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Configure Dockerfile

Checked
laurigates·vlatest·cloud·MIT

This skill automates Dockerfile creation & modification, streamlining container image building and deployment for efficient cloud workflows.

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 laurigates/claude-plugins --skill configure-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

laurigates

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.

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    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 laurigates/claude-plugins at 45d1d7dcf6.

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

Commit
45d1d7dcf6
Manifest
configure-plugin/skills/configure-dockerfile/SKILL.md
Scanned
1 file, 256 lines
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

The configure-dockerfile skill allows AI agents to generate, modify, and optimize Dockerfiles for containerized applications. It handles multi-stage builds, dependency management, and security best practices directly within code generation workflows.

When to use it

  • Automating the creation of production-ready Docker images from application source code.
  • Refactoring existing Dockerfiles to reduce image size or improve build times.
  • Implementing specific base images or entrypoint configurations for legacy applications.
  • Generating secure Dockerfiles that adhere to non-root user principles and layer caching strategies.

Key capabilities

  • Generates multi-stage Dockerfile structures to minimize final image footprint.
  • Manages FROM, RUN, COPY, and CMD instructions with proper syntax.
  • Supports environment variable configuration and volume mounting definitions.
  • Optimizes build stages by separating dependencies from application code.

Example prompts

"Create a multi-stage Dockerfile for a Node.js Express app that installs dependencies in one stage and copies only the production files to the final image." "Refactor this existing Dockerfile to use a smaller base image and add a non-root user for security compliance." "Generate a Dockerfile for a Python Flask application using slim base images and include health check instructions."

Tips & gotchas

Ensure your AI agent has access to the specific application code or dependency lists required to generate accurate RUN commands. Always review generated files for context-specific secrets before committing them to version control.