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Digitalocean Containers Images

Checked
bobmatnyc·vlatest·cloud·MIT

This skill helps you quickly deploy and manage container images on DigitalOcean, simplifying application deployment and scaling for AI/ML workloads.

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 bobmatnyc/claude-mpm-skills --skill digitalocean-containers-images -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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
toolchains/platforms/deployment/digitalocean-containers-images/SKILL.md
Scanned
2 files, 108 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 enables AI agents to manage container images on DigitalOcean, including utilizing the Container Registry for private image storage and deployment. It allows users to leverage preconfigured images for quick Droplet creation, upload custom images for specific application stacks, and use snapshots to version and manage image lifecycles. This simplifies application deployment and scaling, particularly beneficial for AI/ML workloads that rely on containerized environments.

When to use it

  • When you need to store or deploy container images privately.
  • When you want to create Droplets quickly using preconfigured images from DigitalOcean's marketplace.
  • When you require custom Droplet images with specific software already installed.
  • For managing image versions and creating backups through snapshots.

Key capabilities

  • Container Registry Management: Create, authenticate build systems for pushing, and configure pulls from a private Container Registry on DigitalOcean.
  • Preconfigured Image Selection: Choose official or marketplace images when creating Droplets.
  • Custom Image Uploading: Upload custom images that meet DigitalOcean's requirements to use as Droplet bases.
  • Image Snapshotting: Create snapshots of configured Droplets for versioned image management and reusability.

Example prompts

  • "Create a Container Registry in the New York region."
  • "Upload my custom Docker image 'my-app:latest' to DigitalOcean."
  • "Take a snapshot of my current Droplet as an image named 'production-snapshot'."

Tips & gotchas

  • Ensure your uploaded custom images meet DigitalOcean’s requirements for compatibility.
  • Token estimates range from 90-110 tokens for a summary to 3500-4600 tokens for full execution, so plan prompt complexity accordingly.