Iterative test-debug-fix cycles for Airflow DAGs with comprehensive failure diagnosis.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add astronomer/agents --skill testing-dagsCompatible with
Supported agents
Start with af runs trigger-wait <dag_id> to run a DAG and wait for completion; no pre-flight checks needed
On failure, use af runs diagnose for comprehensive failure summary and af tasks logs to inspect error details from specific tasks
Supports custom configuration, timeouts, and retry attempts; handles success, failure, and timeout scenarios with clear response interpretation
Quick valida
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontesting-dagsExecute the skills CLI command in your project's root directory to begin installation:
epx add astronomer/agents --skill testing-dagsFetches testing-dags from astronomer/agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/testing-dags
Restart Cursor to activate testing-dags. Access via /testing-dagsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
airflow
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Useful defaults in testing-dags — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for testing-dags matched our evaluation — installs cleanly and behaves as described in the markdown.
testing-dags reduced setup friction for our internal harness; good balance of opinion and flexibility.
testing-dags is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: testing-dags is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added testing-dags from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
testing-dags has been reliable in day-to-day use. Documentation quality is above average for community skills.
testing-dags reduced setup friction for our internal harness; good balance of opinion and flexibility.
testing-dags fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added testing-dags from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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