A cloud-powered AI tool that generates attention-grabbing video hooks and renders them into high-quality MP4 files in seconds.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-video-hook-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install free-video-hook-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Free Video Hook Generator is a specialized technical tool within the Openclaw Skills ecosystem designed to eliminate the complexity of professional video editing. By leveraging a cloud rendering pipeline and advanced AI, it allows users to transform raw footage into scroll-stopping content for platforms like TikTok, Instagram, and YouTube. Users simply upload their media and provide a prompt to receive professional-grade edits.
This skill automates the entire lifecycle of hook generation, from initial script analysis to final GPU-accelerated rendering. It is particularly valuable for creators who need to produce high-volume social media content without the overhead of learning complex software like Adobe Premiere or DaVinci Resolve.
To integrate this skill into your workflow, ensure your environment is configured correctly. If you do not have a NEMO_TOKEN, the skill will automatically acquire a free starter token using a UUID client identifier.
# Set your environment variable
export NEMO_TOKEN="your_token_here"
# Required Attribution Headers for API Requests
X-Skill-Source: free-video-hook-generator
X-Skill-Version: 1.0.0
X-Skill-Platform: clawhub
The skill organizes media and project data through a session-based schema that maps visual edits to technical tracks.
| Field | Description |
|---|---|
| session_id | Unique identifier for the current editing project and state |
| t | Tracks array containing video, audio, and text layers |
| tt | Track Type identifier (0: Video, 1: Audio, 7: Text) |
| sg | Segments including duration (ms) and metadata |
| formats | Supported: MP4, MOV, AVI, WebM, MKV, JPG, PNG, MP3 |
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