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).
85
78%
Does it follow best practices?
Impact
96%
4.17xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugin/skills/microsoft-foundry/models/deploy-model/preset/SKILL.mdQuality
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 capabilities, comprehensive trigger terms, explicit use/don't-use guidance, and clear boundaries against related skills. The DO NOT USE FOR clause is particularly effective at reducing conflict risk with the companion 'customize' skill.
| 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 to optimal regions by analyzing capacity) and 'when' (explicit USE FOR and DO NOT USE FOR clauses with specific trigger scenarios and boundary conditions). | 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'. Also includes negative triggers to reduce false matches. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with explicit DO NOT USE FOR clauses that delineate boundaries against a 'customize' skill. The focus on automatic/optimal region selection creates a clear niche distinct from manual configuration skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is well-organized with good progressive disclosure and a clear two-path workflow structure. Its main weaknesses are incomplete actionability (key commands are fragments or deferred to reference files) and missing validation checkpoints in the deployment workflow. The content could be tightened by removing the redundant 'What This Skill Does' section that duplicates the Quick Workflow.
Suggestions
Add explicit validation checkpoints in the workflow, e.g., 'Verify deployment status shows Succeeded before proceeding' with the exact `az cognitiveservices account deployment show` command and expected output.
Provide complete, executable command examples for the core deployment path rather than fragments like `az rest --method GET .../modelCapacities`—include full URLs with placeholder variables.
Remove or merge the 'What This Skill Does' numbered list into the Quick Workflow section to eliminate redundancy and improve conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably structured but includes some unnecessary verbosity—the 'What This Skill Does' section largely duplicates the Quick Workflow section, and the deployment phases table repeats information. The Notes section and some explanatory text could be tightened. | 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—many commands are fragments (e.g., `az rest --method GET .../modelCapacities`) and the main deployment flow defers to a reference file rather than providing executable steps inline. | 2 / 3 |
Workflow Clarity | The two workflow paths (fast path and alternative region path) are clearly diagrammed, and the phases table provides good sequencing. However, there are no explicit validation checkpoints or feedback loops—no 'verify deployment succeeded before proceeding' step, and the workflow defers detailed steps to a reference file without inline validation gates. | 2 / 3 |
Progressive Disclosure | The skill provides a clear overview with well-organized sections (Quick Workflow, Deployment Phases, Error Handling, Advanced Usage) and appropriately references detailed workflow steps in a separate file. Related skills are clearly linked with one-level-deep references. | 3 / 3 |
Total | 9 / 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/github-copilot-for-azure
- Commit
63993df
- Reviewed
Table of Contents
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