analyzing-query-performance

Quick Review

This skill addresses query performance optimization with a reasonable generic framework but suffers from significant weaknesses. The description is too vague ('work with query optimization') for precise invocation. The SKILL.md is almost entirely generic boilerplate—the 5-step implementation process, error handling, and resource sections could apply to any backend task and lack query-specific guidance. However, the presence of specialized scripts (explain_plan_parser.py, index_advisor.py, query_rewriter.py) and database tool access (psql, mysql, mongosh) suggest substantive task knowledge exists in referenced files. Structure is adequate with scripts organized separately. Novelty is moderate: while query optimization is valuable and could save tokens versus manual analysis, the skill as documented doesn't demonstrate unique complexity—the generic content doesn't showcase advanced algorithms or multi-database optimization strategies that would significantly differentiate it from basic CLI usage.