A high-performance engagement engine designed to transform content into viral, click-worthy titles and hooks using proven social media psychological triggers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install clickbait-engine
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 clickbait-engine 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 Clickbait Engine?
The Clickbait Engine is a specialized framework designed for Openclaw Skills that enables AI agents to generate sensational, engagement-maximizing copy. By synthesizing the patterns of top-tier creators, it moves beyond generic AI writing to create high-conviction statements, curiosity gaps, and pattern interrupts. This skill is essential for developers and marketers using Openclaw Skills to ensure their social media posts, YouTube videos, and technical threads cut through the noise of the digital landscape.
The engine focuses on zero-hedging, absolute conviction, and raw emotional resonance. It eliminates the sterile, corporate voice often associated with AI, replacing it with authentic, high-impact language that forces a reaction from the audience. Whether you are building an automated social presence or optimizing manual content, this tool provides the psychological edge needed for modern virality.
Clickbait Engine Use Cases
- Crafting sensational YouTube titles and thumbnail copy that leverage the curiosity gap.
- Generating high-engagement X (Twitter) hooks using absolutist statements and loss aversion.
- Creating RPG-style lore captions for gaming clips and community leaderboards.
- Developing authentic, low-fidelity reactions for brand accounts to build parasocial intimacy.
- Extracting provocative quote pulls from long-form interviews for viral clip distribution.
How Clickbait Engine Works
- Analyze the raw input content to identify the core message or most provocative data point.
- Select a creator archetype based on the desired tone: The Absolutist, The Reveal, or The Reactor.
- Apply specialized psychological formulas to generate 3 to 5 title or hook variations.
- Score each variation based on Curiosity Gap, Emotional Trigger, and Shareability metrics.
- Filter out AI anti-patterns such as hedging, em-dashes, and corporate jargon to ensure authenticity.
Clickbait Engine Setup
To deploy this skill within your environment, ensure you have the Openclaw Skills framework installed and your agent is configured to access the skill manifest.
# Initialize the clickbait engine within your project
openclaw install clickbait-engine
# Run the engine to generate hooks for a specific topic
openclaw run clickbait-engine --topic "The future of AI agents"
For best results, maintain a verified-handles.md file in your root directory to allow the agent to correctly tag influencers in generated content.
Clickbait Engine Data Schema & Taxonomy
The Clickbait Engine organizes its output using a structured scoring and categorization system to ensure maximum impact.
| Attribute | Description |
|---|---|
| Archetype | The creator style applied (e.g., The Absolutist, The Lore Clipper) |
| Curiosity Score | A 1-5 rating of the information gap created by the hook |
| Emotional Trigger | The primary driver (e.g., Loss Aversion, Tribal Identity, Outrage) |
| Lingo Dictionary | Specialized terminology used (e.g., mogging, ascending, debuff) |
| Anti-Pattern Check | Boolean verification that no corporate hedging or AI tells are present |
Clickbait Engine Advanced Features
- Multi-agent support for scoring titles across different psychological profiles.
- Automated handle verification to prevent incorrect tagging of high-profile creators.
- Medieval Mindset mode for framing modern trends as historical parallels.
- Lore-based RPG framing that gamifies real-life events into serialized sagas.
- Real-time performance scoring based on curiosity gap and shareability potential.
SKILL.md
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