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Research-mind digitalocean-agentic-cloud

DigitalOcean Gradient AI agentic cloud and AI platform for building, training, and deploying AI agents on GPU infrastructure with foundation models, knowledge bases, and agent routes. Use when planning or operating AI agents on DigitalOcean.

install
source · Clone the upstream repo
git clone https://github.com/MacPhobos/research-mind
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/MacPhobos/research-mind "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/toolchains-platforms-deployment-digitalocean-agentic-cloud" ~/.claude/skills/macphobos-research-mind-digitalocean-agentic-cloud && rm -rf "$T"
manifest: .claude/skills/toolchains-platforms-deployment-digitalocean-agentic-cloud/SKILL.md
source content

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: