Agent skill · Data & Analytics

vss-generate-video-report

Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.

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

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

Facts
Files in the skill folder: 8
SKILL.md size: 18 KB
Bundled scripts: none
Version: 3.2.0
Declared author: NVIDIA Video Search and Summarization team
Path: skills/vss-generate-video-report/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

# Report Generate a video analysis report by routing to one of two backends — **never via** `POST /generate` on the VSS agent. | Mode | Backend | |---|---| | **A. Video clip** | `/vss-manage-video-io-storage` → clip URL → **VLM chat/completions** | | **B. Incident range** | `/vss-query-analytics` → incident list → narrative report | If the request is ambiguous (e.g. "report on `<sensor>`" with no

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About this skill
What does the vss-generate-video-report skill do?

Use this skill when producing a VSS analysis report — Mode A per-clip VLM, Mode B incident-range via video-analytics. Not for standalone video summarization, real-time alerts or ad-hoc Q&A.

How do I install it?

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