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Writing and deploying an MWAA DAG or workflow v1.0.0

Use this resource to write and deploy an orchestrated pipeline with MWAA

New

  • 303 downloads
  • 135 likes
  • 232 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install mwaa-dag-authoring-deployment

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the path (Python DAG or Serverless YAML workflow), then sets operators, timeouts, retries, scheduling and failure notifications. It uploads the artifact to S3 or through the Serverless API. You get an artifact that complies with the schema, ready to test.

Mostly picked by

Updated November 2, 2026

Card for the “Writing and deploying an MWAA DAG or workflow” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: routing to the provisioned or Serverless path and writing steps
  • references/: DAG patterns, YAML schema, Serverless packaging and deployment

Good fit for

  • You need to orchestrate a pipeline that runs every night
  • You are building a pipeline that chains several tasks with retries

Not for

    Tags

    • mwaa
    • airflow
    • dag
    • pipeline
    • scheduling

    About

    You say

    “Write an Airflow DAG that loads an S3 file every night, then runs a transformation, with three retries.”

    Card for the “Writing and deploying an MWAA DAG or workflow” skill

    Skill published by aws under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to write and deploy an orchestrated pipeline with MWAA
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/authoring-provisioned-dag.md14.1 KB
    • references/authoring-serverless-workflow.md7.5 KB
    • references/dag-patterns.md8 KB
    • references/deploying-mwaa.md10.2 KB
    • references/serverless-code-packaging.md3.9 KB
    • references/yaml-schema.md4.8 KB
    • SKILL.md11.2 KB

    Origin and licence

    Listed unmodified

    Author
    aws
    Source
    github.com/aws/agent-toolkit-for-aws/tree/b08b99f38098c30c0ee1a781accd8e349e5b145c/plugins/aws-data-analytics/skills/authoring-mwaa-workflow
    Licence
    Apache-2.0

    Notice

    « authoring-mwaa-workflow » (aws, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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