mcpbeat Sign in

Writing Dockerfiles Agent Skill

Writing optimized, secure, multi-stage Dockerfiles with language-specific patterns (Python, Node.js, Go, Rust), BuildKit features, and distroless images. Use when containerizing applications, optimizing existing Dockerfiles, or reducing image sizes.

38k tokens
context cost
the whole folder, loaded on every use
16
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
394
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/ancoleman/ai-design-components --skill writing-dockerfiles

The instruction itself

21 sections, as written by the author

Writing Dockerfiles

Create production-grade Dockerfiles with multi-stage builds, security hardening, and language-specific optimizations.

When to Use This Skill

Invoke when:

  • "Write a Dockerfile for [Python/Node.js/Go/Rust] application"
  • "Optimize this Dockerfile to reduce image size"
  • "Use multi-stage build for..."
  • "Secure Dockerfile with non-root user"
  • "Use distroless base image"
  • "Add BuildKit cache mounts"
  • "Prevent secrets from leaking in Docker layers"

Quick Decision Framework

Ask three questions to determine the approach:

1. What language?

  • Python → See references/python-dockerfiles.md
  • Node.js → See references/nodejs-dockerfiles.md
  • Go → See references/go-dockerfiles.md
  • Rust → See references/rust-dockerfiles.md
  • Java → See references/java-dockerfiles.md

2. Is security critical?

  • YES → Use distroless runtime images (see references/security-hardening.md)
  • NO → Use slim/alpine base images

3. Is image size critical?

  • YES (<50MB) → Multi-stage + distroless + static linking
  • NO (<500MB) → Multi-stage + slim base images

Core Concepts

Multi-Stage Builds

Separate build environment from runtime environment to minimize final image size.

Pattern:

# Stage 1: Build
FROM build-image AS builder
RUN compile application

# Stage 2: Runtime
FROM minimal-runtime-image
COPY --from=builder /app/binary /app/
CMD ["/app/binary"]

Benefits:

  • 80-95% smaller images (excludes build tools)
  • Improved security (no compilers in production)
  • Faster deployments
  • Better layer caching

Base Image Selection

Decision matrix:

| Language | Build Stage | Runtime Stage | Final Size |

|----------|-------------|---------------|------------|

| Go (static) | golang:1.22-alpine | gcr.io/distroless/static-debian12 | 10-30MB |

| Rust (static) | rust:1.75-alpine | scratch | 5-15MB |

| Python | python:3.12-slim | python:3.12-slim | 200-400MB |

| Node.js | node:20-alpine | node:20-alpine | 150-300MB |

| Java | maven:3.9-eclipse-temurin-21 | eclipse-temurin:21-jre-alpine | 200-350MB |

Distroless images (Google-maintained):

  • gcr.io/distroless/static-debian12 → Static binaries (2MB)
  • gcr.io/distroless/base-debian12 → Dynamic binaries with libc (20MB)
  • gcr.io/distroless/python3-debian12 → Python runtime (60MB)
  • gcr.io/distroless/nodejs20-debian12 → Node.js runtime (150MB)

See references/base-image-selection.md for complete comparison.

BuildKit Features

Enable BuildKit for advanced caching and security:

export DOCKER_BUILDKIT=1
docker build .
# OR
docker buildx build .

Key features:

  • --mount=type=cache → Persistent package manager caches
  • --mount=type=secret → Inject secrets without storing in layers
  • --mount=type=ssh → SSH agent forwarding for private repos
  • Parallel stage execution
  • Improved layer caching

See references/buildkit-features.md for detailed patterns.

Layer Optimization

Order Dockerfile instructions from least to most frequently changing:

# 1. Base image (rarely changes)
FROM python:3.12-slim

# 2. System packages (rarely changes)
RUN apt-get update && apt-get install -y build-essential

# 3. Dependencies manifest (changes occasionally)
COPY requirements.txt .
RUN pip install -r requirements.txt

# 4. Application code (changes frequently)
COPY . .

# 5. Runtime configuration (rarely changes)
CMD ["python", "app.py"]

BuildKit cache mounts:

RUN --mount=type=cache,target=/root/.cache/pip \
    pip install -r requirements.txt

Cache persists across builds, eliminating redundant downloads.

Security Hardening

Essential security practices:

1. Non-root users

# Debian/Ubuntu
RUN useradd -m -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Alpine
RUN adduser -D -u 1000 appuser && chown -R appuser:appuser /app
USER appuser

# Distroless (built-in)
USER nonroot:nonroot

2. Secret management

# ❌ NEVER: Secret in layer history
RUN git clone https://${GITHUB_TOKEN}@github.com/private/repo.git

# ✅ ALWAYS: BuildKit secret mount
RUN --mount=type=secret,id=github_token \
    TOKEN=$(cat /run/secrets/github_token) && \
    git clone https://${TOKEN}@github.com/private/repo.git

Build with:

docker buildx build --secret id=github_token,src=./token.txt .

