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kubernetes-troubleshootingKubernetes troubleshooting 搜索

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

190

周安装

8

GitHub Stars

4

下载量

67
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

2

许可证

unknown

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:kubernetes-troubleshooting(Kubernetes troubleshooting 搜索)
来源仓库:https://github.com/nik-kale/sre-skills
仓库路径:skills/kubernetes-troubleshooting
安装命令:
npx skills add https://github.com/nik-kale/sre-skills --skill kubernetes-troubleshooting
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nik-kale/sre-skills --skill kubernetes-troubleshooting

简介

用于系统化排查 Kubernetes 集群与应用层故障,提供诊断线索集合。

  • 可收集节点状态、事件日志、资源使用率及网络连通性信息。
  • 需结合具体错误现象缩小排查范围,避免盲目执行命令消耗资源。
  • 通过 npx skills add 命令从指定仓库安装,建议保存常用排查清单便于复用。
  • 复杂问题应保留现场快照,便于后续复盘与知识沉淀。

SKILL.md

Kubernetes Troubleshooting

Systematic approach to debugging Kubernetes issues.

When to Use This Skill

  • Pod stuck in CrashLoopBackOff
  • OOMKilled errors
  • ImagePullBackOff failures
  • Pod not starting or scheduling
  • Service connectivity issues
  • Resource constraint problems

Quick Diagnostic Commands

Start with these commands to understand the current state:

# Cluster overview
kubectl get nodes
kubectl get pods -A | grep -v Running

# Specific namespace
kubectl get pods -n <namespace>
kubectl get events -n <namespace> --sort-by='.lastTimestamp' | tail -20

# Resource usage
kubectl top nodes
kubectl top pods -n <namespace>

Pod Debugging Workflow

Step 1: Check Pod Status

kubectl get pod <pod-name> -n <namespace> -o wide
kubectl describe pod <pod-name> -n <namespace>

Look for:

  • Status: What state is the pod in?
  • Conditions: Ready, ContainersReady, PodScheduled
  • Events: Recent events at the bottom of describe output

Step 2: Identify the Problem Category

SymptomLikely CauseGo To Section
PendingScheduling issueScheduling Issues
CrashLoopBackOffApplication crashCrashLoopBackOff
ImagePullBackOffImage/registry issueImage Pull Issues
OOMKilledMemory exhaustionOOMKilled
Running but not ReadyHealth check failingReadiness Issues
ErrorContainer errorContainer Errors

Common Issues

Scheduling Issues

Pod stuck in Pending state.

Diagnostic:

kubectl describe pod <pod-name> -n <namespace> | grep -A 10 Events

Common Causes:

Event MessageCauseFix
Insufficient cpu/memoryNot enough resourcesAdd nodes or reduce requests
node(s) had taintsNode taintsAdd tolerations or remove taints
no nodes availableNo matching nodesCheck node selector/affinity
persistentvolumeclaim not foundPVC missingCreate the PVC

Fix Resource Issues:

# Check resource requests vs available
kubectl describe nodes | grep -A 5 "Allocated resources"

# Check pending pod requests
kubectl get pod <pod> -o yaml | grep -A 10 resources

CrashLoopBackOff

Container keeps crashing and restarting.

Diagnostic:

# Check container logs (current)
kubectl logs <pod-name> -n <namespace>

# Check previous container logs
kubectl logs <pod-name> -n <namespace> --previous

# Check exit code
kubectl describe pod <pod-name> -n <namespace> | grep -A 3 "Last State"

Common Exit Codes:

Exit CodeMeaningCommon Cause
0SuccessProcess completed (might be wrong for long-running)
1Application errorCheck application logs
137SIGKILL (OOM)Memory limit exceeded
139SIGSEGVSegmentation fault
143SIGTERMGraceful termination

Common Fixes:

  • Check application logs for startup errors
  • Verify environment variables and secrets
  • Check if dependencies are available
  • Verify resource limits aren't too restrictive

Image Pull Issues

ImagePullBackOff or ErrImagePull.

