Individual skill
testing-dags
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". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
skills/testing-dags/SKILL.md
Source commit 35b9610bb2710c37ca11326c4cbf7818b6725fec
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- Matches the observed repository HEAD
- Yes
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- Yes
- Repository scan complete
- No
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- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 10, 2026
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Repository context
- Repository stars (not skill ratings)
- 459
- Repository last updated
- Nov 2, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agents Repository topic
- ai Repository topic
- airflow Repository topic
- data-engineering Repository topic
- mcp Repository topic
- skills Repository topic
- claude Repository topic
- cursor Repository topic
- apache-airflow Repository topic
- agentic-workflow Repository topic
- testing Derived category
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Read excerpt
# DAG Testing Skill
Use `af` commands to test, debug, and fix DAGs in iterative cycles.
## Running the CLI
These commands assume `af` is on PATH. Run via `astro otto` to get it automatically, or install standalone with `uv tool install astro-airflow-mcp`.
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## Quick Validation with Astro CLI
If the user has the Astro CLI available, these commands provide fast feedback without needing a running Airflow instance:
