Conciseness

The body is largely efficient — tables, tight code, and a scope section that earns its tokens — but the opening N+1 concept walk-through ("One field returns a list of N rows... So 1 outer query plus N inner queries equals N+1") re-explains a pattern Claude knows, and the re-map/cartesian-explosion cautions are stated both inline and again in references/fixes.md. Not 5 because of these duplicated passages; not 3 since nearly everything else is load-bearing with no padding.

Actionability

Every step ships executable material: grep commands for detection, a parent/child mapping table, a six-row classification rubric, complete TypeScript for all three fixes, a jest call-count spy test, and the Prisma log constructor. Copy-paste ready and covering the common cases (Prisma, Apollo-style resolvers, graphql-parse-resolve-info), matching the fully-executable anchor. Not 4 because no step requires the reader to fill in missing detail.

Workflow Clarity

Steps 0–4 are clearly sequenced with a decision table for fix choice and an explicit validation gate in Step 4 ("A structural fix is not done until a test pins the call count") plus query-log interpretation for both outcomes. It falls short of the 5 anchor because there is no error-recovery feedback loop telling the reviewer what to re-examine when the count assertion still shows N calls after applying a fix.

Progressive Disclosure

The skill keeps core runnable code inline and clearly signals exactly two one-level-deep references — "[references/fixes.md](references/fixes.md)" for fix contracts and "[references/examples.md](references/examples.md)" for worked examples — both of which exist and contain the promised content without nesting further. Structure matches the clear-overview anchor; the only nit (slight inline/reference duplication) is a conciseness issue, not a navigation one.

Specificity

"find the fan-out, write a test that counts queries, and fix it with DataLoader batching, parent projection or selection-set prefetch" lists multiple concrete actions plus three named remediation techniques, matching the comprehensive-coverage anchor. It exceeds the 4 anchor ('several specific actions; minor gaps') because detection, verification, and fix are each named explicitly with no coverage gap.

Completeness

"Use whenever a GraphQL query fires one database query per item (N+1), a slow-query alert traces to GraphQL, or a PR adds a list resolver" explicitly answers 'when' with concrete triggers, and the action list explicitly answers 'what', matching the anchor for both clearly present. A 4 would require the 'when' to be less explicit than the three named trigger scenarios here.

Trigger Term Quality

Natural practitioner phrasings are covered with synonyms: "N+1", "one database query per item", "slow-query alert", "list resolver", "PR" — symptom-, code-, and workflow-shaped triggers a user would actually say. Not 4 because no commonly-used variation of the trigger vocabulary for this problem is missing.

Distinctiveness Conflict Risk

The niche (GraphQL N+1 remediation) is distinct and every trigger is GraphQL- or resolver-specific, so it would not fire for generic database-performance or caching skills. Minimal conflict risk, matching the clear-niche anchor rather than the 4 anchor's 'minor overlap risk'.