airflow-dag-generator

Quick Review

This skill is a template-like placeholder with minimal concrete implementation. The description is vague ('generate airflow dag generator operations') and doesn't clearly specify what the skill actually does beyond generic automation. Task knowledge is extremely limited—no concrete steps, code examples, or DAG generation logic are provided, only generic placeholders like 'step-by-step guidance' without actual steps. The structure is clear and well-organized with appropriate sections, which is the strongest dimension. Novelty is low-to-moderate; while Airflow DAG generation could be valuable, this implementation provides no actual DAG templates, parameter handling, or specialized logic that would distinguish it from a CLI agent simply reading Airflow documentation. To improve: add specific DAG generation patterns, concrete task examples (e.g., 'generate a DAG for daily ETL with retries'), actual Python code templates for common DAG structures, and clear parameters the skill accepts.