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Expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios.
Passed 10 of 15 test cases with the skill, and 2 of 15 without it.
and 10 more in the full report
12 fixed3 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are deploying HPC infrastructure on Azure for training deep learning models, but we want to stick to traditional batch scheduling tools instead of managed PaaS. Find the implementation guide for running these workloads using CycleCloud and Slurm, and output the URL.
| Checked | Without skill | With skill |
|---|---|---|
| Mentions CycleCloud | Passed | Passed |
| Contains the exact URL segment ai-azure-infrastructure-implementation | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios. 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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 |
|---|---|---|
| Strategy | L37-L58 | Strategic planning for cloud and AI adoption: business cases, org-wide roadmaps, hybrid/multicloud, data and SAP/Oracle strategies, AVS/AVD benefits, security, resiliency, cost, and sustainability. |
| Planning | L59-L86 | Planning Azure cloud and AI adoption: migration waves, workload readiness, data/tech architecture, cost, skills, and roadmaps for AVD, VMware, Oracle, SAP, and cloud modernization. |
| Readiness & Landing Zones | L87-L187 | Designing, deploying, and operating Azure landing zones: network, identity, subscriptions, governance, automation/DevOps, multitenant setups, and specialized patterns for AI, AVD, SAP, Citrix, and Oracle. |
| Adoption Patterns | L188-L209 | Patterns and guidance for planning, building, migrating, and modernizing Azure solutions, including AI/ML, cloud-native apps, SAP, and Azure Virtual Desktop, with secure, resilient architectures. |
| Governance | L210-L243 | Designing and enforcing governance, security, compliance, tagging, and cost controls for Azure, AI, Fabric, Arc, and SAP workloads, including policies, tooling, and NIST/RAI-aligned frameworks |
| Security | L244-L271 | Designing secure Azure landing zones and AI workloads: identity/RBAC, network encryption, keys, DevOps security, Zero Trust, SAP/Oracle security, and ongoing security governance/operations. |
| Operations & Management | L272-L303 | Operating, monitoring, and optimizing Azure and hybrid workloads (AI, data, AKS, AVD, SAP, Oracle, Arc, VMware), including lifecycle, BCDR, automation, and management baselines. |
| Organization & Teams | L304-L323 | Designing org structures, roles, RACI, and team topologies (CoE, governance, ops, security, data, DevOps) to support Azure/cloud and AI adoption, operations, and cost-conscious transformation. |
| Adoption Scenarios | L324-L366 | Guidance for adopting Azure via real-world scenarios: AVD, Citrix, Arc-enabled Kubernetes/servers, Oracle, and SAP—covering landing zones, networking, security, BCDR, DevOps, and integration. |
test cases passed, vs 2 / 15 without
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