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Azure Resource Visualizer

GitHubOfficialCreated by Tom Meschter ( )Distributed by GitHub

  • Skill
  • Content generator
  • Cloud and DevOps
  • MIT
  • No issues found

From the author

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.
— the description by Tom Meschter ( )

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Azure Resource Visualizer examines Azure resource groups to map interdependencies and configurations. It performs discovery of resources, analyzes their properties and relationships, and produces a structured markdown document containing a comprehensive Mermaid architecture diagram. The skill follows a systematic process of resource group selection, deep analysis of network, compute, and data layers, and documentation generation to provide a clear visual representation of cloud infrastructure.

What it does

  • Lists and selects Azure resource groups for analysis
  • Performs deep analysis of resource configurations and interdependencies
  • Maps relationships including network connections, data flows, and identity access
  • Generates Mermaid diagrams with logical grouping and descriptive labels
  • Produces markdown documentation including resource inventories and relationship details

When to use it

  • When you need to visualize the architecture of an existing Azure resource group
  • When you need to document resource interdependencies and configurations
  • When you need to understand how network, compute, and data layers connect in Azure
  • When you require a structured markdown report of your cloud infrastructure

Advantages

  • Provides clear visual representations of complex cloud architectures
  • Automates the creation of technical documentation for Azure environments
  • Ensures consistent documentation structure across different resource groups
  • Captures critical configuration details like SKUs and network settings

Usage examples

“Analyze my production resource group.”
The agent lists available resource groups, prompts for a selection, analyzes the chosen group's resources and relationships, and generates a markdown file with a Mermaid diagram.
“Create an architecture diagram for the rg-web-app resource group.”
The agent validates the existence of the resource group, performs a deep analysis of its resources, and produces a documented architecture file with a visual diagram.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/github/azure-resource-visualizer/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip azure-resource-visualizer.zip -d .agents/skills

Documentation by Tom Meschter ( )

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

  3. 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

  2. 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)

  3. 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.

Files

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Tom Meschter ( )
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/azure-resource-visualizer · commit 797337f
Licence
MIT License (redistribution allowed)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Tom Meschter ( ) or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-resource-visualizer.zip