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customize

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

88

4.45x
Quality

85%

Does it follow best practices?

Impact

89%

4.45x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

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 an excellent skill description that covers all key dimensions thoroughly. It provides specific concrete actions, comprehensive trigger terms, explicit 'use when' and 'do not use when' guidance, and clear differentiation from related skills. The description is well-structured and uses appropriate third-person voice throughout.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: step-by-step selection of model version, SKU types (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy, and advanced options (dynamic quota, priority processing, spillover). Very detailed and actionable.

3 / 3

Completeness

Clearly answers both 'what' (interactive guided deployment flow for Azure OpenAI models with full customization control) and 'when' (explicit USE FOR and DO NOT USE FOR clauses with detailed trigger scenarios). The DO NOT USE FOR clause adds extra clarity for disambiguation.

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger terms including 'custom deployment', 'choose version', 'select SKU', 'set capacity', 'configure content filter', 'RAI policy', 'advanced deployment', 'PTU deployment', 'provisioned throughput'. These are terms users would naturally use when requesting this functionality.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche (custom/advanced Azure OpenAI deployment) and explicitly differentiates itself from a 'quick deployment to optimal region' skill via the DO NOT USE FOR clause, minimizing conflict risk.

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 overview skill with excellent workflow clarity and progressive disclosure — the 14-phase flow is clearly sequenced with validation checkpoints, and detailed implementation is properly delegated to reference files. However, the skill is somewhat verbose with redundant framing (comparison tables, checkbox lists) and lacks direct actionability since all executable commands are deferred to reference files, making the SKILL.md itself more of a navigation document than an actionable guide.

Suggestions

Trim the 'When to Use This Skill' section and comparison table — a single sentence distinguishing customize from preset is sufficient; Claude doesn't need checkbox-style feature lists.

Include at least the core deployment CLI command (Phase 13's `az cognitiveservices account deployment create` with key parameters) directly in the SKILL.md so it has some executable content without requiring the reference file.

DimensionReasoningScore

Conciseness

The content includes useful tables and structure but is verbose in places — the 'When to Use This Skill' section with checkmarks, the full comparison table between customize vs preset, and the Quick Reference table all add bulk that Claude doesn't need. The phase summaries table is reasonably efficient but the surrounding framing text could be tightened significantly.

2 / 3

Actionability

The skill provides some concrete CLI commands in troubleshooting and references specific az CLI commands in the phase table, but the actual implementation is deferred entirely to references/customize-workflow.md. The SKILL.md itself contains no executable deployment commands — the phase summaries describe *what* happens but not *how* to do it, making this a summary/overview rather than actionable guidance on its own.

2 / 3

Workflow Clarity

The 14-phase workflow is clearly sequenced with explicit validation checkpoints (Phase 7 validates capacity min/max/step, Phase 12 requires user review/approval before proceeding, capacity query failure blocks deployment). The cross-region fallback in Phase 7b provides error recovery, and the error handling table explicitly notes which issues are prevented by the workflow design.

3 / 3

Progressive Disclosure

The skill provides a clear overview with well-signaled one-level-deep references: the workflow details are in references/customize-workflow.md and SKU/advanced guides in references/customize-guides.md. The MUST READ callout clearly signals when to load the reference file, and the main content stays at summary level appropriately.

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.

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
jonathan-vella/azure-agentic-infraops
Reviewed

Table of Contents

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