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clip-hand-skill

Master video clipping workflows with detailed reference material for yt-dlp downloads, Whisper transcription with word-level timing, SRT subtitle generation, and ffmpeg video processing. Learn platform-specific shell syntax, model selection, scene and silence detection, vertical video formatting, and caption styling across Windows, macOS, and Linux.

clip-hand-skill provides expert guidance for downloading videos, transcribing audio with Whisper, generating SRT subtitles, and processing clips with ffmpeg.

AI-generated summary based on this skill's SKILL.md

18,065 2,283 Apache-2.0updated by RightNow-AI

Decision gist · record as of 2026-07-02

clip-hand-skill provides expert guidance for downloading videos, transcribing audio with Whisper, generating SRT subtitles, and processing clips with ffmpeg. Master video clipping workflows with detailed reference material for yt-dlp downloads, Whisper transcription with word-level timing, SRT subtitle generation, and ffmpeg video processing. Learn platform-specific shell syntax, model selection, scene and silence detection, vertical video formatting, and caption styling across Windows, macOS, and Linux.

manual: git clone https://github.com/RightNow-AI/openfang → cp -r openfang/crates/openfang-hands/bundled/clip ~/.claude/skills/clip
crates/openfang-hands/bundled/clip/SKILL.md · version 105a64f2

Use it when

  • clip-hand-skill includes comprehensive Whisper transcription setup guidance covering model selection, word-level timestamps in JSON output.
  • clip-hand-skill teaches ffmpeg video clipping and editing techniques for creating vertical 9:16 format content optimized for TikTok Shorts.

Verify before relying

Read SKILL.md below before installing (2 files). Open directory: indexed for reading, not audited.

Same gist for agents: .md · .json

Install

RightNow-AI/openfang/clip · repository language: Rust

Open directory. Skills are indexed for reading, not audited. Review a skill's body before installing it.

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

How do I download YouTube videos and extract audio with clip-hand-skill?

clip-hand-skill provides workflows for downloading YouTube videos using yt-dlp with best format selection and extracting audio. The skill covers yt-dlp command syntax across Windows, macOS, and Linux platforms, including format flags for optimal quality and file size. Audio extraction integrates with Whisper transcription pipelines to prepare content for subtitle generation and further processing.

What does clip-hand-skill offer for Whisper transcription setup?

clip-hand-skill includes comprehensive Whisper transcription setup guidance covering model selection, word-level timestamps in JSON output, and SRT subtitle generation from audio. The skill details how to configure Whisper for precise timing synchronization, parse JSON3 format outputs, and integrate transcription results with ffmpeg for burning subtitles into video files.

How can clip-hand-skill help me create vertical video for TikTok Shorts?

clip-hand-skill teaches ffmpeg video clipping and editing techniques for creating vertical 9:16 format content optimized for TikTok Shorts and similar platforms. The skill covers aspect ratio conversion, scene detection, silence detection, keyframe alignment, and styled caption formatting using ASS subtitle formats for professional-looking social media clips.

Can clip-hand-skill help distribute video clips via messaging APIs?

Yes, clip-hand-skill covers distributing video clips through Telegram and WhatsApp APIs. It includes Telegram bot API integration with sendvideo handling for 50MB file size limits, WhatsApp Business API video upload procedures, and platform-specific optimization strategies to ensure clips meet each service's technical requirements.

What ffmpeg capabilities does clip-hand-skill document?

clip-hand-skill provides detailed ffmpeg tutorials covering video clipping, subtitle burning, thumbnail generation, contact sheet creation, scene and silence detection, and audio merging workflows. The skill addresses cross-platform syntax differences for Windows, macOS, and Linux, plus advanced techniques like keyframe alignment and styled caption rendering.

Does clip-hand-skill cover text-to-speech and audio alternatives?

clip-hand-skill references Edge TTS as a free text-to-speech alternative and covers merging TTS audio with original video content. The skill also documents Groq Whisper API for fast transcription as an alternative approach, helping you optimize transcription speed and quality based on your workflow requirements.

SKILL.md

Rendered from the published skill. Quoted content, verbatim.

Video Clipping Expert Knowledge

Cross-Platform Notes

All tools (ffmpeg, ffprobe, yt-dlp, whisper) use identical CLI flags on Windows, macOS, and Linux. The differences are only in shell syntax:

Feature macOS / Linux Windows (cmd.exe)
Suppress stderr 2>/dev/null 2>NUL
Filter output \| grep pattern \| findstr pattern
Delete files rm file1 file2 del file1 file2
Null output device -f null - -f null - (same)
ffmpeg subtitle paths subtitles=clip.srt subtitles=clip.srt (relative OK, absolute needs C\\:/path)

IMPORTANT: ffmpeg filter paths (-vf "subtitles=...") always need forward slashes. On Windows with absolute paths, escape the colon: subtitles=C\\:/Users/me/clip.srt

Prefer using file_write tool for creating SRT/text files instead of shell echo/heredoc.


yt-dlp Reference

Download with Format Selection

```

Best video up to 1080p +

(truncated - see the full file via the links below)

File tree — 2 files
crates/openfang-hands/bundled/clip/HAND.toml
crates/openfang-hands/bundled/clip/SKILL.md

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Tags
video-automationspeech-to-textsubtitle-generationmedia-deliveryaudio-extractioncross-platform-clicaption-stylingcloud-apisbatch-processingstreaming-optimization