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Tri des alarmes AWS CloudWatch

Trivia les alarmes AWS CloudWatch à l'aide de boto3 CloudWatch.describe_alarms, des requêtes CloudWatch Logs Insights et de l'analyse des traces AWS X-Ray via le xray-sdk. Corrèle les déclenchements d'alarmes avec les événements de déploiement.

Qu'est-ce que Tri des alarmes AWS CloudWatch ?

Cette compétence est conçue pour automatiser le tri des alarmes AWS CloudWatch en utilisant les bibliothèques boto3 et xray-sdk. Elle interroge les alarmes avec `describe_alarms`, exécute des requêtes CloudWatch Logs Insights pour obtenir des logs pertinents, et analyse les traces X-Ray pour identifier la cause racine des anomalies. La corrélation avec les événements de déploiement (via AWS CodeDeploy, CloudFormation, etc.) permet de déterminer rapidement si une alarme est liée à un changement récent. Elle est utile pour les ingénieurs DevOps et les équipes SRE qui doivent réduire le bruit des alertes et accélérer le diagnostic. Fonctionne dans tout environnement Python avec AWS SDK (boto3) et xray-sdk, et peut être intégrée dans des pipelines CI/CD, des systèmes de chat ops ou des runbooks automatisés.

Compatible avec~Claude Code~Codex CLI~Cursor✓Gemini CLI
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-alarm-triage-5
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Documentation

Que fait Tri des alarmes AWS CloudWatch ?

Trivia les alarmes AWS CloudWatch à l'aide de boto3 CloudWatch.describe_alarms, des requêtes CloudWatch Logs Insights et de l'analyse des traces AWS X-Ray via le xray-sdk. Corrèle les déclenchements d'alarmes avec les événements de déploiement.

Installation

Utilisez le chemin d'installation ou de configuration correspondant à votre environnement :

  • Parcourons la mise en place d'un projet qui dépend de DynamoDB via le 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 .

Exigences et mises en garde de la source 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.

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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