菜单
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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基于 SOC 职业分类
| name | airflow |
| description | Manages Apache Airflow operations including listing, running, and debugging DAGs, viewing logs, and checking server status using the VS Code extension tools. |
Use the Airflow VS Code extension tools for all Airflow interactions. Avoid shell commands for Airflow operations.
| Tool | Purpose |
|---|---|
list_active_dags | List active (unpaused) DAGs |
list_paused_dags | List paused DAGs |
get_running_dags | Show running or queued DAG runs |
pause_dag | Pause a DAG |
unpause_dag | Unpause a DAG |
trigger_dag_run | Trigger a DAG run |
get_dag_runs | List DAG runs for a DAG |
get_dag_history | Daily run history for a DAG |
get_failed_runs | Failed runs across DAGs |
analyse_dag_latest_run | Full analysis of latest run (tasks, logs, source) |
get_dag_run_detail | Full analysis of a specific run |
get_dag_source_code | Retrieve DAG source code |
go_to_dag_view | Open DAG view panel |
go_to_dag_log_view | Open log view panel |
go_to_connections_view | Open connections panel |
go_to_variables_view | Open variables panel |
go_to_providers_view | Open providers panel |
go_to_configs_view | Open configs panel |
go_to_plugins_view | Open plugins panel |
go_to_server_health_view | Open server health panel |
list_active_dags and list_paused_dagsget_dag_source_codepause_dagunpause_dagtrigger_dag_runget_dag_runsanalyse_dag_latest_run or get_dag_run_detailgo_to_dag_log_view or analyse_dag_latest_runanalyse_dag_latest_rungo_to_connections_viewgo_to_variables_viewgo_to_server_health_viewget_failed_runsanalyse_dag_latest_runget_dag_run_detailgo_to_dag_log_viewtrigger_dag_runget_dag_runsanalyse_dag_latest_rungo_to_server_health_viewget_running_dagsget_failed_runsMap downstream lineage and blast radius for Airflow data assets. Use when the user needs to know which DAGs, tables, dashboards, or models depend on a dataset and what could break after a change.
Use when the user needs human-in-the-loop workflows in Airflow (approval/reject, form input, or human-driven branching). Covers ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator. Requires Airflow 3.1+.
Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
Workflow and best practices for writing Apache Airflow DAGs. Use when the user wants to create a new DAG, write pipeline code, or asks about DAG patterns and conventions. For testing and debugging DAGs, see the testing-dags skill.
Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline" or "full root cause analysis".