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SkillsMP has collected 237 skills from adnan-drina/rhoai3-coding-demo. Open a skill to review its source and details.
adnan-drina/rhoai3-coding-demoShowing 40 of 237 collected skills.
Use when documenting, reviewing, or rebuilding OpenShift Container Platform image, registry, and mirroring guidance from official OCP documentation: Image Registry Operator, internal registry configuration, image streams, image stream tags, image import, pull…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform external access guidance from official OCP documentation: Ingress Operator, IngressController, cluster ingress domain, Routes, route TLS termination, wildcard routes, router…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform machine configuration guidance from official OCP documentation: Machine Config Operator, MachineConfig, MachineConfigPool, MachineConfiguration, KubeletConfig, ContainerRuntimeConfig,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform machine management guidance from official OCP documentation: Machine API overview, compute machine sets, AWS compute MachineSets, provider-specific machine set fields, manual scaling,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform Node Feature Discovery guidance from official OCP documentation: specialized hardware discovery, NFD Operator installation, NodeFeatureDiscovery custom resources, operand.image…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform node guidance from official OCP documentation: node and pod overview, containers, pod autoscaling, pod scheduling and placement, scheduler profiles, pod affinity and anti-affinity,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform observability guidance from official OCP documentation: Observability overview, monitoring stack, user-defined project monitoring, metrics, customized alerts, Prometheus,…
Use when documenting, reviewing, or rebuilding Red Hat build of OpenTelemetry on OpenShift from official Red Hat documentation: OpenTelemetry Operator installation, OpenTelemetryCollector custom resources, Collector deployment modes, receivers, processors,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform RBAC and workload security guidance from official OCP documentation: Role, ClusterRole, RoleBinding, ClusterRoleBinding, service accounts, oc auth can-i, who-can checks,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform storage guidance from official OCP documentation: ephemeral storage, persistent storage, PV/PVC lifecycle, access modes, reclaim policies, StorageClass behavior, dynamic provisioning,…
Use when documenting, reviewing, or rebuilding OpenShift Container Platform web console guidance from official OCP documentation: console access, dashboard information, user preferences, Console configuration, logout redirects, quick start visibility, custom…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift Data Foundation Multicloud Object Gateway and NooBaa guidance for the demo: standalone MCG, S3-compatible endpoint, NooBaa health, backing stores, bucket classes, object service dashboards,…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift Data Foundation ObjectBucketClaim workflows for the demo: project-scoped S3 buckets, generated ConfigMaps and Secrets, OBC lifecycle, application consumption, RHOAI object-store handoff, and…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift Data Foundation storage class guidance for the demo: ODF-provided block, file, and object storage classes, Ceph RBD, CephFS, NooBaa object storage class, reclaim policy, volume binding mode,…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift Data Foundation deployment posture for the demo: ODF planning, architecture, AWS deployment, StorageSystem, StorageCluster, standalone Multicloud Object Gateway selection, updates, monitoring,…
Use when documenting, reviewing, or performing the Red Hat OpenShift AI dashboard workflow for selecting existing OpenShift administrator and user groups: default all-authenticated access, default cluster-admin administrator behavior, Settings > User…
Use when documenting, reviewing, or operating Red Hat OpenShift AI AI Pipelines from the Working with AI pipelines guide: pipeline server configuration, S3-compatible artifact storage, default versus external MySQL/MariaDB metadata databases, Kubernetes API…
Use when documenting, reviewing, or authoring Red Hat OpenShift AI manifests, API clients, README support claims, upgrade notes, or GitOps resources that depend on RHOAI API stability tiers: Tier 1, Tier 2, Tier 4, Beta, and Alpha. Covers the RHOAI API tier…
Use when describing, reviewing, or implementing the high-level Red Hat OpenShift AI Self-Managed architecture from the official architecture chapter: service-layer capabilities, the Red Hat OpenShift AI Operator management layer, default projects/namespaces,…
Use when documenting, reviewing, or operating Red Hat OpenShift AI AutoML workflows from the official Working with AutoML guide: Technology Preview posture, CSV training data in S3-compatible storage, AutoML optimization runs, binary classification,…
