TypingMindTypingMindThe best frontend for AI
Azure Confidential Computing logo

Azure Confidential Computing

Organization
MicrosoftDocs
azure-confidential-computing

Expert knowledge for Azure Confidential Computing development including decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building SGX/SEV-SNP apps, AKS confidential containers, vTPM/CVMs, Fortanix/Key Vault SKR, or clean rooms, and other Azure Confidential Computing related development tasks. Not for Azure Enclave (use azure-enclave), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm), Azure Payment Hsm (use azure-payment-hsm).

Overview

PublisherMicrosoftDocs
RepositoryAgent-Skills
Skill nameazure-confidential-computing
Stars
778
Forks
126
Bundled files
Instructions only
LicenseCC-BY-4.0
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MicrosoftDocs on GitHub. Read the source before you install it.

Installation

Install the Azure Confidential Computing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-confidential-computing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git /tmp/Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills/skills/azure-confidential-computing .claude/skills/azure-confidential-computing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Azure Confidential Computing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Azure Confidential Computing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Azure Confidential Computing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Azure Confidential Computing 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.

How to Use This Skill

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:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
Decision MakingL35-L46Guidance on choosing Azure confidential computing options: VMs (AMD/Intel), containers, GPUs, deployment models, capabilities, products, and use cases for secure workloads.
Architecture & Design PatternsL47-L56Architectural patterns and design guidance for using Azure confidential VMs, SGX enclaves, AKS, and multi-party analytics to build secure AI and containerized workloads.
Limits & QuotasL57-L62Intel SGX capacity, quotas, and sizing for Azure confidential computing: AKS confidential node limits, SGX VM sizing guidance, and FAQ on SGX resource constraints.
SecurityL63-L77Security, attestation, and key/secrets management for Azure confidential workloads: SGX enclaves, CVMs, vTPM, AKS confidential containers, clean rooms, and hardening Linux images.
ConfigurationL78-L89Configuring and deploying Azure confidential VMs and AKS (SGX, containers), managing keys and secure key release policies, and using/opt-ing out of VMMD metablob disks.
Integrations & Coding PatternsL90-L100Coding 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.
DeploymentL101-L109How 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.

Decision Making

TopicURL
Select Azure confidential container offeringshttps://learn.microsoft.com/en-us/azure/confidential-computing/choose-confidential-containers-offerings
Choose Azure confidential computing deployment modelshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-computing-deployment-models
Understand Azure confidential container optionshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-containers
Overview of confidential containers on Azurehttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-containers
Understand and choose Azure confidential VM capabilitieshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-vm-overview
Use Azure confidential GPUs for secure compute offloadhttps://learn.microsoft.com/en-us/azure/confidential-computing/gpu-options
Choose Azure confidential computing use caseshttps://learn.microsoft.com/en-us/azure/confidential-computing/use-cases-scenarios
Select Azure confidential VM options on AMD or Intelhttps://learn.microsoft.com/en-us/azure/confidential-computing/virtual-machine-options

Architecture & Design Patterns

TopicURL
Apply confidential computing to AI workloads on Azurehttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-ai
Design solutions with Azure confidential computing optionshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-computing-solutions
Use SGX enclave nodes in AKS workloadshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-nodes-aks-overview
Design enclave-aware container applications on AKShttps://learn.microsoft.com/en-us/azure/confidential-computing/enclave-aware-containers
Understand Azure confidential VM guest attestation designhttps://learn.microsoft.com/en-us/azure/confidential-computing/guest-attestation-confidential-virtual-machines-design
Architect multi-party analytics on Azure confidential computinghttps://learn.microsoft.com/en-us/azure/confidential-computing/multi-party-data

Limits & Quotas

TopicURL
AKS confidential nodes Intel SGX capacity detailshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-nodes-aks-faq
Deploy and size Intel SGX VMs on Azurehttps://learn.microsoft.com/en-us/azure/confidential-computing/virtual-machine-solutions-sgx

Security

TopicURL
Configure attestation for Azure SGX enclaveshttps://learn.microsoft.com/en-us/azure/confidential-computing/attestation
Use attestation types for Azure confidential workloadshttps://learn.microsoft.com/en-us/azure/confidential-computing/attestation-solutions
Security model for AKS Confidential Containershttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-containers-aks-security-policy
Understand security details for Azure confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-vm-faq
Configure guest attestation for Azure confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/guest-attestation-confidential-vms
Secure confidential VMs with Defender for Cloud and guest attestationhttps://learn.microsoft.com/en-us/azure/confidential-computing/guest-attestation-defender-for-cloud
Harden Linux images by removing Azure guest agenthttps://learn.microsoft.com/en-us/azure/confidential-computing/harden-a-linux-image-to-remove-azure-guest-agent
Harden Linux images by removing sudo users for confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/harden-the-linux-image-to-remove-sudo-users
Leverage vTPM features in Linux confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/how-to-leverage-virtual-tpms-in-azure-confidential-vms
Manage secrets and keys in Azure confidential computinghttps://learn.microsoft.com/en-us/azure/confidential-computing/secret-key-management
Use virtual TPMs in Azure confidential VMs securelyhttps://learn.microsoft.com/en-us/azure/confidential-computing/virtual-tpms-in-azure-confidential-vm

