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docker-optimizationDocker optimization 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

总安装

1,317

周安装

56

GitHub Stars

1

下载量

461
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docker-optimization(Docker optimization 部署)
来源仓库:https://github.com/pluginagentmarketplace/custom-plugin-docker
仓库路径:skills/docker-optimization
安装命令:
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-docker --skill docker-optimization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/pluginagentmarketplace/custom-plugin-docker --skill docker-optimization

简介

系统性优化镜像大小、构建速度与运行时性能三大核心指标。

  • 采用 BuildKit 前端、层合并技术与按需依赖安装策略提升效率。
  • 提供 distroless/static 等轻量基础镜像选型建议,集成多架构支持方案。
  • 需评估当前镜像体积与构建耗时,优先优化高频变更层以改善缓存命中率。
  • docker-optimization 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Docker Optimization Skill

Comprehensive optimization techniques for Docker images and containers covering size reduction, build caching, and runtime performance.

Purpose

Reduce image size, improve build times, and optimize container performance using 2024-2025 industry best practices.

Parameters

ParameterTypeRequiredDefaultDescription
targetenumNoallsize/build/runtime/all
base_imagestringNo-Current base image
current_sizestringNo-Current image size

Optimization Strategies

1. Image Size Reduction

Base Image Selection

BaseSizeUse Case
scratch0Static Go/Rust binaries
distroless2-20MBProduction containers
alpine5MBGeneral purpose
slim80-150MBWhen apt packages needed
full500MB+Development only
# Before: 1.2GB
FROM node:20

# After: 150MB (88% smaller)
FROM node:20-alpine

Layer Optimization

# Bad: 3 layers, 150MB
RUN apt-get update
RUN apt-get install -y curl
RUN rm -rf /var/lib/apt/lists/*

# Good: 1 layer, 50MB
RUN apt-get update && \
    apt-get install -y --no-install-recommends curl && \
    rm -rf /var/lib/apt/lists/*

Remove Unnecessary Files

# Clean package manager cache
RUN npm cache clean --force
RUN pip cache purge
RUN apt-get clean && rm -rf /var/lib/apt/lists/*

# Use .dockerignore
# node_modules, .git, *.md, tests/, docs/

2. Build Speed Optimization

Layer Caching Strategy

# Dependencies first (rarely change)
COPY package*.json ./
RUN npm ci

# Source code last (frequently changes)
COPY . .
RUN npm run build

BuildKit Cache Mounts

# syntax=docker/dockerfile:1
FROM node:20-alpine

# Cache npm packages
RUN --mount=type=cache,target=/root/.npm \
    npm ci

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

Parallel Multi-Stage

# Parallel stages (BuildKit)
FROM node:20-alpine AS deps
COPY package*.json ./
RUN npm ci

FROM deps AS builder
COPY . .
RUN npm run build

FROM deps AS linter
COPY . .
RUN npm run lint

3. Runtime Performance

Resource Limits

services:
  app:
    deploy:
      resources:
        limits:
          cpus: '1'
          memory: 512M
        reservations:
          cpus: '0.5'
          memory: 256M

Container Tuning

# Set memory limits
docker run --memory=512m --memory-swap=512m app

# CPU limits
docker run --cpus=1.5 app

# I/O limits
docker run --device-read-bps=/dev/sda:1mb app

Optimization Checklist

Size Checklist

  • Using smallest viable base image?
  • Multi-stage build implemented?
  • Package manager cache cleaned?
  • Dev dependencies excluded?
  • .dockerignore configured?

Build Speed Checklist

  • Dependencies copied before code?
  • BuildKit enabled?
  • Cache mounts used?
  • Parallel stages where possible?

Runtime Checklist

  • Resource limits set?
  • Health checks configured?
  • Non-root user?
  • Read-only filesystem where possible?

Analysis Tools

# Image size analysis
docker images --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}"

# Layer analysis
docker history <image> --format "{{.Size}}\t{{.CreatedBy}}"

# Deep dive analysis
dive <image>

# Build time analysis
DOCKER_BUILDKIT=1 docker build --progress=plain .

Error Handling

Common Issues

IssueCauseSolution
Large imageNo multi-stageImplement multi-stage
Slow buildsPoor layer orderDependencies before code
Cache not workingContext changesUse.dockerignore
OOM at runtimeNo limitsSet memory limits

Troubleshooting

Debug Checklist

  • BuildKit enabled? (DOCKER_BUILDKIT=1)
  • Cache being used? (Check build output)
  • .dockerignore working? (Check context size)
  • Layers optimized? (Run dive)

Usage

Skill("docker-optimization")

Related Skills

  • docker-multi-stage
  • dockerfile-basics
  • docker-production

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.42%
按下载量换算173

Claude

28.04%
按下载量换算129

Cursor

18.31%
按下载量换算84

Gemini CLI

8.78%
按下载量换算40

安全审计

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通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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