digitalocean-agentic-cloud

Name: digitalocean-agentic-cloud
Author: bobmatnyc

github.com/bobmatnycCloud & DevOps78327 installsUpdated 15w ago

About digitalocean-agentic-cloud

DigitalOcean Agentic Cloud Skill guides teams building and deploying AI agents with managed Gradient AI infrastructure. It covers GPU-backed inference, foundation models, knowledge bases, routes, and runtime monitoring.

Key features

01Build and deploy agents on managed infrastructure
02Use GPU resources for inference
03Combine foundation models and knowledge bases
04Configure agent routes
05Monitor runtime metrics

Use cases

01Deploy agents on DigitalOcean
02Plan GPU-backed inference workloads
03Direct agent traffic with routes
04Prepare datasets and knowledge bases

Install

Copy the command and run it in a terminal.

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

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

Bundled filesmetadata.json

Details

From the project README

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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Details

Author: bobmatnyc
Repository: bobmatnyc/claude-mpm-skills
Category: Cloud & DevOps
Installs: 327
GitHub stars: 78

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