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kcli-cluster-deploymentkcli 集群部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

392

周安装

16

GitHub Stars

636

下载量

127
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:kcli-cluster-deployment(kcli 集群部署)
来源仓库:https://github.com/karmab/kcli
仓库路径:skills/kcli-cluster-deployment
安装命令:
npx skills add https://github.com/karmab/kcli --skill kcli-cluster-deployment
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/karmab/kcli --skill kcli-cluster-deployment

简介

kcli-cluster-deployment 用于辅助云资源、部署、容器、基础设施和运维自动化任务。

  • 适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。
  • 使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作。
  • 涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

kcli Cluster Deployment

Supported Cluster Types

TypeDescriptionModule
openshiftRed Hat OpenShift (IPI/UPI)kvirt/cluster/openshift/
okdCommunity OpenShiftSame as openshift
hypershiftOpenShift Hosted Control Planeskvirt/cluster/hypershift/
microshiftLightweight edge OpenShiftkvirt/cluster/microshift/
genericGeneric Kubernetes (alias: kubernetes)kvirt/cluster/kubernetes/
kubeadmStandard Kubernetes via kubeadmkvirt/cluster/kubeadm/
k3sLightweight Kuberneteskvirt/cluster/k3s/
rke2Rancher Kubernetes Engine 2kvirt/cluster/rke2/
aksAzure Kubernetes Servicekvirt/cluster/aks/
eksAmazon Elastic Kuberneteskvirt/cluster/eks/
gkeGoogle Kubernetes Enginekvirt/cluster/gke/

Basic Cluster Commands

# Create cluster
kcli create kube <type> <clustername>

# Create with parameters
kcli create kube openshift -P ctlplanes=3 -P workers=2 mycluster

# List clusters
kcli list kube

# Get cluster info
kcli info kube mycluster

# Delete cluster
kcli delete kube mycluster

# Scale cluster
kcli scale kube <type> -P workers=5 mycluster

# Get kubeconfig
kcli get kubeconfig mycluster

OpenShift Deployment

Minimal Example

kcli create kube openshift -P pull_secret=~/pull-secret.json mycluster

Key Parameters

# Required
pull_secret: ~/pull-secret.json    # Red Hat pull secret
domain: example.com                 # Base domain

# Topology
ctlplanes: 3                        # Control plane nodes
workers: 2                          # Worker nodes
version: stable                     # OpenShift version (stable, 4.14, etc.)

# Resources
ctlplane_memory: 16384              # Control plane memory (MB)
ctlplane_numcpus: 8                 # Control plane CPUs
worker_memory: 8192                 # Worker memory
worker_numcpus: 4                   # Worker CPUs

# Networking
network: default                    # Libvirt network
api_ip: 192.168.122.253            # API VIP (auto-detected if omitted)
ingress_ip: 192.168.122.252        # Ingress VIP

Disconnected/Air-gapped

disconnected_url: registry.local:5000
disconnected_user: admin
disconnected_password: password
ca: |
  -----BEGIN CERTIFICATE-----
  ...
  -----END CERTIFICATE-----

kubeadm Deployment

kcli create kube kubeadm -P domain=k8s.local -P ctlplanes=1 -P workers=2 myk8s

Key Parameters

domain: k8s.local                   # Required domain
version: 1.29                       # Kubernetes version
ctlplanes: 1                        # Control planes (odd number for HA)
workers: 2                          # Worker count
network: default                    # Network name
api_ip: 192.168.122.250            # API endpoint (for multi-ctlplane)
image: centos9stream                # Base OS image

k3s Deployment

kcli create kube k3s -P ctlplanes=1 -P workers=2 myk3s

Key Parameters

ctlplanes: 1
workers: 2
version: latest                     # k3s version
domain: k3s.local
image: ubuntu2204

RKE2 Deployment

kcli create kube rke2 -P ctlplanes=1 -P workers=2 myrke2

Key Parameters

ctlplanes: 1
workers: 2
version: latest                     # RKE2 version
domain: rke2.local
image: ubuntu2204

HyperShift (Hosted Control Planes)

kcli create kube hypershift \
  -P pull_secret=~/pull-secret.json \
  -P nodepool_replicas=2 \
  myhypershift

Key Parameters

pull_secret: ~/pull-secret.json
management_cluster: mgmt            # Existing cluster name
nodepool_replicas: 2                # Worker node count
release_image: ...                  # Specific OCP release

MicroShift Deployment

kcli create kube microshift -P pull_secret=~/pull-secret.json mymicroshift

Key Parameters

pull_secret: ~/pull-secret.json
version: latest                     # MicroShift version
image: rhel9                        # RHEL-based image required

Cluster Directory Structure

Clusters store state in ~/.kcli/clusters/<clustername>/:

~/.kcli/clusters/mycluster/
├── kcli_parameters.yml    # Stored parameters
├── kubeconfig             # Cluster kubeconfig
├── auth/                  # Auth credentials (OpenShift)
│   ├── kubeadmin-password
│   └── kubeconfig
└── (other cluster-specific files)

Scaling Operations

# Scale workers
kcli scale kube openshift -P workers=5 mycluster

# Scale control planes (careful!)
kcli scale kube kubeadm -P ctlplanes=3 mycluster

# Add nodes with specific parameters
kcli scale kube openshift -P workers=3 -P worker_memory=16384 mycluster

Troubleshooting

Check Deployment Progress

# OpenShift: watch bootstrap
kcli ssh mycluster-bootstrap
journalctl -f -u bootkube

# kubeadm: check cluster status
export KUBECONFIG=~/.kcli/clusters/mycluster/kubeconfig
kubectl get nodes
kubectl get pods -A

Common Issues

  1. API IP not reachable: Ensure api_ip is in the correct subnet
  2. Pull secret invalid: Verify JSON format and Red Hat subscription
  3. Insufficient resources: Check VM memory/CPU against requirements
  4. DNS resolution: Ensure domain resolves or use sslip: true

Debug Mode

kcli -d create kube openshift mycluster  # Verbose output

Cloud Provider Notes

For cloud providers (AWS, GCP, Azure), kcli can:

  • Auto-create load balancers (cloud_lb: true)
  • Configure cloud DNS (cloud_dns: true)
  • Set up cloud storage (cloud_storage: true)
cloud_lb: true
cloud_dns: true
cloud_storage: true

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

30.31%
按下载量换算38

windsurf

21.4%
按下载量换算27

trae

16.54%
按下载量换算21

OpenCode

13.08%
按下载量换算17

Codex

7.4%
按下载量换算9

Antigravity

3.14%
按下载量换算4

安全审计

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通过

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通过

Snyk

通过

权限和风险

敏感数据

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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