maxazure

maxazure / video-editing-skill

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OpenClaw Skill: Auto video editing for talk/vlog videos — speech recognition, sentence splitting, subtitle burning, and clip merging

13
2
100% credibility
Found Mar 28, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of scripts that automate editing of talking-head videos by transcribing speech, splitting clips, adding subtitles and covers, and rendering final outputs optimized for vertical short-form platforms.

How It Works

1
🔍 Discover the video editor

You find this handy tool that turns your raw talking videos into polished shorts for social media.

2
💻 Get it ready

Add the skill to your AI assistant or set up the scripts on your computer with easy steps.

3
📂 Drop in your video

Place your unedited video footage into the special folder.

4
💬 Tell the AI what to do

Chat naturally like 'Cut out my stumbles, add subtitles, make a cool cover' and let it handle the editing magic.

5
✂️ Review the edits

Check the split clips, subtitles, chapter bars, and fancy covers it created for you.

6
🎬 Make your final video

Combine the best parts into smooth videos at normal or faster speeds, ready to post.

✅ Share your hit video

Upload your professional-looking short to platforms like Xiaohongshu or Douyin and watch the views roll in!

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Star Growth

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AI-Generated Review

What is video-editing-skill?

This Python OpenClaw skill turns raw talk or vlog footage into platform-ready shorts for Xiaohongshu or Douyin. Drop videos in a folder, run transcription via faster-whisper or OpenAI Whisper, split by sentences (skipping filler), burn auto-detected Chinese/English subtitles, add covers/B-roll/overlays, and merge clips—all in one GPU-accelerated FFmpeg pass with zero quality loss. Install via `openclaw skills add https://github.com/maxazure/video-editing-skill.git` for instant GitHub repo integration.

Why is it gaining traction?

It hooks OpenClaw GitHub Copilot users with natural prompts like "clip my videos, add subs"—no YAML configs needed. Stands out from CapCut scripts with single-encode speed variants (1x/1.25x/1.5x), chapter timelines, and China mirrors for fast model downloads, beating cloud tools on privacy and cost. OpenClaw skills list buzz grows as devs share GitHub releases for tweaks.

Who should use this?

Vloggers prompting OpenClaw or Claude for quick edits, skipping Premiere drudgery. Devs prototyping video editing skill courses or automating tutorial pipelines. Podcasters in video editing skill demand handling multi-clip B-roll locally on Mac/Linux/WSL.

Verdict

Worth forking the OpenClaw GitHub skill repo if you're building agent workflows—excellent README and CLI like `render_final.py --config` shine despite 13 stars and 1.0% credibility. Early maturity means test multi-video flows, but it's a time-saver over manual hacks.

(198 words)

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