video-search-and-summarization

NVIDIA-AI-Blueprints/video-search-and-summarization

The NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.

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320 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization ~/.claude/skills/video-search-and-summarization

# Project-specific

git clone https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization .claude/skills/video-search-and-summarization

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization

Option 2: Clone to extensions directory

git clone https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization ~/.gemini/extensions/video-search-and-summarization

Topics

agents llm rag skills video-analytics video-search vlm

Related Skills

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

skill-writer

Tensors and Dynamic neural networks in Python with strong GPU acceleration