How do I install the Azure Observability skill?

Run npx skillmds@latest add jantoniofc/azure-observability in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Azure Observability?

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Is Azure Observability free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Azure Observability?

JantonioFC (@jantoniofc) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Azure Observability by jantoniofc — Agent Skill

Name: Azure Observability
Rating: 4.2 (5 reviews)
Author: JantonioFC

File contents

Azure Observability Services

Services

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`	-

MCP Server (Preferred)

When Azure MCP is enabled:

Monitor

azure__monitor with command monitor_metrics_query - Query metrics
azure__monitor with command monitor_logs_query - Query logs with KQL

Application Insights

azure__applicationinsights with command applicationinsights_component_list - List App Insights resources

Log Analytics

azure__kusto with command kusto_cluster_list - List clusters
azure__kusto with command kusto_query - Execute KQL queries

If Azure MCP is not enabled: Run /azure:setup or enable via /mcp.

CLI Reference

# 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"

Common KQL Queries

// 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

Monitoring Strategy

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

SDK Quick References

For programmatic access to monitoring services, see the condensed SDK guides:

OpenTelemetry: Python | TypeScript | Python Exporter
Monitor Query: Python | Java
Log Ingestion: Python | Java
App Insights Mgmt: .NET

Service Details

For deep documentation on specific services:

Application Insights setup -> appinsights-instrumentation skill
KQL query patterns -> Log Analytics KQL documentation
Alert configuration -> Azure Monitor alerts documentation

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

---name: azure-observabilitydescription: Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.license: MIT---# Azure Observability Services## Services| 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` | - |## MCP Server (Preferred)When Azure MCP is enabled:### Monitor- `azure__monitor` with command `monitor_metrics_query` - Query metrics- `azure__monitor` with command `monitor_logs_query` - Query logs with KQL### Application Insights- `azure__applicationinsights` with command `applicationinsights_component_list` - List App Insights resources### Log Analytics- `azure__kusto` with command `kusto_cluster_list` - List clusters- `azure__kusto` with command `kusto_query` - Execute KQL queries**If Azure MCP is not enabled:** Run `/azure:setup` or enable via `/mcp`.## CLI Reference```bash# List Log Analytics workspacesaz monitor log-analytics workspace list --output table# Query logs with KQLaz monitor log-analytics query \ --workspace WORKSPACE_ID \ --analytics-query "AzureActivity | take 10"# List Application Insightsaz monitor app-insights component list --output table# List alertsaz monitor alert list --output table# Query metricsaz monitor metrics list \ --resource RESOURCE_ID \ --metric "Percentage CPU"```## Common KQL Queries```kql// Recent errorsAppExceptions| where TimeGenerated > ago(1h)| project TimeGenerated, Message, StackTrace| order by TimeGenerated desc// Request performanceAppRequests| where TimeGenerated > ago(1h)| summarize avg(DurationMs), count() by Name| order by avg_DurationMs desc// Resource usageAzureMetrics| where TimeGenerated > ago(1h)| where MetricName == "Percentage CPU"| summarize avg(Average) by Resource```## Monitoring Strategy| 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 |## SDK Quick ReferencesFor programmatic access to monitoring services, see the condensed SDK guides:- **OpenTelemetry**: [Python](references/sdk/azure-monitor-opentelemetry-py.md) | [TypeScript](references/sdk/azure-monitor-opentelemetry-ts.md) | [Python Exporter](references/sdk/azure-monitor-opentelemetry-exporter-py.md)- **Monitor Query**: [Python](references/sdk/azure-monitor-query-py.md) | [Java](references/sdk/azure-monitor-query-java.md)- **Log Ingestion**: [Python](references/sdk/azure-monitor-ingestion-py.md) | [Java](references/sdk/azure-monitor-ingestion-java.md)- **App Insights Mgmt**: [.NET](references/sdk/azure-mgmt-applicationinsights-dotnet.md)## Service DetailsFor deep documentation on specific services:- Application Insights setup -> `appinsights-instrumentation` skill- KQL query patterns -> [Log Analytics KQL documentation](https://learn.microsoft.com/azure/azure-monitor/logs/log-query-overview)- Alert configuration -> [Azure Monitor alerts documentation](https://learn.microsoft.com/azure/azure-monitor/alerts/alerts-overview)## When to UseThis skill is applicable to execute the workflow or actions described in the overview.

Frequently asked questions

Azure Observability