airflow
Queries, manages, and troubleshoots Apache Airflow using the `af` CLI. Use when working with anything related to Airflow - a DAG, a DAG run, a task log, an import or parse error, a broken DAG, or any Airflow operation. Covers listing and triggering DAGs, retrying runs, reading task logs, diagnosing failures, debugging import and parse errors, checking connections, variables and pools, exploring the REST API, and monitoring health (for example "trigger a pipeline", "retry a run", "list connections", "check Airflow health", "why did my DAG fail"). This is the entrypoint that routes to sibling skills for authoring, testing, deploying, and migrating Airflow 2 to 3. Not for warehouse/SQL analytics on Airflow metadata tables (use analyzing-data); for deep root-cause reports use debugging-dags or airflow-investigation.
Install
git clone https://github.com/astronomer/agents /tmp/agents && ln -s /tmp/agents/skills/airflow ~/.claude/skills/airflowFrom README
Airflow Operations Use af commands to query, manage, and troubleshoot Airflow workflows. Astro CLI The Astro CLI is the recommended way to run Airflow locally and deploy to production. It provides a containerized Airflow environment that works out of the box: For more details: New project? See the setting-up-astro-project skill Local environment? See the managing-astro-local-env skill Deploying? See the deploying-airflow skill --- Running the CLI These commands assume af is on PATH. Run via astro otto to get it automatically, or standalone with uv tool astro-airflow-mcp. Instance Configuration Manage multiple Airflow instances with persistent configuration: Config layout (mirrors git config system/global/local): | Scope | File | Committed? | |---|---|---| | Global | /.astro/config.yaml | n/a (per-user) | | Project shared | /.astro/config.yaml | yes | | Project local | /.astro/config.local.yaml | no (gitignored) | is found by walking up from cwd looking for .astro/.
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