capacity
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
92
Quality
92%
Does it follow best practices?
Impact
88%
1.35xAverage score across 3 eval scenarios
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 hits all the marks. It provides specific capabilities, comprehensive trigger terms that match natural user language, explicit 'USE FOR' and 'DO NOT USE FOR' clauses that clearly define scope, and strong distinctiveness through its narrow focus on Azure OpenAI capacity discovery rather than deployment or quota management.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Discovers available Azure OpenAI model capacity', 'Analyzes quota limits', 'compares availability', 'recommends optimal deployment locations'. These are clear, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what (discovers capacity, analyzes quotas, compares availability, recommends locations) AND when (explicit 'USE FOR' clause with trigger scenarios). Also includes helpful 'DO NOT USE FOR' boundaries. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'find capacity', 'check quota', 'where can I deploy', 'best region for capacity', 'check TPM availability'. These match how users naturally phrase capacity-related questions. | 3 / 3 |
Distinctiveness Conflict Risk | Very clear niche focused specifically on Azure OpenAI capacity discovery. The 'DO NOT USE FOR' section explicitly distinguishes it from deployment skills and quota management, reducing conflict risk significantly. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
85%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 excellent workflow clarity and actionability. The multi-phase approach with explicit validation checkpoints and clear handoff points demonstrates good design. Minor verbosity in the 'When to Use' section and Quick Reference table could be trimmed, but overall the content is effective and well-organized.
Suggestions
Remove or condense the 'When to Use This Skill' checklist section - Claude can infer appropriate usage from the description and workflow
Consider merging the Quick Reference table into the opening paragraph to reduce redundancy
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary elements like the 'When to Use This Skill' section with checkmarks (Claude can infer this from context) and the Quick Reference table duplicates information found elsewhere. The workflow is clear but could be tighter. | 2 / 3 |
Actionability | Provides fully executable commands with clear script paths, specific parameters, and concrete examples. The PowerShell and bash alternatives are copy-paste ready, and the quota validation code shows exact patterns for extracting and processing data. | 3 / 3 |
Workflow Clarity | Excellent multi-phase workflow with clear sequencing (Phases 1-5), explicit validation steps (Phase 3.5 for quota validation), and a decision tree at Phase 4 for next actions. Error handling table provides clear resolution paths for common failures. | 3 / 3 |
Progressive Disclosure | Well-structured with clear sections and appropriate cross-references to related skills (preset, customize, quota). References are one level deep and clearly signaled with relative paths. The script table provides quick navigation to detailed implementations. | 3 / 3 |
Total | 11 / 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.
- Reviewed
Table of Contents
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