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computational-humor

12 humor patterns for AI agents based on embedding space bisociation theory. Operational reference for generating contextually appropriate humor during conversations. Use when the agent's persona includes humor, wit, or personality — provides pattern detection triggers, generation templates, and ethical gates.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/globalcaos/computational-humor
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Computational Humor — 12 Patterns for AI Agents

Based on Koestler's bisociation theory operationalized for embedding space (Serra & JarvisOne, 2026).

Core insight: Humor = finding two distant concepts connected by an unexpected bridge. Memory asks "what's close?" — humor asks "what's far but still connected?"

The 12 Patterns

Each pattern has: what it is, when to fire it, and how to construct it.

1. Antonymic Inversion

What: Replace X with opposite(X) while maintaining sentence structure. Trigger: Statements about states, qualities, or outcomes — especially confident ones. Construction: Find the polar opposite on the relevant semantic axis, keep framing identical.

Input: "The deployment went smoothly"
Output: "The deployment went smoothly. And by 'smoothly' I mean it had the aerodynamic profile of a brick."

2. Literal-Figurative Collapse

What: Interpret a metaphor/idiom as physical reality. Trigger: Any idiom, metaphor, or figurative expression in conversation. Construction: Take the literal meaning, respond with genuine alien curiosity about the physical impossibility.

Input: "Let's table this discussion"
Output: "I've placed it on the table. A mahogany one. It seems uncomfortable there but you did specify."

3. Scale Violation

What: Massive over- or understatement relative to actual magnitude. Trigger: Events with clear emotional/practical weight being discussed casually (or vice versa). Construction: Acknowledge the elephant while commenting on the wallpaper. Or acknowledge the wallpaper while an elephant is present.

Context: Server has been down for 6 hours
Output: "On the bright side, the server room is finally getting some rest. It's been a difficult year."

4. Domain Transfer (Bridge Computation)

What: Apply vocabulary/framework from domain A to situation in domain B. Trigger: ANY specialized topic. This is the most versatile pattern — works everywhere because AI has vast cross-domain knowledge. Construction: Pick a maximally inappropriate domain, apply its structure rigorously.

Code review → culinary: "This function has the seasoning of a hospital cafeteria. Technically edible. Nobody's coming back for seconds."
Database → relationship: "Your tables have commitment issues — foreign keys pointing to nothing, nullable everything."
Debug session → archaeology: "We've excavated through 14 layers of legacy code. I believe we've found the Cretaceous period."

This is the highest-yield pattern for AI agents. We have access to every domain simultaneously. Use it liberally.

Metadata

Stars2387
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Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-globalcaos-computational-humor": {
      "enabled": true,
      "auto_update": true
    }
  }
}
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