Skills Development Docker Container Optimization

Docker Container Optimization

v20260315
docker-development
Opinionated agent that turns bloated Dockerfiles and compose stacks into production-grade containers by optimizing layers, enabling multi-stage builds, orchestrating docker-compose services, and hardening container security for faster, smaller, and safer images.
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Overview

Docker Development

Smaller images. Faster builds. Secure containers. No guesswork.

Opinionated Docker workflow that turns bloated Dockerfiles into production-grade containers. Covers optimization, multi-stage builds, compose orchestration, and security hardening.

Not a Docker tutorial — a set of concrete decisions about how to build containers that don't waste time, space, or attack surface.


Slash Commands

Command What it does
/docker:optimize Analyze and optimize a Dockerfile for size, speed, and layer caching
/docker:compose Generate or improve docker-compose.yml with best practices
/docker:security Audit a Dockerfile or running container for security issues

When This Skill Activates

Recognize these patterns from the user:

  • "Optimize this Dockerfile"
  • "My Docker build is slow"
  • "Create a docker-compose for this project"
  • "Is this Dockerfile secure?"
  • "Reduce my Docker image size"
  • "Set up multi-stage builds"
  • "Docker best practices for [language/framework]"
  • Any request involving: Dockerfile, docker-compose, container, image size, build cache, Docker security

If the user has a Dockerfile or wants to containerize something → this skill applies.


Workflow

/docker:optimize — Dockerfile Optimization

  1. Analyze current state

    • Read the Dockerfile
    • Identify base image and its size
    • Count layers (each RUN/COPY/ADD = 1 layer)
    • Check for common anti-patterns
  2. Apply optimization checklist

    BASE IMAGE
    ├── Use specific tags, never :latest in production
    ├── Prefer slim/alpine variants (debian-slim > ubuntu > debian)
    ├── Pin digest for reproducibility in CI: image@sha256:...
    └── Match base to runtime needs (don't use python:3.12 for a compiled binary)
    
    LAYER OPTIMIZATION
    ├── Combine related RUN commands with && \
    ├── Order layers: least-changing first (deps before source code)
    ├── Clean package manager cache in the same RUN layer
    ├── Use .dockerignore to exclude unnecessary files
    └── Separate build deps from runtime deps
    
    BUILD CACHE
    ├── COPY dependency files before source code (package.json, requirements.txt, go.mod)
    ├── Install deps in a separate layer from code copy
    ├── Use BuildKit cache mounts: --mount=type=cache,target=/root/.cache
    └── Avoid COPY . . before dependency installation
    
    MULTI-STAGE BUILDS
    ├── Stage 1: build (full SDK, build tools, dev deps)
    ├── Stage 2: runtime (minimal base, only production artifacts)
    ├── COPY --from=builder only what's needed
    └── Final image should have NO build tools, NO source code, NO dev deps
    
  3. Generate optimized Dockerfile

    • Apply all relevant optimizations
    • Add inline comments explaining each decision
    • Report estimated size reduction
  4. Validate

    python3 scripts/dockerfile_analyzer.py Dockerfile
    

/docker:compose — Docker Compose Configuration

  1. Identify services

    • Application (web, API, worker)
    • Database (postgres, mysql, redis, mongo)
    • Cache (redis, memcached)
    • Queue (rabbitmq, kafka)
    • Reverse proxy (nginx, traefik, caddy)
  2. Apply compose best practices

    SERVICES
    ├── Use depends_on with condition: service_healthy
    ├── Add healthchecks for every service
    ├── Set resource limits (mem_limit, cpus)
    ├── Use named volumes for persistent data
    └── Pin image versions
    
    NETWORKING
    ├── Create explicit networks (don't rely on default)
    ├── Separate frontend and backend networks
    ├── Only expose ports that need external access
    └── Use internal: true for backend-only networks
    
    ENVIRONMENT
    ├── Use env_file for secrets, not inline environment
    ├── Never commit .env files (add to .gitignore)
    ├── Use variable substitution: ${VAR:-default}
    └── Document all required env vars
    
    DEVELOPMENT vs PRODUCTION
    ├── Use compose profiles or override files
    ├── Dev: bind mounts for hot reload, debug ports exposed
    ├── Prod: named volumes, no debug ports, restart: unless-stopped
    └── docker-compose.override.yml for dev-only config
    
  3. Generate compose file

    • Output docker-compose.yml with healthchecks, networks, volumes
    • Generate .env.example with all required variables documented
    • Add dev/prod profile annotations

/docker:security — Container Security Audit

  1. Dockerfile audit

    Check Severity Fix
    Running as root Critical Add USER nonroot after creating user
    Using :latest tag High Pin to specific version
    Secrets in ENV/ARG Critical Use BuildKit secrets: --mount=type=secret
    COPY with broad glob Medium Use specific paths, add .dockerignore
    Unnecessary EXPOSE Low Only expose ports the app uses
    No HEALTHCHECK Medium Add HEALTHCHECK with appropriate interval
    Privileged instructions High Avoid --privileged, drop capabilities
    Package manager cache retained Low Clean in same RUN layer
  2. Runtime security checks

    Check Severity Fix
    Container running as root Critical Set user in Dockerfile or compose
    Writable root filesystem Medium Use read_only: true in compose
    All capabilities retained High Drop all, add only needed: cap_drop: [ALL]
    No resource limits Medium Set mem_limit and cpus
    Host network mode High Use bridge or custom network
    Sensitive mounts Critical Never mount /etc, /var/run/docker.sock in prod
    No log driver configured Low Set logging: with size limits
  3. Generate security report

    SECURITY AUDIT — [Dockerfile/Image name]
    Date: [timestamp]
    
    CRITICAL: [count]
    HIGH:     [count]
    MEDIUM:   [count]
    LOW:      [count]
    
    [Detailed findings with fix recommendations]
    

Tooling

scripts/dockerfile_analyzer.py

CLI utility for static analysis of Dockerfiles.

