Agent skill · Backend & API

vss-summarize-video

Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.

NVIDIA-AI-Blueprintsgithub.com/NVIDIA-AI-BlueprintsGitHub ↗
claude-codeNOASSERTION
Install
npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-summarize-video --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 14
SKILL.md size: 18 KB
Bundled scripts: none
Version: 3.2.1
Declared author: NVIDIA Video Search and Summarization team
Path: skills/vss-summarize-video/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,773 · +19 this week
Language: C++
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## 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) and inline in the per-workflow `curl` blocks below

More from video-search-and-summarization
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About this skill
What does the vss-summarize-video skill do?

Use to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. Not for report generation or live RTSP captioning.

How do I install it?

Run `npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization --skill vss-summarize-video --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.

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