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Oci

Organization
oracle
oci

Oracle Cloud Infrastructure guidance for designing, operating, and troubleshooting OCI services, including OCI Kubernetes Engine (OKE), OCI Internet of Things Platform, OCI Functions deployment and troubleshooting, and Enterprise AI workflows for OCI Generative AI models, Responses API agents, RAG, cost estimation, governance, private endpoints, hosted agentic applications, and Oracle platform integrations. Use when the user asks about OKE cluster design, Terraform or Resource Manager planning, OKE incident troubleshooting, Generic VNIC Attachment, Multus, pod networking, node pools, add-ons, ingress, load balancers, OCIR image pulls, Workload Identity, Kubernetes workloads on OCI, OCI IoT domains or digital twins, device publish flows, OCI Functions setup, deployment, invocation, or troubleshooting, OCI Generative AI, Enterprise AI Models, Enterprise AI Agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud, or OCI Generative AI pricing.

Overview

Publisheroracle
Repositoryskills
Skill nameoci
Stars
879
Forks
251
Bundled files
106
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.

  • 106 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 Oci 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
  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 .claude/skills/oci
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oci 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 Oci 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 Oci 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.

Oracle Cloud Infrastructure Skills

Use this domain for practical Oracle Cloud Infrastructure guidance. Current content covers OCI Kubernetes Engine (OKE): cluster design, operational troubleshooting, Generic VNIC Attachment (GVA), and Multus multi-interface pod validation. It covers OCI Internet of Things Platform resource discovery, digital twin lifecycle workflows, device publish flows, and optional MCP-assisted operation. It covers OCI Functions local deployment and diagnosis-first troubleshooting. It also covers Enterprise AI because that work is built around OCI Generative AI, OCI networking, IAM, cost estimation, hosted applications, and OCI platform integrations.

How to Use This Domain

  1. Start with the routing table below.
  2. Read only the smallest service file or nested skill that matches the user's task.
  3. Prefer official Oracle documentation and live read-only discovery commands before making design or remediation recommendations.
  4. Ask before running commands that create, update, delete, restart, scale, drain, or otherwise mutate OCI or Kubernetes resources.
  5. Keep OCI-owned design decisions here, and route database-owned SQL, vector, and Select AI implementation details to db/features/.

Directory Structure

text
oci/
├── SKILL.md
├── enterprise-ai/
│   ├── SKILL.md
│   ├── models/
│   ├── agent-workflows/
│   ├── governance/
│   ├── data/
│   ├── cost/
│   └── integrations/
├── functions/
│   ├── oci-functions-deploy/
│   │   ├── SKILL.md
│   │   ├── agents/
│   │   ├── references/
│   │   ├── scripts/
│   │   └── tests/
│   └── oci-functions-troubleshoot/
│       ├── SKILL.md
│       ├── agents/
│       └── references/
├── iot-platform/
│   ├── SKILL.md
│   ├── agents/
│   ├── references/
│   ├── scripts/
│   ├── templates/
│   └── tests/
└── oke/
    ├── cluster-design.md
    ├── troubleshooting.md
    ├── gva-node-pools.md
    ├── multus-multihome.md
    ├── skills/
    ├── scripts/
    ├── agents/
    ├── shared/
    ├── examples/
    └── tests/

Category Routing

TopicStart With
Design or scaffold an OKE cluster, Terraform stack, or OCI Resource Manager stackStart with oci/oke/cluster-design.md, then load oci/oke/skills/oke-cluster-generator/SKILL.md
Troubleshoot OKE workloads, pods, services, DNS, add-ons, ingress, load balancers, image pulls, storage, Workload Identity, or cluster accessStart with oci/oke/troubleshooting.md, then load oci/oke/skills/oke-troubleshooter/SKILL.md
Configure OKE managed node pools with Generic VNIC Attachment secondary VNIC profiles and Application ResourcesStart with oci/oke/gva-node-pools.md, then load oci/oke/skills/oke-gva-deployer/SKILL.md
Deploy or validate Multus NetworkAttachmentDefinitions and multi-interface pods on OKEStart with oci/oke/multus-multihome.md, then load oci/oke/skills/oke-multihome-deployer/SKILL.md
Deploy an OCI Function from a local macOS or Linux workstationoci/functions/oci-functions-deploy/SKILL.md
Troubleshoot OCI Functions setup, deployment, invocation, or observabilityoci/functions/oci-functions-troubleshoot/SKILL.md
OCI IoT domains, domain groups, digital twin models, adapters, instances, relationships, raw commands, Data API access, or HTTPS publish flowsoci/iot-platform/SKILL.md
OCI Generative AI models, custom/imported models, endpoints, or private endpointsoci/enterprise-ai/SKILL.md
OCI Responses API agents, tools, memory, File Search, Code Interpreter, MCP, or SQL Searchoci/enterprise-ai/SKILL.md
OCI Generative AI and OCI Generative AI Agents cost estimationoci/enterprise-ai/cost/cost-estimation.md
OCI Enterprise AI governance, IAM, API keys, OAuth, guardrails, or ZPRoci/enterprise-ai/governance/private-endpoints-and-governance.md

