digitalocean-compute

📁 bobmatnyc/claude-mpm-skills 📅 Jan 23, 2026
29
总安装量
29
周安装量
#7159
全站排名
安装命令
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill digitalocean-compute

Agent 安装分布

claude-code 24
gemini-cli 19
antigravity 18
windsurf 17
github-copilot 17

Skill 文档

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: