Guides the authoring and validation of Apache Airflow DAGs for Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.
Install
npx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-managed-airflow-dag-authoringnpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-managed-airflow-dag-authoring -a claude-code -gnpx skills add GoogleCloudPlatform/data-agent-kit-plugin --skill gcp-managed-airflow-dag-authoring -a codex -ggemini skills install https://github.com/GoogleCloudPlatform/data-agent-kit-plugin.git --path skills/gcp-managed-airflow-dag-authoringgh skill install GoogleCloudPlatform/data-agent-kit-plugin gcp-managed-airflow-dag-authoringgit clone --depth 1 https://github.com/GoogleCloudPlatform/data-agent-kit-plugin /tmp/GoogleCloudPlatform__data-agent-kit-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/gcp-managed-airflow-dag-authoring ~/.claude/skills/gcp-managed-airflow-dag-authoring # Claude Code
cp -R /tmp/GoogleCloudPlatform__data-agent-kit-plugin/skills/gcp-managed-airflow-dag-authoring ~/.agents/skills/gcp-managed-airflow-dag-authoring # Codex, Cursor, Gemini CLI, Copilot, OpenCode