managing-database-partitions

Quick Review

This skill addresses database partitioning, a legitimately complex task where AI assistance provides value (novelty: 4). However, the SKILL.md is almost entirely generic boilerplate with minimal database partitioning specifics. The description mentions 'partition tables' and 'table partitioning strategies' but the content lacks concrete guidance on partition types (range, list, hash), partition key selection, rebalancing strategies, or database-specific syntax (despite allowing psql, mysql, mongosh tools). The 5-step process (Assess, Design, Implement, Validate, Deploy) applies to any infrastructure task but provides no partitioning-specific knowledge. The structure is clean and well-organized (structure: 4), but descriptionCoverage (3) and taskKnowledge (2) are weak because an agent would struggle to actually implement partitioning from this document alone—it reads more like a project management template than a technical partitioning guide. To improve: add partition strategy decision trees, concrete SQL/NoSQL examples, partition maintenance procedures, and performance benchmarking specific to partitioning scenarios.