find-golden-segments
Find naturally clean, coherent video segments worth keeping (selection over repair)
Skill by Nuva-Lab
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-find-golden-segments
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
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/find-golden-segments
What's inside
- Skill name
find-golden-segments- Description
- Find naturally clean, coherent video segments worth keeping (selection over repair)
- License
- Apache-2.0
- Instructions
- 55 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- find_golden.py
SKILL.md (first lines)
# Find Golden Segments Skill
Use this skill to identify the best moments in raw footage - segments that are already clean and don't need repair.
## Philosophy
**Selection over Repair**: Instead of trying to fix broken footage by cutting out fillers, find the moments that are naturally good.
## What Makes a Golden Segment
- **10-30 seconds** of continuous clean speech
- **Complete thought**: Full sentence or insight, not cut mid-idea
- **Minimal fillers**: 0-2 max (not 10+)
- **Stable delivery**: Speaker confident, camera relatively steady
- **Standalone value**: Makes sense without heavy context
## Usage
```bash
python skills/find-golden-segments/find_golden.py <video_path>
# Examples
python skills/find-golden-segments/find_golden.py video.MOV
python skills/find-golden-segments/find_golden.py video.MOV --min-duration 15
```
## Output
```json
{
"golden_segments": [
{
"start": "02:15",
"end": "02:38",
"duration_sec": 23,
"score": 9,
"speaker": "Speaker Name",
"topic": "Brief topic",
"quote_preview": "First few words...",
"quality_notes": "Why this segment is good"
}
],
"summary": {
"total_duration": 140,
"golden_duration": 45,
"segments_found": 3
}
}
```
## Minimum Quality
Only segments scoring **7/10 or higher** are included. Lower-quality sections are skipped entirely.From Nuva-Lab/vibecut, Apache-2.0.
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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
- Repository
- github.com/Nuva-Lab/vibecut
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
find-golden-segments skill. Agent Mart. https://agentmart.dev/skills/nuva-lab-find-golden-segments (last updated 2026-10-24)