Features:

  • Layer count and optimization suggestions
  • Base image analysis with size estimates
  • Anti-pattern detection (15+ rules)
  • Security issue flagging
  • Multi-stage build detection and validation
  • JSON and text output

Usage:

# Analyze a Dockerfile
python3 scripts/dockerfile_analyzer.py Dockerfile

# JSON output
python3 scripts/dockerfile_analyzer.py Dockerfile --output json

# Analyze with security focus
python3 scripts/dockerfile_analyzer.py Dockerfile --security

# Check a specific directory
python3 scripts/dockerfile_analyzer.py path/to/Dockerfile

scripts/compose_validator.py

CLI utility for validating docker-compose files.

Features:

  • Service dependency validation
  • Healthcheck presence detection
  • Network configuration analysis
  • Volume mount validation
  • Environment variable audit
  • Port conflict detection
  • Best practice scoring

Usage:

# Validate a compose file
python3 scripts/compose_validator.py docker-compose.yml

# JSON output
python3 scripts/compose_validator.py docker-compose.yml --output json

# Strict mode (fail on warnings)
python3 scripts/compose_validator.py docker-compose.yml --strict

Multi-Stage Build Patterns

Pattern 1: Compiled Language (Go, Rust, C++)

# Build stage
FROM golang:1.22-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 go build -ldflags="-s -w" -o /app/server ./cmd/server

# Runtime stage
FROM gcr.io/distroless/static-debian12
COPY --from=builder /app/server /server
USER nonroot:nonroot
ENTRYPOINT ["/server"]

Pattern 2: Node.js / TypeScript

# Dependencies stage
FROM node:20-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --production=false

# Build stage
FROM deps AS builder
COPY . .
RUN npm run build

# Runtime stage
FROM node:20-alpine
WORKDIR /app
RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
COPY --from=builder /app/dist ./dist
COPY --from=deps /app/node_modules ./node_modules
COPY package.json ./
USER appuser
EXPOSE 3000
CMD ["node", "dist/index.js"]

Pattern 3: Python

# Build stage
FROM python:3.12-slim AS builder
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir --prefix=/install -r requirements.txt

# Runtime stage
FROM python:3.12-slim
WORKDIR /app
RUN groupadd -r appgroup && useradd -r -g appgroup appuser
COPY --from=builder /install /usr/local
COPY . .
USER appuser
EXPOSE 8000
CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

Base Image Decision Tree

Is it a compiled binary (Go, Rust, C)?
├── Yes → distroless/static or scratch
└── No
    ├── Need a shell for debugging?
    │   ├── Yes → alpine variant (e.g., node:20-alpine)
    │   └── No → distroless variant
    ├── Need glibc (not musl)?
    │   ├── Yes → slim variant (e.g., python:3.12-slim)
    │   └── No → alpine variant
    └── Need specific OS packages?
        ├── Many → debian-slim
        └── Few → alpine + apk add

Proactive Triggers

Flag these without being asked:

  • Dockerfile uses :latest → Suggest pinning to a specific version tag.
  • No .dockerignore → Create one. At minimum: .git, node_modules, __pycache__, .env.
  • COPY . . before dependency install → Cache bust. Reorder to install deps first.
  • Running as root → Add USER instruction. No exceptions for production.
  • Secrets in ENV or ARG → Use BuildKit secret mounts. Never bake secrets into layers.
  • Image over 1GB → Multi-stage build required. No reason for a production image this large.
  • No healthcheck → Add one. Orchestrators (Compose, K8s) need it for proper lifecycle management.
  • apt-get without cleanup in same layerrm -rf /var/lib/apt/lists/* in the same RUN.

Installation

One-liner (any tool)

git clone https://github.com/alirezarezvani/claude-skills.git
cp -r claude-skills/engineering/docker-development ~/.claude/skills/

Multi-tool install

./scripts/convert.sh --skill docker-development --tool codex|gemini|cursor|windsurf|openclaw

OpenClaw

clawhub install cs-docker-development

Related Skills

  • senior-devops — Broader DevOps scope (CI/CD, IaC, monitoring). Complementary — use docker-development for container-specific work, senior-devops for pipeline and infrastructure.
  • senior-security — Application security. Complementary — docker-development covers container security, senior-security covers application-level threats.
  • autoresearch-agent — Can optimize Docker build times or image sizes as measurable experiments.
  • ci-cd-pipeline-builder — Pipeline construction. Complementary — docker-development builds the containers, ci-cd-pipeline-builder deploys them.
Info
Category Development
Name docker-development
Version v20260315
Size 17.58KB
Updated At 2026-03-17
Language