airflow-dag-patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
83
1.01x
Quality
75%
Does it follow best practices?
Impact
96%
1.01xAverage score across 3 eval scenarios
Securityby
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./docs/v19.7/configuration/agent/skills_external/antigravity-awesome-skills-main/skills/airflow-dag-patterns/SKILL.mdPreview
This is a new way to view eval results. We're still working on it, so the layout may change.
| Run | Type | Date | Status |
|---|---|---|---|
baseline vs usage-spec With / without contextCompleted | With / without context | Completed |
Eval run
019cc598-6aab-7359-bffa-6e5081c7221b
Run
Stats are not available yet
The run is available. Its result stats will appear here when they are ready.
- Repository
- duclm1x1/Dive-Ai
- Commit
20ba150
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.