1---2name: azure-metrics-advisor3description: Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alerts/hooks, or calling Metrics Advisor REST/SDKs, and other Azure AI Metrics Advisor related development tasks. Not for Azure AI Anomaly Detector (use azure-anomaly-detector), Azure Monitor (use azure-monitor), Azure Stream Analytics (use azure-stream-analytics).4---5# Azure AI Metrics Advisor Skill
6
7This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
8
9## How to Use This Skill
10
11> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file
12
13> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)
14
15This skill requires **network access** to fetch documentation content:
16- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
17- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.
18
19## Category Index
20
21| Category | Lines | Description |
22|----------|-------|-------------|
23| Decision Making | L33-L37 | Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices. |
24| Limits & Quotas | L38-L42 | Service limits for Metrics Advisor: max metrics, dimensions, alerts, data ingestion rates, detection constraints, and guidance on scaling within quotas. |
25| Security | L43-L48 | Configuring Metrics Advisor security: data encryption, auth options (keys, AAD), and creating/managing secure credential entities for data sources and monitoring. |
26| Configuration | L49-L53 | Setting up Metrics Advisor: configuring alert hooks (email/webhook), alerting rules, data feed and detection settings, and tuning anomaly detection behavior for your instance. |
27| Integrations & Coding Patterns | L54-L58 | Connecting Metrics Advisor to various data sources, crafting valid ingestion queries, and using its REST API/SDKs to integrate anomaly detection into applications |
28
29### Decision Making
30| Topic | URL |
31|-------|-----|
32| Plan and manage Azure Metrics Advisor costs and usage | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management |
33
34### Limits & Quotas
35| Topic | URL |
36|-------|-----|
37| Understand Metrics Advisor limits and constraints | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/faq |
38
39### Security
40| Topic | URL |
41|-------|-----|
42| Configure encryption and authentication for Metrics Advisor | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption |
43| Create and manage Metrics Advisor credential entities securely | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity |
44
45### Configuration
46| Topic | URL |
47|-------|-----|
48| Configure Metrics Advisor instance and detection settings | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics |
49
50### Integrations & Coding Patterns
51| Topic | URL |
52|-------|-----|
53| Connect diverse data sources to Metrics Advisor | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/data-feeds-from-different-sources |
54| Use Metrics Advisor REST API and client SDKs | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/quickstarts/rest-api-and-client-library |
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