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Multi Stage Dockerfile

Official
github·vlatest·cloud·MIT

This skill generates a multi-stage Dockerfile for optimized image builds, reducing size and improving security by leveraging intermediate containers.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add github/awesome-copilot --skill multi-stage-dockerfile -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

github

Matched to the vendor's own GitHub organisation.

Install target

Live repository

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

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned github/awesome-copilot at 6c4d33b9cf.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6c4d33b9cf
Manifest
skills/multi-stage-dockerfile/SKILL.md
Scanned
0 files
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to generate and manage multi-stage Dockerfiles, which are used to build efficient container images by separating build-time dependencies from runtime dependencies. It supports creating optimized Docker images with minimal final size through techniques like caching and layer reuse.

When to use it

  • You need to create a Docker image that includes build tools during the build process but doesn't require them at runtime.
  • You want to reduce the final image size by removing unnecessary packages or dependencies after the build is complete.
  • You're working on a project with multiple stages, such as compiling code in one stage and running it in another.

Key capabilities

  • Generates multi-stage Dockerfiles with clear separation of build and runtime stages.
  • Optimizes image layers for efficient caching and reuse.
  • Supports common use cases like building Node.js, Python, or Go applications in containers.

Example prompts

  • "Create a multi-stage Dockerfile for a Node.js application."
  • "Write a Dockerfile that builds a Python app in one stage and runs it in another with minimal dependencies."
  • "Generate a multi-stage Dockerfile that compiles a Go binary and copies it into a lightweight runtime image."

Tips & gotchas

  • Ensure your base images are appropriate for each stage (e.g., use golang for the build stage and alpine for the runtime).
  • Be mindful of how layers are structured to maximize caching efficiency during repeated builds.