Manages Apache Airflow workflows by listing, triggering, and debugging DAGs and tasks directly through Claude.
This skill integrates Apache Airflow management directly into the Claude interface, allowing data engineers to interact with their pipelines seamlessly. It provides a comprehensive suite of tools to explore DAG source code, monitor system health, and diagnose failed runs without context-switching. By utilizing the 'af' command suite, users can manage variables, check task logs, and control workflow execution across multiple instances from local development to production environments.
Características Principales
01Real-time task log retrieval with support for retries and mapped task indexes
0277 GitHub stars
03Advanced run diagnostics to quickly identify and resolve pipeline failures
04Comprehensive DAG management including listing, pausing, and triggering workflows
05System-wide health monitoring for connections, variables, and resource pools
06Multi-instance support for switching between production, staging, and local environments
Casos de Uso
01Troubleshooting failed production pipelines by analyzing task logs and run diagnostics
02Performing daily system health checks across multiple Airflow environments
03Triggering and monitoring long-running data workflows with automated status updates
