Agent skills by open-edge-platform, page 2

Build Chat Question and Answer Core Docker images from source using direct Docker or Docker Compose build commands (backend CPU, backend GPU, backend Ollama, and UI).

open-edge-platform/edge-ai-libraries

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.

open-edge-platform/edge-ai-libraries

Run ChatQnA Core unit tests for backend (pytest via uv) and frontend UI (vitest), including runtime selection (openvino or ollama), coverage options, and concise pass/fail evidence.

open-edge-platform/edge-ai-libraries

Troubleshoot Chat Question-and-Answer Core end-to-end across Docker Compose and Helm deployments, including startup failures, health/API errors, runtime mismatches (OpenVINO vs Ollama), model/config…

open-edge-platform/edge-ai-libraries

Build (and optionally push) the VSS Docker images from source with make build, make build-deps, and make push - the application services, the dependency microservices, or both, with registry/tag…

open-edge-platform/edge-ai-libraries

Deploy and operate DL Streamer Pipeline Server — a microservice that wraps DL Streamer pipelines behind a REST API for containerized, no-code operation.

open-edge-platform/edge-ai-libraries

Extend, test, debug, or integrate the Model Download microservice codebase.

open-edge-platform/edge-ai-libraries

Download and convert AI models using the Model Download microservice.

open-edge-platform/edge-ai-libraries

Develop and debug the Multimodal DataPrep microservice: its FastAPI media endpoints, in-process embedding pipeline, batch jobs, object detection, telemetry and Metrics Manager publishing, and…

open-edge-platform/edge-ai-libraries

Develop the Multimodal Embedding Serving microservice itself — Poetry install, run the existing tests, navigate the wrapper/registry/handler architecture, add a new model family, and build the image…

open-edge-platform/edge-ai-libraries

Develop the Time Series Analytics microservice itself (FastAPI + Kapacitor) — build and deploy it locally via Docker Compose or Helm, run the mocked unit test suite (tests/runtests.sh) and the…

open-edge-platform/edge-ai-libraries

Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations.

open-edge-platform/edge-ai-suites

Generate formatted release notes for a specific folder/module in a repository by comparing two git branches or tags.

open-edge-platform/edge-ai-libraries

Deploy and consume Intel Multimodal DataPrep from prebuilt images or a repository checkout.

open-edge-platform/edge-ai-libraries

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)…

open-edge-platform/edge-ai-libraries

Review-first workflow for changes in components/wandering and tutorial packages.

open-edge-platform/edge-ai-suites

Conversational orchestrator that turns an objective into a working Intel Edge AI application through one questionnaire — the user states an outcome and may optionally specify packaging, API recipe…

open-edge-platform/edge-ai-suites

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…

open-edge-platform/edge-ai-suites