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.
Best use case
azure-observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.
Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "azure-observability" skill to help with this workflow task. Context: Azure Observability Services including Azure Monitor, Application Insights, Log Analytics, Alerts, and Workbooks. Provides metrics, APM, distributed tracing, KQL queries, and interactive reports.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/azure-observability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How azure-observability Compares
| Feature / Agent | azure-observability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 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 ```kql // 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](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 Details For 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)
Related Skills
azure-quotas
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
monitoring-observability
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Grafana, ELK Stack, Datadog, and monitoring best practices.
service-mesh-observability
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
observability-monitoring-monitor-setup
You are a monitoring and observability expert specializing in implementing comprehensive monitoring solutions. Set up metrics collection, distributed tracing, log aggregation, and create insightful da
observability-engineer
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
microsoft-azure-webjobs-extensions-authentication-events-dotnet
Microsoft Entra Authentication Events SDK for .NET. Azure Functions triggers for custom authentication extensions. Use for token enrichment, custom claims, attribute collection, and OTP customization in Entra ID. Triggers: "Authentication Events", "WebJobsAuthenticationEventsTrigger", "OnTokenIssuanceStart", "OnAttributeCollectionStart", "custom claims", "token enrichment", "Entra custom extension", "authentication extension".
database-migrations-migration-observability
Migration monitoring, CDC, and observability infrastructure
azure-web-pubsub-ts
Build real-time messaging applications using Azure Web PubSub SDKs for JavaScript (@azure/web-pubsub, @azure/web-pubsub-client). Use when implementing WebSocket-based real-time features, pub/sub messaging, group chat, or live notifications.
azure-storage-queue-ts
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. Supports visibility timeout, message encoding, and batch operations. Triggers: "queue storage", "@azure/storage-queue", "QueueServiceClient", "QueueClient", "send message", "receive message", "dequeue", "visibility timeout".
azure-storage-queue-py
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing. Triggers: "queue storage", "QueueServiceClient", "QueueClient", "message queue", "dequeue".
azure-storage-file-share-ts
Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations. Use for creating shares, managing directories, uploading/downloading files, and handling file metadata. Supports Azure Files SMB protocol scenarios. Triggers: "file share", "@azure/storage-file-share", "ShareServiceClient", "ShareClient", "SMB", "Azure Files".
azure-storage-file-share-py
Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud. Triggers: "azure-storage-file-share", "ShareServiceClient", "ShareClient", "file share", "SMB".