docs: add gcs board throughout docs

Author: machow

README.md

@@ -5,8 +5,8 @@
 The pins package publishes data, models, and other Python objects, making it
 easy to share them across projects and with your colleagues. You can pin
 objects to a variety of pin *boards*, including folders (to share on a
-networked drive or with services like DropBox), RStudio Connect, and Amazon
-S3.
+networked drive or with services like DropBox), RStudio Connect, Amazon S3,
+and Google Cloud Storage.
 Pins can be automatically versioned, making it straightforward to track changes,
 re-run analyses on historical data, and undo mistakes.
 
@@ -103,7 +103,7 @@ You can easily control who gets to access the data using the RStudio
 Connect permissions pane.
 
 The pins package also includes boards that allow you to share data on
-services like Amazon’s S3 (`board_s3()`), with plans to support other backends--
+services like Amazon’s S3 (`board_s3()`), and Google Cloud Storage (`board_gcs`), with plans to support other backends--
 such as Azure's blob storage.
 
 ## Development

docs/api/constructors.rst

@@ -10,5 +10,6 @@ Board Constructors
    ~board_local
    ~board_temp
    ~board_s3
+   ~board_gcs
    ~board_rsconnect
    ~board

docs/getting_started.Rmd

@@ -21,7 +21,8 @@ Getting Started
 ===============
 
 The pins package helps you publish data sets, models, and other Python objects, making it easy to share them across projects and with your colleagues.
-You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with DropBox), RStudio connect, Amazon S3, and more.
+You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with DropBox), RStudio connect, Amazon S3,
+Google Cloud Storage, and more.
 This vignette will introduce you to the basics of pins.
 
 ```{python}