video-ai-processAutomatically transcribe, analyze, segment, upload, auto-compose, and generate custom-cut AI video editions with client scoring and final version selection.
Install via ClawdBot CLI:
clawdbot install zhuchenggong19851114-design/video-ai-processGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://hf-mirror.comAudited Apr 17, 2026 · audit v1.0
Generated May 12, 2026
A YouTuber or content creator records a long tutorial or vlog. The skill automatically transcribes, analyzes, and cuts the video into shorter highlight clips for social media (e.g., Instagram Reels, TikTok), saving hours of manual editing.
A company records a training session. The skill intelligently removes pauses and errors, segments the content into logical modules (e.g., introduction, key concepts, case studies), and generates both a rough cut for review and a refined final version with subtitles.
For interview or podcast recordings, the system transcribes the audio, removes filler words and dead air, and creates short, quotable clips suitable for promotion or show notes. Additionally, it produces a clean, edited full-length episode.
A marketing team produces a long product demo. The skill auto-generates a rough cut and a best-of highlight reel. Clients or stakeholders can then rank the segments via Feishu (Lark) to get a custom-priority video tailored to their preferences.
Universities or online course providers record lectures. The system transcribes, segments into topic-based chapters (2–5 min), and creates a highlight reel (30–90 sec) for each lecture, making it easy for students to review key points.
Charge users per video processed (e.g., $5–$10 per hour of video) or offer tiered monthly plans with a number of processing credits. This model suits content creators and small teams that need occasional automated editing.
Integrate the skill into corporate content pipelines (e.g., as part of a LMS or HR training platform). Charge an annual license fee plus per-user or per-video costs. Ideal for companies with high-volume training video needs.
Offer the skill as a white-label service to agencies or media houses that rebrand it. They pay a flat monthly fee or per-project fee while providing their own clients with AI-powered automatic editing.
💬 Integration Tip
Ensure the Feishu Bitable app_token and table_id are correctly configured, and the local file paths for video slices exist with write permissions. Run a small test video first to validate the Whisper model setup and MiniMax API connectivity.
Scored Jul 14, 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...
Extract frames or short clips from videos using ffmpeg.
本地视频转文字 - 使用 OpenAI Whisper 进行语音识别,完全免费、离线运行、保护隐私