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Agent Skill · 研究检索

optimize-docker-build-cache(optimize Docker 构建缓存)

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。

optimize-docker-build-cache 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 52,586。

总安装 552周安装 23GitHub Stars 12下载 184核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:optimize-docker-build-cache(optimize Docker 构建缓存)
来源仓库:https://github.com/pjt222/development-guides
仓库路径:skills/optimize-docker-build-cache
安装命令:
npx skills add https://github.com/pjt222/development-guides --skill optimize-docker-build-cache
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/pjt222/development-guides --skill optimize-docker-build-cache

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于辅助云资源、部署、容器和运维自动化任务,支持配置检查与排障思路生成。适用于分析资源状态、整理部署步骤或辅助云服务接入的场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。使用时需明确目标环境、账号权限,并区分测试与生产操作边界。

optimize-docker-build-cache 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/optimize-docker-build-cache

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pjt222/development-guides --skill optimize-doc…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

optimize-docker-build-cache 怎么安装?

在终端执行 npx skills add https://github.com/pjt222/development-guides --skill optimize-docker-build-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

optimize-docker-build-cache 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

optimize-docker-build-cache 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

optimize-docker-build-cache 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

optimize-docker-build-cache 用的人多吗?

公开数据是累计安装 552 次,近一周安装 23 次,下载 184 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

optimize-docker-build-cache 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
optimize-docker-build-cache

optimize Docker 构建缓存 · 本页

55212接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Optimize Docker Build Cache

Reduce Docker build times through effective layer caching and build optimization.

When to Use

  • Docker builds are slow due to repeated package installations
  • Rebuilds reinstall all dependencies on every code change
  • Image sizes are unnecessarily large
  • CI/CD pipeline builds are a bottleneck

Inputs

  • Required: Existing Dockerfile to optimize
  • Optional: Target build time improvement
  • Optional: Target image size reduction

Procedure

Step 1: Order Layers by Change Frequency

Place least-changing layers first:

# 1. Base image (rarely changes)
FROM rocker/r-ver:4.5.0

# 2. System dependencies (change occasionally)
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev \
    libssl-dev \
    && rm -rf /var/lib/apt/lists/*

# 3. Dependency files only (change when deps change)
COPY renv.lock renv.lock
COPY renv/activate.R renv/activate.R
RUN R -e "renv::restore()"

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

Key principle: Docker caches each layer. When a layer changes, all subsequent layers are rebuilt. Dependency installation should come before source code copy.

Expected: The Dockerfile layers are ordered from least-changing (base image, system deps) to most-changing (source code), with dependency lockfiles copied before the full source.

On failure: If builds still reinstall dependencies on every code change, verify that COPY.. comes after the dependency installation RUN command, not before.

Step 2: Separate Dependency Installation from Code

Bad (rebuilds packages on every code change):

COPY . .
RUN R -e "renv::restore()"

Good (only rebuilds packages when lockfile changes):

COPY renv.lock renv.lock
RUN R -e "renv::restore()"
COPY . .

Same pattern for Node.js:

COPY package.json package-lock.json ./
RUN npm ci
COPY . .

Expected: Dependency lockfile (renv.lock, package-lock.json, requirements.txt) is copied and installed in a separate layer before the full source code COPY...

On failure: If the lockfile copy fails, ensure the file exists in the build context and is not excluded by .dockerignore.

Step 3: Use Multi-Stage Builds

Separate build dependencies from runtime:

# Build stage - includes dev tools
FROM rocker/r-ver:4.5.0 AS builder
RUN apt-get update && apt-get install -y \
    libcurl4-openssl-dev libssl-dev build-essential
COPY renv.lock .
RUN R -e "install.packages('renv'); renv::restore()"

# Runtime stage - minimal image
FROM rocker/r-ver:4.5.0
RUN apt-get update && apt-get install -y \
    libcurl4 libssl3 \
    && rm -rf /var/lib/apt/lists/*
COPY --from=builder /usr/local/lib/R/site-library /usr/local/lib/R/site-library
COPY . /app
WORKDIR /app
CMD ["Rscript", "main.R"]

Expected: The Dockerfile has a builder stage with dev tools and a runtime stage with only production dependencies. The final image is significantly smaller than a single-stage build.

