Agent skill · NVIDIA
vss-setup-video-analytics-api
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.
What it needs
About 5k tokens when loaded.
What this skill does
Purpose Deploy the video-analytics-api REST service standalone with the user's chosen config, data-log bind, and Elasticsearch / Kafka connectivity. Instructions Follow the routing tables and step-by-step workflows below. Each section that ends in workflow, quick start, or flow is intended to be executed top-to-bottom. Detailed reference material lives in references/. Examples Worked end-to-end examples are kept under evals/ (each .json manifest contains a runnable scenario). Run a Tier-3 evaluation to replay them: A minimal standalone bring-up looks like: Follow references/deploy-video-analytics-api-service.md for the full workflow (config source, data-log bind, infrastructure dependencies, REST endpoints). For the field-by-field JSON config reference, see references/configuration.md. Limitations Requires the matching VSS profile / microservice to be deployed and reachable from the caller. NGC-hosted models and NIMs may be subject to rate-limits, GPU memory requirements, and license restrictions. Concurrency, GPU memory, and storage limits depend on the host hardware and the profile's compose file. Troubleshooting Error: REST call returns connection refused. Cause: target microservice not running. Solution: probe /docs or /health; redeploy via vss-deploy-profile or the matching vss-deploy- skill. Error: HTTP 401/403 from NGC pulls. Cause: missing/expired NGCCLIAPIKEY. Solution: docker login nvcr.io and re-export the key before retrying. Error: container OOM or model fails to load. Cause: insufficient GPU memory for the selected profile. Solution: switch to a smaller variant or free GPUs via docker compose down. VSS Setup Video Analytics API — Standalone Deploy just the vss-video-analytics-api container (the Node.js REST API from the upstream video-analytics-api repo), not as part of the full warehouse blueprint stack. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/vss-setup-video-analytics-api