
dmi images --type radar
# Also: satellite, pressure, precipitation, wind, temperature, waves, ice
ARGUMENTS REFERENCE
forecast-city [city]
| Argument | Description |
|---|---|
city |
City name (optional — auto-detects from IP if omitted) |
--hours |
Hourly forecast for N hours |
--days |
Hourly forecast for N days (each day = 24 hours) |
--daily |
Daily aggregates (default) |
--today |
Today only |
--tomorrow |
Tomorrow only |
--raw |
Raw JSON |
city-forecast <city_id>
| Argument | Description |
|---|---|
city_id |
City ID from city-search --id-only |
--hours / --days |
Hourly forecast |
--daily |
Daily aggregates |
--today / --tomorrow |
Single day |
--raw |
Raw JSON |
city-search <city>
| Argument | Description |
|---|---|
city |
City name to search for |
--id-only |
Print only the first matching city ID |
--raw |
Raw JSON |
NOTES
- Pure Python standard library — no extra dependencies.
- City names are normalised automatically:
aa→å,oe→ø,ae→æ. - English exonyms are translated to the Danish names DMI indexes (e.g.
Copenhagen→København) for Danish locations, and IP auto-detection picks the city in the detected country so a foreign namesake (e.g. a US town called Copenhagen) is never used. - Formatted output rounds all decimals to at most 2 places.
--today/--tomorrowshow a compact single-line format.