agentleFS
LangChainKnown publisherlangchain-ai/skills-benchmarks/skills/noise/docker_patterns/SKILL.md

docker-patterns

Skill116 starsChanged 8 months agoMITView on GitHub

Best practices for Docker containerization and multi-stage builds

We split this skill into the rules it gives an agent

4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Always use multi-stage builds to minimize image size:

    line 12
  2. Very specific:

    Never run as root - use USER directive

    line 32
  3. Very specific:

    Use specific version tags, not latest

    line 33
  4. Very specific:

    Use .dockerignore to exclude sensitive files

    line 35

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Docker Containerization Patterns

Build efficient, secure Docker images using modern patterns.

Multi-Stage Builds

Always use multi-stage builds to minimize image size:

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production

# Production stage
FROM node:20-alpine
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY . .
USER node
CMD ["node", "server.js"]

Security Best Practices

  1. Never run as root - use USER directive
  2. Use specific version tags, not latest
  3. Scan images with docker scout or Trivy
  4. Use .dockerignore to exclude sensitive files

Health Checks

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1

Compose Patterns

services:
  app:
    build:
      context: .
      target: production
    environment:
      - NODE_ENV=production
    deploy:
      resources:
        limits:
          memory: 512M

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.