airflow-dag-patterns
airflow-dag-patterns is a Data pipelines & ETL skill for AI agents, published by wshobson in the agents repository on GitHub. Skillspace rates airflow-dag-patterns D (68/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 39,622
Placed #5 of 6 in the judged category final for Data pipelines & ETL.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #5 of 6 in the judged category final for Data pipelines & ETL.
- Trigger
78 78 - Instructions
72 72 - Specificity
75 75 - Safety
70 70 - Disclosure
78 78 - Maintenance
60 60
A solid copy-pasteable DAG template and sensible do/don't list, but reads as generic best-practice boilerplate rather than hard-won specifics.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Also published in 1 other repo
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