Conciseness

The body is efficient: terse tables for deployment phases and error handling, no explanations of concepts Claude already knows, and details correctly deferred to references/workflow.md. Minor instances could be trimmed (the Advanced Usage delete command and the Related Skills list are peripheral), placing it at anchor 4 rather than anchor 5's every-token-earns-its-place.

Actionability

Mostly executable guidance with concrete az commands per phase ('az account show', 'az cognitiveservices account list-models', 'az cognitiveservices account deployment create'), but some are elided ('az rest --method GET .../modelCapacities', 'deployment create ... --sku-capacity <value>') and require the workflow reference for full argument lists. Fits anchor 4 (minor gaps) rather than anchor 5 (copy-paste ready in the skill itself).

Workflow Clarity

Clear sequencing: a 7-step overview, a two-path Quick Workflow (fast path vs alternative-region path), a phase table, and an error-to-resolution table that provides recovery loops; auth is verified first. Minor validation gaps remain — post-deployment success criteria and the capacity-check exit condition are only implicit in the body — matching anchor 4. The guideline's cap of 3 for destructive/batch operations does not apply since deployment creation is non-destructive.

Progressive Disclosure

Good structure overall with a clearly signaled one-level reference ('For detailed step-by-step instructions, see [workflow reference](references/workflow.md)'), which is a real file. However, scoring against the actual bundle: references/preset-workflow.md (694 lines) is never referenced from SKILL.md and duplicates the workflow reference's content, an orphaned bundle file that creates a navigation gap, holding this at anchor 4 rather than anchor 5.

Specificity

Lists several concrete actions in third person — 'deploys Azure OpenAI models to optimal regions', 'analyzing capacity across all available regions', 'Automatically checks current region first', 'shows alternatives if needed' — with minor gaps (SKU choice, capacity calculation details omitted) and the mild buzzword 'Intelligently'. It exceeds anchor 3 (only 1-2 concrete actions) but does not fully meet anchor 5's comprehensive coverage.

Completeness

Explicitly answers both 'what' (deploys Azure OpenAI models to optimal regions by analyzing capacity across all regions) and 'when' with a concrete 'USE FOR:' trigger list plus 'DO NOT USE FOR' boundaries redirecting to the customize skill. This matches anchor 5 exactly; the explicit trigger clause satisfies the guideline that its absence would cap completeness at 3.

Trigger Term Quality

The USE FOR list provides good natural-term coverage with synonyms — 'quick deployment', 'optimal region', 'best region', 'fast setup', 'deploy to best location', 'multi-region capacity check' — but misses common phrasings users would say like 'which region has capacity/quota' or 'where should I deploy'. Fits anchor 4 rather than anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

Clear niche (Azure OpenAI capacity-aware region selection for deployment) with distinct triggers, and the DO NOT USE list explicitly routes the nearest-neighbor scenarios (custom SKU, version, capacity, PTU) to the customize skill, minimizing conflict risk. Matches anchor 5.