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analyze-video

Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities

Skill by Nuva-Lab

IndexedApache-2.0★ 6
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/nuva-lab-analyze-video

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities

Use cases: writing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/analyze-video

What's inside

Skill name
analyze-video
Description
Analyze raw video content using Gemini to identify speakers, topics, key moments, and potential clip opportunities
License
Apache-2.0
Instructions
58 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (2)

  • SKILL.md
  • analyze.py

SKILL.md (first lines)

# Analyze Video Skill

Use this skill when you need to understand the content of a video file before creating clips.

## What This Skill Does

Sends a video to Gemini 3 Pro for comprehensive analysis, extracting:
- **Speakers**: Who appears in the video, their roles/titles if identifiable
- **Topics**: Main subjects discussed
- **Notable Quotes**: Memorable statements with timestamps
- **Visual Highlights**: Dynamic moments, gestures, reveals
- **Audience Reactions**: Applause, laughter, engagement
- **Panel Exchanges**: Interesting back-and-forth between speakers

## Usage

```bash
# Analyze a single video
python skills/analyze-video/analyze.py <video_path>

# Output goes to assets/outputs/analysis/<video_name>.json
```

## Output Format

```json
{
  "video_file": "path/to/video.mp4",
  "duration_seconds": 120,
  "speakers": [
    {"name": "Speaker Name", "role": "Title/Organization", "first_seen": "00:05"}
  ],
  "topics": ["Topic 1", "Topic 2"],
  "notable_quotes": [
    {"speaker": "Name", "quote": "...", "timestamp": "01:23", "context": "..."}
  ],
  "visual_highlights": [
    {"timestamp": "02:15", "description": "...", "type": "gesture|reveal|reaction"}
  ],
  "clip_opportunities": [
    {
      "start": "01:20",
      "end": "01:45",
      "type": "quote|exchange|highlight",
      "description": "...",
      "score": 8
    }
  ]
}
```

## Notes

- For videos >100MB, upload to Gemini File API (handled automatically)
- Analysis typically takes 30-60 seconds per video
- Timestamps are in MM:SS format

From Nuva-Lab/vibecut, Apache-2.0.

More from Nuva-Lab/vibecut

Signals

Stars
6
Forks
1
Open issues
0
Last commit (this folder)
Jan 30, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Nuva-Lab

Cite this page

analyze-video skill. Agent Mart. https://agentmart.dev/skills/nuva-lab-analyze-video (last updated 2026-10-24)