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Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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- 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
- Tao Train ReidPerson re-identification (ReID). Learns discriminative embeddings to match the same person across differentVotes: 0GitHub stars: 36
- Tao Train Pose ClassificationPose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequencesVotes: 0GitHub stars: 36
- Tao Train PointpillarsPointPillars for 3D object detection from LiDAR point clouds. Encodes point clouds into a pseudo-image via aVotes: 0GitHub stars: 36
- Tao Train Optical InspectionOptical Inspection for defect detection using Siamese networks. Compares image pairs to detect manufacturingVotes: 0GitHub stars: 36
- Tao Train OneformerOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with aVotes: 0GitHub stars: 36
- Tao Train OcrnetOCRNet for scene text recognition. Recognizes text content from cropped text-region images and supports CTCVotes: 0GitHub stars: 36