3. Vulnerability scanning

# Trivy (recommended)
trivy image myimage:latest

# Docker Scout
docker scout cves myimage:latest

4. Health checks

HEALTHCHECK --interval=30s --timeout=3s --start-period=10s --retries=3 \
  CMD wget --no-verbose --tries=1 --spider http://localhost:8080/health || exit 1

See references/security-hardening.md for comprehensive hardening patterns.

.dockerignore Configuration

Create .dockerignore to exclude unnecessary files:

# Version control
.git
.gitignore

# CI/CD
.github
.gitlab-ci.yml

# IDE
.vscode
.idea

# Testing
tests/
coverage/
**/*_test.go
**/*.test.js

# Build artifacts
node_modules/
dist/
build/
target/
__pycache__/

# Environment
.env
.env.local
*.log

Reduces build context size and prevents leaking secrets.

Language-Specific Patterns

Python Quick Reference

Three approaches:

  • pip (simple) → Single-stage, requirements.txt
  • poetry (production) → Multi-stage, virtual environment
  • uv (fastest) → 10-100x faster than pip

Example: Poetry multi-stage

FROM python:3.12-slim AS builder
RUN --mount=type=cache,target=/root/.cache/pip \
    pip install poetry==1.7.1

COPY pyproject.toml poetry.lock ./
RUN poetry export -f requirements.txt --output requirements.txt

RUN --mount=type=cache,target=/root/.cache/pip \
    python -m venv /opt/venv && \
    /opt/venv/bin/pip install -r requirements.txt

FROM python:3.12-slim
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
USER 1000:1000
CMD ["python", "-m", "uvicorn", "main:app", "--host", "0.0.0.0"]

See references/python-dockerfiles.md for complete patterns and examples/python-fastapi.Dockerfile.

Node.js Quick Reference

Key patterns:

  • Use npm ci (not npm install) for reproducible builds
  • Multi-stage: Build stage → Production dependencies only
  • Built-in node user (UID 1000)
  • Alpine variant smallest (~180MB vs 1GB)

Example: Express multi-stage

FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN --mount=type=cache,target=/root/.npm \
    npm ci
COPY . .
RUN npm run build
RUN npm prune --omit=dev

FROM node:20-alpine
WORKDIR /app
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/dist ./dist
USER node
CMD ["node", "dist/index.js"]

See references/nodejs-dockerfiles.md for npm/pnpm/yarn patterns and examples/nodejs-express.Dockerfile.

Go Quick Reference

Smallest possible images:

  • Static binary (CGO_ENABLED=0) + distroless = 10-30MB
  • Strip symbols with -ldflags="-s -w"
  • Cache both /go/pkg/mod and build cache

Example: Distroless static

FROM golang:1.22-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN --mount=type=cache,target=/go/pkg/mod \
    go mod download

COPY . .
RUN --mount=type=cache,target=/go/pkg/mod \
    --mount=type=cache,target=/root/.cache/go-build \
    CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o main .

FROM gcr.io/distroless/static-debian12
COPY --from=builder /app/main /app/main
USER nonroot:nonroot
ENTRYPOINT ["/app/main"]

See references/go-dockerfiles.md and examples/go-microservice.Dockerfile.

Rust Quick Reference

Ultra-small static binaries:

  • musl static linking → No libc dependencies
  • scratch base image (0 bytes overhead)
  • Final image: 5-15MB

Example: Scratch base

FROM rust:1.75-alpine AS builder
RUN apk add --no-cache musl-dev
WORKDIR /app

# Cache dependencies
COPY Cargo.toml Cargo.lock ./
RUN --mount=type=cache,target=/usr/local/cargo/registry \
    mkdir src && echo "fn main() {}" > src/main.rs && \
    cargo build --release --target x86_64-unknown-linux-musl && \
    rm -rf src

# Build application
COPY src ./src
RUN --mount=type=cache,target=/usr/local/cargo/registry \
    cargo build --release --target x86_64-unknown-linux-musl

FROM scratch
COPY --from=builder /app/target/x86_64-unknown-linux-musl/release/app /app
USER 1000:1000
ENTRYPOINT ["/app"]

See references/rust-dockerfiles.md and examples/rust-actix.Dockerfile.

Package Manager Cache Mounts

BuildKit cache mount locations:

| Language | Package Manager | Cache Mount Target |

|----------|----------------|-------------------|

| Python | pip | --mount=type=cache,target=/root/.cache/pip |

| Python | poetry | --mount=type=cache,target=/root/.cache/pypoetry |

| Python | uv | --mount=type=cache,target=/root/.cache/uv |

| Node.js | npm | --mount=type=cache,target=/root/.npm |

| Node.js | pnpm | --mount=type=cache,target=/root/.local/share/pnpm/store |

| Go | go mod | --mount=type=cache,target=/go/pkg/mod |

| Rust | cargo | --mount=type=cache,target=/usr/local/cargo/registry |

Persistent caches eliminate redundant package downloads across builds.

