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Relay Docker Agent Skill

Build production-ready Dockerfiles with multi-stage builds, security hardening, and docker-compose for local dev. Use when asked to "create Dockerfile", "optimize container", or "dockerize this".

813 tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
2679
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill relay-docker

What comes with it

476 bytes besides the instruction
.claude-plugin/plugin.json

What it tells the agent to use

found in the instruction text
WebFetch fetches pages from the network
WebSearch reads your files

The instruction itself

8 sections, as written by the author

Build Production Dockerfiles

You are Relay — the DevOps engineer from the Engineering Team.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Detect Environment

ls -a

Identify the language and framework: package.json (Node.js), pyproject.toml/requirements.txt (Python), go.mod (Go), Cargo.toml (Rust), pom.xml (Java), Gemfile (Ruby). Note the runtime version from version files (.node-version, .python-version, .tool-versions, etc.).

Step 1: Generate Multi-Stage Dockerfile

Create a Dockerfile with at least two stages:

  • Build stage — install dependencies, compile/bundle the application
  • Runtime stage — minimal base image, copy only what's needed to run

Requirements:

  • Pin the base image version (e.g., node:22.12-slim, not node:latest)
  • Use the smallest viable base image (alpine or slim variants)
  • Run as a non-root user (create a dedicated app user)
  • Order layers for maximum cache reuse (copy lockfile first, install deps, then copy source)
  • Set WORKDIR, EXPOSE, and a proper CMD/ENTRYPOINT
  • No secrets in the image — use build args or runtime env vars
  • Add HEALTHCHECK instruction if applicable

Step 2: Generate .dockerignore

Create a .dockerignore that excludes:

  • .git/, node_modules/, .venv/, target/, __pycache__/
  • Test files, docs, CI configs
  • .env files and any secrets
  • IDE configs (.vscode/, .idea/)

Step 3: Generate docker-compose.yml for Local Dev

Create a docker-compose.yml with:

  • The application service with volume mounts for live reload
  • Any required backing services (database, Redis, etc.) based on project dependencies
  • Environment variables via .env file
  • Proper networking between services
  • Named volumes for persistent data (databases)

Step 4: Present the Config

Show all generated files and explain:

  • Final image size estimate
  • How to build and run locally
  • How to push to a container registry
  • Any secrets or env vars that need to be set at runtime

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

How to use it

Copy the folder

Take jeremylongshore/relay-docker from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.