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Skills ZICQ category:Security docker-development

Docker Development

Use for any Dockerfile or docker-compose file to write, optimize or review, before editing it. Checks layers, caching, size and security with dockerfile_analyzer.py and validates compose files with compose_validator.py.

729 installs

Official URL:skills.sh

What this skill does

Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.

What it does

Use for any Dockerfile or docker-compose file to write, optimize or review, before editing it. Checks layers, caching, size and security with dockerfile_analyzer.py and validates compose files with compose_validator.py.

When to use it

The official description does not include a separate “Use when”. Per the spec, agents activate this skill when the task matches keywords in that description.

How agents load it

Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: Docker Development; Slash Commands; When This Skill Activates; Workflow; `/docker-development optimize` — Dockerfile Optimization; `/docker-development compose` — Docker Compose Configuration. It includes spec-recommended sections: step-by-step instructions.

File analysis

File analysis: besides SKILL.md, the body references scripts/dockerfile_analyzer.py, scripts/compose_validator.py, scripts/convert.sh, references/compose-patterns.md. Those resources load on demand.

Docker DevelopmentSlash CommandsWhen This Skill ActivatesWorkflow`/docker-development optimize` — Dockerfile Optimization`/docker-development compose` — Docker Compose Configuration`/docker-development security` — Container Security AuditTooling`scripts/dockerfile_analyzer.py`Analyze a DockerfileJSON outputAnalyze with security focus

· License:MIT

Source category:skills.sh agent-skill

SKILL.md & Agent activation

Official spec ↗
name
docker-development
description
Use for any Dockerfile or docker-compose file to write, optimize or review, before editing it. Checks layers, caching, size and security with dockerfile_analyzer.py and validates compose files with compose_validator.py.
License
MIT
  1. DiscoverThe client exposes names and descriptions to the agent.
  2. ActivateYour request or the task context selects the skill and loads its instructions.
  3. Load resourcesReferenced scripts, documentation and assets are used when needed.
Files referenced by the instructions · 4
  • scripts/dockerfile_analyzer.py
  • scripts/compose_validator.py
  • scripts/convert.sh
  • references/compose-patterns.md

These paths are extracted from the text. Check the upstream package to verify the files exist.

Invocation syntax and available tools depend on your Agent client. Client integration guide ↗

Install this skill

Skills CLI ↗

Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.

This skill references supporting files. Retrieve the complete directory from the source; copying SKILL.md alone may leave missing dependencies.

Ask your Agent to install

Copy these instructions to a compatible agent and confirm the target directory matches your client.

Install the agent skill "docker-development" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-1578eae6bb86c377-Docker-Development.html
Save it as .cursor/skills/docker-development/SKILL.md or .claude/skills/docker-development/SKILL.md and keep the frontmatter name and description exactly as-is.
This skill also ships scripts/, references/, or assets/ — fetch the whole folder from https://github.com/alirezarezvani/claude-skills instead of creating only a SKILL.md.

Full package on GitHub ↗

Install from the terminal · Skills CLI

Requires Node.js and npx. First inspect the repository's skill list to confirm the name.

npx skills add 'https://github.com/alirezarezvani/claude-skills' --list

npx skills add 'https://github.com/alirezarezvani/claude-skills' --skill 'docker-development'

The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.

Readable layout

name: "docker-development" description: "Use for any Dockerfile or docker-compose file to write, optimize or review, before editing it. Checks layers, caching, size and security with dockerfile_analyzer.py and validates compose files with compose_validator.py." license: MIT metadata: version: 1.0.0 author: Alireza Rezvani category: engineering updated: 2026-03-16

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-development optimize | Analyze and optimize a Dockerfile for size, speed, and layer caching | | /docker-development compose | Generate or improve docker-compose.yml with best practices | | /docker-development 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-development 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-development 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-development 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 layer → rm -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.

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