Query metrics, logs, and traces across Azure Monitor, Application Insights, and Log Analytics.
Works with
Access Azure Monitor metrics, Application Insights APM data, and Log Analytics KQL queries through MCP tools or Azure CLI commands
Supports distributed tracing, performance analysis, and infrastructure monitoring across applications and resources
Includes interactive workbooks for building custom dashboards and reports on observability data
Common use cases: error tracking, request perfo
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionazure-observabilityExecute the skills CLI command in your project's root directory to begin installation:
Fetches azure-observability from microsoft/github-copilot-for-azure and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate azure-observability. Access via /azure-observability in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| Service | Use When | MCP Tools | CLI |
|---|---|---|---|
| Azure Monitor | Metrics, alerts, dashboards | azure__monitor |
az monitor |
| Application Insights | APM, distributed tracing | azure__applicationinsights |
az monitor app-insights |
| Log Analytics | Log queries, KQL | azure__kusto |
az monitor log-analytics |
| Alerts | Notifications, actions | - | az monitor alert |
| Workbooks | Interactive reports | azure__workbooks |
- |
When Azure MCP is enabled:
azure__monitor with command monitor_metrics_query - Query metricsazure__monitor with command monitor_logs_query - Query logs with KQLazure__applicationinsights with command applicationinsights_component_list - List App Insights resourcesazure__kusto with command kusto_cluster_list - List clustersazure__kusto with command kusto_query - Execute KQL queriesIf Azure MCP is not enabled: Run /azure:setup or enable via /mcp.
# List Log Analytics workspaces
az monitor log-analytics workspace list --output table
# Query logs with KQL
az monitor log-analytics query \
--workspace WORKSPACE_ID \
--analytics-query "AzureActivity | take 10"
# List Application Insights
az monitor app-insights component list --output table
# List alerts
az monitor alert list --output table
# Query metrics
az monitor metrics list \
--resource RESOURCE_ID \
--metric "Percentage CPU"
// Recent errors
AppExceptions
| where TimeGenerated > ago(1h)
| project TimeGenerated, Message, StackTrace
| order by TimeGenerated desc
// Request performance
AppRequests
| where TimeGenerated > ago(1h)
| summarize avg(DurationMs), count() by Name
| order by avg_DurationMs desc
// Resource usage
AzureMetrics
| where TimeGenerated > ago(1h)
| where MetricName == "Percentage CPU"
| summarize avg(Average) by Resource
| What to Monitor | Service | Metric/Log |
|---|---|---|
| Application errors | App Insights | Exceptions, failed requests |
| Performance | App Insights | Response time, dependencies |
| Infrastructure | Azure Monitor | CPU, memory, disk |
| Security | Log Analytics | Sign-ins, audit logs |
| Costs | Cost Management | Budget alerts |
For programmatic access to monitoring services, see the condensed SDK guides:
For deep documentation on specific services:
appinsights-instrumentation skillPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
microsoft/github-copilot-for-azure
microsoft/github-copilot-for-azure
microsoft/GitHub-Copilot-for-Azure
microsoft/GitHub-Copilot-for-Azure
microsoft/azure-skills
sickn33/antigravity-awesome-skills
I recommend azure-observability for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in azure-observability — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
azure-observability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend azure-observability for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
azure-observability fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: azure-observability is focused, and the summary matches what you get after install.
azure-observability reduced setup friction for our internal harness; good balance of opinion and flexibility.
azure-observability is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend azure-observability for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: azure-observability is focused, and the summary matches what you get after install.
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