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Agent Skill · 云服务

azure-resource-visualizer(Azure resource visualizer 部署)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

azure-resource-visualizer 是云服务类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描有提醒项,按安装量在云服务类的 479 个 Skill 里排第 46。

总安装 203,579周安装 8,484GitHub Stars 31,684下载 68,329核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:azure-resource-visualizer(Azure resource visualizer 部署)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/azure-resource-visualizer
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill azure-resource-visualizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/github/awesome-copilot --skill azure-resource-visualizer

这个 Skill 是做什么的

云服务类 Skill 对接各家云平台的接口,用来查询资源、估算成本和执行变更。

分析 Azure 资源组并生成显示资源关系和体系结构的详细美人鱼图。

发现并分析指定资源组内的所有资源,捕获配置、SKU、网络设置和身份详细信息 映射资源之间的关系,包括网络连接、数据流、身份绑定和依赖关系 生成分层美人鱼图,其中子图按功能(网络、计算、数据、安全、监控)和描述性连接标签组织 创建全面的 Markdown 文档,包括资源清单表、架构图、关系解释和架构注释

来源仓库内路径:skills/azure-resource-visualizer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/github/awesome-copilot --skill azure-resource-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

azure-resource-visualizer 怎么安装?

在终端执行 npx skills add https://github.com/github/awesome-copilot --skill azure-resource-visualizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

azure-resource-visualizer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

azure-resource-visualizer 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/github/awesome-copilot --skill azure-resource-visualizer;npx skills add github/awesome-copilot --skill "azure-resource-visualizer" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

azure-resource-visualizer 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

azure-resource-visualizer 用的人多吗?

公开数据是累计安装 203,579 次,近一周安装 8,484 次,下载 68,329 次,GitHub 31,684 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

azure-resource-visualizer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 来源仓库有 31,684 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理云服务类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

云服务类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
azure-deploy

Azure 部署 · Codex、Claude

6,641,856764调用外部服务未明确通过
azure-diagnostics

Azure diagnostics 问题管理 · Codex、Claude

6,575,520764调用外部服务未明确通过
azure-aigateway

Azure aigateway 部署 · Codex、Claude

6,553,272764调用外部服务未明确有提醒
azure-ai

Azure AI 搜索 · Codex、Claude

6,514,128764调用外部服务未明确通过
azure-cloud-migrate

Azure Cloud migrate 部署 · Codex、Claude

6,506,784764调用外部服务未明确有提醒
azure-resource-visualizer

Azure resource visualizer 部署 · 本页

203,57931,684执行命令MIT有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Azure Resource Visualizer - Architecture Diagram Generator

A user may ask for help understanding how individual resources fit together, or to create a diagram showing their relationships. Your mission is to examine Azure resource groups, understand their structure and relationships, and generate comprehensive Mermaid diagrams that clearly illustrate the architecture.

Core Responsibilities

  1. Resource Group Discovery: List available resource groups when not specified
  2. Deep Resource Analysis: Examine all resources, their configurations, and interdependencies
  3. Relationship Mapping: Identify and document all connections between resources
  4. Diagram Generation: Create detailed, accurate Mermaid diagrams
  5. Documentation Creation: Produce clear markdown files with embedded diagrams

Workflow Process

Step 1: Resource Group Selection

If the user hasn't specified a resource group:

  1. Use your tools to query available resource groups. If you do not have a tool for this, use az.
  2. Present a numbered list of resource groups with their locations
  3. Ask the user to select one by number or name
  4. Wait for user response before proceeding

If a resource group is specified, validate it exists and proceed.

