From azure-agent-skills
Provides expert guidance for Azure Confidential Computing: decision making, architecture, design patterns, limits, quotas, security, configuration, integrations, coding patterns, and deployment. Use when building SGX/SEV-SNP apps, AKS confidential containers, SKR/Key Vault flows, vTPM/CVMs, or Fortanix CCM.
How this skill is triggered — by the user, by Claude, or both
Slash command
/azure-agent-skills:azure-confidential-computingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides expert guidance for Azure Confidential Computing. Covers decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
This skill provides expert guidance for Azure Confidential Computing. Covers decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. 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 |
|---|---|---|
| Decision Making | L35-L46 | Guidance on choosing Azure confidential computing options: VMs (AMD/Intel), containers, GPUs, deployment models, capabilities, products, and use cases for secure workloads. |
| Architecture & Design Patterns | L47-L56 | Architectural patterns and design guidance for using Azure confidential VMs, SGX enclaves, AKS, and multi-party analytics to build secure AI and containerized workloads. |
| Limits & Quotas | L57-L62 | Intel SGX capacity, quotas, and sizing for Azure confidential computing: AKS confidential node limits, SGX VM sizing guidance, and FAQ on SGX resource constraints. |
| Security | L63-L78 | Security, attestation, and key/secrets management for Azure confidential workloads: SGX enclaves, CVMs, vTPM, AKS confidential containers, clean rooms, and hardening Linux images. |
| Configuration | L79-L90 | Configuring and deploying Azure confidential VMs and containers (AKS SGX, VMMD blob, CMK rotation, ARM/CLI), plus Secure Key Release policies and Virtual Machine Metablob Disk usage. |
| Integrations & Coding Patterns | L91-L101 | Coding patterns and samples for building, running, and attesting Intel SGX/AMD SEV-SNP confidential apps and containers, including SKR flows, tools, and Fortanix/Key Vault integrations. |
| Deployment | L102-L110 | How to deploy and migrate Azure confidential VMs/VMSS and AKS (SGX and confidential node pools), create custom images, and set up Fortanix CCM using CLI and ARM templates. |
| Topic | URL |
|---|---|
| Apply confidential computing to AI workloads on Azure | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-ai |
| Design solutions with Azure confidential computing options | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-computing-solutions |
| Use SGX enclave nodes in AKS workloads | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-nodes-aks-overview |
| Design enclave-aware container applications on AKS | https://learn.microsoft.com/en-us/azure/confidential-computing/enclave-aware-containers |
| Understand Azure confidential VM guest attestation design | https://learn.microsoft.com/en-us/azure/confidential-computing/guest-attestation-confidential-virtual-machines-design |
| Architect multi-party analytics on Azure confidential computing | https://learn.microsoft.com/en-us/azure/confidential-computing/multi-party-data |
| Topic | URL |
|---|---|
| AKS confidential nodes Intel SGX capacity details | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-nodes-aks-faq |
| Deploy and size Intel SGX VMs on Azure | https://learn.microsoft.com/en-us/azure/confidential-computing/virtual-machine-solutions-sgx |
| Topic | URL |
|---|---|
| Deploy AKS cluster with SGX enclave nodes via CLI | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-enclave-nodes-aks-get-started |
| Use confidential VM node pools in AKS | https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-node-pool-aks |
| Create custom images for Azure confidential VMs with CLI | https://learn.microsoft.com/en-us/azure/confidential-computing/how-to-create-custom-image-confidential-vm |
| Deploy Fortanix CCM as Azure managed app | https://learn.microsoft.com/en-us/azure/confidential-computing/how-to-fortanix-confidential-computing-manager |
| Migrate nested Azure confidential VMs across regions | https://learn.microsoft.com/en-us/azure/confidential-computing/migrate-nested-confidential-vms |
| Deploy VM scale sets with hardened Linux images | https://learn.microsoft.com/en-us/azure/confidential-computing/vmss-deployment-from-hardened-linux-image |
npx claudepluginhub microsoftdocs/agent-skills --plugin azure-agent-skillsGuides Azure Security development: securing AKS images, CMK/Key Vault encryption, Notation signing, SBOM workflows, Customer Lockbox, and security best practices.
Blocks Edit/Write/Bash actions until Claude investigates importers, data schemas, and user instructions. Improves output quality by forcing concrete facts before edits.