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Designs human-AI conversations with patterns for turn-taking, repair sequences, grounding, and structures like interviews, co-creation, or guided workflows.
How this skill is triggered — by the user, by Claude, or both
Slash command
/model-interaction-design:conversation-patternsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Conversation between humans and AI follows predictable structural patterns. Designing these deliberately — rather than leaving them to model defaults — is core interaction design work.
Conversation between humans and AI follows predictable structural patterns. Designing these deliberately — rather than leaving them to model defaults — is core interaction design work.
Every human-AI conversation has a rhythm. The designer decides:
Conversations break down. Repair is how they recover:
Grounding is how participants establish shared understanding:
Common structural patterns for human-AI conversation:
npx claudepluginhub owl-listener/ai-design-skills --plugin model-interaction-designUse this skill when the user asks about "NLX design", "natural language experience", "conversational UX", "how to design an AI interaction", "conversation design", "how the AI should talk to users", "design the conversation flow", "AI UX design", or wants to design the natural language interaction patterns for an AI-powered feature. This is the UX design skill for conversational and AI-first interfaces.
Structures Claude prompts using behavior/task/knowledge zones, XML tagging, and tone registers for skills, agents, modes, complex tasks, tools, and code generation.
Designs conversational flows for website chatbots and AI agents with intent architecture, branching logic, fallback handling, and escalation patterns. Distinguishes scripted, hallucinating, and structured-guided-conversation approaches.