dockerfile-optimizer
Shrink Docker images by up to 90% and accelerate builds with multi-stage logic and security hardening.
- Implement multi-stage builds to strip build-time dependencies from images.
- Fix layer ordering to maximize Docker build cache hits and speed up CI/CD.
- Harden security by adding non-root users and removing unnecessary tools.
$9
One-time purchase
Included in download
- Implement multi-stage builds to strip build-time dependencies from images.
- Fix layer ordering to maximize Docker build cache hits and speed up CI/CD.
- terminal, network automation included
- Includes example output and usage patterns
See it in action
# Dockerfile Audit - Estimated size: 1.1 GB -> 180 MB - Findings: 1 Critical (running as root), 2 High (no multi-stage, bad caching) - Fix: Multi-stage build implemented; manifest files moved above source COPY. - Security: Added USER nodejs and HEALTHCHECK.
dockerfile-optimizer
Shrink Docker images by up to 90% and accelerate builds with multi-stage logic and security hardening.
$9
One-time purchase
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Implement multi-stage builds to strip build-time dependencies from images.
- Fix layer ordering to maximize Docker build cache hits and speed up CI/CD.
- terminal, network automation included
- Includes example output and usage patterns
- Instant install
See it in action
# Dockerfile Audit - Estimated size: 1.1 GB -> 180 MB - Findings: 1 Critical (running as root), 2 High (no multi-stage, bad caching) - Fix: Multi-stage build implemented; manifest files moved above source COPY. - Security: Added USER nodejs and HEALTHCHECK.
About This Skill
Optimize Your Container Workflow
The Dockerfile Optimizer is a specialized developer tool designed to transform bloated, slow, and insecure Docker configurations into production-ready assets. It solves the common problem of "black box" Dockerfiles that grow over time, leading to massive image sizes, sluggish CI/CD pipelines, and unnecessary security vulnerabilities.
What it does
By performing deep static analysis on your container configuration, this skill identifies critical inefficiencies across six major categories:
- Multi-stage builds: Strips out build-time tools (compilers, SDKs) to reduce image size by up to 90%.
- Layer Caching: Reorders instructions to ensure dependency layers aren't invalidated by minor source code changes.
- Security Hardening: Implements non-root users, removes unnecessary packages, and handles secrets securely.
- Base Image Selection: Recommends alpine, slim, or distroless variants tailored to your runtime.
- Observability: Automatically drafts HEALTHCHECK and LABEL directives.
Why use this skill?
Writing a Dockerfile that "works" is easy; writing one that is efficient requires deep knowledge of BuildKit mechanics and runtime-specific quirks. This skill provides an architectural audit and a ready-to-use optimized file, including a custom .dockerignore, significantly outperforming generic AI prompts by providing structured impact estimates and specific severity ratings from Critical to Low.
Supported Runtimes
Provides idiomatic optimizations for: Node.js, Python (pip/poetry/uv), Go, Java (Maven/Gradle), .NET, Ruby, PHP, and Rust.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
Use Cases
- Implement multi-stage builds to strip build-time dependencies from images.
- Fix layer ordering to maximize Docker build cache hits and speed up CI/CD.
- Harden security by adding non-root users and removing unnecessary tools.
- Generate optimal .dockerignore files to reduce build context overhead.
- Convert heavy base images to minimal alpine or slim variants safely.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/dockerfile-optimizer | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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