Key Starting Points

  • oci/oke/cluster-design.md
  • oci/oke/troubleshooting.md
  • oci/oke/gva-node-pools.md
  • oci/oke/multus-multihome.md
  • oci/functions/oci-functions-deploy/SKILL.md
  • oci/functions/oci-functions-troubleshoot/SKILL.md
  • oci/functions/oci-functions-deploy/references/oci-functions-quickstart.md
  • oci/functions/oci-functions-troubleshoot/references/error-patterns.md
  • oci/iot-platform/SKILL.md
  • oci/iot-platform/references/cli-workflows.md
  • oci/iot-platform/references/mcp-optional-use.md
  • oci/enterprise-ai/SKILL.md
  • oci/enterprise-ai/models/enterprise-ai-models.md
  • oci/enterprise-ai/agent-workflows/responses-api-agents.md
  • oci/enterprise-ai/cost/cost-estimation.md
  • oci/enterprise-ai/governance/private-endpoints-and-governance.md

Operational Tools

The OKE operational skills include deterministic helper tools under oci/oke/scripts/ and skill-specific helper scripts under oci/oke/skills/*/scripts/.

  • Read-only discovery and evidence tools may be used to collect context.
  • Generate-only tools may produce manifests, commands, Terraform snippets, or reports.
  • Any tool or command that creates, updates, deletes, patches, restarts, scales, drains, debugs, assigns IPs, applies manifests, or otherwise mutates OCI or Kubernetes resources requires explicit user approval first.
  • oci/oke/scripts/gva-menu.sh is allowed to create an OKE node pool for the GVA workflow only after the user approves execution and completes its final CREATE confirmation.
  • oci/oke/scripts/node-doctor-run.sh requires approval before execution because it creates a temporary debug pod and may delete that pod during cleanup.

Common Multi-Step Flows

TaskRecommended Sequence
Plan a production OKE clusteroke/cluster-design.md
Diagnose an OKE service with no load balancer IPoke/troubleshooting.md
Build a node pool with workload-specific secondary VNIC profilesoke/gva-node-pools.md -> oke/multus-multihome.md if pods need multiple interfaces
Validate Multus pod networking on GVA-enabled nodesoke/multus-multihome.md -> oke/troubleshooting.md if symptoms remain
Investigate OKE workload access to OCI APIsoke/troubleshooting.md
Deploy a local functionfunctions/oci-functions-deploy/SKILL.md -> preflight -> Fn context validation -> OCIR auth check -> app selection -> scaffold -> deploy
Troubleshoot a failed function deployfunctions/oci-functions-troubleshoot/SKILL.md -> functions/oci-functions-troubleshoot/references/error-patterns.md -> functions/oci-functions-troubleshoot/references/deploy.md
Troubleshoot function invocation failuresfunctions/oci-functions-troubleshoot/SKILL.md -> functions/oci-functions-troubleshoot/references/invoke.md -> logs, traces, metrics, and limits
Explore or update OCI IoT digital twin resourcesiot-platform/SKILL.md -> iot-platform/references/cli-workflows.md -> iot-platform/references/resilience-guidance.md
Publish test telemetry to an OCI IoT twiniot-platform/SKILL.md -> iot-platform/references/cli-workflows.md -> iot-platform/templates/publish-curl.template.sh
Build a governed enterprise assistantenterprise-ai/SKILL.md -> enterprise-ai/agent-workflows/agent-tools.md -> enterprise-ai/data/rag-and-search.md -> enterprise-ai/governance/private-endpoints-and-governance.md

Scope Boundaries

  • Keep OCI service, networking, IAM, agent hosting, and cost-estimation guidance in this domain.
  • Route OCI IoT domain, digital twin, adapter, device publish, raw command, and Data API workflows to oci/iot-platform/.
  • Route Oracle Database-owned implementation details to db/features/.
  • Route APEX artifact generation to apex/apexlang/.
  • Prefer official Oracle documentation for OCI service limits, IAM verbs, endpoint formats, regions, and pricing inputs because these 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.

and 46 more files.

Frequently asked questions

What does the Oci AI skill do?

Oracle Cloud Infrastructure guidance for designing, operating, and troubleshooting OCI services, including OCI Kubernetes Engine (OKE), OCI Internet of Things Platform, OCI Functions deployment and troubleshooting, and Enterprise AI workflows for OCI Generative AI models, Responses API agents, RAG, cost estimation, governance, private endpoints, hosted agentic applications, and Oracle platform integrations. Use when the user asks about OKE cluster design, Terraform or Resource Manager planning, OKE incident troubleshooting, Generic VNIC Attachment, Multus, pod networking, node pools, add-on...

Why use Oci on TypingMind?

Because you install it once and use it with any model. Oci 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 Oci in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/oracle/skills/tree/main/oci. 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 Oci?

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 Oci?

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

Is the Oci 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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