testing-dags

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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".

1installs

Sourcenecatiarslan/airflow-vscode-extension

Added on2026-02-07

NPX Install

npx skill4agent add necatiarslan/airflow-vscode-extension testing-dags

SKILL.md Content

DAG Testing Skill

Use the Airflow VS Code extension tools to test, debug, and fix DAGs in iterative cycles.

First Action: Trigger the DAG

When the user asks to test a DAG, your first action should be:

```
trigger_dag_run
```
with the provided DAG ID and config

Do not do pre-flight checks unless the user asks for them.

Testing Workflow Overview

Trigger and monitor
If success, summarize
If failed, debug
Fix and retest

Phase 1: Trigger and Monitor

Trigger:
```
trigger_dag_run
```
Monitor:
- Use
```
get_dag_runs
```
  to check state
- If a specific run ID is known, use
```
get_dag_run_detail
```

Response Interpretation

Success: summarize duration and outcome
Failed: move to Phase 2
Running: ask whether to keep polling

Phase 2: Debug Failures

Use
```
analyse_dag_latest_run
```
for a full analysis of the latest run
If a specific run ID is known, use
```
get_dag_run_detail
```
If task logs are needed, open
```
go_to_dag_log_view
```

Phase 3: Fix and Retest

Apply fixes in the DAG or related systems
Re-trigger with
```
trigger_dag_run
```
Re-check with
```
get_dag_runs
```
or
```
get_dag_run_detail
```

Notes

Prefer
```
analyse_dag_latest_run
```
for fast triage
Use
```
get_dag_history
```
when comparing across days