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Found 411 Skills
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
Creates ephemeral preview deployments for each pull request with automatic deployment, unique URLs, and cleanup on PR close. Use for "preview deployments", "PR environments", "ephemeral environments", or "review apps".
Create a Gateway resource with listeners for HTTP, HTTPS, or both
Flux CD and Flux Operator expert — answers questions and generates schema-validated YAML for all Flux CRDs (not repo auditing or live cluster debugging). Use when users ask about Flux concepts, want manifests for HelmRelease, Kustomization, GitRepository, OCIRepository, ResourceSet, FluxInstance, or any Flux resource, or need guidance on GitOps repository structure, multi-tenancy, OCI-based delivery, image tag automation, drift detection, preview environments, notifications, or the Flux Web UI and MCP Server. Whenever users mention FluxCD, Flux Operator, or any Flux CRD in a question or manifest generation context, always use this skill.
Use this whenever an OpenChoreo task needs a platform-level change or investigation: cluster setup, Helm upgrades, kubectl work, plane connectivity, platform resources, ComponentTypes, Traits, Workflows, gateways, secret stores, identity, GitOps, observability, or cluster-side debugging. If the same task also involves deploying or debugging an application through `occ`, activate `openchoreo-developer` too instead of waiting to escalate later.
Ansible Role Creator - Auto-activating skill for DevOps Advanced. Triggers on: ansible role creator, ansible role creator Part of the DevOps Advanced skill category.
Manages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).
Runs batch and HPC workloads on GKE, utilizing job queues and parallel processing. Use when running GKE batch jobs, configuring GKE HPC, or setting up GKE job queues. Don't use for standard web application deployments (use gke-app-onboarding instead).
Configures GKE observability, including Cloud Logging, Cloud Monitoring, and managed Prometheus. Use when configuring GKE monitoring, setting up GKE logging, or configuring Prometheus metrics collection. Don't use to configure local application logging frameworks or external APMs outside GKE.
Plans and executes GKE cluster creation, provisioning, and production readiness audits. Use when creating GKE clusters, provisioning GKE environments, or auditing GKE clusters. Don't use for application onboarding or deployment configuration (use gke-app-onboarding instead).
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
Configure a DataHub instance to load and display a Micro Frontend (MFE) app. Use when the user wants to register an MFE with DataHub, add an MFE to the nav sidebar, set up MFE config for local dev or production/k8s, or troubleshoot MFE loading issues.