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Détecteur d'Anomalies AWS CloudWatch

Utilise le SDK AWS CloudWatch (boto3) pour configurer des bandes de détection d'anomalies sur des métriques via l'API PutAnomalyDetector. S'intègre avec SNS pour les notifications et CloudWatch Synthetics pour la surveillance de disponibilité basée sur des canaris.

Qu'est-ce que Détecteur d'Anomalies AWS CloudWatch ?

Cette compétence permet de configurer et gérer des détecteurs d'anomalies CloudWatch à l'aide du SDK AWS (boto3). En utilisant l'API PutAnomalyDetector, elle crée des bandes de détection d'anomalies sur des métriques sélectionnées, ce qui permet d'identifier les comportements inhabituels et de déclencher des alertes proactives. La compétence s'intègre également avec Amazon SNS pour envoyer des notifications et avec CloudWatch Synthetics pour surveiller la disponibilité des endpoints via des canaris (canaries). Elle est utile pour les développeurs et les équipes DevOps qui souhaitent automatiser la détection des anomalies sans seuils manuels, et fonctionne avec l'écosystème AWS standard (SDK JavaScript v3, mais adaptable à boto3 et autres plateformes). En résumé, cette compétence simplifie la surveillance intelligente des métriques et améliore la réactivité face aux incidents.

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

Que fait Détecteur d'Anomalies AWS CloudWatch ?

Utilise le SDK AWS CloudWatch (boto3) pour configurer des bandes de détection d'anomalies sur des métriques via l'API PutAnomalyDetector. S'intègre avec SNS pour les notifications et CloudWatch Synthetics pour la surveillance de disponibilité basée sur des canaris.

Installation

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

  • Parcourons la mise en place d'un projet qui dépend de DynamoDB à partir du SDK et effectuons 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 .

Exigences et mises en garde provenant de la source amont :

Notes d'utilisation de base ou de démarrage rapide :

Source

Individual skills in this repo

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

Academic Paper Citation Network Mapper

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ACF Custom Fields REST Exposer

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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act Local GitHub Actions Runner

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

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

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

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.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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