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.
Install with Tessl CLI
npx tessl i github:microsoft/github-copilot-for-azure --skill capacity92
Does it follow best practices?
Evaluation — 88%
↑ 1.35xAgent success when using this skill
Validation for skill structure
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 from related skills. The description uses proper third-person voice throughout.
| 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 to prevent misuse. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural user terms in the 'USE FOR' section: 'find capacity', 'check quota', 'where can I deploy', 'best region for capacity', 'quota analysis', 'model availability', 'check TPM availability'. These match how users would naturally phrase requests. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with clear niche: Azure OpenAI capacity discovery specifically. The 'DO NOT USE FOR' section explicitly distinguishes from deployment skills and quota management, reducing conflict risk with related skills. | 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 (especially Phase 3.5 for quota validation) demonstrates best practices for complex discovery operations. Minor verbosity in the 'When to Use' section and Quick Reference table could be trimmed, but overall the skill 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 mostly 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 tightened. | 2 / 3 |
Actionability | Provides fully executable commands with clear script references, specific parameter examples, and copy-paste ready code blocks for both PowerShell and bash. The workflow phases give concrete steps with actual commands. | 3 / 3 |
Workflow Clarity | Excellent multi-phase workflow with clear sequencing (Phases 1-5), explicit validation steps (Phase 3.5 for quota validation), and clear decision points with handoff instructions. Error handling table provides recovery paths. | 3 / 3 |
Progressive Disclosure | Well-structured overview with clear navigation to related skills (preset, customize, quota). Scripts are referenced by table rather than inline implementation. Content is appropriately split with one-level-deep references. | 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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