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Digitalocean Agentic Cloud

  • 218 installs
  • 63 repo stars
  • Updated July 18, 2026
  • bobmatnyc/claude-mpm-skills

Deploy and configure agent workloads on DigitalOcean agentic cloud—compute, networking, and services—when moving prototypes to a hosted production environment.

About

digitalocean-agentic-cloud from bobmatnyc/claude-mpm-skills guides deployment of agentic applications onto DigitalOcean's cloud stack. It covers provisioning, networking, and service setup so Claude agent prototypes become reachable, maintainable production workloads rather than local-only experiments.

  • DigitalOcean agent hosting
  • Cloud provisioning guidance
  • Agent endpoint deployment
  • Scalable agent infrastructure
  • Production readiness on DO

Digitalocean Agentic Cloud by the numbers

  • 218 all-time installs (skills.sh)
  • Ranked #448 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
  • Data as of Aug 1, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bobmatnyc/claude-mpm-skills --skill digitalocean-agentic-cloud

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Listed on Skillselion
Installs218
repo stars63
Last updatedJuly 18, 2026
Repositorybobmatnyc/claude-mpm-skills

What it does

Deploy and configure agent workloads on DigitalOcean agentic cloud—compute, networking, and services—when moving prototypes to a hosted production environment.

Files

SKILL.mdMarkdownGitHub ↗

DigitalOcean Agentic Cloud Skill

--- progressive_disclosure: entry_point: summary: "Gradient AI agentic cloud and AI platform for building, training, and deploying AI agents with GPU infrastructure, knowledge bases, and agent routes." when_to_use:

  • "When building or deploying AI agents on DigitalOcean"
  • "When selecting Gradient AI for GPU-backed inference"
  • "When designing agent workflows with knowledge bases and routes"

quick_start:

  • "Choose Gradient AI Agentic Cloud or Gradient AI Platform"
  • "Select foundation models and GPU resources"
  • "Attach knowledge bases and define agent routes"
  • "Deploy agents and monitor usage"

token_estimate: entry: 90-110 full: 3000-4200 ---

Overview

DigitalOcean Gradient AI provides managed infrastructure for building and deploying AI agents. Use Agentic Cloud for end-to-end agent workflows and the AI Platform for GPU-powered agent deployment.

Gradient AI Agentic Cloud

  • Build, train, and deploy AI agents on managed infrastructure.
  • Use managed resources to run agent workloads without manual GPU orchestration.

Gradient AI Platform

  • Use GPU-powered infrastructure for AI agents and inference.
  • Combine foundation models with knowledge bases.
  • Configure agent routes to direct traffic and workflows.

Agent Workflow

  • Select the target model and compute profile.
  • Prepare datasets and knowledge bases.
  • Define agent routes and inference behavior.
  • Deploy agents and observe runtime metrics.

Integration Considerations

  • Use object or block storage for datasets and artifacts.
  • Align deployment with VPC and access controls.
  • Track costs and usage in projects.

Complementary Skills

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

  • digitalocean-storage: Spaces, Volumes, and NFS for datasets.
  • digitalocean-compute: GPU Droplets or Kubernetes for adjacent workloads.
  • digitalocean-management: Monitoring and project organization.

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

Resources

DigitalOcean Docs:

  • Gradient AI Agentic Cloud: https://docs.digitalocean.com/products/gradient-ai-agentic-cloud/
  • Gradient AI Platform: https://docs.digitalocean.com/products/gradient-ai-platform/

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