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conversation-patterns

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Turn-taking, repair sequences, grounding, and dialogue structure for human-AI interaction.

claude-plugin/model-interaction-design/skills/conversation-patterns/SKILL.md

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# Conversation Patterns
Conversation between humans and AI follows predictable structural patterns. Designing these deliberately — rather than leaving them to model defaults — is core interaction design work.
## Turn-Taking Structure
Every human-AI conversation has a rhythm. The designer decides:
- **Turn length**: Short exchanges (chatbot-style) vs. long-form (essay generation). Match turn length to task complexity.
- **Turn initiation**: Who speaks first? Does the AI greet, or wait? Does it ask a clarifying question before acting?
- **Turn boundaries**: How does the user signal "I'm done"? How does the AI signal "I need more"?
## Repair Sequences
Conversations break down. Repair is how they recover:
- **Self-repair**: The AI detects its own error and corrects ("Actually, let me revise that...")
- **Other-repair**: The user corrects the AI ("No, I meant the other one")
- **Clarification requests**: The AI asks for disambiguation before proceeding
- **Graceful misunderstanding**: The AI acknowledges confusion without frustrating the user
Design repair sequences explicitly. Don't rely on the model to improvise them.
## Grounding
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