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data Claude Code Plugin

Category
Development
Topics
Data Engineering & Analytics · Cloud, Deployment & CI/CD · Migration & Modernization
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-07-16 (UTC)
Source (GitHub) last updated
2026-08-05 (UTC) (22 days ago)

The explanation below is AI-generated. Please verify it against the sources.

This plugin, named astronomer-data, is a Claude Code plugin built by Astronomer that adds Apache Airflow and data-engineering capabilities to an AI coding agent. It bundles an MCP server that talks to the Airflow REST API, a terminal CLI called af, and a set of specialized skills covering DAG authoring, debugging, lineage tracing, table profiling, warehouse querying, and migration from Airflow 2.x to 3.x. It can connect to either a self-hosted open-source Airflow instance or Astronomer's managed Astro platform, and it can query data warehouses such as Snowflake, BigQuery, and PostgreSQL through configured connections. Skills also cover deploying Airflow projects, running dbt projects as DAGs via Astronomer Cosmos, and human-in-the-loop workflow steps in Airflow 3.1+. The tool is distributed under the Apache 2.0 license and works with Claude Code as well as other MCP-compatible or skill-compatible coding agents.

About the service

Astro is Astronomer's managed cloud service for running Apache Airflow, offering deployment management, monitoring, and infrastructure-as-code features; the plugin can connect to Astro deployments as well as to self-hosted Airflow instances and external data warehouses (e.g., Snowflake, BigQuery, PostgreSQL) for querying and schema discovery.

What you can do with data

  • Write and validate Airflow DAGs following recommended practices
  • Investigate DAG failures and get root-cause analysis
  • Trace upstream and downstream data lineage and annotate task-level lineage
  • Profile database tables and check data freshness
  • Run ad hoc SQL analysis against connected warehouses (Snowflake, BigQuery, PostgreSQL, and others via SQLAlchemy)
  • Migrate DAGs from Airflow 2.x to Airflow 3.x
  • Set up and manage local Airflow development environments
  • Deploy Airflow projects to Astro, Docker Compose, or Kubernetes
  • Run dbt Core or dbt Fusion projects as Airflow DAGs via Astronomer Cosmos
  • Manage Airflow directly from the terminal using the af CLI (health checks, listing DAGs, triggering runs)
  • Support human-in-the-loop workflow steps such as approval gates and form input (Airflow 3.1+)

Sources

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