graphql-query-optimizer

Quick Review

The skill addresses a valuable backend optimization task (GraphQL performance). The description and workflow provide a reasonable overview of inputs and steps, making it moderately clear when to invoke this skill. However, taskKnowledge is limited—while it lists high-level strategies (batching, caching, pagination), it lacks concrete implementation guidance, code examples, or detailed analysis techniques for identifying N+1 queries or measuring impact. The structure is clean and appropriate for the current scope. Novelty is moderate: GraphQL optimization is specialized enough that a generic CLI agent would struggle with resolver-specific performance patterns, but the skill as described doesn't demonstrate deep complexity or unique methodology that would dramatically reduce token costs. To improve, add concrete examples of resolver optimization, dataloader patterns, query complexity analysis algorithms, or referenced implementation scripts.