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AWS CloudWatch Anomaly Investigator

Analyse les anomalies de métriques CloudWatch à l'aide des API AWS SDK CloudWatch.getMetricData et Logs.filterLogEvents. Corrèle les pics de métriques avec les patterns de logs et les événements de déploiement CodeDeploy.

Qu'est-ce que AWS CloudWatch Anomaly Investigator ?

Cette compétence permet à un agent IA d'investiguer automatiquement les anomalies de métriques dans Amazon CloudWatch. Elle utilise les API `getMetricData` de CloudWatch et `filterLogEvents` de CloudWatch Logs pour récupérer les données de métriques et les logs correspondants. L'agent peut ensuite corréler les pics anormaux dans les métriques avec des patterns spécifiques dans les logs ainsi qu'avec des événements de déploiement provenant d'AWS CodeDeploy. Cela aide les développeurs et les opérateurs à identifier rapidement la cause racine des anomalies, en liant les variations des métriques aux changements récents dans l'infrastructure ou l'application. La compétence est conçue pour les environnements Node.js utilisant l'AWS SDK pour JavaScript v3, et son code source est disponible sur GitHub.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-anomaly-investigator
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Documentation

Que fait AWS CloudWatch Anomaly Investigator ?

Analyse les anomalies de métriques CloudWatch à l'aide des API AWS SDK CloudWatch.getMetricData et Logs.filterLogEvents. Corrèle les pics de métriques avec les patterns de logs et les événements de déploiement CodeDeploy.

Installation

Utilisez le chemin d'installation amont ou de configuration qui correspond à votre environnement :

  • Parcourons la mise en place d'un projet qui dépend de DynamoDB à partir du SDK et effectue un appel de service simple. Les étapes suivantes utilisent yarn comme exemple. Ces étapes supposent que Node.js et yarn sont déjà installés.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Prérequis et mises en garde de la documentation amont :

Notes d'utilisation de base ou de mise en route :

Source

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

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Add executable smoke tests for shell scripts and CLIs before ref

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Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

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