Trigger Airflow DAG runs and wait for completion to determine success or failure.
npx skills add https://github.com/miptah21/skills --skill testing-dags-miptah21
Please help me install this Agent Skill. Skill: testing-dags Source: https://github.com/miptah21/skills/tree/main/.agents/skills/testing-dags Command: npx skills add https://github.com/miptah21/skills --skill testing-dags-miptah21
Testing Airflow DAGs often fails late and wastes time on slow, manual troubleshooting; this skill helps you run a DAG, capture the failure context, and iteratively fix issues until the pipeline succeeds.
Use case example: You deploy changes to a dbt/SQL-based Airflow DAG and it fails on a specific task; trigger the DAG, inspect logs for the failed task instance, apply the fix, and retest.
Ask the agent to test the DAG end-to-end by triggering and waiting for its completion using the Airflow entrypoint command, then debug only if it fails.
High-intent search queries and answers about installing and using this skill.
To trigger an Airflow DAG and wait for completion, use the `af runs trigger-wait` command to start a DAG run and monitor it until it finishes, returning a success or failure state for validation.
Debug a failed Airflow DAG task by running `af runs diagnose` to retrieve run diagnostics, then use `af tasks logs` to inspect the specific task instance logs and identify the root cause of the pipeline failure.
The best way to run an iterative fix-and-retest loop for Airflow pipelines is to trigger the DAG, inspect task logs on failure, apply a fix, and rerun the same minimal workflow repeatedly until the multi-step pipeline succeeds.
Yes, you can retrieve retry attempt logs for failed tasks in Airflow by using the targeted failure debugging workflow, which captures run diagnostics and extracts specific task instance logs including retry attempts.
Testing multi-step Airflow pipelines fails late due to slow manual troubleshooting; diagnose it by triggering a DAG run, waiting for completion, and extracting run diagnostics and task logs to pinpoint the exact failure context.
minyeamerAuthor and validate Apache Airflow DAGs using a discovery-plan-implement-validate-test workflow.
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