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Get Started Free →Expert knowledge for Azure Nutanix development including decision making. Use when selecting NC2 on Azure regions, VM SKUs, and planning capacity, performance, availability, or cost, and other Azure Nutanix related development tasks. Not for Azure VMware Solution (use azure-vmware-solution), Azure Baremetal Infrastructure (use azure-baremetal-infrastructure), Azure Virtual Machines (use azure-virtual-machines), Azure Stack Edge (use azure-stack-edge).
.claude/skills/microsoftdocs-azure-nutanix/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | -69% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 1% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 5% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -53% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -36% | 0% |
This skill provides expert guidance for Azure Nutanix. Covers decision making. It combines local quick-reference content with remote documentation fetching capabilities.
> IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file
> IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Lines | Description | |----------|-------|-------------| | Decision Making | L29-L32 | Guidance on choosing NC2 on Azure regions and VM SKUs, including capacity, performance, availability, and cost considerations for deployment planning. |
| Topic | URL | |-------|-----| | Select NC2 on Azure regions and SKUs | https://learn.microsoft.com/en-us/azure/nutanix/available-regions-skus |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 47,479 | 11,354 | -76% | 1 | 1 | 0% | 6,037 | 795 | -87% | 0 | 0 | — |
case-02 | fail→fail | 22,210 | 12,513 | -44% | 1 | 1 | 0% | 3,311 | 923 | -72% | 0 | 0 | — |
case-17 | fail→pass | 16,508 | 7,056 | -57% | 1 | 1 | 0% | 2,387 | 734 | -69% | 0 | 0 | — |
case-03 | fail→fail | 18,340 | 11,363 | -38% | 1 | 1 | 0% | 2,008 | 742 | -63% | 0 | 0 | — |
case-04 | fail→pass | 13,892 | 19,566 | +41% | 1 | 1 | 0% | 2,153 | 2,171 | +1% | 0 | 0 | — |
case-05 | fail→fail | 14,929 | 11,812 | -21% | 1 | 1 | 0% | 2,404 | 839 | -65% | 0 | 0 | — |
case-06 | fail→pass | 16,814 | 16,601 | -1% | 1 | 1 | 0% | 2,032 | 2,127 | +5% | 0 | 0 | — |
case-07 | fail→fail | 11,986 | 20,201 | +69% | 1 | 1 | 0% | 1,901 | 915 | -52% | 0 | 0 | — |
case-08 | fail→fail | 22,265 | 8,407 | -62% | 1 | 1 | 0% | 2,367 | 966 | -59% | 0 | 0 | — |
case-09 | fail→fail | 18,604 | 9,967 | -46% | 1 | 1 | 0% | 2,210 | 870 | -61% | 0 | 0 | — |
case-10 | fail→pass | 14,840 | 2,263 | -85% | 1 | 1 | 0% | 1,717 | 800 | -53% | 0 | 0 | — |
case-11 | fail→pass | 16,336 | 18,999 | +16% | 1 | 1 | 0% | 1,371 | 883 | -36% | 0 | 0 | — |
case-12 | fail→fail | 20,233 | 14,076 | -30% | 1 | 1 | 0% | 2,104 | 878 | -58% | 0 | 0 | — |
case-13 | fail→fail | 14,624 | 17,276 | +18% | 1 | 1 | 0% | 2,438 | 871 | -64% | 0 | 0 | — |
case-14 | fail→pass | 17,407 | 9,196 | -47% | 1 | 1 | 0% | 1,713 | 1,134 | -34% | 0 | 0 | — |
case-15 | fail→pass | 13,228 | 24,579 | +86% | 1 | 1 | 0% | 2,286 | 2,059 | -10% | 0 | 0 | — |
case-16 | fail→pass | 17,347 | 11,980 | -31% | 1 | 1 | 0% | 2,250 | 1,450 | -36% | 0 | 0 | — |
case-18 | fail→pass | 9,425 | 12,253 | +30% | 1 | 1 | 0% | 1,578 | 1,403 | -11% | 0 | 0 | — |
case-19 | fail→pass | 13,048 | 7,040 | -46% | 1 | 1 | 0% | 1,094 | 742 | -32% | 0 | 0 | — |
case-20 | pass→pass | 16,159 | 19,295 | +19% | 1 | 1 | 0% | 3,037 | 3,112 | +2% | 0 | 0 | — |
case-21 | pass→pass | 19,187 | 9,550 | -50% | 1 | 1 | 0% | 2,460 | 1,990 | -19% | 0 | 0 | — |
case-22 | pass→pass | 13,700 | 10,638 | -22% | 1 | 1 | 0% | 2,403 | 2,302 | -4% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 13 counted toward the lift figure. The other 9 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +45 percentage points is the difference between those two pass rates over the 13 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.