Diagnostic:

kubectl describe pod <pod-name> -n <namespace> | grep -A 5 Events

Common Causes:

ErrorCauseFix
repository does not existWrong image nameFix image name/tag
unauthorizedAuth failureCheck imagePullSecrets
manifest unknownTag doesn't existVerify tag exists
connection refusedRegistry unreachableCheck network/firewall

Fix Registry Auth:

# Create image pull secret
kubectl create secret docker-registry regcred \
  --docker-server=<registry> \
  --docker-username=<user> \
  --docker-password=<password> \
  -n <namespace>

# Reference in pod spec
spec:
  imagePullSecrets:
  - name: regcred

OOMKilled

Container killed due to memory exhaustion.

Diagnostic:

kubectl describe pod <pod-name> -n <namespace> | grep -i oom
kubectl get pod <pod-name> -n <namespace> -o yaml | grep -A 5 lastState

Fix Options:

  1. Increase memory limit (if available):
resources:
  limits:
    memory: '512Mi' # Increase this
  requests:
    memory: '256Mi'
  1. Profile memory usage:
kubectl top pod <pod-name> -n <namespace> --containers
  1. Check for memory leaks in application code

Readiness Issues

Pod is Running but not Ready.

Diagnostic:

# Check readiness probe
kubectl describe pod <pod-name> -n <namespace> | grep -A 10 Readiness

# Check probe endpoint manually
kubectl exec <pod-name> -n <namespace> -- wget -qO- localhost:<port>/health

Common Causes:

  • Application not listening on expected port
  • Readiness endpoint returning non-200
  • Probe timeout too short
  • Dependencies not available

Fix Readiness Probe:

readinessProbe:
  httpGet:
    path: /health
    port: 8080
  initialDelaySeconds: 10 # Give app time to start
  periodSeconds: 5
  timeoutSeconds: 3 # Increase if needed
  failureThreshold: 3

Container Errors

Diagnostic:

# Get detailed container status
kubectl get pod <pod-name> -n <namespace> -o jsonpath='{.status.containerStatuses[*]}'

# Check init containers
kubectl logs <pod-name> -n <namespace> -c <init-container-name>

Networking Troubleshooting

Service Not Reachable

# Check service endpoints
kubectl get endpoints <service-name> -n <namespace>

# Check service selector matches pod labels
kubectl get svc <service-name> -n <namespace> -o yaml | grep selector -A 5
kubectl get pods -n <namespace> --show-labels

# Test connectivity from another pod
kubectl run debug --rm -it --image=busybox -- wget -qO- <service>:<port>

DNS Issues

# Check DNS resolution from pod
kubectl exec <pod> -n <namespace> -- nslookup <service-name>
kubectl exec <pod> -n <namespace> -- nslookup <service-name>.<namespace>.svc.cluster.local

# Check CoreDNS is running
kubectl get pods -n kube-system -l k8s-app=kube-dns

Resource Analysis

Node Pressure

# Check node conditions
kubectl describe nodes | grep -A 5 Conditions

# Check node resource usage
kubectl top nodes

# Find resource-heavy pods
kubectl top pods -A --sort-by=memory | head -20

PVC Issues

# Check PVC status
kubectl get pvc -n <namespace>

# Check PV status
kubectl get pv

# Describe for events
kubectl describe pvc <pvc-name> -n <namespace>

Quick Reference Commands

# Pod debugging
kubectl logs <pod> -n <ns>                    # Current logs
kubectl logs <pod> -n <ns> --previous         # Previous container logs
kubectl logs <pod> -n <ns> -c <container>     # Specific container
kubectl logs <pod> -n <ns> --tail=100 -f      # Follow logs

# Interactive debugging
kubectl exec -it <pod> -n <ns> -- /bin/sh     # Shell into container
kubectl exec <pod> -n <ns> -- env             # Check environment
kubectl exec <pod> -n <ns> -- cat /etc/hosts  # Check DNS

# Resource inspection
kubectl get pod <pod> -n <ns> -o yaml         # Full pod spec
kubectl describe pod <pod> -n <ns>            # Events and status
kubectl get events -n <ns> --sort-by='.lastTimestamp'

# Cluster-wide
kubectl get pods -A | grep -v Running         # Non-running pods
kubectl top pods -A --sort-by=cpu             # CPU usage
kubectl top pods -A --sort-by=memory          # Memory usage

Additional Resources

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

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

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

Codex

33.75%
按下载量换算23

Claude

30.99%
按下载量换算21

Cursor

18.45%
按下载量换算12

Gemini CLI

8.38%
按下载量换算6

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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