Menu
Turn-taking, repair sequences, grounding, and dialogue structure for human-AI interaction.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Proactively identifying failure modes, misuse, and unintended consequences.
Managing shared context, memory, and state across multiple agents.
Coordinating text, image, voice, and tool-use modalities in a single interaction.
Helping users form warranted trust in the AI — neither overtrust nor undertrust — through deliberate confidence and source signalling.
Reading user emotional state from text signals — caps, punctuation density, repetition, latency — and adapting before the user disengages.
Designing review workflows to surface and mitigate bias in AI outputs.
| name | conversation-patterns |
| description | Turn-taking, repair sequences, grounding, and dialogue structure for human-AI interaction. |
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:
