Mayank8290

Clips Machine

设计创意v1.2.1
作者:Mayank8290更新于 2026-05-11共 4 个版本 · 最新版本发布于 2026-02-12clips-machine@clawhub_mayank8290/clips-machine
视频处理#Clips#Captions#Reels#Shorts#Tiktok

据 AlphaMoat 统计,截至 2026-09,Clips Machine 累计下载 3,427 次、获 10 个星标,在全部 5,078 个 AI 技能中排名第 3,252 位,在「设计创意」分类(512 个)中排名第 301 位。

累计安装
350
累计下载
3,427
星标
10
全站排名
#3,252
全站前 65% · 「设计创意」前 59%
平台累计安装累计下载星标评论
ClawHub ↗1063,4279-
SkillHub ↗3503,40510—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

说明带时间戳转写、按文字记录选择亮点、剪辑、字幕样式和视频导出,并输出 JSON 元数据和 Markdown 摘要。需 ffmpeg、yt-dlp 与 whisper-cpp。审阅命令,使用获授权媒体和可信输出路径并检查结果;亮点评分不保证传播效果。 来源材料标注的版本不一致;依赖实现细节前应核对实际绑定的修订。

资料发布于 2026-10-27

可以用来做什么

  • 从长录制中准备短片

什么时候用

  • 获授权视频需要按转写挑选亮点并添加字幕时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

为这段获授权录制规划亮点片段,审阅字幕并选择可信输出目录。

月度数据趋势

累计下载3,427
2,1962,8573,5182026-03 · 累计下载 2,2872026-05 · 累计下载 2,6622026-06 · 累计下载 2,7952026-07 · 累计下载 3,0922026-08 · 累计下载 3,2682026-09 · 累计下载 3,42726-0326-09
星标10
79102026-03 · 星标 72026-05 · 星标 82026-06 · 星标 92026-07 · 星标 92026-08 · 星标 102026-09 · 星标 1026-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-093,427—10
2026-083,268+5.7%10
2026-073,092+10.6%9
2026-062,795+5.0%9
2026-052,662—8
2026-032,287—7

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

4.2 KB · ClawHub v1.2.1
---
name: clips-machine
description: Transform long videos into viral short-form clips. Auto-detect best moments, add trendy captions, export for TikTok/Reels/Shorts. Self-contained, no external modules. 100% free tools.
version: 1.1.0
author: Mayank8290
homepage: https://github.com/Mayank8290/openclaw-video-skills
tags: video, clips, tiktok, reels, shorts, viral, captions, transcription
metadata: { "openclaw": { "requires": { "bins": ["ffmpeg", "yt-dlp", "whisper-cpp"] } } }
---
展开全部(共 163 行)
# Clips Machine

Transform long videos into viral short-form clips. Auto-detect the best moments, add trendy captions, export for TikTok/Reels/Shorts.

**100% FREE tools** - Runs entirely on your machine.

> **Love this skill?** Support the creator and help keep it free: **[Buy Me a Coffee](https://buymeacoffee.com/mayank8290)**

## What This Skill Does

1. **Input** any long video (YouTube URL, podcast, stream, local file)
2. **Transcribe** with timestamps using Whisper (free, local)
3. **Detect** viral-worthy moments using AI analysis
4. **Cut** the best 30-60 second segments
5. **Caption** with animated, trendy text styles
6. **Export** in vertical 9:16 format ready for upload

## Quick Start

```
Turn this podcast into viral clips: https://youtube.com/watch?v=xyz
```

```
Extract the 5 best moments from my-interview.mp4 and add captions
```

## Commands

### From YouTube URL
```
/clips-machine https://youtube.com/watch?v=VIDEO_ID
```

### From Local File
```
/clips-machine /path/to/video.mp4
```

### Custom Number of Clips
```
/clips-machine VIDEO --clips 10
```

### Caption Styles
```
/clips-machine VIDEO --style [style]
```

Available styles:
- `hormozi` - Alex Hormozi style (bold, word-by-word highlight) - **Most Viral**
- `minimal` - Clean white text
- `karaoke` - Word-by-word color change
- `news` - Lower third style
- `meme` - Impact font, top/bottom

## How Viral Detection Works

The AI analyzes the transcript looking for:

1. **Hook Potential** - Strong opening statements
2. **Emotional Peaks** - Passion, excitement, surprise
3. **Quotable Lines** - Memorable one-liners
4. **Controversial Takes** - Debate-worthy opinions
5. **Surprising Facts** - "Did you know" moments
6. **Actionable Advice** - Clear takeaways

Each moment gets a "virality score" from 1-100.

## Output Structure

```
~/Videos/OpenClaw/clips-[video-name]/
├── transcript.json      # Full transcript with timestamps
├── viral_moments.json   # Detected moments with scores
├── clip_001.mp4         # First viral clip (vertical, captioned)
├── clip_002.mp4         # Second viral clip
├── clip_003.mp4         # ...
└── summary.md           # Overview of all clips
```

## Supported Sources

| Source | Example |
|--------|---------|
| YouTube | `https://youtube.com/watch?v=...` |
| TikTok | `https://tiktok.com/@user/video/...` |
| Twitter/X | `https://twitter.com/user/status/...` |
| Twitch VOD | `https://twitch.tv/videos/...` |
| Local MP4 | `/path/to/file.mp4` |

## Requirements

- FFmpeg (`brew install ffmpeg`)
- yt-dlp (`brew install yt-dlp`)
- Whisper.cpp (`brew install whisper-cpp`)

## Setup

```bash
# Install dependencies
brew install ffmpeg yt-dlp whisper-cpp

# Or on Linux
sudo apt install ffmpeg
pip install yt-dlp
# Build whisper.cpp from source
```

## Monetization

| Method | Potential |
|--------|-----------|
| Clip service for creators | $50-150/video |
| Monthly retainer | $500-2,000/client |
| Podcast clipping agency | $2,000-5,000/mo |
| Sell this skill | $100-300 on ClawHub |

## Examples

### Podcast to Clips
```
Take this 2-hour podcast and find the 10 best moments:
https://youtube.com/watch?v=PODCAST_ID
Make them Hormozi-style with bold captions.
```

### Interview Highlights
```
/clips-machine interview.mp4 --clips 5 --style minimal
```

### Gaming Stream
```
Extract funny moments from my Twitch VOD:
https://twitch.tv/videos/12345
Add meme-style captions
```

---

## Support This Project

If this skill saved you time or made you money, consider buying me a coffee!

**[Buy Me a Coffee](https://buymeacoffee.com/mayank8290)**

Every coffee helps me build more free tools for the community.

---

Built for OpenClaw | Powered by Whisper + FFmpeg | [Support the Creator](https://buymeacoffee.com/mayank8290)

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Mayank8290 的其他技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。