Lists multiple specific concrete actions: 'quick preset deployments', 'fully customized deployments (version/SKU/capacity/RAI policy)', 'capacity discovery across regions and projects'. These are detailed, actionable capabilities.

Clearly answers both what (unified deployment skill with routing, handles presets/custom/capacity discovery) AND when (explicit 'USE FOR:' clause with trigger terms, plus 'DO NOT USE FOR:' to prevent misuse). The explicit trigger guidance is comprehensive.

Excellent coverage of natural user terms: 'deploy model', 'deploy gpt', 'create deployment', 'set up model', 'provision model', 'find capacity', 'check model availability', 'where can I deploy', 'best region for model'. These match how users would naturally phrase requests.

Highly distinctive with clear boundaries. The 'DO NOT USE FOR:' section explicitly differentiates from listing deployments, deleting, agent creation, and project creation, directing to specific alternative tools. The Azure OpenAI focus creates a clear niche.

The skill is reasonably efficient but includes some redundancy (e.g., the routing table and flowchart convey similar information). The project selection and validation sections are thorough but could be tightened slightly.

Provides concrete, executable Azure CLI commands for model catalog and quota checks. The routing logic is explicit with clear decision criteria, and the confirmation step includes copy-paste ready output formats.

Excellent multi-step workflow with clear sequencing: intent detection → project selection → validation → deployment. Includes explicit validation checkpoints (model SKU support, quota availability) and a required confirmation step before any deployment.

Well-structured overview that routes to three sub-skills (preset, customize, capacity) with clear navigation. References are one level deep, clearly signaled in a table, and the main skill provides just enough context without duplicating sub-skill content.