Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.
把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性，你确认后才安装。
读取 https://funcoding.ai/skills/microsoft/azure-skills/azure-compute/install.md ，按里面的步骤帮我安装这个 Skill。
Routes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow.
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.
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 |
anthropics/skills180kCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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DietrichGebert/ponytail158kQuality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
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DietrichGebert/ponytail158kQuality audit of the whole repo: bugs, security, real load, missing tests, speed, and what to delete. Most important first.
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DietrichGebert/ponytail158kQuality review of a diff: bugs, security, real load, missing tests, speed, and what to delete. Each finding says what goes wrong and how to fix it.
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addyosmani/agent-skills103kAutomates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
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addyosmani/agent-skills103kRefines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".
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