Generated banner for Azure Resource Visualizer
Generated logo for Azure Resource Visualizer

Azure Resource Visualizer

MicrosoftOfficialCreated by Microsoft

  • 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. WHEN: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture visualization, resource topology, map Azure infrastructure.
— the description by Microsoft

AutoGineer summary

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

The Azure Resource Visualizer is a specialized agent skill designed to help users understand their cloud infrastructure. By analyzing Azure resource groups, the agent discovers resources, identifies interdependencies, and maps relationships such as network connections, data flows, and identity configurations. It produces a structured markdown document containing a detailed resource inventory and a rendered Mermaid diagram, providing a clear, architect-level view of the environment.

What it does

  • Discovers and lists Azure resource groups for user selection.
  • Performs deep analysis of resource configurations and interdependencies.
  • Maps complex relationships including network, data flow, and identity.
  • Generates detailed Mermaid architecture diagrams with logical grouping.
  • Produces comprehensive markdown documentation with resource inventories.
  • Ensures security by using placeholders for sensitive configuration values.

When to use it

  • When you need to document an existing Azure infrastructure setup.
  • When troubleshooting complex resource dependencies or network flows.
  • When onboarding team members to an existing Azure environment.
  • When preparing architecture reviews or infrastructure audits.

Advantages

  • Provides visual clarity for complex cloud architectures.
  • Ensures consistent documentation across different resource groups.
  • Reduces manual effort in mapping infrastructure relationships.
  • Maintains security by automatically masking sensitive data in diagrams.
  • Includes configuration details directly within the visual representation.

Usage examples

“Create an architecture diagram for my production resource group.”
The agent will list available resource groups, ask for confirmation, analyze the selected group, and generate a markdown file with a Mermaid diagram and inventory.
“Visualize the network relationships in my web-app-rg.”
The agent will perform a deep scan of the specified resource group and produce a diagram highlighting VNet, subnet, and endpoint connections.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/microsoft/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 Microsoft

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

For bulk resource discovery across subscriptions, use Azure Resource Graph queries. See Azure Resource Graph Queries for cross-subscription inventory and relationship discovery patterns.

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

Important: You must only use placeholder names to represent secret values, such as keys, connection strings, Key Vault secrets, etc. Use meaningful placeholder names to represent each secret in the diagram. Never put secret values in the resource diagram.

Step 3: Diagram Construction

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

See example-diagram.md for a complete sample architecture diagram.

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

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

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
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/skills · .github/plugins/azure-skills/skills/azure-resource-visualizer · commit 0696600
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from .github/plugins/azure-skills/LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Also distributed in
microsoft/azure-skills

AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.

Download ZIP

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