Conciseness

The body is dense and operational ('Plain model strings route through AI Gateway. Add `@ai-sdk/gateway` only when the task needs...') and assumes Claude's competence, but the verify-from-current-sources instruction recurs across the intro, 'Start with current sources', and the CLI section, and the 13-link documentation list could be trimmed. This sits above anchor 3 (mostly efficient) but short of anchor 5's 'every token earns its place'.

Actionability

Fully executable guidance throughout: 'curl -fsSL https://ai-gateway.vercel.sh/v1/models', a complete TypeScript example with an env-var guard, exact baseURL values per SDK ('point `baseURL`... to `https://ai-gateway.vercel.sh/v1`'), and a concrete CLI subcommand table. Copy-paste ready commands cover the common cases, matching the anchor-5 example.

Workflow Clarity

The 9-step 'Implementation workflow' has explicit validation checkpoints ('Run the project's formatter, type checker, and focused tests', 'Verify the request in AI Gateway Logs'), enumerated error outcomes, and authorization gating for outward-facing actions, reinforced by a 9-item 'Verification checklist'. This matches anchor 5's sequence-plus-validation-plus-checklist pattern, and the destructive/batch cap does not apply since validation is present.

Progressive Disclosure

The SKILL.md is a clear overview with a job-to-reference routing table ('Route the request to the right guide'); all six cited files exist in references/, are one level deep with only sibling cross-links, and detail is appropriately split (main file 293 lines vs. 91-296 line references). This matches anchor 5's 'clear overview with well-signaled one-level-deep references'.

Specificity

The first sentence enumerates twelve concrete capability areas ('setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability...') and the trigger clause adds seven concrete actions ('adding AI Gateway to an app, migrating provider calls... debugging gateway requests, or running `vercel ai-gateway` commands'). It falls short of anchor 5 because the capability list is topic nouns under 'guidance for' rather than the verb-driven action list of the anchor-5 example, but is well above anchor 3's 1-2 actions.

Completeness

Both halves are explicit: a clear what ('Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks...') followed by an explicit 'Use when adding AI Gateway to an app, migrating provider calls, choosing models or providers... or running `vercel ai-gateway` commands' with concrete triggers. This mirrors the anchor-5 example's structure exactly; anchor 4's weaker 'when' does not apply.

Trigger Term Quality

Good natural-term coverage: 'AI Gateway', 'virtual models', 'BYOK', 'budgets', 'spend reporting', 'fallbacks', and the CLI invocation 'vercel ai-gateway commands'. A few natural synonyms users might say are missing (e.g., 'failover', 'credits', 'model router'), so it does not reach anchor 5's comprehensive synonym-and-extension coverage.

Distinctiveness Conflict Risk

The description is anchored to a specific named product with distinct product terms (virtual models, BYOK, gateway budgets), giving it a clear niche. Minor overlap risk remains with a closely related AI SDK skill via generic phrases like 'choosing models or providers' and 'migrating provider calls', which matches anchor 4 rather than anchor 5's minimal conflict risk.