Step 2: Resource Discovery & Analysis

Once you have the resource group:

  1. Query all resources in the resource group using Azure MCP tools or az.
  2. Analyze each resource type and capture:

- Resource name and type - SKU/tier information - Location/region - Key configuration properties - Network settings (VNets, subnets, private endpoints) - Identity and access (Managed Identity, RBAC) - Dependencies and connections

  1. Map relationships by identifying:

- Network connections: VNet peering, subnet assignments, NSG rules, private endpoints - Data flow: Apps → Databases, Functions → Storage, API Management → Backends - Identity: Managed identities connecting to resources - Configuration: App Settings pointing to Key Vaults, connection strings - Dependencies: Parent-child relationships, required resources

Step 3: Diagram Construction

Create a detailed Mermaid diagram using the graph TB (top-to-bottom) or graph LR (left-to-right) format:

Diagram Structure Guidelines:

graph TB
    %% Use subgraphs to group related resources
    subgraph "Resource Group: [name]"
        subgraph "Network Layer"
            VNET[Virtual Network<br/>10.0.0.0/16]
            SUBNET1[Subnet: web<br/>10.0.1.0/24]
            SUBNET2[Subnet: data<br/>10.0.2.0/24]
            NSG[Network Security Group]
        end

        subgraph "Compute Layer"
            APP[App Service<br/>Plan: P1v2]
            FUNC[Function App<br/>Runtime: .NET 8]
        end

        subgraph "Data Layer"
            SQL[Azure SQL Database<br/>DTU: S1]
            STORAGE[Storage Account<br/>Type: Standard LRS]
        end

        subgraph "Security & Identity"
            KV[Key Vault]
            MI[Managed Identity]
        end
    end

    %% Define relationships with descriptive labels
    APP -->|"HTTPS requests"| FUNC
    FUNC -->|"SQL connection"| SQL
    FUNC -->|"Blob/Queue access"| STORAGE
    APP -->|"Uses identity"| MI
    MI -->|"Access secrets"| KV
    VNET --> SUBNET1
    VNET --> SUBNET2
    SUBNET1 --> APP
    SUBNET2 --> SQL
    NSG -->|"Rules applied to"| SUBNET1

Key Diagram Requirements:

  • Group by layer or purpose: Network, Compute, Data, Security, Monitoring
  • Include details: SKUs, tiers, important settings in node labels (use <br/> for line breaks)
  • Label all connections: Describe what flows between resources (data, identity, network)
  • Use meaningful node IDs: Abbreviations that make sense (APP, FUNC, SQL, KV)
  • Visual hierarchy: Subgraphs for logical grouping
  • Connection types:

- --> for data flow or dependencies - -.-> for optional/conditional connections - ==> for critical/primary paths

Resource Type Examples:

  • App Service: Include plan tier (B1, S1, P1v2)
  • Functions: Include runtime (.NET, Python, Node)
  • Databases: Include tier (Basic, Standard, Premium)
  • Storage: Include redundancy (LRS, GRS, ZRS)
  • VNets: Include address space
  • Subnets: Include address range

Step 4: File Creation

Use template-architecture.md as a template and create a markdown file named [resource-group-name]-architecture.md with:

  1. Header: Resource group name, subscription, region
  2. Summary: Brief overview of the architecture (2-3 paragraphs)
  3. Resource Inventory: Table listing all resources with types and key properties
  4. Architecture Diagram: The complete Mermaid diagram
  5. Relationship Details: Explanation of key connections and data flows
  6. Notes: Any important observations, potential issues, or recommendations

Operating Guidelines

Quality Standards

  • Accuracy: Verify all resource details before including in diagram
  • Completeness: Don't omit resources; include everything in the resource group
  • Clarity: Use clear, descriptive labels and logical grouping
  • Detail Level: Include configuration details that matter for architecture understanding
  • Relationships: Show ALL significant connections, not just obvious ones

Tool Usage Patterns

  1. Azure MCP Search:

- Use intent="list resource groups" to discover resource groups - Use intent="list resources in group" with group name to get all resources - Use intent="get resource details" for individual resource analysis - Use command parameter when you need specific Azure operations

  1. File Creation:

- Always create in workspace root or a docs/ folder if it exists - Use clear, descriptive filenames: [rg-name]-architecture.md - Ensure Mermaid syntax is valid (test syntax mentally before output)

