技能 azure-compute
📦

azure-compute

安全 ⚙️ 外部命令🌐 网络访问

获取 Azure VM 大小推荐

此技能根据工作负载需求、性能需求和预算限制推荐 Azure 虚拟机大小和 VM Scale Set 配置。它查询公共 Azure 零售价格 API 以提供成本估算,无需 Azure 订阅。

支持: Claude Codex Code(CC)
📊 71 充足
1

下载技能 ZIP

2

在 Claude 中上传

前往 设置 → 功能 → 技能 → 上传技能

3

开启并开始使用

测试它

正在使用“azure-compute”。 What Azure VM should I use for a dev/test environment with light traffic?

预期结果:

For a dev/test environment with light traffic, I recommend the B-series (burstable) VMs. These offer the lowest cost with credits that handle intermittent loads:

| VM Size | vCPUs | RAM | $/hr (eastus) | Best For |
| --- | --- | --- | --- | --- |
| Standard_B2s | 2 | 8 GB | ~$0.04 | Light dev/test, small websites |
| Standard_B4ms | 4 | 16 GB | ~$0.08 | Moderate dev workloads |
| Standard_B2ps_v2 | 2 | 4 GB | ~$03 | Very light, bursty workloads |

Trade-off: B-series VMs throttle when credits are exhausted. For consistent performance, consider D-series.

正在使用“azure-compute”。 Compare D-series vs E-series for a SQL Server database

预期结果:

For a SQL Server workload, E-series (Memory Optimized) is typically the better choice:

| Family | Strength | VM Size | vCPUs | RAM | $/hr |
| --- | --- | --- | --- | --- | --- |
| E-series | High memory:CPU | Standard_E4ds_v5 | 4 | 32 GB | ~$0.25 |
| E-series | High memory:CPU | Standard_E8ds_v5 | 8 | 64 GB | ~$0.50 |
| D-series | Balanced | Standard_D4ds_v5 | 4 | 16 GB | ~$0.17 |

Recommendation: E-series for production databases. The higher memory-to-CPU ratio accommodates buffer pools, indexes, and query caching more effectively.

安全审计

安全
v1 • 2/28/2026

All static findings are false positives. The detected patterns are code examples within markdown documentation showing API usage (curl, bash, PowerShell) and public Azure endpoints. The skill is a legitimate Microsoft Azure VM recommendation tool that uses only public, unauthenticated APIs. No executable code, no credentials, no deployments - purely informational recommendations.

4
已扫描文件
453
分析行数
2
发现项
1
审计总数

风险因素

⚙️ 外部命令 (115)
references/retail-prices-api.md:7-9 references/retail-prices-api.md:9-12 references/retail-prices-api.md:12-14 references/retail-prices-api.md:14-18 references/retail-prices-api.md:18 references/retail-prices-api.md:18 references/retail-prices-api.md:18-22 references/retail-prices-api.md:22-24 references/retail-prices-api.md:24-26 references/retail-prices-api.md:26-28 references/retail-prices-api.md:28-30 references/retail-prices-api.md:30-32 references/retail-prices-api.md:34-38 references/retail-prices-api.md:38-40 references/retail-prices-api.md:40-42 references/retail-prices-api.md:42-44 references/retail-prices-api.md:44-46 references/retail-prices-api.md:46-48 references/retail-prices-api.md:50-54 references/retail-prices-api.md:54-56 references/retail-prices-api.md:56-58 references/retail-prices-api.md:58-60 references/retail-prices-api.md:60-62 references/retail-prices-api.md:62-64 references/retail-prices-api.md:66-70 references/retail-prices-api.md:70-71 references/retail-prices-api.md:71-73 references/retail-prices-api.md:73-75 references/retail-prices-api.md:75-77 references/retail-prices-api.md:77-79 references/retail-prices-api.md:79-81 references/retail-prices-api.md:83-89 references/retail-prices-api.md:89 references/retail-prices-api.md:89-90 references/retail-prices-api.md:90 references/retail-prices-api.md:90 references/retail-prices-api.md:90-91 references/retail-prices-api.md:91 references/retail-prices-api.md:91-92 references/retail-prices-api.md:92 references/retail-prices-api.md:92 references/retail-prices-api.md:92-93 references/retail-prices-api.md:93 references/retail-prices-api.md:93-94 references/retail-prices-api.md:94 references/retail-prices-api.md:94-95 references/retail-prices-api.md:95 references/retail-prices-api.md:95 references/retail-prices-api.md:95-97 references/retail-prices-api.md:97-103 references/retail-prices-api.md:103 references/retail-prices-api.md:103-104 references/retail-prices-api.md:104-105 references/retail-prices-api.md:105 references/retail-prices-api.md:105-106 references/retail-prices-api.md:106-107 references/retail-prices-api.md:107-108 references/retail-prices-api.md:108-109 references/retail-prices-api.md:109 references/retail-prices-api.md:109 references/retail-prices-api.md:109 references/retail-prices-api.md:109-110 references/retail-prices-api.md:110 references/retail-prices-api.md:110 references/retail-prices-api.md:110-111 references/retail-prices-api.md:111 references/retail-prices-api.md:111 references/retail-prices-api.md:111-112 references/retail-prices-api.md:112 references/retail-prices-api.md:112-116 references/retail-prices-api.md:116-118 references/retail-prices-api.md:118-120 references/retail-prices-api.md:120-124 references/retail-prices-api.md:124 references/retail-prices-api.md:124 references/retail-prices-api.md:124-125 references/retail-prices-api.md:125-127 references/retail-prices-api.md:127-128 references/retail-prices-api.md:128 references/retail-prices-api.md:18 references/retail-prices-api.md:30 references/retail-prices-api.md:46 references/retail-prices-api.md:62 references/retail-prices-api.md:79 references/vm-families.md:30-44 references/vm-families.md:44-51 references/vm-families.md:51-52 references/vm-families.md:52-58 references/vm-families.md:58-62 references/vm-families.md:62-63 references/vm-families.md:63-64 references/vm-families.md:64-65 references/vm-families.md:65-66 references/vm-families.md:66-67 references/vm-families.md:67-68 references/vm-families.md:68-70 SKILL.md:25 SKILL.md:52-55 SKILL.md:55-56 SKILL.md:56-59 SKILL.md:59-70 SKILL.md:70-90 SKILL.md:90-92 SKILL.md:92-95 SKILL.md:95-96 SKILL.md:96-97 SKILL.md:97-100 SKILL.md:100-102 SKILL.md:102-104 SKILL.md:104-122 SKILL.md:122-138 SKILL.md:138-146 SKILL.md:146 SKILL.md:146 SKILL.md:146-148
🌐 网络访问 (35)

