Project Containerization Toolkit
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About this skill
Problem
Many projects have a README, config files, and scattered Dockerfiles, but no executable packaging and deployment path: build images and runtime images are mixed, configuration is not externalized, docker run misses mounts, and multi-component projects lack a shared artifact layout. This skill turns runnable code into reproducible engineering artifacts: buildable images, mountable configs, and documented deployment.
How It Works
It starts by reading project structure, README.md, deployment or install docs, existing Dockerfile files, .env*, application*.yml, and config/ paths, then writes deploy/analysis-report.md. It generates a tech-stack-specific deploy/Dockerfile.build and deploy/compose.build.yaml, using multi-stage builds to export JARs, dist/ output, binaries, or source plus dependencies into deploy/artifacts/. It then creates a minimal runtime deploy/Dockerfile, deploy/.env, deploy/config/, deploy/docker-run.sh, and deploy/compose.yaml, plus BUILD.md, DEPLOY.md, CONFIG.md, QUICKSTART.md, and CONTAINERIZATION.md.
Boundaries
Best for Python, Node.js, Java, Go, Rust, PHP, and Ruby single-service or multi-component projects. It focuses on containerization files and deployment notes, not cloud release workflows. Validate generated docs when non-root execution, hot reload, private registries, or complex networking are required. The default runtime user is root unless project documentation explicitly requires non-root.
Use Cases
- When inheriting a legacy Java service, separate Maven packaging, JAR export, and runtime image config into reusable files.
- Before deploying a Node.js frontend, generate dist artifacts, an nginx runtime image, and Compose orchestration notes.
- For multi-component microservices, unify the artifacts directory, config templates, and docker run mount parameters before release.
- Consolidate scattered Dockerfiles into build and runtime images, then add CONFIG and DEPLOY documentation.
Best For
- Ops engineers owning container delivery: standardize application packaging, image builds, and config mounts.
- Backend engineers taking over legacy projects: quickly generate buildable Dockerfiles and deployment notes.
- Server-side engineers preparing microservice releases: unify artifact directories, Compose files, and mount parameters.
- DevOps engineers writing release docs: organize config inventories and deployment commands into maintainable documentation.
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