oracle-ai-blueprints

Select optimal OCI GenAI blueprints or accelerator packs for production workloads.

1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill oracle-ai-blueprints
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oracle-ai-blueprints
Source: https://github.com/oci-ai-architects/cline-oci-ai-architect-skills/tree/main/skills/oracle-ai-blueprints
Command: npx skills add https://github.com/oci-ai-architects/cline-oci-ai-architect-skills --skill oracle-ai-blueprints

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OCI AI Blueprints & Accelerator Packs simplify deploying GenAI workloads on OCI by offering a curated library of no-code deployment patterns and enterprise-ready accelerator packs.

Core Features & Use Cases

  • No-code deployment blueprints for GenAI on OCI to accelerate production workloads.
  • Prebuilt accelerator packs for common enterprise scenarios (routing, VQA, video analysis, etc.).
  • Decision guidance and references to industry fit and deployment architectures.

Quick Start

Load this skill and ask it to propose the best OCI blueprint or accelerator pack for your GenAI workload.

Frequently Asked Questions about oracle-ai-blueprints

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I deploy GenAI workloads on OCI without writing infrastructure code?

To deploy GenAI workloads on OCI without coding, use prebuilt OCI AI Blueprints and accelerator packs. These curated deployment patterns enable fast, no-code production rollouts for enterprise scenarios like LLM inference and video analysis.

Can I use OCI blueprints for multi-node LLM inference and autoscaling?

Yes, OCI blueprints support multi-node LLM inference deployments and autoscaling. The skill evaluates your production GenAI workload requirements and recommends the optimal accelerator pack or blueprint architecture for enterprise-scale operations.

What's the best way to choose an OCI accelerator pack for enterprise routing scenarios?

The best way to choose an OCI accelerator pack for enterprise routing is to load this skill and request a proposal. It provides decision guidance, prerequisites, and compatibility considerations for matching prebuilt packs to your specific industry scenario.

Do I need any prerequisites before applying an OCI GenAI blueprint for fine-tuning?

Yes, you need prerequisites before applying an OCI GenAI blueprint for fine-tuning. The skill provides specific compatibility considerations and environment requirements to ensure your OCI setup supports the selected no-code deployment pattern.

What are the limitations of using no-code blueprints for GenAI on OCI?

Limitations of no-code GenAI blueprints on OCI depend on your specific workload requirements. The skill provides usage guidance and compatibility considerations to help you determine if a prebuilt accelerator pack fits your production deployment architecture.