What problem does it solve?
Managing multiple, ongoing conversations with an AI can be challenging, leading to lost context or fragmented information. This skill provides robust tools to create, switch, list, update, and delete AI conversation threads, ensuring persistent context and traceability.
Core Features & Use Cases
- Thread Lifecycle Management: Easily create new threads for different projects or topics, switch between them, and delete old ones.
- Context Persistence: Automatically tracks file changes and messages within the current thread, maintaining a complete conversation history.
- Git Integration: Records file modifications and Git status, linking AI interactions directly to development workflows.
- Use Case: A developer is working on two separate features. They can create a thread for "Feature A" and another for "Feature B", switching between them as needed. All AI interactions, code changes, and discussions related to Feature A are stored in its dedicated thread, preventing context overlap.
Quick Start
Create a new thread named 'project-alpha-feature-x'.