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Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 3,721–3,744 of 19,628 skills
- Debug BuildDiagnose OpenShift build failures including S2I builds, Docker/Podman builds, and BuildConfig issues. Automates multi-step diagnosis: BuildConfig validation, build pod logs, registry authentication, and source repository access. Use this skill when builds fail, hang, or produce unexpected results. Triggers on /debug-build command or phrases like "build failed", "S2I error", "can't pull builder image", "can't push to registry", "build timeout".Votes: 0GitHub stars: 36
- Containerize DeployComplete end-to-end workflow for containerizing and deploying applications to OpenShift or standalone RHEL systems. Orchestrates /detect-project, /s2i-build, /deploy, /helm-deploy, and /rhel-deploy skills with user confirmation checkpoints at each phase. Supports S2I, Podman, Helm deployment strategies for OpenShift, and Podman/native deployments for RHEL hosts. Use this skill when user wants to go from source code to running application in one guided workflow. Supports resume after interrupt...Votes: 0GitHub stars: 36
- Red Hat DiagnosticsExplain how to gather diagnostic information for Red Hat products (RHEL, OpenShift, Ansible Automation Platform, Satellite) to share with Red Hat Technical Support.Votes: 0GitHub stars: 36
- Pipeline ManageCreate, run, schedule, and monitor Data Science Pipelines (Kubeflow Pipelines 2.0) on OpenShift AI. Use when: - "Run a pipeline in my project" - "Schedule a recurring pipeline" - "Check my pipeline run status" - "List pipeline runs and their logs" - "Set up the pipeline server" - "Delete a pipeline or pipeline run" Handles pipeline server setup, pipeline run submission from YAML, scheduling recurring runs, monitoring execution, and viewing step logs. NOT for creating data science projects ...Votes: 0GitHub stars: 36
- Model RegistryRegister, version, and manage ML models in the OpenShift AI Model Registry. Browse the Model Catalog, track model metadata, and promote models across environments. Use when: - "Register a new model in the registry" - "List registered models" - "What versions exist for my model?" - "Promote a model from dev to production" - "Show model artifacts and storage URIs" Handles model registration, versioning, metadata management, artifact tracking, and cross-environment promotion. NOT for deployin...Votes: 0GitHub stars: 36
- Model MonitorConfigure TrustyAI model monitoring for bias detection and data drift on deployed InferenceServices. Use when: - "Monitor my model for bias" - "Set up drift detection on my inference endpoint" - "Configure TrustyAI for my deployed model" - "Check if my model has fairness issues" - "I need SPD / DIR metrics for my model" Handles TrustyAIService deployment, bias metric configuration (SPD, DIR), drift metric configuration (MeanShift, FourierMMD, KS-Test, Jensen-Shannon), threshold tuning, and ...Votes: 0GitHub stars: 36
- Model DeployDeploy AI/ML models on OpenShift AI using KServe with vLLM, NVIDIA NIM, or Caikit+TGIS runtimes. Use when: - "Deploy Llama 3 on my cluster" - "Set up a vLLM inference endpoint" - "Deploy a model with NIM" - "Create an InferenceService for Granite" - "I need to serve a model on OpenShift AI" Handles runtime selection, GPU validation, InferenceService CR creation, and rollout monitoring. NOT for NIM platform setup (use /nim-setup first). NOT for custom runtime creation (use /serving-runtime-...Votes: 0GitHub stars: 36
- Guardrails ConfigConfigure TrustyAI Guardrails Orchestrator for LLM input/output content safety on OpenShift AI. Use when: - "Add guardrails to my LLM endpoint" - "Set up content safety for my model" - "Configure PII detection on my inference endpoint" - "Block prompt injection attacks" - "I need a guarded endpoint for my deployed model" Handles GuardrailsOrchestrator CR deployment, detector configuration (content safety, PII, prompt injection, toxicity), orchestration policies, and guarded endpoint validat...Votes: 0GitHub stars: 36
- Ds Project SetupCreate and configure Data Science Projects on OpenShift AI with namespace setup, S3 data connections, pipeline server, and model serving enablement. Use when: - "Create a data science project" - "Set up a new namespace for ML work" - "Add an S3 data connection to my project" - "Configure the pipeline server" - "Enable model serving on my project" Bootstraps an RHOAI Data Science Project with proper labels, data connections, pipeline infrastructure, and model serving configuration. NOT for ...Votes: 0GitHub stars: 36
- Debug InferenceTroubleshoot failed or slow InferenceService deployments on OpenShift AI. Use when: - "My InferenceService won't start" - "Model deployment is stuck" - "Inference endpoint returns errors" - "Model is slow / high latency" - "GPU scheduling failed for my model" Progressive diagnosis: status conditions, events, pod logs, GPU health, and observability analysis. NOT for deploying models (use /model-deploy). NOT for creating runtimes (use /serving-runtime-config).Votes: 0GitHub stars: 36
- Ai ObservabilityAnalyze AI model performance, GPU utilization, and cluster health on OpenShift AI. Use when: - "How is my model performing?" - "What GPUs are available in the cluster?" - "Show me inference latency for Llama" - "Check OpenShift cluster health metrics" - "Trace a slow inference request" - "Correlate errors across my inference stack" Query-driven, read-only analysis. Routes to the appropriate observability domain based on user intent. NOT for deploying models (use /model-deploy). NOT for deb...Votes: 0GitHub stars: 36
- Coreos Cve ValidatorValidate a CVE against Red Hat Enterprise Linux CoreOS (RHCOS) in a specific OCP release by extracting RPM packages and checking Red Hat VEX data.Votes: 0GitHub stars: 36
- Eu Ai Act SpecialistEU AI Act (Regulation (EU) 2024/1689) operational compliance for compliance teams. Three Article-level decisions: (1) What's the risk tier of this AI system — prohibited (Art. 5), high-risk (Art. 6 + Annex III), limited-risk (Art. 50), or minimal-risk? (2) For high-risk systems, what's the Article 43 conformity assessment route (Module A internal control vs Module H full QMS + notified body) and what goes in the Annex IV technical documentation? (3) Per organizational role (provider / deploye...Votes: 0GitHub stars: 36
- Qdrant Version UpgradeGuidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.Votes: 0GitHub stars: 36
- Qdrant Performance OptimizationNavigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.Votes: 0GitHub stars: 36
- Qdrant MonitoringGuides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.Votes: 0GitHub stars: 36
- Qdrant Deployment OptionsGuides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.Votes: 0GitHub stars: 36
- Vss Summarize VideoUse to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.Votes: 0GitHub stars: 36
- Vss Generate Video ReportUse this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.Votes: 0GitHub stars: 36
- Tao Train Visual ChangenetVisual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training,Votes: 0GitHub stars: 36
- Tao Train Sparse4dSparse4D for multi-camera temporal 3D object detection and tracking. Uses sparse queries with deformableVotes: 0GitHub stars: 36
- Tao Train Single StepStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a datasetVotes: 0GitHub stars: 36
- Tao Train SegformerSegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical featureVotes: 0GitHub stars: 36
- Tao Train RtdetrRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference withVotes: 0GitHub stars: 36