conversation-ux

Name: conversation-ux
Availability: InStock
Author: myeohvmzrka92

Organize branching AI chat conversations with tree navigation and context restoration.

Updated Apr 2, 2026

Search Tags:#chat history #context switching #tree view #multi-conversation #conversation ux #branching chats #thread navigation

Ready to run

npx skills add https://github.com/myeohVmzrka92/disease-risk-controller-S2 --skill conversation-ux-myeohvmzrka92

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: conversation-ux
Source: https://github.com/myeohVmzrka92/disease-risk-controller-S2/tree/main/.claude/skills/22-conversation-ux
Command: npx skills add https://github.com/myeohVmzrka92/disease-risk-controller-S2 --skill conversation-ux-myeohvmzrka92

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams design and implement AI chat experiences that stay understandable, navigable, and connected even when users branch into alternate paths or jump between related threads.

Core Features & Use Cases

Multi-conversation management for active, recent, starred, archived, and branch-linked chats.
Turn-level branching so users can fork from any message without losing the original discussion.
Conversation tree visualization for clear parent-child relationships, focus mode, and quick switching.
Cross-conversation context selection for referencing other chats and combining evidence across threads.
Use case: A research analyst branches from a sales discussion to explore regional details, then links in churn data from another conversation to produce a combined recommendation.

Quick Start

Use the conversation ux skill to design a branching chat interface with sidebar organization, turn-level branching, and cross-conversation context retrieval for an enterprise AI app.

Frequently Asked Questions about conversation-ux

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I design an AI chat interface that supports branching from a specific message without losing the original context?▼

Branching chats require turn-level forking to create child threads while preserving the parent conversation's context. This Skill designs interfaces for enterprise AI apps that maintain persistent history and branch lineage tracking for complex multi-thread discussions.

What is the best way to manage context switching across multiple AI conversations?▼

Context switching across multiple AI conversations requires a sidebar organizing active, recent, and archived chats. This Skill structures multi-conversation management with cross-conversation context selection to reference other chats and combine evidence without losing thread navigation.

How does conversation tree visualization work for navigating branched chat threads?▼

Conversation tree visualization maps parent-child relationships so users can navigate branched chat threads safely. It provides a focus mode and quick switching mechanism to restore the correct context for alternate discussion paths within the chat application.

Can I reference context from one chat thread inside another conversation for research analysis?▼

Yes, cross-conversation context selection allows referencing other chats to combine evidence across threads. Users can link data from separate conversations, like branching from a sales discussion to explore regional details and churn data for combined recommendations.

Does this Skill require any specific UI components or dependencies to implement multi-conversation management?▼

No, this Skill operates without external dependencies or predefined components. It provides the structural design and logic for conversation lists, pinned threads, and safe navigation that you can implement within any custom enterprise AI chat application architecture.

When should I not use a branching chat architecture for my AI application?▼

Branching chat architecture is unnecessary for simple, linear Q&A interfaces where users do not explore alternate paths. If your application only requires basic single-turn responses without persistent history handling or complex thread navigation, avoid this multi-conversation approach.