Inspect Airflow deployments on Astro for DAG runs, task logs, and metadata.
npx skills add https://github.com/vanducng/skills --skill astro-airflow
Please help me install this Agent Skill. Skill: astro-airflow Source: https://github.com/vanducng/skills/tree/main/skills/astro-airflow Command: npx skills add https://github.com/vanducng/skills --skill astro-airflow
Read-only debugging surface for Airflow on Astro. Inspect deployment state, DAG runs, task logs, container logs, and environment variables without installing an MCP plugin.
Inspect a deployment with astro deployment inspect <deployment-id> and query the Airflow REST API to retrieve DAG runs.
High-intent search queries and answers about installing and using this skill.
Debug failed DAG runs on Astro Airflow by using the astro CLI and Airflow REST API in read-only mode to retrieve DAG runs, task logs, and deployment metadata without plugins.
Yes, you can inspect Airflow task logs and environment variables in production safely because the Skill operates strictly in read-only mode to gather deployment data without modifying state.
To retrieve Airflow deployment metadata and DAG runs from Astro, you need a valid deployment ID, authorized access, the astro CLI installed, and access to the deployment Airflow REST API.
Compare environment variables between staging and production Airflow deployments by inspecting deployment metadata via the astro CLI to audit and validate configuration differences across environments.
The best way to triage failed DAGs on Astro without modifying the environment is querying the Airflow REST API for task instance data and logs while relying on the astro CLI for deployment state.
Limitations of using read-only astro CLI commands for Airflow debugging include the inability to modify DAGs, rerun tasks, or change environment variables, as the approach strictly gathers metadata and logs.
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