Digitalocean Agentic Cloud

This covers DigitalOcean's Gradient AI services for running AI agents on managed GPU infrastructure. You'd reach for it when deploying agents that need foundation models, knowledge bases, and routing logic without managing the underlying compute yourself. The skill distinguishes between Agentic Cloud (full workflow management) and the AI Platform (GPU-backed inference with more control). Documentation links are solid, though the skill itself is more of a reference guide than an interactive tool since it disables model invocation. Best suited for planning your agent architecture on DigitalOcean rather than real-time operations.

skills.sh installs: 334
GitHub stars: 79
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add bobmatnyc/claude-mpm-skills --skill digitalocean-agentic-cloud --agent claude-code

Installs into .claude/skills of the current project.

Files

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.