# video-highlight-extraction

This skill finds standout moments in long videos and turns them into clips or highlight reels. Use it for games, sports, podcasts, webinars, and meetings.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 344 installs · ★ 44
- Author: eachlabs
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/eachlabs/skills/tree/HEAD/skills/video-highlight-extraction/SKILL.md
- Updated: 2026-10-07
- HTML: https://affpapa.org/en/nevibecode/skills/video-highlight-extraction

## What it does

The skill sends a video URL to each::sense AI and asks it to locate useful sections such as game wins, decisive sports plays, strong podcast excerpts, meeting decisions, or webinar takeaways. It can produce separate clips, a highlight compilation, or a shorter recap built from the source video.

The workflow uses the `eachsense/beta` model through the `each::sense` API, with streamed output and either `max` or `eco` mode. You need `EACHLABS_API_KEY` and a reachable video URL before running it. Without `EACHLABS_API_KEY`, the API request cannot authenticate.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill video-highlight-extraction -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/video-highlight-extraction/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/video-highlight-extraction/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill video-highlight-extraction -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/video-highlight-extraction/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill video-highlight-extraction -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/video-highlight-extraction/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install eachlabs/skills video-highlight-extraction
```

2. **Manually: put the files in place**
- File: `.github/skills/video-highlight-extraction/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill video-highlight-extraction -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/eachlabs/skills --path skills/video-highlight-extraction
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/video-highlight-extraction/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add eachlabs/skills --skill video-highlight-extraction -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/eachlabs/skills/tree/HEAD/skills/video-highlight-extraction/SKILL.md

## When to use it
- find standout moments in a long recording
- build gaming clips from a stream
- pull decisive plays from a sports video
- select shareable podcast excerpts
- turn a meeting recording into a short recap

## Example prompts
- Find the best moments in `https://example.com/long-form-content.mp4` and create separate clips.
- Extract gaming highlights from `https://example.com/valorant-stream.mp4`, focusing on wins and decisive plays.
- Make a short meeting recap from `https://example.com/team-meeting.mp4` with decisions and assigned actions.

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From the same set: [eachlabs/skills](https://affpapa.org/en/nevibecode/by/eachlabs/skills.md) — 44 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md