azure-resource-visualizer▌
microsoft/azure-skills · updated Apr 8, 2026
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Transform Azure resource groups into detailed architecture diagrams showing resource relationships and configurations.
- ›Discovers all resources within a resource group and analyzes their configurations, dependencies, and interconnections
- ›Generates Mermaid diagrams organized by logical layers (Network, Compute, Data, Security, Monitoring) with SKU details and connection labels
- ›Maps relationships including network connections, data flows, identity bindings, and configuration dependencie
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
- Resource Group Discovery: List available resource groups when not specified
- Deep Resource Analysis: Examine all resources, their configurations, and interdependencies
- Relationship Mapping: Identify and document all connections between resources
- Diagram Generation: Create detailed, accurate Mermaid diagrams
- 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:
- Use your tools to query available resource groups. If you do not have a tool for this, use
az. - Present a numbered list of resource groups with their locations
- Ask the user to select one by number or name
- 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:
-
Query all resources in the resource group using Azure MCP tools or
az. -
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
-
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.
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:
- Header: Resource group name, subscription, region
- Summary: Brief overview of the architecture (2-3 paragraphs)
- Resource Inventory: Table listing all resources with types and key properties
- Architecture Diagram: The complete Mermaid diagram
- Relationship Details: Explanation of key connections and data flows
- 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
-
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
commandparameter when you need specific Azure operations
- Use
-
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)
- Always create in workspace root or a
-
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
mermaidlanguage 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.
How to use azure-resource-visualizer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add azure-resource-visualizer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches azure-resource-visualizer from GitHub repository microsoft/azure-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate azure-resource-visualizer. Access the skill through slash commands (e.g., /azure-resource-visualizer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★75 reviews- ★★★★★Chinedu Sethi· Dec 28, 2024
azure-resource-visualizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Zaid Li· Dec 20, 2024
azure-resource-visualizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Dec 16, 2024
azure-resource-visualizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Zaid Abbas· Dec 16, 2024
azure-resource-visualizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Arjun Chen· Dec 16, 2024
azure-resource-visualizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chinedu Reddy· Dec 12, 2024
Keeps context tight: azure-resource-visualizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Zaid Rahman· Dec 4, 2024
I recommend azure-resource-visualizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kofi Mehta· Nov 23, 2024
azure-resource-visualizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Advait Tandon· Nov 19, 2024
I recommend azure-resource-visualizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakshi Patil· Nov 7, 2024
azure-resource-visualizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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