检测到的模式

External Commands in DocumentationPublic Azure API Endpoints
审计者: claude

质量评分

45
架构
100
可维护性
87
内容
20
社区
100
安全
91
规范符合性

你能构建什么

新应用部署规划

一个开发团队计划在 Azure 上部署新的 Web 应用,需要选择合适的 VM 大小。他们将工作负载指定为具有中等流量的无状态 API 后端。

成本优化审查

云架构师需要比较不同 VM 系列和规格的价格,用于需要高内存的数据库服务器。他们想了解预留与即用即付成本的差异。

ML 工作负载大小确定

数据科学团队需要支持 GPU 的 VM 进行模型训练。他们想比较 NC 系列与 ND 系列选项,并了解预算提案的价格差异。

试试这些提示

基本 VM 推荐
What Azure VM size should I use for a web server with moderate traffic?
特定工作负载的大小确定
I need a VM for a memory-intensive database workload with 64GB RAM. Which Azure VM family and size do you recommend?
GPU VM 比较
Compare the available GPU VM sizes for deep learning training. Include pricing estimates for ND-series in East US region.
VMSS 与单 VM 选择
Should I use a single VM or a VM Scale Set for a stateless API that needs to handle variable traffic with autoscaling?

最佳实践

  • 始终验证推荐是否符合当前 Azure 文档,因为 VM 功能和价格经常变化
  • 将 B 系列用于开发/测试和可突发工作负载以最小化成本,然后升级到 D 或 E 系列用于生产
  • 查询 Azure 零售价格 API 获取实时价格并比较各区域以优化成本

避免

  • 将通用型 VM 用于内存密集型数据库(应使用 E 系列或 M 系列)
  • 为需要自动缩放的无状态工作负载部署单 VM(应使用 VMSS)
  • 选择最新一代而不考虑价格 - 旧一代如 Dv4 可能更便宜

常见问题

此技能是否需要 Azure 订阅?
不需要。此技能使用公共的 Azure 零售价格 API,无需身份验证。您可以在没有 Azure 账户的情况下获取 VM 推荐和价格。
此技能能否在 Azure 中部署 VM?
不需要。此技能仅提供推荐。部署请使用 azure-deploy 技能或 Azure CLI 命令。
价格估算的准确性如何?
价格来自 Azure 公共零售价格 API,每日更新。实际价格可能略有不同,不含税费或区域特定折扣。
B 系列和 D 系列 VM 有什么区别?
B 系列是可突发的 - 具有低基准 CPU 性能,并配有积分用于突发。D 系列提供一致、专用性能。B 系列更适合开发/测试;D 系列用于生产。
何时应该使用 VM Scale Sets 而不是单 VM?
当需要跨故障域的自动缩放、高可用性或多个相同实例时使用 VMSS。将其用于开发/测试、跳转盒或从不扩展的工作负载。
此技能能否帮助选择 GPU VM?
可以。此技能根据您的工作负载类型推荐 GPU 系列(NC 用于训练,ND 用于大规模 AI,NV 用于可视化)并提供价格比较。