Trigger Airflow DAG runs, diagnose failures, inspect logs, and apply fixes in iterative cycles.
npx skills add https://github.com/rory-data/copilot --skill testing-dags-rory-data
Please help me install this Agent Skill. Skill: testing-dags Source: https://github.com/rory-data/copilot/tree/main/skills/testing-dags Command: npx skills add https://github.com/rory-data/copilot --skill testing-dags-rory-data
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
Trigger a DAG run and wait for its completion, then iteratively diagnose and fix any issues.
High-intent search queries and answers about installing and using this skill.
Debug an Airflow DAG that fails during a pipeline run by triggering the DAG run, monitoring execution, inspecting failure logs to identify root causes, applying fixes, and repeating the test cycle until the pipeline succeeds.
Automate test and debug cycles for Airflow workflows using a phase-based approach that triggers DAG runs, diagnoses failures from logs, and applies fixes through guided iterations to resolve timeouts, upstream failures, and missing dependencies.
Yes, a configured Airflow environment is required to run iterative DAG testing. You also need the uvx/af command interface to trigger, monitor, diagnose, and log DAG runs throughout the debugging cycles.
Use iterative DAG debugging for multi-step testing requests like "test and debug" or "run the pipeline and troubleshoot issues." For simple test requests like "run dag," a standard airflow entrypoint handles it directly without the debug cycle.
During Airflow workflow testing, you can diagnose and fix common DAG issues such as execution timeouts, upstream task failures, missing dependencies, and configuration problems by inspecting logs and applying targeted fixes across multiple scenarios.
rory-dataAutomate Airflow DAG operations and health checks via CLI commands.
chiruu12Monitor production apps for errors and regressions after deployment.
RDEWAIUpdate Apache Airflow DAG files with incremental non-breaking edits and validation.
RDEWAIValidate Airflow DAG files for import errors and coding standards.
