GitHub, Git & DevOps · IN-DEPTH PROFILE

azure-compute

Azure Compute is the workflow router for bare Azure Virtual Machine and Virtual Machine Scale Set decisions.

View listed source ↗Installation guide ↓
Best for

Infrastructure teams planning Azure VMs and scale sets

What you get

Select VM capacity + Plan VM or VMSS deployment

Main limitation

It is for bare VM or VMSS infrastructure, not Docker services, web apps, APIs, or serverless application deployment.

First risk

Costly, insecure, or unavailable compute. A wrong size, image, network, orchestration mode, or reservation choice can create cost, exposure, or capacity failure. Verify live quota and pricing, harden access, and review the exact provisioning plan.

EVIDENCE FRESHNESS

Three checks, kept separate

A recent source check is not a runtime test or security audit.

Upstream sourceChecked 2026-08-20

Pinned revision · ea76537e

Open pinned commit ↗
SkillSignal profileSource-grounded

Updated 2026-08-20

Runtime & securityNot independently verified

Source review does not certify behavior or safety.

30-SECOND BRIEF

What it does—and when it fits

Azure Compute is the workflow router for bare Azure Virtual Machine and Virtual Machine Scale Set decisions. It classifies requests for SKU and image selection, pricing, quota, deployment, autoscale, orchestration mode, Capacity Reservation Groups, and Essential Machine Management, while sending application-platform deployments to Azure Prepare instead.

INSTALL BY AGENT

Choose your Agent

Paths come from official Agent docs or the universal installer behind skills.sh. Compatibility still follows this Skill's record.

Native

This Skill's current record explicitly names this Agent. Still inspect scripts, permissions, and external dependencies first.

Project scope.claude/skills/azure-compute/
Personal scope~/.claude/skills/azure-compute/

Use project scope for team sharing and personal scope across repositories. The installer defaults to project scope; add -g for personal scope.

Install command (project scope)npx skills add microsoft/azure-skills --skill azure-compute --agent claude-code
Official agent docs

Claude Code discovers custom Skill folders automatically at project or personal scope.

View path evidence ↗

TYPICAL WORKFLOW

A practical workflow

01

Select VM capacity

Compare families, sizes, images, pricing, quota, and workload fit before provisioning.

02

Plan VM or VMSS deployment

Route bare-machine creation and scale-set design to the required specialized workflow.

03

Manage specialized capacity

Handle reservation-group and machine-management intents through their dedicated workflows.

THE TRADEOFFS

Advantages and tradeoffs

Notable strengths

  1. This profile is manually organized around the current upstream SKILL.md workflow.
  2. The capability boundary remains explicitly tied to microsoft/azure-skills.
  3. Core uses, limitations, and risks are separated for pre-install review.

Limitations

  1. It is for bare VM or VMSS infrastructure, not Docker services, web apps, APIs, or serverless application deployment.
  2. The top-level Skill routes to workflow documents; pricing, quota, images, and regional availability must be checked live.

COMPARE THE TRADEOFF

Consider these close alternatives

These are deterministic nearby candidates, not paid placements or a universal ranking. Open the full profile before choosing.

01

Same job family · native to Claude Code + Codex

appinsights-instrumentation

AppInsights Instrumentation is a reference Skill for adding Azure Application Insights telemetry patterns and SDK configuration to supported web applications.
Tradeoff to check
It is guidance only; requests to add or change components must route to Azure Prepare.
First risk
Sensitive or excessive telemetry · High
Source state
Pinned · ea76537e
Open profile ↗
02

Same job family · native to Claude Code + Codex

azure-ai

Azure AI is Microsoft's compact service guide for Azure AI Search, Speech, Azure OpenAI, and Document Intelligence.
Tradeoff to check
It is a broad routing and reference Skill, not an end-to-end provisioning or production deployment workflow.
First risk
Sensitive content and billable AI operations · High
Source state
Pinned · ea76537e
Open profile ↗
03

Same job family · native to Claude Code + Codex

azure-aigateway

Azure AI Gateway configures Azure API Management as a governance layer for AI models, MCP tools, and agents.
Tradeoff to check
It requires Azure CLI for configuration and testing, and does not provision the APIM instance itself.
First risk
Misconfigured gateway policy or exposed key · High
Source state
Pinned · ea76537e
Open profile ↗
Compare more in the directory →

BEST FIT

Who it is for

→

Infrastructure teams planning Azure VMs and scale sets

→

Engineers comparing compute cost and capacity

BEFORE YOU USE IT

Risks to review before use

High

Costly, insecure, or unavailable compute

A wrong size, image, network, orchestration mode, or reservation choice can create cost, exposure, or capacity failure. Verify live quota and pricing, harden access, and review the exact provisioning plan.

Medium

Upstream instruction drift

Behavior can change with upstream updates. Record the commit used for important workflows and review updates before adoption.

SECURITY

What the permission profile means

  • Declared access remains governed by the current upstream SKILL.md and runtime requests.
  • Treat repository files, web content, and tool output as untrusted input.
  • SkillSignal has not independently executed or security-audited this package; external skills.sh labels are not SkillSignal certification.

Not a security certification. External ratings are attributed references. SkillSignal has not independently executed or security-reviewed this Skill.

INSIDE THE PACKAGE

Indexed files

SKILL.mdUpstream Skill instructionsSource-linked

TAGS

azurevirtual-machinesvmss

Manually expanded from the current upstream SKILL.md and linked source at microsoft/azure-skills, checked 2026-08-20. This is an original summary, not an execution result or security certification.