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Dockerfile Optimizer

Listed
monkey1sai·vlatest·cloud

Optimizes Dockerfiles for smaller image sizes and faster builds, saving you time & resources in deployment.

Repository

Install on your platform

This skill no longer installs under the name dockerfile-optimizer. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

monkey1sai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Automated safety checks

scanned

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Not scanned. repository not found or private Source recorded as monkey1sai/openai-cli.
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About this skill

What it does

The monkey1sai-dockerfile-optimizer skill analyzes Dockerfiles and suggests improvements to reduce image size, build time, and overall complexity. It identifies inefficient commands, unnecessary layers, and potential security vulnerabilities within a Dockerfile. The tool aims to create more streamlined and efficient container images.

When to use it

  • Reducing Image Size: You want to shrink the size of your Docker images for faster deployments and reduced storage costs.
  • Optimizing Build Time: Your Docker build process is slow, and you need to accelerate it.
  • Improving Security: You're looking for potential security vulnerabilities within your Dockerfile.
  • Refactoring Existing Dockerfiles: You have legacy Dockerfiles that could benefit from modernization and optimization.

Key capabilities

  • Dockerfile analysis
  • Image size reduction suggestions
  • Build time optimization recommendations
  • Security vulnerability identification

Example prompts

  • "Optimize this Dockerfile: [paste Dockerfile content]"
  • "Can you find ways to reduce the image size of this Dockerfile? [paste Dockerfile content]"
  • "Analyze this Dockerfile for potential security vulnerabilities. [paste Dockerfile content]"

Tips & gotchas

The skill requires a valid Dockerfile as input. While it provides suggestions, review and understand each change before applying them to your production environment.