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clip-hand-skill

Download videos with yt-dlp, transcribe audio with Whisper, and edit clips with FFmpeg.

Updated Aug 27, 2026
Search Tags:#social media#content creation#yt-dlp#whisper#ffmpeg#video clipping#shorts generation
One-click install
npx skills add https://github.com/vTajae/0x000026 --skill clip-hand-skill-vtajae
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clip-hand-skill
Source: https://github.com/vTajae/0x000026/tree/main/crates/openfang-hands/bundled/clip
Command: npx skills add https://github.com/vTajae/0x000026 --skill clip-hand-skill-vtajae

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of short, engaging video clips from longer videos, perfect for social media platforms like TikTok, Reels, and Shorts.

Core Features & Use Cases

  • Automated Clipping: Identifies and extracts compelling segments from any video URL or file.
  • Caption Generation: Automatically transcribes audio and burns captions onto clips.
  • Publishing: Optionally publishes clips directly to Telegram and/or WhatsApp.
  • Use Case: Turn a long webinar or podcast into a series of viral short clips for marketing and engagement.

Quick Start

Use the clip-hand skill to download the video from the provided URL and generate three short clips with captions.

Frequently Asked Questions about clip-hand-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate short clips from long-form video content?▼

Automated video clipping transforms long-form video content into short clips by downloading the source, transcribing audio with Whisper, analyzing segments for engagement, and editing with FFmpeg to burn in captions.

Can I use yt-dlp and FFmpeg to automate video clipping and captioning?▼

Yes, yt-dlp and FFmpeg are used to automate video clipping and captioning by downloading source videos, isolating engaging segments, and burning transcribed text directly onto the formatted short clips.

How does Whisper transcription integrate into automated shorts generation?▼

Whisper transcription supports automated shorts generation by converting video audio into text, which is then analyzed for compelling segments and used by FFmpeg to burn captions onto the final video clips.

Does this video clipping workflow support publishing directly to social media?▼

The video clipping workflow supports optional publishing by sending the generated short clips directly to Telegram and WhatsApp after the FFmpeg editing and captioning process is complete.

What is the best way to turn a podcast into viral shorts with captions?▼

The best way to turn a podcast into viral shorts with captions is using an AI editor that analyzes Whisper transcriptions for engaging moments, then uses FFmpeg to extract and format those segments with burned-in text.

Are there limitations when processing local video files versus URL downloads?▼

Processing local video files versus URL downloads has no major limitations, as the tool includes robust error handling and cross-platform compatibility to manage both local file inputs and yt-dlp URL downloads effectively.

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