docker-management
Teaches your AI agent to ship projects and manage infrastructure and generate images, icons and diagrams.
What it does
This tool helps you build, optimize, and fix issues with Docker containers and images. It allows you to create, run, and manage applications within these containers.
When to use it
- ✓When creating a file to define how an application should run in a container (Dockerfile).
- ✓When building and naming Docker images for your applications.
- ✓When running, stopping, or debugging applications inside containers.
Example of what to ask your AI
“How can I create a Docker image for my web application?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You can ask it to create an instruction file (Dockerfile) for your application, build the image from it, and then run that image as a container. The tool also helps troubleshoot any problems that may arise.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill docker-managementOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/docker-management/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Docker Management
Build, run, and manage Docker containers for application deployment and development.
When to Use This Skill
Use this skill when:
- Creating and optimizing Dockerfiles
- Building and tagging Docker images
- Running and managing containers
- Debugging container issues
- Configuring Docker networking and volumes
- Implementing container security best practices
Execution Scope
Confirm the selected Docker context and project before any operation. Build instructions execute contributed commands; inspect the Dockerfile, build context, scripts and downloaded dependencies first. Image publication, shared-container stops and volume deletion need authorization for the exact target. Do not expose environment values, image history or logs containing credentials. These examples are independent fragments with project-specific assets, not a complete deployment.
Prerequisites
- Docker Engine installed (20.10+)
- Basic command line knowledge
- Understanding of application deployment
Dockerfile Best Practices
Multi-Stage Build
# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build && npm prune --omit=dev
# Production stage
FROM node:20-alpine AS production
WORKDIR /app
RUN addgroup -g 1001 -S nodejs && \
adduser -S nodejs -u 1001 -G nodejs
COPY --from=builder --chown=nodejs:nodejs /app/dist ./dist
COPY --from=builder --chown=nodejs:nodejs /app/node_modules ./node_modules
USER nodejs
EXPOSE 3000
CMD ["node", "dist/index.js"]
Layer Optimization
FROM python:3.12-slim
# Install dependencies first (cached unless requirements change)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code (changes frequently)
COPY . .
CMD ["python", "app.py"]
Security Hardening
FROM node:20-alpine
# Create non-root user
RUN addgroup -g 1001 appgroup && \
adduser -u 1001 -G appgroup -D appuser
WORKDIR /app
# Copy with proper ownership
COPY --chown=appuser:appgroup . .
# Drop privileges
USER appuser
# Use exec form for proper signal handling
CMD ["node", "server.js"]
Building Images
Basic Build
# Build with tag
docker build -t myapp:1.0 .
# Build with build args
docker build --build-arg NODE_ENV=production -t myapp:prod .
# Build for specific platform
docker build --platform linux/amd64 -t myapp:amd64 .
# Build with no cache
docker build --no-cache -t myapp:fresh .
Multi-Platform Builds
# Create builder
docker buildx create --name multiplatform --use
# Build for multiple architectures
docker buildx build \
--platform linux/amd64,linux/arm64 \
-t myregistry/myapp:latest \
--push .
Running Containers
Basic Operations
# Run container
docker run -d --name myapp -p 8080:3000 myapp:latest
# Run with environment variables
docker run -d \
-e DATABASE_URL=postgres://localhost/db \
-e NODE_ENV=production \
myapp:latest
# Run with resource limits
docker run -d \
--memory="512m" \
--cpus="1.0" \
myapp:latest
# Run with restart policy
docker run -d --restart=unless-stopped myapp:latest
Volume Management
# Named volume
docker volume create mydata
docker run -v mydata:/app/data myapp:latest
# Bind mount
docker run -v "$(pwd)/config:/app/config:ro" myapp:latest
# tmpfs mount (memory)
docker run --tmpfs /tmp:rw,noexec,nosuid myapp:latest
Networking
# Create network
docker network create mynetwork
# Run on network
docker run -d --network mynetwork --name api myapp:latest
# Connect existing container
docker network connect mynetwork existing-container
# Expose specific ports
docker run -d -p 127.0.0.1:8080:3000 myapp:latest
Container Lifecycle
Management Commands
# List containers
docker ps -a
# Stop container
docker stop myapp
# Remove container
docker rm myapp
# Force remove running container
docker rm -f myapp
# Prune stopped containers
docker container prune -f
Logs and Monitoring
# View logs
docker logs myapp
# Follow logs
docker logs -f --tail 100 myapp
# View resource usage
docker stats myapp
# Inspect container
docker inspect myapp
Debugging Containers
Interactive Access
# Execute command in running container
docker exec -it myapp /bin/sh
# Run container with shell
docker run -it --rm myapp:latest /bin/sh
# Debug failed container
…
FAQ
What is a Docker container?
It's like an isolated box that contains everything an application needs to run: code, libraries, and tools. This ensures the application works the same way on any computer.
What is a Dockerfile?
It's a text file with step-by-step instructions that Docker follows to build an image. It defines the environment and how the application should be set up inside the container.
Do I need to know how to code to use Docker?
It's helpful to have basic command-line knowledge and understand how your application works. The tool assists with the specific Docker commands.
Details
Original description by the author
Build, optimize, and troubleshoot Docker containers and images.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2862
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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