Guidelines for designing, implementing, and maintaining high-quality data models, ensuring data integrity, performance, and scalability.
4.9
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This skill provides well-structured guidelines for database design with clear architectural standards, naming conventions, and a quality checklist. The description accurately reflects the content. However, novelty is limited as these are standard best practices that a capable CLI agent could articulate with sufficient prompting. The skill would benefit from more concrete, executable artifacts (schema templates, validation scripts, or specific DDL generation logic) to justify being a reusable skill rather than general knowledge. The Airflow 3.x integration adds some specificity, but overall the content reads more as documentation than as a skill that meaningfully reduces token costs or enables capabilities beyond what an agent could derive independently.
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