Conciseness

The body is lean with no concept explanations Claude already knows — the Quick Reference table, routing workflow, and error-handling table all carry operational content, and concrete specifics like "exporter on port 19400" and "FB_USED/FB_FREE" are kept inline. The Host Capability Gate section has some redundant policy phrasing ("A governed Azure CLI tool alone does not establish these capabilities" / "The authorization requirements below still apply") that could be trimmed, keeping it below the every-token-earns-its-place anchor.

Actionability

As an instruction-only skill, the guidance is concrete: bind specific resources ("subscription, cluster, kube context, pool"), capture exact evidence, separate "container/host OOM from device-allocation failures" with named signals ("OOMKilled", "FB_USED/FB_FREE", port 19400), and route to four verified reference files that contain the executable az/kubectl commands. It stops short of fully copy-paste-ready commands in the body itself — those live one level deeper in the references — which is the minor gap versus the 5 anchor.

Workflow Clarity

The six-step workflow is clearly sequenced with routing to per-domain references, and the Error Handling table supplies explicit checkpoints ("Mark unconfirmed; request the owner/read", "Propose separately and wait for authorization") plus a reporting step that names evidence, confidence, and missing evidence. It lacks an explicit re-validate/fix feedback loop for contradictory evidence — the table says mark unconfirmed and request a read, but no re-check cycle — which keeps it below the 5 anchor.

Progressive Disclosure

SKILL.md is a concise overview that routes to all four existing reference files ([scheduling](references/gpu-scheduling.md), [observability](references/gpu-observability.md), [KAITO](references/kaito-workspaces.md), [scaling](references/gpu-cost-and-scaling.md)) with clearly labeled, one-level-deep links; the references themselves contain only external documentation links, no nested .md chains. Content is appropriately split and navigation is easy.

Specificity

"Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence" names the domain and action, and the trigger list enumerates concrete diagnostic scenarios ("'Insufficient nvidia.com/gpu'", "model-load OOM", "DCGM/VRAM", "KAITO Workspace not ready", "GPU autoscaling") plus named evidence types. This sits noticeably above the anchor that only names 1-2 generic actions, but below a 5 because the description centers on a single verb (diagnose) rather than listing multiple distinct actions.

Completeness

Both halves are explicit: the "what" ("Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence") and the "when" ("WHEN: 'Insufficient nvidia.com/gpu', GPU pod Pending, model-load OOM, DCGM/VRAM, KAITO Workspace not ready, or GPU autoscaling") with concrete trigger phrases. The explicit "DO NOT USE FOR" routing is beyond what the anchor requires.

Trigger Term Quality

Triggers like "GPU pod Pending", "model-load OOM", "KAITO Workspace not ready", and the literal error string "Insufficient nvidia.com/gpu" match exactly what an operator would paste during an incident. A few natural synonyms are missing (e.g., "CUDA out of memory", "device plugin", "GPU node not ready"), which keeps it just below the comprehensive-synonyms anchor.

Distinctiveness Conflict Risk

A clear niche (AKS GPU/KAITO Day-2 diagnosis) with an explicit exclusion list naming sibling skills ("setup (airunway-aks-setup), non-GPU incidents (aks-troubleshooting), standalone VM quota (azure-quotas), or generic cost"), which minimizes wrong-skill triggering. It is third-person voice with no first/second-person penalty applying.