airflow

Manages Apache Airflow operations including listing, running, and debugging DAGs, viewing logs, and checking server status using the VS Code extension tools.

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Install skill "airflow" with this command: npx skills add necatiarslan/airflow-vscode-extension/necatiarslan-airflow-vscode-extension-airflow

Airflow Operations

Use the Airflow VS Code extension tools for all Airflow interactions. Avoid shell commands for Airflow operations.

Tool Quick Reference

ToolPurpose
list_active_dagsList active (unpaused) DAGs
list_paused_dagsList paused DAGs
get_running_dagsShow running or queued DAG runs
pause_dagPause a DAG
unpause_dagUnpause a DAG
trigger_dag_runTrigger a DAG run
get_dag_runsList DAG runs for a DAG
get_dag_historyDaily run history for a DAG
get_failed_runsFailed runs across DAGs
analyse_dag_latest_runFull analysis of latest run (tasks, logs, source)
get_dag_run_detailFull analysis of a specific run
get_dag_source_codeRetrieve DAG source code
go_to_dag_viewOpen DAG view panel
go_to_dag_log_viewOpen log view panel
go_to_connections_viewOpen connections panel
go_to_variables_viewOpen variables panel
go_to_providers_viewOpen providers panel
go_to_configs_viewOpen configs panel
go_to_plugins_viewOpen plugins panel
go_to_server_health_viewOpen server health panel

User Intent Patterns

DAG Operations

  • "List all DAGs" -> list_active_dags and list_paused_dags
  • "Show DAG source" -> get_dag_source_code
  • "Pause DAG X" -> pause_dag
  • "Resume DAG X" -> unpause_dag

Run Operations

  • "Trigger DAG X" -> trigger_dag_run
  • "Show recent runs" -> get_dag_runs
  • "Why did this fail?" -> analyse_dag_latest_run or get_dag_run_detail

Logs and Troubleshooting

  • "Show logs for task" -> go_to_dag_log_view or analyse_dag_latest_run
  • "Analyze latest run" -> analyse_dag_latest_run

System and Config

  • "Show connections" -> go_to_connections_view
  • "Show variables" -> go_to_variables_view
  • "Check server health" -> go_to_server_health_view

Common Workflows

Investigate a Failed Run

  1. Find failures: get_failed_runs
  2. Analyze latest run: analyse_dag_latest_run
  3. If a specific run ID is known: get_dag_run_detail
  4. Open logs if needed: go_to_dag_log_view

Trigger and Monitor

  1. Trigger: trigger_dag_run
  2. Check status: get_dag_runs
  3. Analyze if failed: analyse_dag_latest_run

Morning Health Check

  1. Check server health: go_to_server_health_view
  2. Check running DAGs: get_running_dags
  3. Review recent failures: get_failed_runs

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