  1. Terminal (when needed):

- Use Azure CLI for complex queries not available via MCP - Example: az resource list --resource-group <name> --output json - Example: az network vnet show --resource-group <name> --name <vnet-name>

Constraints & Boundaries

Always Do:

  • ✅ List resource groups if not specified
  • ✅ Wait for user selection before proceeding
  • ✅ Analyze ALL resources in the group
  • ✅ Create detailed, accurate diagrams
  • ✅ Include configuration details in node labels
  • ✅ Group resources logically with subgraphs
  • ✅ Label all connections descriptively
  • ✅ Create a complete markdown file with diagram

Never Do:

  • ❌ Skip resources because they seem unimportant
  • ❌ Make assumptions about resource relationships without verification
  • ❌ Create incomplete or placeholder diagrams
  • ❌ Omit configuration details that affect architecture
  • ❌ Proceed without confirming resource group selection
  • ❌ Generate invalid Mermaid syntax
  • ❌ Modify or delete Azure resources (read-only analysis)

Edge Cases & Error Handling

  • No resources found: Inform user and verify resource group name
  • Permission issues: Explain what's missing and suggest checking RBAC
  • Complex architectures (50+ resources): Consider creating multiple diagrams by layer
  • Cross-resource-group dependencies: Note external dependencies in diagram notes
  • Resources without clear relationships: Group in "Other Resources" section

Output Format Specifications

Mermaid Diagram Syntax

  • Use graph TB (top-to-bottom) for vertical layouts
  • Use graph LR (left-to-right) for horizontal layouts (better for wide architectures)
  • Subgraph syntax: subgraph "Descriptive Name"
  • Node syntax: ID["Display Name<br/>Details"]
  • Connection syntax: SOURCE -->|"Label"| TARGET

Markdown Structure

  • Use H1 for main title
  • Use H2 for major sections
  • Use H3 for subsections
  • Use tables for resource inventories
  • Use bullet lists for notes and recommendations
  • Use code blocks with mermaid language tag for diagrams

Example Interaction

User: "Analyze my production resource group"

Agent:

  1. Lists all resource groups in subscription
  2. Asks user to select: "Which resource group? 1) rg-prod-app, 2) rg-dev-app, 3) rg-shared"
  3. User selects: "1"
  4. Queries all resources in rg-prod-app
  5. Analyzes: App Service, Function App, SQL Database, Storage Account, Key Vault, VNet, NSG
  6. Identifies relationships: App → Function, Function → SQL, Function → Storage, All → Key Vault
  7. Creates detailed Mermaid diagram with subgraphs
  8. Generates rg-prod-app-architecture.md with complete documentation
  9. Displays: "Created architecture diagram in rg-prod-app-architecture.md. Found 7 resources with 8 key relationships."

Success Criteria

A successful analysis includes:

  • ✅ Valid resource group identified
  • ✅ All resources discovered and analyzed
  • ✅ All significant relationships mapped
  • ✅ Detailed Mermaid diagram with proper grouping
  • ✅ Complete markdown file created
  • ✅ Clear, actionable documentation
  • ✅ Valid Mermaid syntax that renders correctly
  • ✅ Professional, architect-level output

Your goal is to provide clarity and insight into Azure architectures, making complex resource relationships easy to understand through excellent visualization.

适合场景

01

Azure 资源规划

02

云服务升级

03

基础设施检查

04

企业云环境自动化

能力概览

能力 1

整理 Azure 服务操作流程

能力 2

提示 CLI/MCP 前置条件

能力 3

辅助云资源检查和规划

能力 4

保留官方服务来源线索

平台分布

Claude Code

27.76%
按下载量换算18,968

Gemini CLI

27.52%
按下载量换算18,804

OpenCode

17.13%
按下载量换算11,705

Antigravity

12.47%
按下载量换算8,521

Codex

7.78%
按下载量换算5,316

Cursor

3.72%
按下载量换算2,542

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/github/awesome-copilot --skill azure-resource-visualizer;npx skills add github/awesome-copilot --skill "azure-resource-visualizer" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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