home-assistant · fabaff · Oct 5, 2016 · Sep 26, 2016 · Sep 26, 2016 · Sep 26, 2016
diff --git a/source/_components/sensor.dark_sky.markdown b/source/_components/sensor.dark_sky.markdown
@@ -0,0 +1,88 @@
+---
+layout: page
+title: "Dark Sky"
+description: "How to integrate Dark Sky within Home Assistant."
+date: 2016-09-26 08:00
+sidebar: true
+comments: false
+sharing: true
+footer: true
+logo: dark_sky.png
+ha_category: Weather
+featured: true
+ha_release: 0.30
+---
+
+The `dark_sky` platform uses the [Dark Sky](https://darksky.net/) web service as a source for meteorological data for your location. The location is based on the `longitude` and `latitude` coordinates configured in your `configuration.yaml` file. The coordinates are auto-detected but to take advantage of the hyper-local weather reported by Dark Sky, you can refine them down to your exact home address. GPS coordinates can be found by using [Google Maps](https://www.google.com/maps) and clicking on your home or [Openstreetmap](http://www.openstreetmap.org/).
+
+You need an API key which is free but requires [registration](hhttps://darksky.net/dev/register). You can make up to 1000 calls per day for free which means that you could make one approximately every 86 seconds.
+
+<p class='note warning'>
+[Dark Sky](https://darksky.net/) will charge you $0.0001 per API call if you enter your credit card details and create more than 1000 calls per day.
+</p>
+
+To add Dark Sky to your installation, add the following to your `configuration.yaml` file:
+
+```yaml
+# Example configuration.yaml entry
+sensor:
+  platform: dark_sky
+  api_key: YOUR_APP_KEY
+  monitored_conditions:
+    - summary
+    - icon
+    - nearest_storm_distance
+    - nearest_storm_bearing
+    - precip_type
+    - precip_intensity
+    - precip_probability
+    - temperature
+    - apparent_temperature
+    - dew_point
+    - wind_speed
+    - wind_bearing
+    - cloud_cover
+    - humidity
+    - pressure
+    - visibility
+    - ozone
+    - minutely_summary
+    - hourly_summary
+    - daily_summary
+    - temperature_max
+    - temperature_min
+    - apparent_temperature_max
+    - apparent_temperature_min
+    - precip_intensity_max
+```
+
+Configuration variables:
+
+- **api_key** (*Required*): Your API key.
+- **monitored_conditions** array (*Required*): Conditions to display in the frontend.
+  - **summary**: A human-readable text summary of the current conditions.
+  - **precip_type**: The type of precipitation occurring.
+  - **precip_intensity**: The average expected intensity of precipitation occurring.
+  - **precip_probability**: A value between 0 and 1 which is representing the probability of precipitation.
+  - **temperature**: The current temperature.
+  - **apparent_temperature**: A numerical value representing the apparent (or "feels like") temperature.
+  - **dew_point**: The dew point.
+  - **wind_speed**: The wind speed.
+  - **wind_bearing**: Where the wind is coming from in degrees, with true north at 0° and progressing clockwise.
+  - **cloud_cover**: The percentage of sky occluded by clouds.
+  - **humidity**: The relative humidity.
+  - **pressure**: The sea-level air pressure in millibars.
+  - **visibility**: The average visibility.
+  - **ozone**: The columnar density of total atmospheric ozone in Dobson.
+  - **minutely_summary**: A human-readable text summary for the next hour.
+  - **hourly_summary**: A human-readable text summary for the next 24 hours.
+  - **daily_summary**: A human-readable text summary for the next 7 days.
+  - **temperature_max**: Today's expected high temperature.
+  - **temperature_min**: Today's expected low temperature.
+  - **apparent_temperature_max**: Today's expected apparent high temperature.
+  - **apparent_temperature_min**: Today's expected apparent low temperature.
+  - **precip_intensity_max**: Today's expected maximum intensity of precipitation.
+- **units** (*Optional*): Specify the unit system. Default to `si` or `us` based on the temperature preference in Home Assistant. Other options are `auto`, `us`, `si`, `ca`, and `uk2`.
+`auto` will let forecast.io decide the unit system based on location.
+
+Details about the API are available in the [Dark Sky documentation](https://darksky.net/dev/docs).
diff --git a/source/_components/sensor.forecast.markdown b/source/_components/sensor.forecast.markdown
@@ -8,11 +8,15 @@ comments: false
 sharing: true
 footer: true
 logo: forecast.png
-ha_category: Weather
-featured: true
+ha_category: Deprecated
+featured: False
 ha_release: pre 0.7
 ---
 
+<p class='note warning'>
+**This platform has been deprecated in favor of the "[dark_sky](/components/sensor.dark_sky/)" platform and will be removed in the future. Please use the "dark_sky" platform.**
+</p>
+
 The `forecast` platform uses the [Forecast.io](https://forecast.io/) web service as a source of meteorological data for your location. The location is based on the `longitude` and `latitude` coordinates configured in your `configuration.yaml` file. The coordinates are auto-detected but to take advantage of the hyper-local weather reported by forecast.io, you can refine them down to your exact home address. GPS coordinates can be found by using [Google Maps](https://www.google.com/maps) and clicking on your home or [Openstreetmap](http://www.openstreetmap.org/).
 
 You need an API key which is free but requires [registration](https://developer.forecast.io/register). You can make up to 1000 calls per day for free which means that you could make one approximately every 86 seconds.

diff --git a/source/images/supported_brands/dark_sky.png b/source/images/supported_brands/dark_sky.png