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Générateur de Runbooks d'Alertes AWS CloudWatch

Génère des runbooks structurés d'incidents à partir des configurations d'alertes AWS CloudWatch en utilisant l'API DescribeAlarms de CloudWatch et les documents AWS Systems Manager. Lie automatiquement les alertes aux procédures de correction.

Qu'est-ce que Générateur de Runbooks d'Alertes AWS CloudWatch ?

Cette compétence (skill) pour agents IA génère automatiquement des runbooks d'incidents structurés à partir des configurations d'alertes AWS CloudWatch. Elle utilise l'API DescribeAlarms de CloudWatch pour récupérer les métriques et les seuils, puis les associe aux documents AWS Systems Manager (SSM) pour les procédures de correction. Le résultat est un runbook prêt à l'emploi, liant chaque alerte à une action de remédiation automatisée, réduisant ainsi le temps de réponse aux incidents pour les opérateurs cloud. Cette compétence est utile pour les développeurs et les ingénieurs DevOps qui gèrent les environnements AWS et souhaitent standardiser leurs procédures d'incident. Elle prend en charge les agents compatibles avec les compétences (comme Claude Code, Cursor, Codex) qui peuvent exécuter des appels API AWS et formater la sortie. En interne, le skill interroge l'API CloudWatch, parse les documents SSM, et assemble un document Markdown structuré contenant l'alerte, la métrique, le seuil, et l'étape de remédiation associée.

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

Que fait Générateur de Runbooks d'Alertes AWS CloudWatch ?

Génère des runbooks structurés d'incidents à partir des configurations d'alertes AWS CloudWatch en utilisant l'API DescribeAlarms de CloudWatch et les documents AWS Systems Manager. Lie automatiquement les alertes aux procédures de correction.

Installation

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

  • Parcourons la configuration d'un projet qui dépend de DynamoDB depuis le SDK et effectue un simple appel de service. Les étapes suivantes utilisent yarn comme exemple. Ces étapes supposent que vous avez Node.js et yarn déjà installés.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

Exigences et mises en garde de l'amont :

Notes d'utilisation de base ou de démarrage :

Source

Individual skills in this repo

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

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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

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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.

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