On failure: If COPY --from=builder fails to find libraries, verify the install path matches between stages. Use docker build --target builder. to debug the build stage independently.

Step 4: Combine RUN Commands

Each RUN creates a layer. Combine related commands:

Bad (3 layers, apt cache persists):

RUN apt-get update
RUN apt-get install -y curl git
RUN rm -rf /var/lib/apt/lists/*

Good (1 layer, clean cache):

RUN apt-get update && apt-get install -y \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

Expected: Related apt-get or package install commands are combined into single RUN instructions, each ending with cache cleanup (rm -rf /var/lib/apt/lists/*).

On failure: If a combined RUN command fails midway, temporarily split it to identify the failing command, then recombine after fixing.

Step 5: Use.dockerignore

Prevent unnecessary files from entering the build context:

.git
.Rproj.user
.Rhistory
.RData
renv/library
renv/cache
node_modules
docs/
*.tar.gz
.env

Expected: A .dockerignore file exists in the project root excluding .git, node_modules, renv/library, build artifacts, and environment files. Build context size is noticeably smaller.

On failure: If needed files are missing in the container, check .dockerignore for overly broad patterns. Use docker build verbose output to verify which files are sent to the daemon.

Step 6: Enable BuildKit

DOCKER_BUILDKIT=1 docker build -t myimage .

Or in docker-compose.yml:

services:
  app:
    build:
      context: .
      dockerfile: Dockerfile

With COMPOSE_DOCKER_CLI_BUILD=1 and DOCKER_BUILDKIT=1 environment variables.

BuildKit enables:

  • Parallel stage builds
  • Better cache management
  • --mount=type=cache for persistent package caches

Expected: Builds run with BuildKit enabled (indicated by #1 [internal] load build definition style output). Multi-stage builds execute stages in parallel where possible.

On failure: If BuildKit is not active, verify the environment variables are exported before the build command. On older Docker versions, upgrade Docker Engine to 18.09+ for BuildKit support.

Step 7: Use Cache Mounts for Package Managers

# R packages with persistent cache
RUN --mount=type=cache,target=/usr/local/lib/R/site-library \
    R -e "install.packages('dplyr')"

# npm with persistent cache
RUN --mount=type=cache,target=/root/.npm \
    npm ci

Expected: Subsequent builds reuse cached packages from the mount, dramatically reducing install times even when the layer is invalidated. Cache persists across builds.

On failure: If --mount=type=cache is not recognized, ensure BuildKit is enabled (DOCKER_BUILDKIT=1). The syntax requires BuildKit and is not supported by the legacy builder.

Validation

  • Rebuilds after code-only changes are significantly faster
  • Dependency installation layer is cached when lockfile hasn't changed
  • .dockerignore excludes unnecessary files
  • Image size is reduced compared to unoptimized build
  • Multi-stage build (if used) separates build and runtime dependencies

Common Pitfalls

  • Copying all files before installing deps: Invalidates the dependency cache on every code change
  • Forgetting .dockerignore: Large build contexts slow down every build
  • Too many layers: Each RUN, COPY, ADD creates a layer. Combine where logical.
  • Not cleaning apt cache: Always end apt-get installs with && rm -rf /var/lib/apt/lists/*
  • Platform-specific caches: Cache layers are platform-specific. CI runners may not benefit from local caches.

Related Skills

  • create-r-dockerfile - initial Dockerfile creation
  • setup-docker-compose - compose build configuration
  • containerize-mcp-server - apply optimizations to MCP server builds

平台分布

Codex

36.46%
按下载量换算67

Claude

30.72%
按下载量换算57

Cursor

18.21%
按下载量换算34

Gemini CLI

8.02%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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