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通过 MCP 与 K8sGPT 分析 Kubernetes 集群问题

将 K8sGPT 作为 MCP 服务器运行，以便智能体扫描 Kubernetes 集群，解释不健康资源，并以自然语言返回优先级排序的修复线索。

通过 MCP 与 K8sGPT 分析 Kubernetes 集群问题 是什么？

该技能将 K8sGPT 配置为模型上下文协议（MCP）服务器，使 AI 代理（如 Claude Desktop）能够直接与 Kubernetes 集群交互。通过运行 K8sGPT，智能体可以自动扫描集群，识别不健康的工作负载或节点，并以自然语言提供详细的解释和优先级排序的补救建议。这对于集群运维人员来说非常有用，能够显著减少手动排障时间。技能支持 MCP 兼容的客户端，并依赖 OpenAI 作为默认 AI 提供商（需要 API 密钥）。安装过程支持通过 Homebrew、源码编译等方式，但建议直接使用 brew 安装以简化依赖。使用前需确保集群可达，并已安装 K8sGPT v0.4.14 或更高版本。

兼容平台✓Claude Code✓Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/analyze-kubernetes-cluster-issues-through-mcp-with-k8sgpt
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通过 MCP 与 K8sGPT 分析 Kubernetes 集群问题 是做什么的？

将 K8sGPT 作为 MCP 服务器运行，以便智能体扫描 Kubernetes 集群，解释不健康资源，并以自然语言返回优先级排序的修复线索。

前提条件

一个可访问的 Kubernetes 集群、K8sGPT 以及一个兼容 MCP 的客户端

安装

使用适合您环境的上游安装或设置路径：

  • brew install k8sgpt
  • brew tap k8sgpt-ai/k8sgpt
  • 从源码构建。安装 Clang 或运行 brew install gcc。

来自上游的要求和注意事项：

  • K8sGPT 可以与 Claude Desktop 集成，提供基于 AI 的 Kubernetes 集群分析。此集成需要 K8sGPT v0.4.14 或更高版本。
  • 分析器节点耗时 160.109833 毫秒
  • 节点

基本用法或入门说明：

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来源

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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