Minikube

Skill mjunaidca/mjs-agent-skills/docs/taskflow-vault/skills/engineering/minikube

A curated collection of Agent Skills — reusable units of intelligence that teach AI General Agents how to perform specific tasks autonomously.

Install

npx -y skills add mjunaidca/mjs-agent-skills --skill minikube

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Manages local Kubernetes clusters using Minikube for development and testing. This skill should be used when setting up local K8s environments, enabling addons, configuring networking, and deploying applications locally. Use this skill for Phase IV local Kubernetes deployments before cloud deployment.

SKILL.md

6.8 KB, ~1.8k tokens by cl100k_base, as published. Nobody here has run it

Minikube Skill

Overview

Minikube runs a single-node Kubernetes cluster locally for development and testing. It supports multiple container runtimes (Docker, containerd, CRI-O) and provides easy addon management.

Installation

macOS

# Homebrew
brew install minikube

# Or direct download
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-darwin-arm64
sudo install minikube-darwin-arm64 /usr/local/bin/minikube

Linux

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube

Windows (WSL2)

curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube

Essential Commands

Cluster Management

# Start cluster (uses Docker driver by default)
minikube start

# Start with specific resources
minikube start --memory=8192 --cpus=4

# Start with specific Kubernetes version
minikube start --kubernetes-version=v1.28.0

# Start with specific driver
minikube start --driver=docker

# Check cluster status
minikube status

# Stop cluster (preserves state)
minikube stop

# Delete cluster completely
minikube delete

# Delete all clusters and profiles
minikube delete --all

Multiple Profiles

# Create named cluster
minikube start -p my-cluster

# Switch between clusters
minikube profile my-cluster

# List all profiles
minikube profile list

# Delete specific profile
minikube delete -p my-cluster

Accessing the Cluster

# Open Kubernetes dashboard
minikube dashboard

# Get cluster IP
minikube ip

# SSH into the node
minikube ssh

# Access service via URL
minikube service <service-name> --url

# Open service in browser
minikube service <service-name>

Addons

Minikube addons extend cluster functionality:

List and Enable Addons

# List all available addons
minikube addons list

# Enable addon
minikube addons enable <addon-name>

# Disable addon
minikube addons disable <addon-name>

Essential Addons for TaskFlow

# Ingress controller (REQUIRED for external access)
minikube addons enable ingress

# Ingress DNS (optional, for local DNS)
minikube addons enable ingress-dns

# Metrics server (for kubectl top)
minikube addons enable metrics-server

# Dashboard (web UI)
minikube addons enable dashboard

# Storage provisioner (for PVCs)
minikube addons enable storage-provisioner

# Registry (local container registry)
minikube addons enable registry

Full Setup for TaskFlow

# Start with sufficient resources
minikube start --memory=8192 --cpus=4

# Enable essential addons
minikube addons enable ingress
minikube addons enable metrics-server
minikube addons enable storage-provisioner
minikube addons enable dashboard

Networking

Accessing Services

Three ways to access services in Minikube:

1. NodePort Service

# Get service URL
minikube service my-service --url
# Returns: http://192.168.49.2:30080

2. Minikube Tunnel (LoadBalancer)

# Run in separate terminal (requires sudo)
minikube tunnel

# Now LoadBalancer services get external IPs
kubectl get svc
# EXTERNAL-IP will show actual IP instead of <pending>

3. Port Forwarding

kubectl port-forward svc/my-service 8080:80
# Access at http://localhost:8080

Ingress Setup

# Enable ingress addon
minikube addons enable ingress

# Get minikube IP
minikube ip
# Returns: 192.168.49.2

# Add to /etc/hosts
echo "$(minikube ip) taskflow.local" | sudo tee -a /etc/hosts

# Now access via: http://taskflow.local

Using Local Docker Images

Load Image into Minikube

# Load from local Docker
minikube image load my-image:tag

# List images in Minikube
minikube image list

Build Directly in Minikube

# Point Docker CLI to Minikube's Docker daemon
eval $(minikube docker-env)

# Now docker build goes directly into Minikube
docker build -t my-app:local .

# Use imagePullPolicy: Never in K8s manifests

Reset Docker Environment

# Return to local Docker daemon
eval $(minikube docker-env -u)

Configuration

Set Default Memory/CPU

minikube config set memory 8192
minikube config set cpus 4
minikube config set driver docker

