preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
89
85%
Does it follow best practices?
Impact
96%
4.17xAverage score across 3 eval scenarios
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that excels across all dimensions. It provides specific concrete actions, comprehensive trigger terms covering natural user language, explicit 'USE FOR' and 'DO NOT USE FOR' clauses that clearly answer both what and when, and excellent distinctiveness through boundary definitions against related skills. The description is well-structured and informative without being unnecessarily verbose.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: deploys Azure OpenAI models, analyzes capacity across regions, checks current region first, shows alternatives. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both 'what' (deploys Azure OpenAI models by analyzing capacity across regions) and 'when' (explicit USE FOR and DO NOT USE FOR clauses with specific trigger scenarios and boundary conditions differentiating from the 'customize' skill). | 3 / 3 |
Trigger Term Quality | Includes strong natural trigger terms users would say: 'quick deployment', 'optimal region', 'best region', 'automatic region selection', 'fast setup', 'multi-region capacity check', 'high availability deployment', 'deploy to best location'. Good coverage of variations. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with explicit DO NOT USE FOR clauses that delineate boundaries against a related 'customize' skill. The focus on automatic/optimal region selection creates a clear niche distinct from custom configuration tasks. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
70%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a well-structured skill with clear workflow paths and good progressive disclosure, effectively separating overview from detailed reference material. Its main weaknesses are some content redundancy between the 'What This Skill Does' list and the workflow diagrams, and incomplete actionability since core commands are abbreviated or delegated rather than fully executable inline. The error handling table is a strong addition that adds practical value.
Suggestions
Remove the 'What This Skill Does' numbered list since it duplicates the Quick Workflow and Deployment Phases sections, improving conciseness.
Provide at least one complete, copy-paste-ready example of the full capacity check API call (with full URL pattern) rather than abbreviating it as `.../modelCapacities`.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably structured but includes some unnecessary verbosity—the 'What This Skill Does' section largely duplicates the workflow diagrams, and the deployment phases table repeats information found in the quick workflow section. The notes and related skills sections are lean, but overall there's redundancy. | 2 / 3 |
Actionability | The skill provides specific Azure CLI commands in the phases table and error handling section, and the Advanced Usage section has executable commands. However, the core workflow lacks complete, copy-paste-ready command sequences—key commands like the capacity API call are abbreviated (`.../modelCapacities`), and the main deployment flow delegates to a reference file rather than providing inline executable steps. | 2 / 3 |
Workflow Clarity | The workflow is clearly sequenced with two distinct paths (fast path and alternative region path), a well-structured phases table, and comprehensive error handling with specific symptoms and resolutions. The branching logic based on capacity availability is explicit and easy to follow. | 3 / 3 |
Progressive Disclosure | The skill provides a clear overview with quick workflow diagrams, a summary phases table, and appropriately delegates detailed step-by-step instructions to a reference file. Cross-references to related skills (quota, parent skill) are well-signaled and one level deep. | 3 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
- Repository
- microsoft/azure-skills
- Commit
9d594ab
- Reviewed
Table of Contents
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