Configuration

TopicURL
Configure Confidential Containers on AKS (preview)https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-containers-on-aks-preview
Configure AKS Intel SGX device plugin (confcom)https://learn.microsoft.com/en-us/azure/confidential-computing/confidential-nodes-aks-addon
Configure opt-out of VMMD blob for Azure Confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/disable-confidential-vm-metadata-blob
Rotate customer-managed keys for Azure confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/key-rotation-offline
Deploy Azure confidential VMs with ARM templateshttps://learn.microsoft.com/en-us/azure/confidential-computing/quick-create-confidential-vm-arm
Provision Azure confidential VMs using Azure CLIhttps://learn.microsoft.com/en-us/azure/confidential-computing/quick-create-confidential-vm-azure-cli
Author Secure Key Release policies for Azure TEEshttps://learn.microsoft.com/en-us/azure/confidential-computing/skr-policy-examples
Use Virtual Machine Metablob Disk with confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/virtual-machine-metablob-disk

Integrations & Coding Patterns

TopicURL
Use development tools for Intel SGX enclaves on Azurehttps://learn.microsoft.com/en-us/azure/confidential-computing/application-development
Run confidential containers with Intel SGX enclaveshttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-containers-enclaves
Build Intel SGX enclave apps with OSS toolshttps://learn.microsoft.com/en-us/azure/confidential-computing/enclave-development-oss
Use guest attestation sample app with confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/guest-attestation-example
Run apps with Fortanix CCM and Node Agenthttps://learn.microsoft.com/en-us/azure/confidential-computing/how-to-fortanix-confidential-computing-manager-node-agent
Implement SKR with confidential containers on Azure Container Instanceshttps://learn.microsoft.com/en-us/azure/confidential-computing/skr-flow-confidential-containers-azure-container-instance
Implement SKR from Key Vault to AMD SEV-SNP confidential VMshttps://learn.microsoft.com/en-us/azure/confidential-computing/skr-flow-confidential-vm-sev-snp

Deployment

TopicURL
Deploy AKS cluster with SGX enclave nodes via CLIhttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-enclave-nodes-aks-get-started
Use confidential VM node pools in AKShttps://learn.microsoft.com/en-us/azure/confidential-computing/confidential-node-pool-aks
Create custom images for Azure confidential VMs with CLIhttps://learn.microsoft.com/en-us/azure/confidential-computing/how-to-create-custom-image-confidential-vm
Deploy Fortanix CCM as Azure managed apphttps://learn.microsoft.com/en-us/azure/confidential-computing/how-to-fortanix-confidential-computing-manager
Migrate nested Azure confidential VMs across regionshttps://learn.microsoft.com/en-us/azure/confidential-computing/migrate-nested-confidential-vms
Deploy VM scale sets with hardened Linux imageshttps://learn.microsoft.com/en-us/azure/confidential-computing/vmss-deployment-from-hardened-linux-image

Frequently asked questions

What does the Azure Confidential Computing AI skill do?

Expert knowledge for Azure Confidential Computing development including decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building SGX/SEV-SNP apps, AKS confidential containers, vTPM/CVMs, Fortanix/Key Vault SKR, or clean rooms, and other Azure Confidential Computing related development tasks. Not for Azure Enclave (use azure-enclave), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Cloud Hsm (use azure-cloud-hsm), Azure Payment Hsm (use azure-payment-hsm).

Why use Azure Confidential Computing on TypingMind?

Because you install it once and use it with any model. Azure Confidential Computing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Azure Confidential Computing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-confidential-computing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Azure Confidential Computing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Azure Confidential Computing?

As many as you like. As long as a model supports skills, you can use Azure Confidential Computing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Azure Confidential Computing AI skill free?

Yes. It is published on GitHub by MicrosoftDocs under the CC-BY-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
NousResearch logo

Tensorrt Llm

NousResearch
OrganizationPopular

High-throughput LLM inference on NVIDIA GPUs.

53.5K
250.4K
3 files
View
anthropics logo

Internal Comms

anthropics
OrganizationPopular

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal…

21.8K
184K
4 files
View
anthropics logo

Claude Opus 4 5 Migration

anthropics
OrganizationPopular

Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string…

23.8K
146.3K
2 files
View
vercel logo

Deploy Release Test

vercel
OrganizationPopular

Validate a commit-specific Next.js preview package and manually trigger the entire Next.js deployment test suite through the test_e2e_deploy_release.yml GitHub Actions workflow. Use only when asked to…

34.7K
143.1K
1 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