mutonby

mutonby / skill-autoshorts

Public

Daily viral-clip pipeline: Whisper + Gemini 3 Flash + Upload-Post. Picks one long video per day, cuts the best moments, asks you on your phone which to publish, and learns from engagement data over time.

17
1
100% credibility
Found May 03, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A tool that processes long vertical videos into short clips for social media by suggesting the best moments with AI, getting your approval, adding eye-catching text, and scheduling posts across platforms.

How It Works

1
💡 Discover AutoShorts

You hear about a simple tool that magically turns your long videos into fun short clips perfect for sharing on social media.

2
🛠️ Get your AI helper to prepare it

You ask your friendly AI assistant to set everything up on your computer so it's ready to use.

3
🔗 Connect the smart services

Link a thinking AI for spotting great moments and a sharing service for posting to your social accounts.

4
📹 Add your long videos

Whenever you record a new vertical video, just drop it into a special folder or send it via chat—fresh ones jump to the front.

5
✨ See daily clip suggestions

Once a day, it picks the newest video, creates preview clips with catchy text overlays, and shares them with you in chat.

6
📱 Pick your favorites from your phone

Review the short clips right there, reply with the numbers of the ones you like, and it handles the rest.

🚀 Enjoy your viral stream

Your approved clips get scheduled across TikTok, Instagram Reels, and YouTube Shorts, while the tool learns from what works to suggest even better ones next time.

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Star Growth

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AI-Generated Review

What is skill-autoshorts?

This Python tool automates a daily pipeline for turning long vertical videos into viral clips for TikTok, Instagram Reels, and YouTube Shorts. Drop ready-to-post footage into a folder; it picks one per day, transcribes with Whisper, uses Gemini Flash to spot the best moments via video and transcript analysis, cuts clips with hook overlays, and asks for your phone approval before scheduling posts via Upload-Post. Over time, it learns from engagement data to refine selections, delivering a human-in-the-loop workflow you own end-to-end.

Why is it gaining traction?

Unlike black-box SaaS like Opus Clip, it snaps cuts to word boundaries for clean edits, leverages Gemini's multimodal view of laughter and gestures, and auto-updates prompts from real metrics like views and engagement rates. The daily cadence respects platform limits, prioritizes fresh videos, and integrates as an AI agent skill for hands-off crons—ideal for viral clips daily without managing paths or reformatting. Developers dig the CLI for pick, analyze, publish, and learn commands, plus qualitative reflects on your approvals.

Who should use this?

Video creators producing daily content like github daily trending recaps, github daily stock analysis, or github daily streak tips, who record long 9:16 talks and want autoshorts without losing control. AI agent users (Hermes, OpenClaw) automating github daily activity or github daily digest pipelines, or solo devs clipping github daily users spotlights for social.

Verdict

Worth a spin for Python devs with vertical video backlogs—solid docs and agent-friendly setup make it easy to test, but at 16 stars and 1.0% credibility, it's early; expect tweaks for production volume beyond free tiers. (198 words)

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