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AWS CloudWatch Anomaly Detector

AWS CloudWatch SDK（boto3）を使用して、PutAnomalyDetector API 経由でメトリクスに異常検出バンドを設定します。SNS による通知や CloudWatch Synthetics によるカナリアベースの稼働時間監視と統合します。

AWS CloudWatch Anomaly Detector とは？

このスキルは、AWS CloudWatch SDK（boto3）の PutAnomalyDetector API を呼び出して、メトリクスに異常検出バンドを自動設定できるようにします。CloudWatch Synthetics のカナリアと連携することで、アプリケーションの稼働時間監視の異常を自動検出し、SNS 経由で担当者に通知することが可能です。開発者や AI エージェントは、手動でのしきい値設定が不要で、機械学習ベースの異常検出を数行のコードで実装できます。主に AWS 上で動作し、Amazon Bedrock、Claude Code、Cursor、Codex などのプラットフォームで利用できます。

対応~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-anomaly-detector
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このエージェントスキルを事前に読み込んだ状態で新しいチャットを開きます。

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ドキュメント

AWS CloudWatch Anomaly Detector は何をしますか？

AWS CloudWatch SDK（boto3）を使用して、メトリクスに異常検出バンドを設定するためのものです。PutAnomalyDetector API を利用し、SNS による通知や CloudWatch Synthetics によるカナリアベースの稼働時間監視と統合します。

インストール

お使いの環境に合わせたアップストリームのインストールまたはセットアップパスを使用してください：

  • DynamoDB に依存するプロジェクトをセットアップし、シンプルなサービス呼び出しを行う手順を順を追って説明します。以下の手順では yarn を例として使用します。Node.js と yarn がすでにインストールされていることを前提とします。
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

アップストリームの要件と注意事項：

基本的な使用方法または開始方法の注意事項：

ソース

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add graph-backed memory and context retrieval to agent workflows

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Add persistent project memory and hook-driven synthesis with Cla

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Add temporal context memory to agent workflows with Zep

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