--- title: Essential features of GitHub Actions shortTitle: Essential features intro: '{% data variables.product.prodname_actions %} are designed to help you build robust and dynamic automations. This guide will show you how to craft {% data variables.product.prodname_actions %} workflows that include environment variables, customized scripts, and more.' versions: fpt: '*' ghes: '*' ghae: '*' ghec: '*' type: overview topics: - Fundamentals --- {% data reusables.actions.enterprise-beta %} {% data reusables.actions.enterprise-github-hosted-runners %} ## Overview {% data variables.product.prodname_actions %} allow you to customize your workflows to meet the unique needs of your application and team. In this guide, we'll discuss some of the essential customization techniques such as using variables, running scripts, and sharing data and artifacts between jobs. ## Using variables in your workflows {% data variables.product.prodname_actions %} include default environment variables for each workflow run. If you need to use custom environment variables, you can set these in your YAML workflow file. This example demonstrates how to create custom variables named `POSTGRES_HOST` and `POSTGRES_PORT`. These variables are then available to the `node client.js` script. ```yaml jobs: example-job: steps: - name: Connect to PostgreSQL run: node client.js env: POSTGRES_HOST: postgres POSTGRES_PORT: 5432 ``` For more information, see "[Using environment variables](/actions/configuring-and-managing-workflows/using-environment-variables)." ## Adding scripts to your workflow You can use actions to run scripts and shell commands, which are then executed on the assigned runner. This example demonstrates how an action can use the `run` keyword to execute `npm install -g bats` on the runner. ```yaml jobs: example-job: steps: - run: npm install -g bats ``` For example, to run a script as an action, you can store the script in your repository and supply the path and shell type. ```yaml jobs: example-job: steps: - name: Run build script run: ./.github/scripts/build.sh shell: bash ``` For more information, see "[Workflow syntax for {% data variables.product.prodname_actions %}](/actions/reference/workflow-syntax-for-github-actions#jobsjob_idstepsrun)." ## Sharing data between jobs If your job generates files that you want to share with another job in the same workflow, or if you want to save the files for later reference, you can store them in {% data variables.product.prodname_dotcom %} as _artifacts_. Artifacts are the files created when you build and test your code. For example, artifacts might include binary or package files, test results, screenshots, or log files. Artifacts are associated with the workflow run where they were created and can be used by another job. {% data reusables.actions.reusable-workflow-artifacts %} For example, you can create a file and then upload it as an artifact. ```yaml jobs: example-job: name: Save output steps: - shell: bash run: | expr 1 + 1 > output.log - name: Upload output file uses: {% data reusables.actions.action-upload-artifact %} with: name: output-log-file path: output.log ``` To download an artifact from a separate workflow run, you can use the `actions/download-artifact` action. For example, you can download the artifact named `output-log-file`. ```yaml jobs: example-job: steps: - name: Download a single artifact uses: {% data reusables.actions.action-download-artifact %} with: name: output-log-file ``` To download an artifact from the same workflow run, your download job should specify `needs: upload-job-name` so it doesn't start until the upload job finishes. For more information about artifacts, see "[Persisting workflow data using artifacts](/actions/configuring-and-managing-workflows/persisting-workflow-data-using-artifacts)." ## Next steps To continue learning about {% data variables.product.prodname_actions %}, see "[Managing complex workflows](/actions/learn-github-actions/managing-complex-workflows)."