data
PackCloud & infraData engineering for Apache Airflow is a plugin that gives an AI agent the ability to write and fix Airflow pipelines, debug failed runs, trace data lineage, and manage deployments. It works with Apache Airflow and Astronomer, covering both local and cloud environments.
Unavailable. Delivery for this kind is on the roadmap — not serving yet.
Have access to an Apache Airflow or Astronomer environment you want the agent to work with.
What your AI can do with it
- Author DAGs following best practices
- Debug pipeline failures
- Trace data lineage
- Profile tables
- Migrate Airflow 2 to Airflow 3
- Manage local and cloud deployments
Getting started
- Have access to an Apache Airflow or Astronomer environment you want the agent to work with.
- Install the data plugin so your agent can use it.
- Ask the agent to author, debug, or migrate DAGs, or to manage a deployment.
Signals
- GitHub stars
- 37k
- Forks
- 4k
- Last commit
- Sep 2026
Questions
- What does this plugin do?
- It helps an agent write and fix Apache Airflow pipelines, debug failed runs, track data lineage, profile tables, migrate Airflow 2 to 3, and manage local and cloud deployments.
- Does it work with Astronomer?
- Yes. It covers data engineering for Apache Airflow and Astronomer, including managing local and cloud deployments.
- Can it help upgrade from Airflow 2 to Airflow 3?
- Yes, migrating Airflow 2 to Airflow 3 is one of its supported tasks.
Advanced
- Item type
- plugin
- Key
anthropics-claude-plugins-official-data- Source
- github.com/anthropics/claude-plugins-official