据 AlphaMoat 统计,截至 2026-10,ClawHub - YouTube Downloader & Clipper 累计下载 5,904 次、获 1 个星标,按累计下载量在本次参与排名的 5,109 个 AI 技能中排名第 2,330 位,在「设计创意」分类(516 个)中排名第 249 位。
列表默认按累计下载量排序,也可按星标排序;详情页排名按累计下载量计算。
| 平台 | 累计下载 | 星标 | 评论 |
|---|---|---|---|
| ClawHub ↗ | 3,671 | 1 | 1 |
| SkillHub ↗ | 5,904 | 1 | — |
各平台的计数口径不同,统计时间不一致。
使用精确时间戳剪辑并下载YouTube视频的指定时间段或完整视频,支持多种画质及仅音频MP3提取。
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 |
|---|---|---|---|
| 2026-10 | 5,904 | — | 1 |
| 2026-09 | 3,515 | — | 1 |
| 2026-08 | 3,425 | +5.0% | 1 |
| 2026-07 | 3,261 | +10.6% | 1 |
| 2026-06 | 2,949 | +5.2% | 1 |
| 2026-05 | 2,802 | — | 1 |
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。
# ClawHub - YouTube Video Clipper & Downloader Extract specific sections from YouTube videos with precise timestamps. A powerful ClawHub skill that makes video clipping effortless - just provide a URL and time range. ## Overview ClawHub is designed primarily for **video clipping** - extracting specific time ranges from YouTube videos. Whether you need a 30-second highlight, a 5-minute tutorial segment, or any custom time range, ClawHub handles it with precision. It also supports full video downloads, audio extraction, and quality selection when needed. ## Key Features
### Primary: Video Clipping - **Precise Timestamp-Based Clipping**: Extract any time range (MM:SS or HH:MM:SS) - **Quality Selection**: Clip in 720p, 1080p, or best available - **Audio Clipping**: Extract audio clips as MP3 - **Fast Processing**: Optimized for quick clip extraction ### Secondary: Full Downloads - Download complete videos in various qualities - Extract full audio tracks - Custom output filenames and formats ## Usage ### Basic Syntax ``` /clawhub <youtube-url> [options] ``` ## Clipping Examples (Primary Use) ### Clip a specific section ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --clip 00:30-02:15 ``` Extracts from 30 seconds to 2 minutes 15 seconds. ### Clip with quality selection ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --clip 01:00-03:30 --quality 1080p ``` Extracts a 1080p clip from 1 minute to 3 minutes 30 seconds. ### Clip audio only ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --clip 00:10-01:00 --audio-only ``` Extracts audio from 10 seconds to 1 minute as MP3. ### Clip with custom filename ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --clip 02:00-04:30 --output highlight.mp4 ``` ### Clip tutorial section ``` /clawhub https://youtube.com/watch?v=tutorial123 --clip 05:20-12:45 --quality 720p ``` Perfect for extracting specific tutorial steps. ### Clip music section ``` /clawhub https://youtube.com/watch?v=music456 --clip 01:15-02:30 --audio-only --output chorus.mp3 ``` ## Download Examples (Secondary Use) ### Download full video ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ ``` ### Download in specific quality ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --quality 720p ``` ### Extract full audio ``` /clawhub https://youtube.com/watch?v=dQw4w9WgXcQ --audio-only ``` ## Available Options | Option | Description | Example | |--------|-------------|---------| | `--clip <start>-<end>` | **PRIMARY FEATURE** - Clip from start to end time | `--clip 00:30-02:15` | | `--quality <resolution>` | Specify quality (720p, 1080p, best) | `--quality 1080p` | | `--audio-only` | Extract audio as MP3 | `--audio-only` | | `--output <filename>` | Custom output filename | `--output my_clip.mp4` | | `--format <format>` | Output format (mp4, mkv, webm, mp3) | `--format mkv` | ## Time Format for Clipping The skill accepts flexible timestamp formats: - **MM:SS**: `01:30` (1 minute 30 seconds) - **HH:MM:SS**: `01:15:30` (1 hour 15 minutes 30 seconds) - **M:SS**: `1:30` (same as 01:30) - **SS**: `90` (converted to 01:30) ## How Clipping Works 1. You provide a YouTube URL and time range 2. Claude parses your timestamps 3. The skill extracts just that section using optimized methods: - **Method 1**: yt-dlp's native clipping (fastest) - **Method 2**: ffmpeg precise cutting (fallback) 4. Your clip is saved to the current directory ## Use Cases ### Content Creators - Extract highlights for shorts or reels - Clip reaction sections - Create compilation segments - Extract B-roll footage ### Educators - Clip specific tutorial steps - Extract lecture segments - Create study materials - Share specific explanations ### Musicians - Extract song sections - Clip audio for remixes - Get specific verses or choruses - Create practice loops ### Researchers - Extract relevant video segments - Create timestamped references - Archive specific content - Analyze particular sections ## Output Location All clips and downloads are saved to your current working directory. You can specify a custom path using the `--output` flag. ## Important Notes - **Pure Python solution** - no binary dependencies, just Python - **Auto-installs dependencies** - yt-dlp Python module installed automatically if needed - **Clipping is optimized and fast** - no need to download full videos first - **Quality is maintained** - clips preserve the original video quality - **Copyright matters** - only clip content you have rights to access - **Flexible timestamps** - use whatever format is natural for you - **Minimal setup** - Python is usually pre-installed, everything else is automatic ## Technical Details - **Language**: Pure Python implementation - **Primary Library**: yt-dlp Python module (auto-installed via pip) - **Audio Processing**: ffmpeg (required for audio extraction, usually pre-installed) - **Supported Formats**: All standard video and audio formats - **URL Support**: youtube.com, youtu.be, and all YouTube URL variants - **Installation**: Fully automatic - checks and installs yt-dlp module as needed ## Troubleshooting ### Clip not extracting correctly The skill will automatically try alternate methods if the first approach fails. ### Invalid timestamps Use format: MM:SS or HH:MM:SS (e.g., `01:30` or `01:15:30`) ### Video unavailable Verify the YouTube URL is correct and the video is publicly accessible. ## License MIT License ## Support For issues or questions, visit the project repository or submit feedback through ClawHub.
ContextWeave 架构图一键生成
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用 whisper 命令行在本地把音频转写成文字或做翻译的技能。
面向界面设计的思路与落地建议技能,覆盖布局、交互流程、设计令牌与前端改动。
先写一套设计哲学,再用 SVG 渲染出海报成品。
面向高质量前端界面的设计与实现技能。
数据月份:2026-10 · 下载/星标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。