ashish7802 Docker Skill
OS-level virtualization to deliver software in packages called containers.
Ecosystem Graph
graph LR
docker["Docker"]
docker -- "deploys to" --> kubernetes
docker -- "integrates with" --> github-actions
Quick Start
Docker packages your application and its dependencies into an immutable image, ensuring 'it works on my machine' scales to production.
docker build -t my-app .
docker run -p 8080:8080 my-app
Production Patterns
Multi-Stage Builds
Never ship build tools (like compilers or dev dependencies) in your final production image. Use a build stage to compile your code, then copy only the compiled artifacts into a distroless or alpine base image for the final stage.
Architecture & Scaling
Image Caching
Docker builds images in layers. Order your Dockerfile from least frequently changed (OS dependencies, package managers) to most frequently changed (source code). This ensures Docker caches the heavy steps and dramatically speeds up CI pipelines.
Error Recovery
Use a process manager like PM2 or tini as PID 1 inside your container to properly handle OS signals (SIGTERM/SIGINT) and reap zombie processes, allowing graceful shutdowns.
Security Notes
Never run your container as the root user. Explicitly create and switch to a non-root USER at the end of your Dockerfile. Scan your images using tools like Trivy or Docker Scout to catch CVEs before deployment.
Relationships
Works Well With: github-actions
Deploys To: kubernetes
References
Why use this skill
Use this when your agent works with docker — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Referencing CLI flags or config keys that do not exist
- Using outdated major versions of tools
- Skipping lockfile or version pinning in examples
Production checklist
- Secrets in environment variables, not source code
- Error handling and logging in place
- Rate limits and timeouts configured
Related skills
kubernetes— deploys togithub-actions— integrates with
Last Verified: 2026-07-02