vss-deploy-dense-captioning
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-deploy-dense-captioning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Purpose Stand up the RT-VLM dense-captioning microservice on its own and exercise every endpoint it exposes (file upload, generate_captions, stream add/delete, chat-completions, Kafka topics). ## Prerequisites For standalone RT-VLM deployment: - Docker, Docker Compose, NVIDIA Container Toolkit, and a visible GPU. - NGC registry credentials in `$NGC_CLI_API_KEY` for `docker login nvcr.io`, image
What does the vss-deploy-dense-captioning skill do?
Use this skill when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). Not for VSS profile deploy or video-search ingestion.
How do I install it?
Run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-deploy-dense-captioning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA-AI-Blueprints/video-search-and-summarization, a repository with 1,773 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.