docker-optimization
OfficialOptimize Docker images for speed and size.
Authorapplied-artificial-intelligence
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill reduces the overhead of Docker image maintenance by teaching you how to shrink images, speed up builds, and harden security.
Core Features & Use Cases
- Multi-stage builds: dramatically reduce final image size by separating build-time tools from runtime.
- Layer caching strategies: optimize Dockerfile instructions to maximize cache hits during rebuilds.
- Security hardening: implement non-root execution, minimal base images, and integrated vulnerability scanning in CI.
- Use Case: In a microservices repository, apply the patterns to multiple services to achieve consistent, smaller, faster deployments.
Quick Start
Apply the docker-optimization patterns to your Dockerfile. Start with converting to a multi-stage build, reorder COPY instructions to improve caching, and enable non-root execution. Then run a local build to compare image size and build time.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: docker-optimization Download link: https://github.com/applied-artificial-intelligence/claude-code-toolkit/archive/main.zip#docker-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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