GitHub Actions for DataOps / CI/CD

When to Use

Load this skill when the user needs to:

• Build or review GitHub Actions workflows for dbt, Airflow, Spark, or other data tools
• Set up slim CI for dbt (state:modified+, --defer, manifest.json artifact passing)
• Lint SQL with SQLFluff and surface inline PR annotations
• Validate Airflow DAGs in CI using pytest / DagBag checks
• Run Great Expectations or Soda as a data quality gate in CI
• Build and push Docker images for data tools to ghcr.io with layer caching
• Manage secrets securely — OIDC for AWS/GCP, no static credentials
• Create reusable workflows, matrix builds, and composite actions
• Deploy dbt docs to GitHub Pages

Core Workflow Anatomy