How do I install the Airflow skill?

Run npx skillmds@latest add necatiarslan/airflow in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Airflow safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Airflow?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Airflow free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Airflow?

necatiarslan (@necatiarslan) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Airflow by necatiarslan — Agent Skill

Name: Airflow
Author: necatiarslan

File contents

Airflow Operations

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

Tool Quick Reference

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

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

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

Trigger and Monitor

Trigger: trigger_dag_run
Check status: get_dag_runs
Analyze if failed: analyse_dag_latest_run

Morning Health Check

Check server health: go_to_server_health_view
Check running DAGs: get_running_dags
Review recent failures: get_failed_runs

---name: airflowdescription: Manages Apache Airflow operations including listing, running, and debugging DAGs, viewing logs, and checking server status using the VS Code extension tools.---# Airflow OperationsUse the Airflow VS Code extension tools for all Airflow interactions. Avoid shell commands for Airflow operations.## Tool Quick Reference| 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 |## 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 Run1. 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 Monitor1. Trigger: `trigger_dag_run`2. Check status: `get_dag_runs`3. Analyze if failed: `analyse_dag_latest_run`### Morning Health Check1. Check server health: `go_to_server_health_view`2. Check running DAGs: `get_running_dags`3. Review recent failures: `get_failed_runs`

Frequently asked questions

Airflow