azure-observability
Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports. USE FOR: Azure Monitor, Application Insights, Log Analytics, Alerts, Workbooks, metrics, APM, distributed tracing, KQL queries, interactive reports, observability, monitoring dashboards. DO NOT USE FOR: instrumenting apps with App Insights SDK (use appinsights-instrumentation), querying Kusto/ADX clusters (use azure-kusto), cost analysis (use azure-cost-optimization).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/microsoft/azure-skills --skill azure-observability- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads azure-observability automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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__monitorwith commandmonitor_metrics_query- Query metricsazure__monitorwith commandmonitor_logs_query- Query logs with KQL
Application Insights
azure__applicationinsightswith commandapplicationinsights_component_list- List App Insights resources
Log Analytics
azure__kustowith commandkusto_cluster_list- List clustersazure__kustowith commandkusto_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-instrumentationskill - KQL query patterns -> Log Analytics KQL documentation
- Alert configuration -> Azure Monitor alerts documentation
FAQ
What does the azure-observability skill do?
Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports. USE FOR: Azure Monitor, Application Insights, Log Analytics, Alerts, Workbooks, metrics, APM, distributed tracing, KQL queries, interactive reports, observability, monitoring dashboards. DO NOT USE FOR: instrumenting apps with App Insights SDK (use appinsights-instrumentation), querying Kusto/ADX clusters (use azure-kusto), cost analysis (use azure-cost-optimization).
How do I install azure-observability?
Run npx skills add https://github.com/microsoft/azure-skills --skill azure-observability in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/azure-observability/ (personal) or .claude/skills/azure-observability/ (project).
Which AI agents can use azure-observability?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is azure-observability safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains azure-observability?
It is published by microsoft in microsoft/azure-skills, and it is an official skill from the maker of the technology it covers. It has 86,214 recorded installs.
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