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Found 40 Skills
Create optimized Docker containers with multi-stage builds, security best practices, and minimal image sizes. Use when containerizing applications, creating Dockerfiles, optimizing container images, or setting up Docker Compose services.
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
Docker containerization fundamentals. Master container lifecycle, image management, networking, volumes, resource limits, and production deployment patterns. Use when building, running, debugging containers or implementing container orchestration.
Docker containerization best practices and patterns
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.
Automate application deployment to cloud platforms and servers. Use when setting up CI/CD pipelines, deploying to Docker/Kubernetes, or configuring cloud infrastructure. Handles GitHub Actions, Docker, Kubernetes, AWS, Vercel, and deployment best practices.
Comprehensive Docker best practices for images, containers, and production deployments
Docker containerization for packaging applications with dependencies into isolated, portable units ensuring consistency across development, testing, and production environments.
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check failures, version conflicts.
Expert in deploying backends to EC2 instances using CI/CD pipelines, Docker containers, and GitHub Actions