Agent skill · Media & Video

vss-ask-video

Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 5 KB
Bundled scripts: none
Version: 3.2.0
Path: skills/vss-ask-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

# Video QnA using VLM through VSS Agent Use this skill when you need details about the video which requires VLM to look at the video frames — for example the agent has **no** usable prior answer and needs a **fresh look at the pixels** for a specific clip. --- ## When to Use - The user asks **what happens in the video**, what **objects / people / actions** appear, **colors**, **timing**, **safety*

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

Use this skill to ask the VSS agent's video_understanding tool a fresh visual question about a recorded clip. Not for prior tool output, search hits, or metadata-answerable questions.

How do I install it?

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