A specialized AI engine designed to transform generic or weak script openers into high-retention, creator-native hooks for short-form video content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hook-rewriter
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 hook-rewriter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Hook Rewriter is a high-performance utility within the Openclaw Skills ecosystem designed to solve the critical problem of low viewer retention. In the fast-paced world of TikTok Shop and social commerce, the first 3 seconds determine a video's success. This skill analyzes existing headlines, scripts, or hooks and reconstructs them into multiple high-impact variants that feel authentic and non-corporate.
By leveraging the framework of Openclaw Skills, this tool ensures your content avoids the 'AI-generated' or 'overly polished' feel that modern audiences ignore. It focuses on earned attention through curiosity gaps, social proof, and contrarian framing, making it an essential asset for performance marketers and content creators.
To deploy the Hook Rewriter within your AI agent environment, ensure your Openclaw Skills directory is correctly mapped. You can initialize the skill using the following configuration steps:
# Navigate to your agent directory
cd my-ai-agent
# Add the Hook Rewriter skill definition
openclaw install hook-rewriter
# Verify installation
openclaw skills list
The Hook Rewriter organizes output based on psychological triggers and testing feasibility. Data is typically structured as follows:
| Component | Description |
|---|---|
| Diagnosis | A brief technical breakdown of the original hook's weaknesses. |
| Variant List | A collection of 5-10 rewrites categorized by pattern (Curiosity, Proof, etc.). |
| Pattern Labels | Metadata tags identifying the specific psychological angle used. |
| Best-Use Notes | Contextual advice on which platform or audience segment fits each variant. |
| Safety Layer | Alternative rewrites provided if the original input contains high-risk claims. |
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