Video Master

🌐Community
by huangserva · vlatest · Repository

Huangserva's Video-Master analyzes videos, extracts key insights, generates summaries, and identifies objects/scenes with high accuracy.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add video-master npx -- -y @trustedskills/video-master
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "video-master": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/video-master"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

Video Master analyzes videos, extracts key insights, generates summaries, and identifies objects/scenes with high accuracy. It leverages advanced video processing techniques to provide detailed understanding of video content. The skill's capabilities extend beyond simple summarization to include object and scene recognition within the video itself. This allows agents to gain a deeper comprehension of visual information.

When to use it

  • Summarize long training videos for quick review.
  • Identify specific objects or scenes in surveillance footage.
  • Generate concise reports on video content for presentations.
  • Extract key moments from interviews or lectures.

Key capabilities

  • Video analysis
  • Key insight extraction
  • Summary generation
  • Object/scene identification

Example prompts

  • "Summarize this video and list all the objects detected."
  • "Analyze this training video and extract the most important steps."
  • "Describe the scenes present in this surveillance footage."

Tips & gotchas

  • The skill’s accuracy depends on video quality.
  • Processing time may vary depending on video length and complexity.
  • Currently, specific object recognition capabilities are not detailed publicly.

Tags

🛡️

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Details

Version
vlatest
License
Author
huangserva
Installs
58

🌐 Community

Passed automated security scans.