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digitalocean-compute

digitalocean-compute

github.com/bobmatnycCloud & DevOps78420 installsUpdated 15w ago
Repository

About digitalocean-compute

A DigitalOcean compute skill for choosing and operating compute services, aimed at teams deploying applications and GPU workloads. It covers Droplets, App Platform, Functions, managed Kubernetes, and GPU options.

Key features

  1. 01Compute service selection guidance
  2. 02Droplet and network setup
  3. 03App Platform deployment guidance
  4. 04Functions configuration and monitoring
  5. 05Managed Kubernetes operations
  6. 06GPU compute options

Use cases

  1. 01Choosing compute for an application
  2. 02Deploying a Git-based or containerized app
  3. 03Planning Kubernetes workloads
  4. 04Selecting compute for AI or GPU-heavy tasks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill digitalocean-compute

After installing, type/digitalocean-computein Claude Code to confirm it loaded.

Bundled filesmetadata.json

Details

From the project README

DigitalOcean Compute Skill

progressive_disclosure: entry_point: summary: "Compute on DigitalOcean: Droplets, App Platform, Functions, Kubernetes, GPU Droplets, Bare Metal GPUs." when_to_use: - "When choosing a compute model for an application" - "When provisioning VMs, PaaS, serverless, or Kubernetes" - "When planning GPU-backed workloads" quick_start: - "Pick Droplets, App Platform, Functions, or Kubernetes" - "Select region, size, and image" - "Configure networking and access" - "Deploy and monitor workloads" token_estimate: entry: 90-110 full: 4000-5200

Overview

DigitalOcean compute includes VMs, managed PaaS, serverless functions, and managed Kubernetes, plus GPU offerings for AI workloads.

Droplets (VMs)

Use Droplets for full OS control and custom networking.

  • Choose region and Droplet plan.
  • Select an OS image or snapshot.
  • Add SSH keys for secure access.
  • Attach Volumes for persistent block storage.
  • Apply firewalls and VPC configuration.

App Platform (PaaS)

Use App Platform to deploy from Git or container images with managed build and runtime.

  • Connect a Git repository or container registry.
  • Define build and run commands or app spec.
  • Set environment variables and secrets.
  • Configure custom domains and HTTPS.

Functions (FaaS)

Use Functions for event-driven or lightweight API workloads.

  • Create a Functions namespace.
  • Deploy functions with doctl or the Control Panel.
  • Configure environment variables and triggers.
  • Monitor execution and logs.

Kubernetes (DOKS)

Use managed Kubernetes for multi-service container orchestration.

  • Create a cluster and node pools.
  • Save kubeconfig for cluster access.
  • Deploy workloads with Kubernetes manifests.
  • Pull images from Container Registry.

GPU Compute

Use GPU Droplets or Bare Metal GPUs for AI and ML workloads.

  • GPU Droplets: VM-based GPU workloads with flexible sizing.
  • Bare Metal GPUs: Dedicated GPU hardware for high performance.

Compute Selection Guide

  • Use Droplets for full control and custom configurations.
  • Use App Platform for managed app deployments from Git or containers.
  • Use Functions for event-driven workflows and micro APIs.
  • Use Kubernetes for multi-service container orchestration.
  • Use GPU Droplets or Bare Metal GPUs for AI or GPU-heavy workloads.

Complementary Skills

When using this skill, consider these related skills (if deployed):

  • digitalocean-containers-images: Registry and image workflows.
  • digitalocean-storage: Spaces, Volumes, and backups.
  • kubernetes: Cluster operations and troubleshooting.
  • docker: Container build and runtime patterns.

Note: Complementary skills are optional. This skill is fully functional without them.

Resources

DigitalOcean Docs:

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