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enterprise-ai

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Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or

Об этом скилле

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

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

User Journey Routing

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

Task Recommended Sequence
Build a governed enterprise assistant responses-api-agents -> agent-tools -> rag-and-search -> cost-estimation -> private-endpoints-and-governance
Move from model experimentation to production serving enterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Bring a custom model into OCI serving custom-and-imported-models -> enterprise-ai-models -> cost-estimation -> private-endpoints-and-governance
Deploy a packaged agent runtime responses-api-agents -> hosted-applications -> cost-estimation -> private-endpoints-and-governance
Build RAG over files rag-and-search -> agent-tools -> cost-estimation -> responses-api-agents
Build RAG over Oracle Database rag-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 apps oracle-platform-integrations -> relevant db/features/ or apex/apexlang/ guidance
Design production access controls private-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

Установить enterprise-ai в Claude Code и Claude Desktop

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Разрешённые инструменты

Инструменты, которые скиллу разрешено вызывать.

Без ограничений — скилл может использовать любой инструмент.

Вложенные файлы

agent-workflows/agent-tools.mdagent-workflows/hosted-applications.mdagent-workflows/responses-api-agents.mdagents/openai.yamlcost/cost-estimation.mddata/rag-and-search.mdgovernance/private-endpoints-and-governance.mdintegrations/oracle-platform-integrations.mdmodels/custom-and-imported-models.mdmodels/enterprise-ai-models.md

FAQ

Что делает скилл 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.

Как установить скилл enterprise-ai?

Скопируй папку скилла в ~/.claude/skills (вкладка Claude Code выше делает это одной командой), либо поставь как плагин.

Скилл enterprise-ai запускает скрипты?

Нет, скилл состоит только из инструкций (SKILL.md), без исполняемых скриптов.

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