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Digitalocean Compute

Checked
bobmatnyc·vlatest·cloud·MIT

This skill lets you manage DigitalOcean Compute instances directly from your AI, simplifying server deployment and operations for developers.

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-compute -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-compute/SKILL.md
Scanned
2 files, 137 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 DigitalOcean compute resources, including Droplets (virtual machines), App Platform (PaaS), Functions (FaaS), and Kubernetes clusters. It allows for provisioning VMs with custom configurations, deploying applications using Git or container images, creating event-driven functions, and managing Kubernetes deployments – all directly through the agent. The skill supports GPU offerings for AI workloads as well.

When to use it

  • When deciding on a compute model (VMs, PaaS, serverless, Kubernetes) for an application.
  • To provision virtual machines (Droplets), deploy applications using App Platform, or create lightweight API functions.
  • For planning and deploying GPU-backed workloads.

Key capabilities

  • Droplet Management: Configuration of region, size, OS image, SSH keys, Volumes, firewalls, and VPC settings for VMs.
  • App Platform Deployment: Connecting Git repositories/container registries, defining build commands, setting environment variables, configuring domains & HTTPS.
  • Functions Creation: Creating namespaces, deploying functions via doctl or the Control Panel, managing triggers and monitoring execution.
  • Kubernetes Management: (Implied - not detailed) Managing Kubernetes clusters within DigitalOcean.
  • GPU Support: Provisioning GPU Droplets and Bare Metal GPUs for AI workloads.

Example prompts

  • "Create a new Droplet in the Frankfurt region with Ubuntu 22.04."
  • "Deploy my application from this GitHub repository to App Platform."
  • "Show me the logs for my DigitalOcean Function named 'image-processor'."

Tips & gotchas

  • Requires familiarity with DigitalOcean concepts like regions, Droplet plans, and OS images.
  • Token estimate indicates a relatively high token cost (4000-5200) for full functionality, suggesting complex operations may require significant context.
  • The skill leverages doctl for function deployment; ensure this tool is accessible if using that feature.