optimize-docker-build-cache
Acerca de
Esta habilidad proporciona técnicas de optimización de compilación de Docker utilizando caché de capas, compilaciones multi-etapa y BuildKit para reducir significativamente los tiempos de compilación. Está diseñada para proyectos de R, Node.js y Python donde las instalaciones repetidas de dependencias y los tamaños grandes de imágenes ralentizan el desarrollo. Úsela cuando los cambios en el código desencadenen recompilaciones completas o cuando las canalizaciones de CI/CD se conviertan en cuellos de botella.
Instalación rápida
Claude Code
Recomendadonpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/optimize-docker-build-cacheCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
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.
Got: 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.
If fail: 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 . .
Got: Dependency lockfile (renv.lock, package-lock.json, requirements.txt) is copied and installed in a separate layer before the full source code COPY . ..
If fail: 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"]
Got: 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.
If fail: 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/*
Got: Related apt-get or package install commands are combined into single RUN instructions, each ending with cache cleanup (rm -rf /var/lib/apt/lists/*).
If fail: 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
Got: 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.
If fail: 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=cachefor persistent package caches
Got: Builds run with BuildKit enabled (indicated by #1 [internal] load build definition style output). Multi-stage builds execute stages in parallel where possible.
If fail: 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
Got: Subsequent builds reuse cached packages from the mount, dramatically reducing install times even when the layer is invalidated. Cache persists across builds.
If fail: 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 has not changed
-
.dockerignoreexcludes unnecessary files - Image size is reduced compared to unoptimized build
- Multi-stage build (if used) separates build and runtime dependencies
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,ADDcreates 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 creationsetup-docker-compose- compose build configurationcontainerize-mcp-server- apply optimizations to MCP server builds
Repositorio GitHub
Habilidades relacionadas
content-collections
MetaEsta habilidad proporciona una configuración probada en producción para Content Collections, una herramienta centrada en TypeScript que transforma archivos Markdown/MDX en colecciones de datos con tipado seguro mediante validación Zod. Úsala al construir blogs, sitios de documentación o aplicaciones Vite + React con mucho contenido para garantizar seguridad de tipos y validación automática de contenido. Abarca todo, desde la configuración del plugin de Vite y compilación MDX hasta la optimización de despliegue y validación de esquemas.
polymarket
MetaEsta habilidad permite a los desarrolladores crear aplicaciones con la plataforma de mercados de predicción Polymarket, incluyendo la integración de API para operaciones y datos de mercado. También proporciona transmisión de datos en tiempo real a través de WebSocket para monitorear operaciones en vivo y actividad del mercado. Úsela para implementar estrategias de trading o crear herramientas que procesen actualizaciones de mercado en tiempo real.
creating-opencode-plugins
MetaEsta habilidad ayuda a los desarrolladores a crear complementos de OpenCode que se conectan a más de 25 tipos de eventos, como comandos, archivos y operaciones LSP. Proporciona la estructura del complemento, las especificaciones de la API de eventos y los patrones de implementación para módulos en JavaScript/TypeScript. Úsala cuando necesites interceptar, monitorear o extender el ciclo de vida del asistente de IA de OpenCode con lógica personalizada basada en eventos.
sglang
MetaSGLang es un framework de alto rendimiento para el servicio de LLM que se especializa en generación rápida y estructurada para JSON, expresiones regulares y flujos de trabajo de agentes utilizando su caché de prefijos RadixAttention. Ofrece una inferencia significativamente más rápida, especialmente para tareas con prefijos repetidos, lo que lo hace ideal para salidas complejas y estructuradas, y conversaciones multiturno. Elige SGLang sobre alternativas como vLLM cuando necesites decodificación restringida o estés construyendo aplicaciones con uso extensivo de prefijos compartidos.
