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AWS CloudWatch 이상 탐지 실행북

CloudWatch 이상 탐지가 알람을 트리거할 때 구조화된 진단 실행북을 실행합니다. AWS SDK CloudWatch 클라이언트(GetMetricData, DescribeAlarms)를 사용하여 컨텍스트를 수집하고 해결 방안을 제안합니다.

AWS CloudWatch 이상 탐지 실행북란 무엇인가요?

이 스킬은 AWS CloudWatch 이상 탐지 알람이 발생할 때 사전 정의된 진단 실행북을 자동으로 실행하는 AI 에이전트 도구입니다. AWS SDK for JavaScript v3의 CloudWatch 클라이언트를 사용하여 `GetMetricData` 및 `DescribeAlarms` 호출을 통해 관련 메트릭 데이터와 알람 상태를 수집하고, 문제 해결을 위한 구체적인 권장 조치를 제시합니다. 주로 Claude Code, Cursor, Codex와 같은 AI 코딩 에이전트 환경에서 활용되며, 개발자가 CloudWatch 알람을 수동으로 분석하는 시간을 대폭 줄여줍니다. 이 스킬은 Node.js 프로젝트에 의존하며, `@aws-sdk/client-cloudwatch` 패키지를 통해 AWS SDK와 통합됩니다. 설치 과정은 npm 또는 yarn을 사용하여 간단히 진행할 수 있으며, AWS SDK의 표준 인증 체계를 따릅니다. 실행북은 이상 징후 감지 시 자동으로 트리거되어 시스템 안정성을 높이는 데 기여합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-anomaly-runbook

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

문서

AWS CloudWatch 이상 탐지 실행북은(는) 무엇을 하나요?

CloudWatch 이상 탐지가 알람을 트리거할 때 구조화된 진단 실행북을 실행합니다. AWS SDK CloudWatch 클라이언트(GetMetricData, DescribeAlarms)를 사용하여 컨텍스트를 수집하고 해결 방안을 제안합니다.

설치

환경에 맞는 업스트림 설치 또는 설정 경로를 사용하십시오:

  • SDK에서 DynamoDB에 의존하고 간단한 서비스 호출을 수행하는 프로젝트를 설정하는 과정을 살펴보겠습니다. 다음 단계는 yarn을 예시로 사용합니다. 이 단계는 Node.js와 yarn이 이미 설치되어 있다고 가정합니다.
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

업스트림의 요구 사항 및 주의 사항:

기본 사용법 또는 시작 참고 사항:

출처

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

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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