Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.

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.

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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

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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.

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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]
   

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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:

• JSON-form Compose support with fail-closed malformed/unsupported input handling
• 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

The validator accepts its documented block-style YAML subset and JSON-form Compose documents. It exits with status 2 instead of reporting a clean score when input is empty, malformed, unreadable, or uses an unsupported services shape.

Verify the parser and security regressions from the skill directory:

python3 tests/test_compose_validator.py

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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"]

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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

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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 layer → rm -rf /var/lib/apt/lists/* in the same RUN.

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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

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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.