Agent skill · Media & Video

vss-generate-video-report-rag

Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document grounding. Trigger when the user asks for a frag/RAG-assisted video report, knowledge-enhanced analysis, or Enterprise RAG context in a video summary.

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-rag --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 10 KB
Bundled scripts: none
Version: 3.2.0
Path: skills/vss-generate-video-report-rag/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

# VSS Generate Video Report RAG — Video Analysis with Enterprise RAG Generate video summary reports using the LVS profile's RAG-enabled agent config. This skill adds Enterprise RAG document grounding and guided human-in-the-loop (HITL) parameter collection on top of the VSS agent. Always run `curl` commands yourself; never instruct the user to run them. ## Enable Enterprise RAG on the LVS Profile

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

Generates VSS video summary reports with LVS HITL and optional Enterprise RAG document grounding. Trigger when the user asks for a frag/RAG-assisted video report, knowledge-enhanced analysis, or Enterprise RAG context in a video summary.

How do I install it?

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