Copy this prompt into the AI assistant you're using.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/NVIDIA/DeepStream.Loading the repository README…
Showing 13 of 13 collected skills.
Use only when auditing or sanity-checking a supplied or pre-existing deepstream-app/deepstream-test5 config, performing an explicitly requested independent post-generation audit, or reviewing a supplied design/code change that affects DeepStream config…
NVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
Import detection, classification, segmentation, pose, and depth models into DeepStream with task routing and evidence-gated validation.
Use when diagnosing NVIDIA DeepStream SDK installation, version compatibility, container tag, JetPack, CUDA, TensorRT, driver, GPU/Jetson, WSL2, pyservicemaker, or pyds issues; also use to reroute DeepStream pipeline-building or model-import requests to…
Set up and verify NVIDIA DeepStream in Docker inside WSL2 on a local or remote Windows machine. Use when a user wants to install WSL2, Ubuntu, Docker, NVIDIA Container Toolkit, and a requested DeepStream image; validate a supported WDDM workstation GPU; or…
Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. The shipped scaffold script is a YOLO26 reference implementation (ONNX, labels, custom parser required). Use when building a new perception…
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
Generate deployable Vision AI pipelines with high-performance video and streaming capabilities on NVIDIA GPUs. Activate when users want to: create GPU-accelerated inference microservices or standalone apps for vision, video, or streaming workloads; write or…
Provision Ubuntu 24.04 NVIDIA stacks with Ansible on x86_64 or ARM SBSA, with Xorg setup and optional DeepStream dependencies. Not for Jetson.
Evaluate and improve an object detector in NVIDIA DeepStream. Use for deployed mAP, FPS and latency measurement, TAO Skill Bank fine-tuning or AutoML, redeployment, and before/after reporting on HuggingFace, NGC, ONNX, or local models and KPI datasets. Object…
Use when generating or repairing DeepStream deepstream-app or deepstream-test5-app configs for RTSP/GStreamer sources, streammux, inference, or tracker pipelines. Not for independent audits.
Use when diagnosing DeepStream or GStreamer RTSP ingest reliability issues: packet loss, latency, decoder saturation, artifacts, disconnects, frame drops, source churn, and camera or network faults.
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
The repository README could not be loaded. You can still explore its Skills below.