skills/azure-metrics-advisor/SKILL.md
Expert knowledge for Azure AI Metrics Advisor development including decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring data feeds, alert hooks, detection settings, REST/SDK integrations, or cost/usage controls, 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).
npx skillsauth add microsoftdocs/agent-skills azure-metrics-advisorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This 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.
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 | Lines | Description | |----------|-------|-------------| | Decision Making | L33-L37 | Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices. | | Limits & Quotas | L38-L42 | Service limits for Metrics Advisor: max metrics, dimensions, alerts, data ingestion rates, detection constraints, and guidance on scaling within quotas. | | Security | L43-L48 | Encrypting Metrics Advisor data, configuring auth, and securely creating, storing, and managing data source credentials and keys for anomaly detection. | | 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. | | 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 |
| Topic | URL | |-------|-----| | Plan and manage Azure Metrics Advisor costs and usage | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management |
| Topic | URL | |-------|-----| | Understand Metrics Advisor limits and constraints | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/faq |
| Topic | URL | |-------|-----| | Configure Metrics Advisor data encryption and authentication | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/encryption | | Create and manage Metrics Advisor credential entities securely | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/credential-entity |
| Topic | URL | |-------|-----| | Configure Metrics Advisor instance and detection settings | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics |
| Topic | URL | |-------|-----| | Connect diverse data sources to Metrics Advisor | https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/data-feeds-from-different-sources | | 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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