Astronomer
Official@astronomer · Globally distributed
Modern Data Orchestration, powered by Apache Airflow
Agent Skills by Astronomer
Showing 22 vetted skills indexed across 2 GitHub repositories.
astronomerfunctional-tests
Create and execute functional end-to-end tests for Astronomer Private Cloud Helm charts using Kubernetes API and testinfra utilities.
astronomercircleci
Enforce script organization, generated configs, and version pinning in CircleCI.
astronomerhelm-chart
Develop and validate Helm charts for the Astronomer Private Cloud.
astronomerchart-tests
Write and run pytest-based Helm chart tests for the Astronomer Private Cloud repository.
astronomerinit
Generate a version-controlled .astro/warehouse.md with per-table metadata from warehouse system catalogs.
astronomertracing-upstream-lineage
Trace upstream data lineage by identifying sources and producing DAGs.
astronomerannotating-task-lineage
Annotate Airflow task lineage with inlets and outlets using OpenLineage datasets.
astronomermigrating-airflow-2-to-3
Migrate Airflow 2.x DAGs and code to Airflow 3.x with rule-based fixes.
astronomerdebugging-dags
Diagnose Airflow DAG failures and identify root causes across pipelines.
astronomerchecking-freshness
Evaluate latest timestamps across tables and output structured freshness reports.
astronomeranalyzing-data
Query data warehouses with SQL and return Polars/Pandas dataframes.
astronomercosmos-dbt-core
Convert dbt Core projects into Airflow DAGs or TaskGroups using Astronomer Cosmos.
astronomerairflow
Manage Apache Airflow DAGs, logs, and health via the Airflow MCP CLI.
astronomersetting-up-astro-project
Initialize and configure Astro/Airflow projects using the Astro CLI.
astronomerprofiling-tables
Analyze a specified table to generate a structured data profile.
astronomertracing-downstream-lineage
Trace downstream data lineage and assess impact across tables, DAGs, and dashboards.
astronomermanaging-astro-local-env
Manage local Airflow environments using Astro CLI lifecycle commands.
astronomertesting-dags
Trigger Airflow DAG runs, diagnose failures, and inspect task logs.
astronomercosmos-dbt-fusion
Run dbt Fusion projects on Snowflake or Databricks with Astronomer Cosmos.
astronomerauthoring-dags
Author Apache Airflow DAGs with MCP-guided best practices.
astronomercreating-openlineage-extractors
Implement OpenLineage extractors for Airflow operators lacking built-in lineage.
astronomerairflow-hitl
Implement deferrable human-in-the-loop operators in Airflow 3.1+ DAGs.
Frequently Asked Questions About Astronomer
FAQPage SchemaWhat specific tasks can I perform with these capabilities?▼
You can author, debug, and test DAGs, manage local development environments, generate data profiles, evaluate table freshness, and implement human-in-the-loop operators for complex pipeline requirements.
Which personas benefit most from these technical capabilities?▼
Data engineers, platform architects, and analytics engineers benefit by streamlining pipeline deployment, enforcing lineage standards, and managing complex dependencies between warehouse systems and orchestration layers.
What are the prerequisites for deploying these orchestration features?▼
Deployment requires a configured environment with the Astro runtime, access to Kubernetes clusters for private cloud instances, and existing connectivity to your target data warehouses like Snowflake or Databricks.