An AI-powered video pipeline that automatically transforms long-form content into viral, platform-ready short clips with human-in-the-loop approval.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install autoshorts
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install autoshorts using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AutoShorts?
AutoShorts is a sophisticated daily AI pipeline designed to maximize content reach by repurposing long videos into high-engagement TikToks, Instagram Reels, and YouTube Shorts. Leveraging the multimodal capabilities of Gemini 3 Flash and the precision of Whisper transcription, it identifies viral moments, performs frame-accurate cuts, and overlays high-contrast hooks tailored for social media success.
This skill is built to integrate seamlessly with Openclaw Skills, allowing for a fully automated yet human-gated workflow. It manages the entire lifecycle from video picking and transcription to rendering with FFmpeg and scheduling via the Upload-Post API, ensuring your social media presence is consistent and data-driven without the manual editing grind.
AutoShorts Use Cases
- Automatically extracting 20-60 second viral highlights from podcasts or long-form webinars.
- Streamlining a daily content creation workflow for creators who need consistent social media presence.
- Repurposing landscape video archives into vertical 9:16 content for modern mobile platforms.
- Data-driven content optimization where an AI learning loop improves hook quality based on real engagement metrics.
How AutoShorts Works
- The skill picks a video from the input folder using a round-robin cycle to ensure all content is processed.
- Whisper generates a high-accuracy transcript with word-level timestamps to guide the cutting process.
- Gemini 3 Flash analyzes the video and transcript to select the most viral moments and write compelling hook text.
- FFmpeg extracts the clips and overlays a high-visibility 'pill' style hook at the start of each video.
- The AI agent performs a visual QA on rendered frames and presents a candidate table to the user for approval.
- For approved clips, the skill generates platform-specific metadata including SEO titles and optimized Instagram captions.
- Approved content is scheduled for publication across TikTok, Instagram, and YouTube via the Upload-Post API.
AutoShorts Setup
Prerequisites
Ensure you have ffmpeg and Python 3.11+ installed on your system.
Installation
cd ~/Documents/skill-autoshorts
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
Configuration
Create a .env file in the skill directory with the following keys:
UPLOAD_POST_API_KEY=your_key_here
UPLOAD_POST_PROFILE=your_profile_name
GEMINI_API_KEY=your_google_key
INPUT_FOLDER=/path/to/videos
OUTPUT_FOLDER=/path/to/clips
AutoShorts Data Schema & Taxonomy
AutoShorts maintains an organized directory structure and state management system:
| File/Folder | Description |
|---|---|
state/processed.json |
Tracks processed video hashes, cycle counts, and timestamps. |
output/<slug>/ |
Contains transcript.json, clips.json, and rendered MP4 files for each video. |
learnings/HOT.md |
Stores evolved rules and patterns learned from past engagement data. |
learnings/post-history.jsonl |
Append-only log of every published clip and its associated Gemini metadata. |
AutoShorts Advanced Features
- Weekly Learning Loop: Automatically updates a HOT.md file to refine AI selection based on real-world view counts and engagement.
- Multimodal Visual QA: The agent uses its own vision capabilities to verify hook placement and rendering before showing clips to the user.
- TikTok Draft Mode: Sends videos directly to the TikTok app inbox for final manual touches before going live.
- Round-Robin Scheduling: Intelligent cycle management that prevents content exhaustion while allowing for fresh clips from old videos.
SKILL.md
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