oracle-cloud
Provides comprehensive Oracle Cloud Infrastructure (OCI) guidance including compute instances, networking (VCN, load balancers, VPN), storage (block, object, file), database services (Autonomous Database, MySQL, NoSQL), container orchestration (OKE), identity and access management (IAM), resource management, cost optimization, and infrastructure as code (Terraform OCI provider, Resource Manager). Produces infrastructure code, deployment scripts, configuration guides, and architectural diagrams. Use when designing OCI architecture, provisioning cloud resources, migrating to Oracle Cloud, implementing OCI security, setting up OCI databases, deploying containerized applications on OKE, managing OCI resources, or when users mention "Oracle Cloud", "OCI", "Autonomous Database", "VCN", "OKE", "OCI Terraform", "Resource Manager", "Oracle Cloud Infrastructure", or "OCI migration".
- Installs
- 147
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/dauquangthanh/hanoi-rainbow --skill oracle-cloud- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads oracle-cloud automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Oracle Cloud Infrastructure (OCI)
Core Capabilities
Provides expert guidance for Oracle Cloud Infrastructure across all major services:
- Compute Services - VM instances, bare metal, autoscaling, instance pools
- Networking - Virtual Cloud Networks (VCN), subnets, security lists, route tables, load balancers, VPN
- Storage - Block volumes, object storage, file storage, archive storage
- Database Services - Autonomous Database, MySQL, PostgreSQL, NoSQL, MongoDB
- Container & Kubernetes - Oracle Kubernetes Engine (OKE), container instances, registries
- Identity & Access Management - Users, groups, policies, federation, MFA
- Infrastructure as Code - Terraform OCI provider, Resource Manager, stacks
- Cost Management - Budgets, cost analysis, resource tagging, rightsizing
Best Practices
Compute
- Use flexible shapes for cost optimization
- Enable boot volume backups and configure lifecycle policies
- Use instance pools with autoscaling for dynamic workloads
- Implement proper tagging for resource management
- Leverage availability domains for high availability
Networking
- Design VCN with proper CIDR blocks (avoid overlaps)
- Use security lists and network security groups together
- Implement private subnets for databases and application tiers
- Enable DRG (Dynamic Routing Gateway) for hybrid connectivity
- Configure load balancer health checks with appropriate intervals
Storage
- Use block volumes with appropriate performance tiers
- Implement lifecycle policies for object storage cost savings
- Enable encryption at rest for all storage services
- Configure regular backups with retention policies
- Use file storage for shared application data
Database
- Use Autonomous Database for automatic management and tuning
- Enable automatic backups with point-in-time recovery
- Configure connection pooling and TLS encryption
- Implement proper IAM policies for database access
- Monitor database metrics and set up alerts
Container Orchestration
- Use managed OKE for Kubernetes workloads
- Enable cluster autoscaling and pod autoscaling
- Implement pod security policies and network policies
- Use OCI Container Registry for private image storage
- Configure proper resource requests and limits
IAM & Security
- Follow principle of least privilege for policies
- Enable MFA for all users with admin access
- Use service-level resources for automation
- Implement compartment hierarchy for resource isolation
- Audit IAM policy changes regularly
Infrastructure as Code
- Use Terraform OCI provider with remote state
- Organize resources by compartment and environment
- Version control all infrastructure code
- Use Resource Manager for managed Terraform execution
- Implement proper variable management and secrets handling
Cost Optimization
- Use flexible shapes to match workload requirements
- Implement autoscaling to scale down during off-peak
- Use preemptible instances for fault-tolerant workloads
- Set up budgets and cost alerts
- Tag resources for cost allocation and tracking
Detailed References
Load reference files based on specific needs:
-
Compute Services: See compute-services.md for:
- VM shapes and bare metal configuration
- Instance pools and autoscaling setup
- Boot volume management and backups
- Custom images and cloud-init configuration
-
Networking Architecture: See networking-architecture.md for:
- VCN design patterns and CIDR planning
- Security lists and network security groups
- Load balancer configuration (public, private)
- FastConnect and VPN setup for hybrid connectivity
- VCN peering and DNS configuration
-
Database Services: See database-services.md for:
- Autonomous Database provisioning and management
- MySQL, PostgreSQL, and NoSQL configuration
- Database backup and recovery procedures
- Connection pooling and performance optimization
- Database migration strategies
-
IAM Configuration: See iam-configuration.md for:
- User, group, and policy management
- Compartment design and hierarchy
- Dynamic groups and instance principals
- Federation and identity providers
- Tagging strategy and resource limits
-
Terraform for OCI: See terraform-oci.md for:
- Terraform OCI provider configuration
- Common resource provisioning patterns
- Module structure and best practices
- Remote state management in object storage
- Three-tier architecture examples
-
OCI CLI Commands: See oci-cli-commands.md for:
- OCI CLI installation and configuration
- Compute, networking, storage, and database commands
- Container registry and OKE operations
- Query and filtering techniques
- Troubleshooting and debugging
FAQ
What does the oracle-cloud skill do?
Provides comprehensive Oracle Cloud Infrastructure (OCI) guidance including compute instances, networking (VCN, load balancers, VPN), storage (block, object, file), database services (Autonomous Database, MySQL, NoSQL), container orchestration (OKE), identity and access management (IAM), resource management, cost optimization, and infrastructure as code (Terraform OCI provider, Resource Manager). Produces infrastructure code, deployment scripts, configuration guides, and architectural diagrams. Use when designing OCI architecture, provisioning cloud resources, migrating to Oracle Cloud, implementing OCI security, setting up OCI databases, deploying containerized applications on OKE, managing OCI resources, or when users mention "Oracle Cloud", "OCI", "Autonomous Database", "VCN", "OKE", "OCI Terraform", "Resource Manager", "Oracle Cloud Infrastructure", or "OCI migration".
How do I install oracle-cloud?
Run npx skills add https://github.com/dauquangthanh/hanoi-rainbow --skill oracle-cloud in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/oracle-cloud/ (personal) or .claude/skills/oracle-cloud/ (project).
Which AI agents can use oracle-cloud?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is oracle-cloud safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains oracle-cloud?
It is published by dauquangthanh in dauquangthanh/hanoi-rainbow. It has 147 recorded installs.
More from dauquangthanh/hanoi-rainbow
frontend-ui-ux-design
dauquangthanh/hanoi-rainbow
Creates comprehensive frontend UI/UX designs including user interfaces, design systems, component libraries, responsive layouts, and accessibility implementations. Produces wireframes, mockups, design specifications, and implementation guidelines. Use when designing user interfaces, creating design systems, building component libraries, implementing responsive designs, ensuring accessibility compliance, or when users mention UI design, UX design, interface design, design systems, user experience, or frontend design patterns.
frontend-design-review
dauquangthanh/hanoi-rainbow
Open the skill to read its SKILL.md instructions.
keycloak-administration
dauquangthanh/hanoi-rainbow
Open the skill to read its SKILL.md instructions.
requirement-review
dauquangthanh/hanoi-rainbow
Open the skill to read its SKILL.md instructions.
backend-design
dauquangthanh/hanoi-rainbow
Open the skill to read its SKILL.md instructions.
cobol-migration-analyzer
dauquangthanh/hanoi-rainbow
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.