Is it compatible with existing Dockerfiles?

Yes, the skill can analyze your current Dockerfile and provide a 'before and after' comparison to demonstrate specific size and performance improvements.

Can it help with slow Docker builds in CI/CD?

Yes, it optimizes layer caching by placing frequently changed files like source code after rarely changed files like dependencies, and it utilizes BuildKit cache mounts for package managers.

How does this skill reduce Docker image size?

It implements strategies such as selecting minimal base images like Alpine or Distroless, using multi-stage builds to exclude build-time dependencies, and consolidating RUN layers to prevent caching unnecessary files.

Does this skill provide runtime configurations?

Absolutely. It provides templates for setting CPU and memory limits, configuring health checks, and implementing non-root user security for production-ready containers.

Docker Performance & Image Optimization

Name: Docker Performance & Image Optimization
Author: pluginagentmarketplace

bypluginagentmarketplace

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部署与 DevOps

Optimizes Docker images and containers for reduced size, faster build times, and enhanced runtime performance using modern best practices.

关于

This skill empowers Claude to analyze and refine Dockerfiles and container configurations to ensure they meet industry-leading standards for 2024-2025. It provides automated guidance on selecting minimal base images like Alpine or Distroless, implementing efficient multi-stage builds, leveraging BuildKit caching, and configuring resource limits for production environments. It is particularly useful for DevOps engineers and developers looking to streamline CI/CD pipelines, reduce cloud infrastructure costs, and improve deployment reliability.

主要功能

Build speed acceleration through BuildKit cache mounts and optimized layer ordering
1 GitHub stars
Runtime performance tuning including CPU and memory resource limits
Advanced image size reduction using minimal base images and multi-stage builds
Deep-dive analysis recommendations for image layers and build context
Automated cleanup strategies for package manager caches and unnecessary build artifacts

使用场景

Preparing containers for Kubernetes or production environments with proper resource constraints
Shrinking bloated production images to reduce storage costs and deployment times
Fixing slow CI/CD pipelines by optimizing Docker build cache utilization

关于

主要功能

Build speed acceleration through BuildKit cache mounts and optimized layer ordering
1 GitHub stars
Runtime performance tuning including CPU and memory resource limits
Advanced image size reduction using minimal base images and multi-stage builds
Deep-dive analysis recommendations for image layers and build context
Automated cleanup strategies for package manager caches and unnecessary build artifacts

使用场景

Preparing containers for Kubernetes or production environments with proper resource constraints
Shrinking bloated production images to reduce storage costs and deployment times
Fixing slow CI/CD pipelines by optimizing Docker build cache utilization