Enterprise Ai logo

Enterprise Ai

Organization
oracle
enterprise-ai

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model endpoints, private endpoints, vector stores, File Search, Code Interpreter, MCP tools, SQL Search, hosted agentic applications, and Oracle platform integrations. Use when the user asks for OCI Generative AI, Enterprise AI Models, Enterprise AI Agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud, OCI Generative AI pricing or cost estimator inputs, or a simplified path across OCI, Autonomous Database, APEX, and other Oracle services.

Overview

Publisheroracle
Repositoryskills
Skill nameenterprise-ai
Stars
879
Forks
251
Bundled files
10
LicenseUPL-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by oracle on GitHub. Read the source before you install it.

Installation

Install the Enterprise Ai AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/oracle/skills/tree/main/oci/enterprise-ai
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/oracle/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/oci/enterprise-ai .claude/skills/enterprise-ai
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Enterprise Ai in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Enterprise Ai on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Enterprise Ai is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OCI Enterprise AI Skills

Use this OCI subdomain as the front door for Oracle Enterprise AI work. Start here when the user goal is about the AI outcome rather than a specific Oracle service name.

How to Use This Domain

  1. Start with the user journey table below.
  2. Read only the smallest topic file that matches the task.
  3. Route database-owned implementation details to db/features/ instead of duplicating Select AI, vector search, or DBMS_VECTOR guidance.

Directory Structure

text
oci/enterprise-ai/
├── models/
├── agent-workflows/
├── governance/
├── data/
├── cost/
├── integrations/
└── agents/
    └── openai.yaml

User Journey Routing

User GoalStart With
Choose or invoke OCI-hosted models, embeddings, rerank, endpoints, or dedicated servingmodels/enterprise-ai-models.md
Import, fine-tune, host, or lifecycle-manage a custom modelmodels/custom-and-imported-models.md
Build an API-first agent with OpenAI-compatible OCI APIsagent-workflows/responses-api-agents.md
Deploy a packaged agent runtime on OCI-managed infrastructureagent-workflows/hosted-applications.md
Choose the right tool pattern: File Search, Code Interpreter, Function Calling, MCP, or SQL Searchagent-workflows/agent-tools.md
Ground answers in documents, vector stores, SQL, or Oracle Database vector searchdata/rag-and-search.md
Estimate OCI Generative AI or OCI Generative AI Agents cost driverscost/cost-estimation.md
Secure model or agent access with IAM, private networking, OAuth, guardrails, or audit controlsgovernance/private-endpoints-and-governance.md
Connect Enterprise AI to Autonomous Database, APEX, Oracle Integration, Fusion, or OCI AI Servicesintegrations/oracle-platform-integrations.md

Key Starting Points

  • oci/enterprise-ai/models/enterprise-ai-models.md
  • oci/enterprise-ai/models/custom-and-imported-models.md
  • oci/enterprise-ai/agent-workflows/responses-api-agents.md
  • oci/enterprise-ai/agent-workflows/hosted-applications.md
  • oci/enterprise-ai/agent-workflows/agent-tools.md
  • oci/enterprise-ai/data/rag-and-search.md
  • oci/enterprise-ai/cost/cost-estimation.md
  • oci/enterprise-ai/governance/private-endpoints-and-governance.md

Common Multi-Step Flows

TaskRecommended Sequence
Build a governed enterprise assistantresponses-api-agents -> agent-tools -> rag-and-search -> cost-estimation -> private-endpoints-and-governance
Move from model experimentation to production servingenterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Bring a custom model into OCI servingcustom-and-imported-models -> enterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Deploy a packaged agent runtimeresponses-api-agents -> hosted-applications -> cost-estimation -> private-endpoints-and-governance
Build RAG over filesrag-and-search -> agent-tools -> cost-estimation -> responses-api-agents
Build RAG over Oracle Databaserag-and-search -> db/features/vector-search.md -> db/features/dbms-vector.md -> db/features/select-ai.md when in-database generation is needed
Add AI to APEX or Autonomous Database appsoracle-platform-integrations -> relevant db/features/ or apex/apexlang/ guidance
Design production access controlsprivate-endpoints-and-governance -> enterprise-ai-models or responses-api-agents depending on workload

Scope Boundaries

  • Keep cloud-side model, agent, tool, endpoint, hosting, and governance decisions in this domain.
  • Use db/features/select-ai.md, db/features/vector-search.md, db/features/dbms-vector.md, and db/features/ai-profiles.md for Oracle Database-owned AI implementation.
  • Use apex/apexlang/ for APEX application artifact generation and APEX AI agent component templates.
  • Prefer official Oracle documentation for model availability, supported tools, IAM verbs, endpoint formats, and service limits because Enterprise AI services change frequently.

Sources

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Enterprise Ai AI skill do?

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model endpoints, private endpoints, vector stores, File Search, Code Interpreter, MCP tools, SQL Search, hosted agentic applications, and Oracle platform integrations. Use when the user asks for OCI Generative AI, Enterprise AI Models, Enterprise AI Agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud, OCI Generative AI pricing or cost estimator inputs, or a simplified path across...

Why use Enterprise Ai on TypingMind?

Because you install it once and use it with any model. Enterprise Ai is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Enterprise Ai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/skills/tree/main/oci/enterprise-ai. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Enterprise Ai?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Enterprise Ai?

As many as you like. As long as a model supports skills, you can use Enterprise Ai with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Enterprise Ai AI skill free?

Yes. It is published on GitHub by oracle under the UPL-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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