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AWS CloudWatch 日誌異常調查器

使用 CloudWatch Logs Insights API 和 CloudWatch Anomaly Detection 調查 AWS CloudWatch 日誌中的異常模式,並透過 AWS CodeDeploy API 將日誌突峰與部署事件關聯起來。

AWS CloudWatch 日誌異常調查器 是什麼?

這是一個專為 AI 代理設計的技能,用於自動偵測和調查 AWS CloudWatch 日誌中的異常模式。它整合了 CloudWatch Logs Insights API 與 CloudWatch Anomaly Detection,能夠快速找出日誌流量異常並進行深入分析。此外,該技能會透過 AWS CodeDeploy API 取得部署事件,將日誌突峰(log spikes)與最近的部署活動進行時間關聯,從而協助工程師快速判斷異常是否由部署變更引起。此技能主要支援 AWS 環境下的 AI 代理工具(如 Claude Code、Codex 等),使用 JavaScript/Node.js 並依賴 AWS SDK v3。用戶需先安裝相關依賴並設定 AWS 憑證,即可在專案中動用此技能進行自動化日誌調查。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/aws-cloudwatch-log-anomaly-investigator

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說明文件

AWS CloudWatch 日誌異常調查器 是做什麼的?

使用 CloudWatch Logs Insights API 和 CloudWatch Anomaly Detection 調查 AWS CloudWatch 日誌中的異常模式,並透過 AWS CodeDeploy API 將日誌突峰與部署事件關聯起來。

安裝

請使用符合你環境的上游安裝或設定路徑:

  • 讓我們逐步建立一個專案,該專案依賴 DynamoDB SDK 並執行簡單的服務呼叫。以下步驟以 yarn 為例。這些步驟假設你已安裝 Node.js 和 yarn。
  • git clone https://github.com/aws/aws-sdk-js-v3.git
  • yarn && yarn test:all
  • yarn pack .

來自上游的需求與注意事項:

基本用法或入門說明:

來源

Individual skills in this repo

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

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ACF to Gutenberg Block Migrator

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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.

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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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