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azure-messaging▌

microsoft/GitHub-Copilot-for-Azure · updated Apr 8, 2026

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$npx skills add https://github.com/microsoft/GitHub-Copilot-for-Azure --skill azure-messaging
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summary

Diagnose and resolve Azure Event Hubs and Service Bus SDK issues across languages.

  • ›Covers connection failures, authentication errors, AMQP link issues, message lock timeouts, and event processor stalls across Python, Java, JavaScript, and .NET SDKs
  • ›Includes language-specific troubleshooting guides, configuration best practices (retry, prefetch, batch size), and checkpoint/dead-letter diagnostics
  • ›Integrates with Azure Monitor for KQL log queries, resource health checks, and Microsoft
skill.md

Azure Messaging SDK Troubleshooting

Quick Reference

Property Value
Services Azure Event Hubs, Azure Service Bus
MCP Tools mcp_azure_mcp_eventhubs, mcp_azure_mcp_servicebus
Best For Diagnosing SDK connection, auth, and message processing issues

When to Use This Skill

  • SDK connection failures, auth errors, or AMQP link errors
  • Idle timeout, connection inactivity, or slow reconnection after disconnect
  • AMQP link detach or detach-forced errors
  • Message lock lost, message lock expired, lock renewal failures, or batch lock timeouts
  • Session lock lost, session lock expired, or session receiver errors
  • Event processor or message handler stops processing
  • Duplicate events or checkpoint offset resets
  • SDK configuration questions (retry, prefetch, batch size, receive batch behavior)

MCP Tools

Tool Command Use
mcp_azure_mcp_eventhubs Namespace/hub ops List namespaces, hubs, consumer groups
mcp_azure_mcp_servicebus Queue/topic ops List namespaces, queues, topics, subscriptions
mcp_azure_mcp_monitor logs_query Query diagnostic logs with KQL
mcp_azure_mcp_resourcehealth get Check service health status
mcp_azure_mcp_documentation Doc search Search Microsoft Learn for troubleshooting docs

Diagnosis Workflow

  1. Identify the SDK and version — Check the prompt for SDK and version clues; if not stated, proceed with diagnosis and ask later if needed
  2. Check resource health — Use mcp_azure_mcp_resourcehealth to verify the namespace is healthy
  3. Review the error message — Match against language-specific troubleshooting guide
  4. Look up documentation — Use mcp_azure_mcp_documentation to search Microsoft Learn for the error or topic
  5. Check configuration — Verify connection string, entity name, consumer group
  6. Recommend fix — Apply remediation, citing documentation found

Connectivity Troubleshooting

See Service Troubleshooting Guide for ports, WebSocket fallback, IP firewall, private endpoints, and service tags.

SDK Troubleshooting Guides

References

Use mcp_azure_mcp_documentation to search Microsoft Learn for latest guidance. See Service Troubleshooting Guide for network and service-level docs.

how to use azure-messaging

How to use azure-messaging on Cursor

AI-first code editor with Composer

1

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-messaging
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/microsoft/GitHub-Copilot-for-Azure --skill azure-messaging

The skills CLI fetches azure-messaging from GitHub repository microsoft/GitHub-Copilot-for-Azure and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/azure-messaging

Reload or restart Cursor to activate azure-messaging. Access the skill through slash commands (e.g., /azure-messaging) 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.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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▌

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.8★★★★★58 reviews
  • ★★★★★Aisha Tandon· Dec 28, 2024

    azure-messaging has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Luis Iyer· Dec 20, 2024

    We added azure-messaging from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Hiroshi Desai· Dec 12, 2024

    azure-messaging is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Fatima Zhang· Dec 8, 2024

    Solid pick for teams standardizing on skills: azure-messaging is focused, and the summary matches what you get after install.

  • ★★★★★Ganesh Mohane· Dec 4, 2024

    Keeps context tight: azure-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Arya Haddad· Dec 4, 2024

    Keeps context tight: azure-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★James Nasser· Nov 27, 2024

    We added azure-messaging from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Hiroshi Bhatia· Nov 19, 2024

    azure-messaging fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Yuki Iyer· Nov 15, 2024

    Keeps context tight: azure-messaging is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Yusuf Bhatia· Nov 11, 2024

    Solid pick for teams standardizing on skills: azure-messaging is focused, and the summary matches what you get after install.

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