docs/content/actions/learn-github-actions/essential-features-of-github-actions.md

title, shortTitle, intro, versions, type, topics

title	shortTitle	intro	versions	type	topics
Essential features of GitHub Actions	Essential features	{% 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.	free-pro-team enterprise-server github-ae * >=2.22 *	overview	Fundamentals

{% data reusables.actions.enterprise-beta %} {% data reusables.actions.enterprise-github-hosted-runners %} {% data reusables.actions.ae-beta %}

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.

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."

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.

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.

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 %}."

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.

For example, you can create a file and then upload it as an artifact.

jobs:
  example-job:
    name: Save output
    steps:
      - shell: bash
        run: |
          expr 1 + 1 > output.log
      - name: Upload output file
        uses: actions/upload-artifact@v1
        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.

jobs:
  example-job:
    steps:
      - name: Download a single artifact
        uses: actions/download-artifact@v2
        with:
          name: output-log-file

For more information about artifacts, see "Persisting workflow data using artifacts."

Next steps

To continue learning about {% data variables.product.prodname_actions %}, see "Managing complex workflows."