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Writing Dockerfiles

Listed
ancoleman·vlatest·cloud·MIT

Generates optimized Dockerfiles from application requirements, streamlining containerization and deployment workflows.

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 ancoleman/ai-design-components --skill writing-dockerfiles -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

ancoleman

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 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.

  • No credential access: failed

    Touches credential material in 17 places.

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

    What it found (3 of 17)

    • skills/writing-dockerfiles/references/buildkit-features.md:268npm auth token
      echo "//registry.npmjs.org/:_authToken=$(cat /run/secrets/npm_token)" > ~/.npmrc && \
    • skills/writing-dockerfiles/references/buildkit-features.md:291.netrc credentials
      RUN --mount=type=secret,id=netrc,target=/root/.netrc \
    • skills/writing-dockerfiles/references/buildkit-features.md:326AWS credentials file
      RUN --mount=type=secret,id=aws,target=/root/.aws/credentials \
  • 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

    Only contacts known or declared hosts: aquasecurity.github.io.

    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.

    Hosts contacted

    aquasecurity.github.ioproject documentation
  • 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 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 ancoleman/ai-design-components at 76551b7b19.

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

Scanned
12 files, 5,334 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

What it does

This skill generates Dockerfile instructions based on provided requirements. It can create files for various application types, including Node.js and Python applications, ensuring proper environment setup and dependency installation. The generated Dockerfiles are designed to streamline the containerization process and improve deployment consistency.

When to use it

  • You need to quickly create a Dockerfile for a new project without manually writing all the instructions.
  • You want to standardize your development environments by containerizing existing applications.
  • You're deploying an application and require a reproducible build environment using Docker.
  • You’re migrating legacy applications to containers and need assistance generating initial Dockerfiles.

Key capabilities

  • Dockerfile generation for Node.js applications
  • Dockerfile generation for Python applications
  • Environment setup within the Dockerfile
  • Dependency installation instructions in the Dockerfile

Example prompts

  • "Create a Dockerfile for a Node.js application with Express and dependencies listed in package.json."
  • "Generate a Dockerfile for a Python Flask application, including requirements from requirements.txt."
  • "Write a Dockerfile that installs pip and then runs 'pip install -r requirements.txt'."

Tips & gotchas

  • Ensure you provide accurate dependency lists (e.g., package.json, requirements.txt) for the skill to generate correct instructions.
  • The generated Dockerfiles are starting points; review and customize them as needed for your specific application's needs.