What problem does it solve?
Docker containerization often gets done in a way that causes fragile builds, bloated images, insecure runtime behavior, and hard-to-debug deployments. This skill fixes those issues by enforcing multi-stage, cache-friendly Dockerfiles and safer production practices.
Core Features & Use Cases
- Multi-stage builds for smaller, faster images: Separate
builder and production stages so the runtime image copies only compiled output.
- Non-root container runtime: Switch to a non-root user (e.g.,
node) before the CMD or ENTRYPOINT to reduce impact of potential exploits.
- Runtime secret injection: Use
docker-compose environment injection (e.g., env_file) instead of baking secrets into image layers.
- Deployment health signals: Add
HEALTHCHECK (and recommend a /health endpoint) so Docker/Kubernetes can detect unhealthy containers.
- Cache-friendly COPY ordering: Copy package manifests first and run dependency installation before copying the rest of the source to maximize layer cache reuse.
Quick Start
Provide your existing Dockerfile and docker-compose.yml to an AI agent and ask it to rewrite them using multi-stage builds, pinned base tags, runtime env-based secrets, a non-root USER, and a production HEALTHCHECK.