open-edge-platform/skills

1

dlsps-user Deploy and operate DL Streamer Pipeline Server — a microservice that wraps DL Streamer pipelines behind a REST API fo…

open-edge-platform/skills

15

2

dlstreamer-coding-agent Build new DL Streamer video-analytics applications (Python, C, C++ or GStreamer command line).

open-edge-platform/skills

15

3

getitune-running-inference Run inference and evaluation with a getitune model (the Geti training library).

open-edge-platform/skills

15

4

model-download-user Download and convert AI models using the Model Download microservice. Use this skill whenever a user wants to: downlo…

open-edge-platform/skills

15

5

chatqna-docker-deploy Deploy Chat Question-and-Answer Core with Docker Compose (OpenVINO CPU, OpenVINO GPU, or Ollama CPU), including env s…

open-edge-platform/skills

14

6

chatqna-helm-deploy Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including valu…

open-edge-platform/skills

14

7

geti-using-the-pipeline Use the Geti application end to end through its REST API — the project → dataset → annotate → train → deploy pipeline…

open-edge-platform/skills

14

8

getitune-discovering-models Discover which models, recipes, and tasks the getitune library (the Geti training library) supports before training.

open-edge-platform/skills

14

9

getitune-exporting-a-model Export a trained getitune model (the Geti training library) to a deployable format.

open-edge-platform/skills

14

10

getitune-optimizing-a-model Optimize an exported getitune model (the Geti training library) with post-training quantization. Use when a user want…

open-edge-platform/skills

14

11

getitune-preparing-datasets Prepare and point datasets at the getitune library (the Geti training library) for training, testing, and prediction.

open-edge-platform/skills

14

12

getitune-training-a-model Train a computer-vision model with the getitune library (the Geti training library) using its Python API or CLI. Use …

open-edge-platform/skills

14

13

multimodal-embedding-serving-user Deploy and consume the Multimodal Embedding Serving microservice — bring it up with setup.sh + docker compose (from a…

open-edge-platform/skills

14

14

physicalai-runtime-adding-a-camera-backend Adds or modifies a camera backend under physicalai.capture.

open-edge-platform/skills

14

15

physicalai-runtime-adding-a-robot-integration Adds or modifies robot hardware integrations under physicalai.robot. Use when implementing the Robot protocol, SO101 …

open-edge-platform/skills

14

16

physicalai-runtime-configuring-inference-pipeline Configures preprocessors, postprocessors, and runners around InferenceModel via manifest specs and ComponentRegistry.

open-edge-platform/skills

14

17

physicalai-runtime-loading-exported-policies Loads and validates policies exported from Physical AI Studio for Runtime deployment.

open-edge-platform/skills

14

18

physicalai-runtime-running-policy-on-robot Runs exported policies on hardware with PolicyRuntime, execution modes, and physicalai run. Use when wiring PolicyRun…

open-edge-platform/skills

14

19

physicalai-train-adding-a-policy Adds or modifies a Physical AI Studio policy under library/src/physicalai/policies.

open-edge-platform/skills

14

20

physicalai-train-benchmarking-a-policy Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. Use when running phys…

open-edge-platform/skills

14

21

physicalai-train-exporting-and-validating Exports and validates Physical AI Studio policies for Runtime deployment.

open-edge-platform/skills

14

22

physicalai-train-training-a-policy Trains, validates, tests, and runs prediction for Physical AI Studio policies via the library Lightning stack.

open-edge-platform/skills

14

23

physicalai-train-working-with-datasets Works with Physical AI Studio datasets and Lightning datamodules built on the LeRobot format. Use when wiring physica…

open-edge-platform/skills

14

24

scenescape-setup Deploy a working Intel® SceneScape installation from scratch (outside the repo). Gathers user-provided streams, camer…

open-edge-platform/skills

14

25

vss-deploy Deploys and manages VSS through setup.sh and its Docker Compose overlays.

open-edge-platform/skills

14

26

vss-deploy-helm Use this skill whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VS…

open-edge-platform/skills

14

27

vss-search-index Search a video library with natural language via the VSS Pipeline Manager - upload a video (POST /videos), generate i…

open-edge-platform/skills

14

28

vss-summarize-video Summarize a video through the VSS Pipeline Manager - start a summary pipeline with POST /summary (full required body)…

open-edge-platform/skills

14

29

metro-ai-apps-builder Conversational orchestrator that turns a plain business objective into a working Intel Edge AI application by asking …

open-edge-platform/skills

13

30

metro-ai-apps-recipe Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command —…

open-edge-platform/skills

13

31

multimodal-dataprep-user Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout. Use for configuring VDMS …

open-edge-platform/skills

12

32

vdms-dataprep-user Deploy and consume the VDMS DataPrep video-ingestion stack (dataprep + VDMS vector DB + MinIO) — bring it up with set…

open-edge-platform/skills

2

33

anomalib-adding-a-datamodule Adds a new dataset/datamodule to anomalib under src/anomalib/data/. Use when wiring a new data source into the Anomal…

open-edge-platform/skills

1

34

anomalib-adding-a-model Adds a new anomaly-detection model to anomalib under src/anomalib/models/. Use when implementing a new model architec…

open-edge-platform/skills

1

35

anomalib-benchmarking Runs the anomalib benchmarking pipeline to train/evaluate a grid of model + dataset (+ category) combinations and col…

open-edge-platform/skills

1

36

anomalib-tiled-ensemble Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges …

open-edge-platform/skills

1

37

anomalib-training Trains an anomalib model on a dataset via the Python API or CLI, including training on a custom folder-structured dat…

open-edge-platform/skills

1

38

metro-ai-app-builder Conversational orchestrator that turns a plain business objective into a working Intel Edge AI application by asking …

open-edge-platform/skills

1

39

metro-ai-app-recipe Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command —…

open-edge-platform/skills

1

40

time-series-analytics-user Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up wi…

open-edge-platform/skills

1