Validation and Testing

Validate Dockerfile quality:

# Lint Dockerfile
python scripts/validate_dockerfile.py Dockerfile

# Scan for vulnerabilities
trivy image myimage:latest

# Analyze image size
docker images myimage:latest
docker history myimage:latest

Compare optimization results:

# Before optimization
docker build -t myapp:before .

# After optimization
docker build -t myapp:after .

# Compare
bash scripts/analyze_image_size.sh myapp:before myapp:after

See scripts/validate_dockerfile.py for automated Dockerfile linting.

Upstream (provide input):

  • testing-strategies → Test application before containerizing
  • security-hardening → Application-level security before Docker layer

Downstream (consume Dockerfiles):

  • building-ci-pipelines → Build and push Docker images in CI
  • kubernetes-operations → Deploy containers to K8s clusters
  • infrastructure-as-code → Deploy containers with Terraform/Pulumi

Parallel (related context):

  • secret-management → Inject runtime secrets (K8s secrets, vaults)
  • observability → Container logging and metrics collection

Common Patterns Quick Reference

1. Static binary (Go/Rust) → Smallest image

  • Build: Language-specific builder image
  • Runtime: gcr.io/distroless/static-debian12 or scratch
  • Size: 5-30MB

2. Interpreted language (Python/Node.js) → Production-optimized

  • Build: Install dependencies, build artifacts
  • Runtime: Same base, production dependencies only
  • Size: 150-400MB

3. JVM (Java) → Optimized runtime

  • Build: Maven/Gradle with full JDK
  • Runtime: JRE-only image (alpine variant)
  • Size: 200-350MB

4. Security-critical → Maximum hardening

  • Base: Distroless images
  • User: Non-root (nonroot:nonroot)
  • Secrets: BuildKit secret mounts
  • Scan: Trivy/Docker Scout in CI

5. Development → Fast iteration

  • Base: Full language image (not slim)
  • Volumes: Mount source code
  • Hot reload: Language-specific tools
  • Not covered in this skill (see Docker Compose docs)

Anti-Patterns to Avoid

❌ Never:

  • Use latest tags (unpredictable builds)
  • Run as root in production
  • Store secrets in ENV vars or layers
  • Install unnecessary packages
  • Combine unrelated RUN commands (breaks caching)
  • Skip .dockerignore (bloated build context)

✅ Always:

  • Pin exact image versions (python:3.12.1-slim, not python:3)
  • Create and use non-root user
  • Use BuildKit secret mounts for credentials
  • Minimize layers and image size
  • Order commands from least to most frequently changing
  • Create .dockerignore file

Additional Resources

Base image registries:

  • Google Distroless: gcr.io/distroless/*
  • Docker Hub Official: python:*, node:*, golang:*
  • Red Hat UBI: registry.access.redhat.com/ubi9/*

Vulnerability scanners:

  • Trivy (recommended): trivy image myimage:latest
  • Docker Scout: docker scout cves myimage:latest
  • Grype: grype myimage:latest

Reference documentation:

  • references/base-image-selection.md → Complete base image comparison
  • references/buildkit-features.md → Advanced BuildKit patterns
  • references/security-hardening.md → Comprehensive security guide
  • Language-specific references in references/ directory
  • Working examples in examples/ directory

Other skills for the same job

different authors, same section of the catalogue
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Codex
by softaworks
×2

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

2k tokens
Memory Safety Patterns
by ComeOnOliver
×2

Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.

6k tokens
Pysam
by K-Dense-AI
×1

Python/HTSlib workflows for genomic files. Use when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.

34k tokens scripts
Scientific Critical Thinking
by K-Dense-AI
×1

Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.

26k tokens
Gh Fix CI
by openai
vendor ×1

Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.

8k tokens scripts
Declarative Agent Developer
by microsoft
vendor ×1

> Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. "scaffold an agent", "new agent project", "add a capability", "add a plugin", "configure my agent", "deploy my agent", "fix my agent manifest", "edit my agent", "localize my agent", "add localization", "translate my agent", "multi-language agent", "add an API plugin", "add an MCP plugin", "add OAuth to my plugin", "review instructions", "improve instructions", "fix my instructions"

66k tokens
Documentation
by lingxling
×1

Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.

1k tokens

How to use it

Copy the folder

Take ancoleman/writing-dockerfiles 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.

Install what it needs

The instructions reference pip, npm, apt. Without those the skill loads but fails at the first command.