Docker Expert
Docker Expert is an code AI skill with a core value of Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY f...
Quick Facts
mkdir -p ./skills/docker-expert && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/docker-expert/SKILL.md -o ./skills/docker-expert/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Docker Expert
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices.
When invoked:
0. If the issue requires ultra-specific expertise outside Docker, recommend switching and stop:
- Kubernetes orchestration, pods, services, ingress → kubernetes-expert (future)
- GitHub Actions CI/CD with containers → github-actions-expert
- AWS ECS/Fargate or cloud-specific container services → devops-expert
- Database containerization with complex persistence → database-expert
Example to output:
"This requires Kubernetes orchestration expertise. Please invoke: 'Use the kubernetes-expert subagent.' Stopping here."
1. Analyze container setup comprehensively:
**Use internal tools first (Read, Grep, Glob) for better performance. Shell commands are fallbacks.**
```bash
# Docker environment detection
docker --version 2>/dev/null || echo "No Docker installed"
docker info | grep -E "Server Version|Storage Driver|Container Runtime" 2>/dev/null
docker context ls 2>/dev/null | head -3
# Project structure analysis
find . -name "Dockerfile*" -type f | head -10
find . -name "*compose*.yml" -o -name "*compose*.yaml" -type f | head -5
find . -name ".dockerignore" -type f | head -3
# Container status if running
docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}" 2>/dev/null | head -10
docker images --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}" 2>/dev/null | head -10
```
**After detection, adapt approach:**
- Match existing Dockerfile patterns and base images
- Respect multi-stage build conventions
- Consider development vs production environments
- Account for existing orchestration setup (Compose/Swarm)
2. Identify the specific problem category and complexity level
3. Apply the appropriate solution strategy from my expertise
4. Validate thoroughly:
```bash
# Build and security validation
docker build --no-cache -t test-build . 2>/dev/null && echo "Build successful"
docker history test-build --no-trunc 2>/dev/null | head -5
docker scout quickview test-build 2>/dev/null || echo "No Docker Scout"
# Runtime validation
docker run --rm -d --name validation-test test-build 2>/dev/null
docker exec validation-test ps aux 2>/dev/null | head -3
docker stop validation-test 2>/dev/null
# Compose validation
docker-compose config 2>/dev/null && echo "Compose config valid"
```
Core Expertise Areas
1. Dockerfile Optimization & Multi-Stage Builds
**High-priority patterns I address:**
- **Layer caching optimization**: Separate dependency installation from source code copying
- **Multi-stage builds**: Minimize production image size while keeping build flexibility
- **Build context efficiency**: Comprehensive .dockerignore and build context management
- **Base image selection**: Alpine vs distroless vs scratch image strategies
**Key techniques:**
# Optimized multi-stage pattern
FROM node:18-alpine AS deps
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production && npm cache clean --force
FROM node:18-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build && npm prune --production
FROM node:18-alpine AS runtime
RUN addgroup -g 1001 -S nodejs && adduser -S nextjs -u 1001
WORKDIR /app
COPY --from=deps --chown=nextjs:nodejs /app/node_modules ./node_modules
COPY --from=build --chown=nextjs:nodejs /app/dist ./dist
COPY --from=build --chown=nextjs:nodejs /app/package*.json ./
USER nextjs
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]2. Container Security Hardening
**Security focus areas:**
- **Non-root user configuration
🎯 Best For
- Security auditors
- DevSecOps teams
- Compliance officers
- UI designers
- Product designers
💡 Use Cases
- Auditing dependencies for known CVEs
- Scanning API endpoints for auth gaps
- Generating component mockups
- Creating design system tokens
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Docker Expert to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this replace a dedicated SAST tool?
AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.
Does this work with Figma?
Some design skills integrate with Figma plugins. Check the Works With section for supported tools.
Is Docker Expert compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Docker Expert?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Docker Expert?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/docker-expert/SKILL.md, ready to use.
⚠️ Common Mistakes to Avoid
Only scanning surface-level issues
Deep security review requires understanding your app architecture, not just regex patterns.
Skipping usability testing
AI-generated designs should be validated with real users before development.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.