View Configuration

minikube config view

Debugging

Logs

# Minikube logs
minikube logs

# Follow logs
minikube logs -f

# Specific component logs
minikube logs --file=kubelet

Common Issues

1. Insufficient Resources

# Stop and restart with more resources
minikube stop
minikube start --memory=8192 --cpus=4

2. Driver Issues

# Try different driver
minikube delete
minikube start --driver=docker

3. Ingress Not Working

# Verify ingress addon is running
kubectl get pods -n ingress-nginx

# Check ingress controller logs
kubectl logs -n ingress-nginx -l app.kubernetes.io/component=controller

4. Services Not Accessible

# Check if tunnel is needed
minikube tunnel  # Run in separate terminal

# Or use NodePort
minikube service <service-name>

TaskFlow Deployment Workflow

# 1. Start Minikube
minikube start --memory=8192 --cpus=4

# 2. Enable addons
minikube addons enable ingress
minikube addons enable metrics-server

# 3. Point to Minikube Docker
eval $(minikube docker-env)

# 4. Build images locally
docker build -t taskflow/api:local ./packages/api
docker build -t taskflow/web:local ./web-dashboard
docker build -t taskflow/sso:local ./sso-platform
docker build -t taskflow/mcp-server:local ./packages/mcp-server

# 5. Deploy with Helm
helm install taskflow ./helm/taskflow \
  --set api.image.tag=local \
  --set api.image.pullPolicy=Never \
  --set web.image.tag=local \
  --set web.image.pullPolicy=Never

# 6. Start tunnel for LoadBalancer
minikube tunnel

# 7. Access application
minikube service taskflow-web

Quick Reference

Command	Purpose
`minikube start`	Start cluster
`minikube stop`	Stop cluster
`minikube delete`	Delete cluster
`minikube status`	Check status
`minikube dashboard`	Open web UI
`minikube addons list`	List addons
`minikube service <svc>`	Access service
`minikube tunnel`	Enable LoadBalancer
`minikube ip`	Get cluster IP
`minikube image load <img>`	Load Docker image
`eval $(minikube docker-env)`	Use Minikube Docker

Resources

Refer to references/addons-guide.md for detailed addon configurations.

What ships with it: 1 file

1.9 KB alongside SKILL.md

references/

addons-guide.md1.9 KB

Gives 0 of the 12 instructions most containers cloud skills give in ~1.8k tokens

Counted across 607 of the 657 authors here whose files we hold, read 2026-08-07

Run containers as a non-root userin 66 of 607, across 46 files
Use multi-stage buildsin 53 of 607, across 44 files
Use Promise.all for independent operationsin 47 of 607, across 13 files
Import directly instead of barrel filesin 46 of 607, across 12 files
Use ternary instead of AND for conditionalsin 45 of 607, across 12 files
Use Set or Map for O(1) lookupsin 42 of 607, across 10 files
Create a .dockerignore filein 41 of 607, across 31 files
Read individual rule files for detailsin 39 of 607, across 9 files
Copy dependency files before source codein 36 of 607, across 23 files
Authenticate server actions like API routesin 35 of 607, across 7 files
Use next/dynamic for heavy componentsin 34 of 607, across 9 files
Use React.cache for per-request deduplicationin 34 of 607, across 10 files

Said here and by no other author read

start the cluster with specific resources
check cluster status
enable required addons
use minikube tunnel for load balancer services
load local images into the cluster
point docker cli to cluster daemon for builds

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.