CtrlK
BlogDocsLog inGet started
Tessl Logo

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.

94

1.35x
Quality

96%

Does it follow best practices?

Impact

88%

1.35x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-organized, actionable, and sequenced as a clear validated workflow that delegates heavy logic to bundled scripts. Its only weakness is mild verbosity in a few explanatory passages that could be trimmed without losing clarity.

DimensionReasoningScore

Conciseness

The body uses efficient tables and code blocks and avoids explaining concepts Claude already knows, but some prose in Phase 3.5 and the error-handling intro could be tightened. It is efficient with only minor over-explanation rather than noticeably padded, so it sits above the midpoint but not at the lean top anchor.

4 / 5

Actionability

It provides copy-paste-ready script invocations for both PowerShell and bash, concrete az CLI commands, and inline jq/PowerShell snippets for quota validation that cover the common cases fully.

5 / 5

Workflow Clarity

A clear five-phase read-only workflow with explicit validation (Phase 3.5 quota checks with ❌ marking), a confirm-before-deploy checkpoint, and an error-handling table with feedback loops for recovery.

5 / 5

Progressive Disclosure

SKILL.md is an overview that pushes bulk logic into four real on-disk script files referenced via a clear Scripts table and inline invocations, with one-level-deep links to related skills and no monolithic inline reference.

5 / 5

Total

19

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-structured description that clearly states concrete capabilities, provides extensive natural trigger terms, and includes explicit use/don't-use boundary guidance. It is concise yet comprehensive with minimal conflict risk.

DimensionReasoningScore

Specificity

"Discovers available Azure OpenAI model capacity across regions and projects", "Analyzes quota limits", "compares availability", and "recommends optimal deployment locations" list multiple concrete, domain-specific actions with comprehensive coverage.

5 / 5

Completeness

It explicitly states what the skill does (discovery, quota analysis, ranking) and when to use it via concrete USE FOR trigger phrases, plus explicit DO NOT USE FOR boundaries.

5 / 5

Trigger Term Quality

USE FOR includes natural phrases users would say ("find capacity", "check quota", "where can I deploy", "best region for capacity") plus synonyms and the technical term TPM, giving comprehensive coverage.

5 / 5

Distinctiveness Conflict Risk

Scoped tightly to Azure OpenAI capacity discovery with explicit DO NOT USE FOR exclusions (deployment, quota increases, listing deployments) that disambiguate it from preset, customize, and quota skills.

5 / 5

Total

20

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 10 suspicious

Warning

Total

15

/

16

Passed

Repository
microsoft/azure-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.