Use when documenting, reviewing, or operating Red Hat OpenShift AI AutoRAG workflows from the official Working with AutoRAG guide: Technology Preview posture, RAG pattern optimization, JSON ground-truth evaluation data, English document and file-format…
Use when documenting, reviewing, or operating Red Hat OpenShift AI basic workbench administration: opening the Start basic workbench administration interface, starting another user's basic workbench, accessing a user's running basic workbench for…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI centralized authentication service configuration for an external OIDC provider: Gateway API prerequisites, direct OIDC assumptions, data-science-gateway and kube-auth-proxy behavior,…
Use when installing, documenting, reviewing, or rebuilding Red Hat OpenShift AI certificate handling: DSCI trustedCABundle managementState, cluster-wide and custom CA bundles, odh-trusted-ca-bundle ConfigMaps, self-signed certificate handling for…
Guide changes to the Stage 230 private RAG chatbot, a vendored Llama Stack UI distribution under stage-230-private-data-rag/chatbot/llama_stack_ui. Use when the user asks to customize the chatbot, change suggested questions, adjust source attribution, tune…
Use when documenting, reviewing, or performing the Red Hat OpenShift AI dashboard workflow for managing the cluster default persistent volume claim size: Settings > Cluster settings PVC size, choosing a default size in GiB or MiB, understanding the workbench…
Use when documenting, reviewing, or changing Red Hat OpenShift AI Operator-related component Deployment CPU and memory requests or limits in redhat-ods-applications; checking deployment names for KServe, Ray, Kueue, workbenches, dashboard, model serving,…
Use when documenting, reviewing, or operating Red Hat OpenShift AI connected application workflows from the Working with connected applications guide: viewing applications from Applications -> Explore, enabling SaaS-based connected applications, understanding…
Use when documenting, reviewing, or performing the Red Hat OpenShift AI dashboard workflow for managing connection types: viewing available connection type templates, previewing user connection forms, creating custom connection types with environment-variable…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI dashboard application visibility: adding application tiles with OdhApplication, controlling whether administrators can add applications, showing or hiding application information panels and…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI dashboard customization through the OdhDashboardConfig custom resource: editing spec.dashboardConfig, showing or hiding dashboard navigation items, enabling or disabling dashboard feature…
Use when documenting, reviewing, or operating Red Hat OpenShift AI data science IDE workflows from the Working in your data science IDE guide: accessing a workbench IDE; using JupyterLab to create, upload, clone, pull, push, and package notebooks; using…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI Distributed Inference with llm-d from the official deployment guide: LLMInferenceService resources, Gateway API discovery and selection, OpenShift Gateway Controller requirements,…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI distributed workload operations from the Administer documentation: Kueue ResourceFlavor, ClusterQueue, and LocalQueue quota resources for distributed workloads; NVIDIA GPU quota examples;…
Use when documenting, reviewing, or authoring Red Hat OpenShift AI data scientist workflows for distributed workloads: preparing workbenches and training images, authenticating to OpenShift from notebooks, running Ray-based workloads with CodeFlare SDK,…
Use when installing, documenting, reviewing, or rebuilding Red Hat OpenShift AI distributed workloads support: Red Hat build of Kueue Operator, cert-manager, DataScienceCluster component states for kueue, ray, trainingoperator, aipipelines, dashboard, and…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI DSCInitialization and DataScienceCluster configuration: predefined and custom namespaces, DataScienceCluster component managementState values, workbenchNamespace, model registry namespace,…
Use when planning, documenting, implementing, or reviewing enterprise RAG on Red Hat OpenShift AI with Llama Stack or OGX: metadata-aware retrieval, OpenAI-compatible Files and Vector Stores APIs, PostgreSQL with pgvector vector storage, PostgreSQL Llama…
Use when documenting, reviewing, deploying, or operating official Red Hat OpenShift AI evaluation workflows from the Evaluating AI systems guide: TrustyAI EvalHub deployment, EvalHub REST API, SDK, CLI, multi-tenancy, providers, benchmarks, collections, pass…
Use when documenting, reviewing, or rebuilding Red Hat OpenShift AI Feature Store capabilities from the official Feature Store guide: machine learning feature concepts, Feast Operator enablement, DataScienceCluster feastoperator state, FeatureStore custom…