How do I install the Azure Compute skill?

Run npx skillmds@latest add paulasilvatech/azure-compute-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Azure Compute safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Azure Compute?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Azure Compute free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Azure Compute?

paulasilvatech (@paulasilvatech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Azure Compute by paulasilvatech — Agent Skill

Name: Azure Compute
Author: paulasilvatech

Azure Compute

Route Azure virtual machine and scale set work, including size and image selection, pricing comparison, autoscale and orchestration modes, capacity reservation groups, and Essential Machine Management. Use when the user asks to create, provision, deploy, or spin up a VM, recommend a VM size or family, compare VM pricing, work with VMSS, scale sets, autoscale, burstable or GPU sizes, plan HPC, machine learning, or dev/test workloads, estimate compute cost, or reserve and guarantee capacity.

paulasilvatech 45c30e6 41 files · 132.0 KB Updated Sep 17, 2026

File contents

Azure Compute Skill

Routes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow.

When to invoke

User wants to recommend, compare, or price a VM or VMSS
User wants to create, provision, or deploy a VM or VMSS
User asks about Capacity Reservation Groups (CRG) — reserve, guarantee capacity, pre-provision
User asks about Essential Machine Management (EMM) — machine enrollment, monitor

Disambiguate with azure-prepare: if the user wants to deploy an application (Docker service, web app, API, serverless workload), route to azure-prepare. vm-creator is for bare VM/VMSS infrastructure only.

Routing

Mandatory workflow-first routing: never route directly to references/* files. First classify the user intent below, open the matched workflow file, then load only the reference files that workflow requests. Reference files are supporting material, not entry points. If the intent is unclear, ask a clarifying question to disambiguate between the workflows.

Workflow	File	Use when
VM Recommender	vm-recommender.md	User asks which VM/VMSS to choose, whether to use VMSS/autoscaling, wants pricing, or wants to compare options
VM Creator	vm-creator.md	User wants to create, provision, or deploy a bare VM or VMSS (not an app deployment)
Capacity Reservation	capacity-reservation.md	User needs to reserve / guarantee VM capacity (CRG create / associate / disassociate)
Essential Machine Management	essential-machine-management.md	User asks about EMM / machine enrollment / monitor

Output template

## Compute recommendation result

**Status:** recommended | provisioned | blocked
**Summary:** <one sentence covering scope and outcome>

### Details
VM or scale set size, image, orchestration mode, and cost basis.

### Validation
- <check performed>: <result and evidence>

Quality gate

Size and image availability were confirmed for the target region.
Quota was checked before recommending provisioning.
The output follows ## Output template exactly.
Every reported check was performed and its evidence is shown.
Irreversible Azure actions were confirmed with the user first.

---name: azure-compute-2description: Route Azure virtual machine and scale set work, including size and image selection, pricing comparison, autoscale and orchestration modes, capacity reservation groups, and Essential Machine Management. Use when the user asks to create, provision, deploy, or spin up a VM, recommend a VM size or family, compare VM pricing, work with VMSS, scale sets, autoscale, burstable or GPU sizes, plan HPC, machine learning, or dev/test workloads, estimate compute cost, or reserve and guarantee capacity.license: MIT---# Azure Compute SkillRoutes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow.## When to invoke- User wants to **recommend, compare, or price** a VM or VMSS- User wants to **create, provision, or deploy** a VM or VMSS- User asks about **Capacity Reservation Groups** (CRG) — reserve, guarantee capacity, pre-provision- User asks about **Essential Machine Management** (EMM) — machine enrollment, monitor**Disambiguate with `azure-prepare`:** if the user wants to deploy an **application** (Docker service, web app, API, serverless workload), route to `azure-prepare`. `vm-creator` is for **bare VM/VMSS infrastructure** only.## Routing**Mandatory workflow-first routing:** never route directly to `references/*` files. First classify the user intent below, open the matched workflow file, then load only the reference files that workflow requests. Reference files are supporting material, not entry points. If the intent is unclear, ask a clarifying question to disambiguate between the workflows.| Workflow | File | Use when ||---|---|---|| **VM Recommender** | [vm-recommender.md](workflows/vm-recommender/vm-recommender.md) | User asks which VM/VMSS to choose, whether to use VMSS/autoscaling, wants pricing, or wants to compare options || **VM Creator** | [vm-creator.md](workflows/vm-creator/vm-creator.md) | User wants to create, provision, or deploy a bare VM or VMSS (not an app deployment) || **Capacity Reservation** | [capacity-reservation.md](workflows/capacity-reservation/capacity-reservation.md) | User needs to reserve / guarantee VM capacity (CRG create / associate / disassociate) || **Essential Machine Management** | [essential-machine-management.md](workflows/essential-machine-management/essential-machine-management.md) | User asks about EMM / machine enrollment / monitor |## Output template```markdown## Compute recommendation result**Status:** recommended | provisioned | blocked**Summary:** <one sentence covering scope and outcome>### DetailsVM or scale set size, image, orchestration mode, and cost basis.### Validation- <check performed>: <result and evidence>```## Quality gate- [ ] Size and image availability were confirmed for the target region.- [ ] Quota was checked before recommending provisioning.- [ ] The output follows `## Output template` exactly.- [ ] Every reported check was performed and its evidence is shown.- [ ] Irreversible Azure actions were confirmed with the user first.

Frequently asked questions