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azure-metrics-advisor

Azure AI Metrics Advisorの開発全般を支援し、データフィード設定、異常検出チューニング、API連携など、関連タスクを効率化するSkill。

📜 元の英語説明(参考)

Expert knowledge for Azure AI Metrics Advisor development including decision making, security, configuration, and integrations & coding patterns. Use when configuring data feeds, tuning anomaly detection, managing alert hooks, securing creds, or calling Metrics Advisor APIs, 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).

🇯🇵 日本人クリエイター向け解説

一言でいうと

Azure AI Metrics Advisorの開発全般を支援し、データフィード設定、異常検出チューニング、API連携など、関連タスクを効率化するSkill。

※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。

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🎯 このSkillでできること

下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。

📦 インストール方法 (3ステップ)

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最終更新
2026-05-17
取得日時
2026-05-17
同梱ファイル
1
📖 Claude が読む原文 SKILL.md(中身を展開)

この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。

Azure AI Metrics Advisor Skill

This skill provides expert guidance for Azure AI Metrics Advisor. Covers decision making, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

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

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

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category Lines Description
Decision Making L32-L36 Guidance on estimating, controlling, and optimizing Metrics Advisor costs and usage, including pricing factors, quotas, and cost-management best practices.
Security L37-L42 Encrypting Metrics Advisor data, configuring auth, and securely creating, storing, and managing data source credentials and keys for anomaly detection.
Configuration L43-L47 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 L48-L52 Connecting Metrics Advisor to various data sources, crafting valid ingestion queries, and using its REST API/SDKs to integrate anomaly detection into applications

Decision Making

Topic URL
Plan and manage Azure Metrics Advisor costs and usage https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/cost-management

Security

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

Configuration

Topic URL
Configure Metrics Advisor instance and detection settings https://learn.microsoft.com/en-us/azure/ai-services/metrics-advisor/how-tos/configure-metrics

Integrations & Coding Patterns

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