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Expert knowledge for Azure Monitor development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment.
Passed 0 of 10 test cases with the skill, and 10 of 10 without it.
and 3 more in the full report
6 fixed1 passed either way12 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are migrating hundreds of Windows servers from the legacy Log Analytics agent (MMA) to Azure Monitor Agent (AMA). Instead of manually recreating every data collection setting in the Azure Portal, what tool or generator does Microsoft provide to automatically convert MMA configs into Data Collection Rules (DCRs), and what is the documentation link for it?
| Checked | Without skill | With skill |
|---|---|---|
| Mentions the Azure Monitor Agent migration DCR generator tool | Passed | Passed |
| Includes the official documentation link https://learn.microsoft.com/en-us/azure/azure-monitor/agents/azure-monitor-agent-migration-data-collection-rule-generator | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides expert guidance for Azure Monitor. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| Category | Location | Description |
|---|---|---|
| Troubleshooting | L37-L110 | Diagnosing and fixing Azure Monitor data collection, agents, alerts, pipelines, and workspace issues across VMs, containers, DevCenter, ITSM, and Application Insights logs. |
| Best Practices | L111-L148 | Best practices for configuring, optimizing, and scaling Azure Monitor (logs, metrics, alerts, autoscale, AKS, VMs, multicloud) for performance, reliability, and cost efficiency. |
| Decision Making | L149-L187 | Guidance for planning, choosing, and migrating Azure Monitor monitoring/ingestion options (agents, OTEL, metrics/logs, alerts, costs, workspaces, pipelines, and third‑party/tool integrations). |
| Architecture & Design Patterns | L188-L193 | Designing end-to-end Azure Monitor architectures, including enterprise-scale layouts, data flows, and secure network topologies using Private Link for monitoring traffic. |
| Limits & Quotas | L194-L224 | Limits, quotas, scale and performance planning for Azure Monitor: ingestion caps, retention, query limits, alert/log rules, Container Insights, Prometheus, metrics/log support, and Workbooks. |
| Security | L225-L294 | Securing Azure Monitor and related services: auth, RBAC, TLS, networking, policies, private access, and querying security/audit logs from Databricks, MDE, healthcare, and other workloads. |
| Configuration | configuration.md | Configuring Azure Monitor: agents, data collection rules, diagnostics, logs/metrics schemas, alerts, pipelines, workbooks, and per‑service monitoring for VMs, AKS, apps, and Azure/SaaS resources. |
| Integrations & Coding Patterns | integrations.md | Integrating Azure Monitor with apps and tools: agents, APIs, webhooks, ITSM, Prometheus/Grafana, and KQL patterns for querying and analyzing many Azure/third‑party logs and metrics. |
| Deployment | deployment.md | Deploying and migrating Azure Monitor components: AMA/VM insights, text logs, smart detection, and enabling .NET profiling and Snapshot Debugger across App Service, Functions, VMs, containers, and Service Fabric. |
test cases passed, vs 10 / 10 without
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