video-clip-skillClips a YouTube video locally using yt-dlp and ffmpeg. Supports auto-highlight detection, translation, and CapCut-style karaoke subtitle burning. Triggers wh...
Install via ClawdBot CLI:
clawdbot install chyyynh/video-clip-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.groq.com/openai/v1/audio/transcriptions`Calls external URL not in known-safe list
https://api.groq.com/openai/v1/audio/transcriptions`AI Analysis
The skill's external API call to Groq is documented as an optional Whisper transcription fallback when YouTube lacks subtitles, which aligns with the skill's stated purpose. However, the endpoint is not on a known-safe list and sends audio data externally, creating a minor privacy risk that requires user awareness.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Creators can extract highlights from long YouTube videos, add bilingual karaoke subtitles, and produce engaging clips for platforms like TikTok or Instagram. The auto-highlight detection helps identify viral moments, while translation and subtitle burning enhance accessibility and shareability.
Educators and trainers can clip specific segments from instructional videos, translate them into multiple languages, and add synchronized subtitles for better comprehension. This is useful for creating bite-sized learning modules or localized content for global audiences.
Marketing teams can repurpose webinar recordings or product demos by clipping key features, translating messages, and adding professional subtitles. The karaoke-style subtitles make content more engaging for ads or social media campaigns.
Organizations can use this skill to generate subtitles for videos lacking captions, leveraging the Whisper fallback for transcription. It supports creating accessible content for hearing-impaired audiences or translating videos for international distribution.
Individuals can clip favorite moments from YouTube videos, such as music performances or comedy sketches, and add custom subtitles for personal archives or sharing with friends. The auto-highlight mode simplifies finding interesting segments without manual timestamping.
Offer a web-based service where users can clip videos with basic features for free, while charging for advanced options like auto-highlight detection, multiple translations, or priority processing. Revenue comes from subscription tiers and pay-per-use credits for high-volume users.
Provide an API that allows businesses to integrate video clipping and subtitle generation into their own platforms, such as e-learning systems or content management tools. Charge based on API calls, data processing volume, or enterprise licensing agreements.
Run a service agency that manually handles video clipping, translation, and subtitle burning for clients in industries like marketing or education. Offer packages for bulk processing, custom styling, and quality assurance, with pricing based on project complexity and turnaround time.
💬 Integration Tip
Ensure yt-dlp and ffmpeg are installed and up-to-date, and set the GROQ_API_KEY environment variable for reliable subtitle fallback when YouTube lacks captions.
Scored Apr 19, 2026
视频自动剪辑助手。基于 FFmpeg 自动提取精彩片段、生成字幕、裁剪时长、制作短视视频,支持多平台导出。当用户需要:自动剪辑视频、提取关键词片段、生成字幕并烧录、导出短视频、提取视频精华、生成视频摘要时使用此技能。
Perform video editing tasks with ffmpeg, including cutting, merging, converting formats, extracting audio, adding subtitles, resizing, cropping, adjusting sp...
When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "reg...
Use when the user has a video + a target-language SRT and wants the video to actually speak that language — generates a time-aligned TTS voice dub. Routes by...
Download videos, extract transcripts, capture frames. Analyze YouTube, tutorials, DD videos with yt-dlp + Whisper + ffmpeg.
Extract frames or short clips from videos using ffmpeg.