Skill Claude CodeCodex
Deploy Chat Question-and-Answer Core with Docker Compose (OpenVINO CPU, OpenVINO GPU, or Ollama CPU), including env setup, profile selection, startup verification, health checks, and teardown. Use this skill when the user says "deploy chatqna core", "start chatqna container", "run compose", "openvino gpu deploy", or…
Skill Claude CodeCodex
Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including values.yaml configuration, helm install/upgrade, deployment verification, uninstall, and translation from Docker Compose setupenv.sh variables into Helm override values. Use this skill when the user says…
Skill Claude CodeCodex
Deploy and operate DL Streamer Pipeline Server — a microservice that wraps DL Streamer pipelines behind a REST API for containerized, no-code operation. Use this skill whenever a user wants to: deploy the pipeline server via Docker Compose or Helm; start, stop, or monitor pipeline instances through the REST API…
Skill Claude CodeCodex
Build new DL Streamer video-analytics applications (Python, C, C++ or GStreamer command line). Use when: user describes a vision AI pipeline, wants to create a new sample app, combine elements from existing samples, add detection/classification/VLM/tracking/alerts/recording to a video pipeline, or create custom…
Skill Claude CodeCodex
Use the Geti application end to end through its REST API — the project → dataset → annotate → train → deploy pipeline served by the FastAPI backend in application/backend/. Use when a user (not a contributor) wants to create a project, upload media, add annotations, launch a training or quantization job, track job…
Skill Claude CodeCodex
Discover which models, recipes, and tasks the getitune library (the Geti training library) supports before training. Use when a user asks what models are available, how to list recipes, how to filter by task or name pattern, how listmodels(...) and getitune find behave, or how to resolve the "model name matches…
Skill Claude CodeCodex
Export a trained getitune model (the Geti training library) to a deployable format. Use when a user wants to run engine.export(...) or getitune export, choose between OpenVINO IR and ONNX, set FP32 vs FP16 precision with ExportFormat / Precision, or understand where exported artifacts are written and how they load…
Skill Claude CodeCodex
Optimize an exported getitune model (the Geti training library) with post-training quantization. Use when a user wants to run OVEngine.optimize() / engine.optimize() to produce an INT8 model via NNCF, understands calibration-set requirements, or needs to re-validate and run inference with a quantized model versus the…
Skill Claude CodeCodex
Prepare and point datasets at the getitune library (the Geti training library) for training, testing, and prediction. Use when a user asks which dataset formats are supported, how the data= argument of createengine(...) / --dataroot works, why format auto-detection fails, how to lay out COCO/YOLO/Pascal…
Skill Claude CodeCodex
Run inference and evaluation with a getitune model (the Geti training library). Use when a user wants to call engine.predict() / engine.test() or getitune predict / getitune test, run inference with a PyTorch checkpoint versus an exported OpenVINO IR (.xml) or ONNX (.onnx) model, or understand how OVEngine loads…
Skill Claude CodeCodex
Train a computer-vision model with the getitune library (the Geti training library) using its Python API or CLI. Use when a user wants to train, fine-tune, or evaluate a model with createengine(...) and engine.train()/engine.test(), run getitune train/getitune test, pick or override a recipe under getitune.recipe. …
Skill Claude CodeCodex
Conversational orchestrator that turns a plain business objective into a working Intel Edge AI application by asking only business questions — never which framework, model, or device — then discovering the relevant open-edge-platform/skills, proposing a plan, and building the deliverable by DELEGATING to the right…
Skill Claude CodeCodex
Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command — point it at your video sources and an OpenVINO/ONNX model to get live annotated WebRTC video plus real-time detection dashboards and alerts (object detection, classification, counting, or…
Skill Claude CodeCodex
Download and convert AI models using the Model Download microservice. Use this skill whenever a user wants to: download a model from HuggingFace, Ollama, Ultralytics, Geti, or Pipeline Zoo; convert a model to OpenVINO IR format for OVMS; download healthcare AI models (3D Pose, rPPG, AI-ECG) via the HLS plugin; set up…
Skill Claude CodeCodex
Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout. Use for configuring VDMS or Milvus vector storage, MinIO or local media storage, checking service dependencies, and ingesting, listing, streaming, or deleting videos and images; submitting batch jobs; adding text-summary…
Skill Claude CodeCodex
Deploy and consume the Multimodal Embedding Serving microservice — bring it up with setup.sh + docker compose (from a repo clone, or by fetching those same files from GitHub when no clone exists) using the prebuilt intel/multimodal-embedding-serving image, embed text/images/videos over REST on port 9777, choose among…
Skill Claude CodeCodex
Adds or modifies a camera backend under physicalai.capture. Use when implementing a new Camera type, extending createcamera in src/physicalai/capture/factory.py, discovery helpers, optional pip extras for vendor SDKs, SharedCamera transport, or tests under tests/unit/capture with fake devices.
Skill Claude CodeCodex
Adds or modifies robot hardware integrations under physicalai.robot. Use when implementing the Robot protocol, SO101 or Trossen WidowX drivers, robot connect helpers, verify.py checks, optional extras so101 or trossen, or tests in tests/unit/robot.
Skill Claude CodeCodex
Configures preprocessors, postprocessors, and runners around InferenceModel via manifest specs and ComponentRegistry. Use when editing physicalai.inference.preprocessors or postprocessors, manifest preprocessor/postprocessor lists, instantiatecomponent, registered type names, or classpath initargs for inference…
Skill Claude CodeCodex
Loads and validates policies exported from Physical AI Studio for Runtime deployment. Use when working on InferenceModel, InferenceModel.frompretrained, manifest.json, adapter auto-detection (onnx, openvino), backend/device kwargs, Hugging Face Hub policy packages, or the Runtime side of the export/load contract that…
Skill Claude CodeCodex
Runs exported policies on hardware with PolicyRuntime, execution modes, and physicalai run. Use when wiring PolicyRuntime, SyncExecution or RTC execution, runtime YAML configs, action queues, runtime callbacks, or docs/how-to/runtime run-policy-on-robot and execution modes.
Skill Claude CodeCodex
Adds or modifies a Physical AI Studio policy under library/src/physicalai/policies. Use when creating a new policy family with the config/model/policy split, registering it in the getpolicy factory and package exports, or keeping a policy compatible with Lightning training and export. Covers Pi0.5, Pi0, ACT, GR00T…
Skill Claude CodeCodex
Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. Use when running physicalai benchmark, editing configs under library/configs/benchmark, adding or changing a Benchmark class in physicalai.benchmark, tuning rollout/episode/env settings, recording rollout videos, or…
Skill Claude CodeCodex
Exports and validates Physical AI Studio policies for Runtime deployment. Use when working on policy.export(...), the physicalai export CLI, the ONNX/OpenVINO/Torch/ExecuTorch backends, export metadata, numerical parity checks, or the Studio side of the export/load contract that Runtime consumes with…