Individual skill
authoring-mwaa-workflow
Authors and deploys MWAA workflow artifacts: Python Airflow DAGs for provisioned environments or YAML workflow files for Serverless. Covers operator selection, timeout design, retry strategy, scheduling, failure notifications, idempotency, and MWAA Serverless schema compliance. Deploys the artifact (S3 DAG upload or Serverless CreateWorkflow/UpdateWorkflow), creates an environment inline when approved, and redeploys fixes, then optionally hands off to testing-mwaa-workflow. Triggers on: create a DAG, write a pipeline, build a workflow, orchestrate tasks, Airflow DAG, data pipeline, schedule a job, deploy a DAG, deploy a workflow, YAML workflow. Not applicable to converting or migrating existing DAGs between provisioned and serverless (conversion is out of scope), running or smoke-testing a deployed workflow (handled by testing-mwaa-workflow) or diagnosing a failed run (handled by debugging-mwaa-workflow).
skills/specialized-skills/analytics-skills/authoring-mwaa-workflow/SKILL.md
Source commit 1761e96813ebcbd43ed81d19e837219033f0afe5
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- Last checked
- Nov 3, 2026
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- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
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SKILL.mdcore · 11,250 bytesreferences/authoring-provisioned-dag.mddoc · 14,218 bytesreferences/authoring-serverless-workflow.mddoc · 7,546 bytesreferences/dag-patterns.mddoc · 8,053 bytesreferences/deploying-mwaa.mddoc · 10,283 bytesreferences/serverless-code-packaging.mddoc · 3,928 bytesreferences/yaml-schema.mddoc · 4,805 bytes
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# Authoring MWAA Workflows
> **AWS MCP server (optional but recommended):** running the AWS CLI commands in
> this skill through the AWS MCP server gives sandboxed execution and audit
> logging. Every command here also works with the plain AWS CLI, so the skill
> does not require the MCP server or any MCP-only tools.
Author production-grade workflow artifacts for Amazon MWAA. Routes to one
of two paths: Python DAG (provisioned) or YAML workflow (Serverless).
> **Execution note — poll in discrete steps:** whenever you wait for an AWS
> operation to reach a terminal or ready state, issue **one status check per
> call** and decide in your own loop whether to check again. Never block a
> single command or script on the wait (no `while`+`sleep` until done),