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+# Dagger 109: creating packages
+
+This tutorial illustrates how to create new packages, manually distribute them among your applications and contribute to
+the Dagger stdlib packages.
+
+## Creating your own package
+
+### Initializing workspace
+
+Create an empty directory for your new Dagger workspace:
+
+```shell
+mkdir workspace
+cd workspace
+```
+
+As described in the previous tutorials, initialize your Dagger workspace:
+
+```shell
+dagger init
+```
+
+That will create 2 directories: `.dagger` and `cue.mod` where our package will reside:
+
+```shell
+.
+├── cue.mod
+│   ├── module.cue
+│   ├── pkg
+│   └── usr
+├── .dagger
+│   └── env
+```
+
+### Writing the package
+
+Now that you've initialized your workspace it's time to write a simple package. Package name usually starts with a
+domain name (as in Go) followed with a descriptive name. In this example we reuse the Cloud Run example and create a
+package from it.
+
+```shell
+mkdir -p cue.mod/pkg/github.com/tjovicic/gcpcloudrun
+```
+
+Let's write the package logic. It is basically what we've seen in the 106-cloudrun example:
+
+```shell
+touch cue.mod/pkg/github.com/tjovicic/gcpcloudrun/source.cue
+```
+
+```cue title="cue.mod/pkg/github.com/tjovicic/gcpcloudrun/source.cue"
+package gcpcloudrun
+
+import (
+  "alpha.dagger.io/dagger"
+  "alpha.dagger.io/docker"
+  "alpha.dagger.io/gcp"
+  "alpha.dagger.io/gcp/cloudrun"
+  "alpha.dagger.io/gcp/gcr"
+)
+
+#Run: {
+  // Source code of the sample application
+  src: dagger.#Artifact & dagger.#Input
+
+  // GCR full image name
+  imageRef: string & dagger.#Input
+
+  image: docker.#Build & {
+      source: src
+  }
+
+  gcpConfig: gcp.#Config
+
+  creds: gcr.#Credentials & {
+      config: gcpConfig
+  }
+
+  push: docker.#Push & {
+      target: imageRef
+      source: image
+      auth: {
+          username: creds.username
+          secret: creds.secret
+      }
+  }
+
+  deploy: cloudrun.#Service & {
+      config: gcpConfig
+      image:  push.ref
+  }
+}
+```
+
+### Running the package
+
+Now that you've successfully created a package, let's run it in a new environment. Create a new test package using
+our reusable `gcpcloudrun`:
+
+```shell
+mkdir test
+
+cat > test/source.cue << EOF
+package test
+
+import (
+  "github.com/tjovicic/gcpcloudrun"
+)
+
+run: gcpcloudrun.#Run
+EOF
+
+dagger new staging -p ./test
+```
+
+Run it:
+
+```shell
+dagger up -e staging
+```
+
+You should see a familiar output:
+
+```shell
+9:32AM ERR system | required input is missing    input=run.src
+9:32AM ERR system | required input is missing    input=run.imageRef
+9:32AM ERR system | required input is missing    input=run.gcpConfig.region
+9:32AM ERR system | required input is missing    input=run.gcpConfig.project
+9:32AM ERR system | required input is missing    input=run.gcpConfig.serviceKey
+9:32AM ERR system | required input is missing    input=run.deploy.name
+9:32AM FTL system | some required inputs are not set, please re-run with `--force` if you think it's a mistake    missing=0s
+```
+
+## Manually distributing packages
+
+You've probably guessed this package isn't tied to just your workspace. You can easily copy/paste it into any number
+of different workspaces and use it as we've showed above.
+
+```shell
+mkdir -p /my-new-workspace/cue.mod/pkg/github.com/tjovicic/gcpcloudrun
+cp ./cue.mod/pkg/github.com/tjovicic/gcpcloudrun/source.cue /new-workspace/cue.mod/pkg/github.com/tjovicic/gcpcloudrun
+```
+
+## Contributing to Dagger stdlib
+
+Our [stdlib](https://github.com/dagger/dagger/tree/main/stdlib) has many useful packages that you can use.
+You've probably seen it when you've initialized your workspace:
+
+```shell
+.
+├── cue.mod
+│   ├── module.cue
+│   ├── pkg
+│   │   ├── alpha.dagger.io
+│   │   └── .gitignore
+│   └── usr
+```
+
+We are still a small community and are constantly looking for new contributors that will work with us improve this
+amazing project. If you feel like we are missing a package or want to improve an existing one, please start with our
+[contributing docs](https://github.com/dagger/dagger/blob/main/CONTRIBUTING.md) and open a PR.