How does this skill handle sensitive credentials?

The skill follows security best practices by implementing Kubernetes Secrets, Docker environment variables, and GitHub Actions secrets to prevent sensitive data leakage.

Can I use this for local development environments?

Absolutely. It provides optimized Docker Compose configurations and local development patterns to ensure your local environment matches production as closely as possible.

Does it support automated image tagging?

Yes, it implements sophisticated tagging strategies including SemVer, Git SHA, and branch-specific tags to ensure traceable and reliable image management.

Can this skill help with Raspberry Pi deployments?

Yes, it specifically supports multi-architecture builds, targeting ARM64 and ARMv7 platforms which are standard for Raspberry Pi and other SBCs.

Container & Deployment Engineer

Name: Container & Deployment Engineer
Author: RicherTunes

byRicherTunes

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Deployment & DevOps

Automates containerization, Kubernetes orchestration, and CI/CD pipelines to ensure seamless software delivery and infrastructure management.

About

The Container & Deployment skill empowers Claude to function as a DevOps specialist, focusing on the lifecycle of containerized applications. It provides expert guidance on creating optimized Dockerfiles, managing multi-architecture builds for platforms like Raspberry Pi, and architecting scalable Kubernetes deployments. By implementing best practices for GitHub Actions, infrastructure as code, and registry management, this skill bridges the gap between local development and production-ready distribution, ensuring reliable and automated release cycles.

Key Features

Optimized Dockerfile creation with multi-stage builds and layer caching
Automated CI/CD pipeline integration via GitHub Actions and GHCR
Kubernetes orchestration using Helm charts and declarative manifests
Infrastructure as Code implementation via Terraform and Docker Compose
12 GitHub stars
Multi-architecture support for AMD64, ARM64, and ARMv7 platforms

Use Cases

Designing zero-downtime deployment strategies using Kubernetes or blue-green patterns
Automating the publishing of versioned images to GitHub Container Registry during releases
Building pre-packaged application images for one-click deployment in home lab environments

About

Key Features

Optimized Dockerfile creation with multi-stage builds and layer caching
Automated CI/CD pipeline integration via GitHub Actions and GHCR
Kubernetes orchestration using Helm charts and declarative manifests
Infrastructure as Code implementation via Terraform and Docker Compose
12 GitHub stars
Multi-architecture support for AMD64, ARM64, and ARMv7 platforms

Use Cases

Designing zero-downtime deployment strategies using Kubernetes or blue-green patterns
Automating the publishing of versioned images to GitHub Container Registry during releases
Building pre-packaged application images for one-click deployment in home lab environments