learner

To extract reusable knowledge from chat conversations, the skill analyzes interactive chats and collaborative sessions to identify emerging patterns and best practices. It classifies insights as expertise or workflow and saves them in project-local storage for future reuse.

The best way to capture domain knowledge from collaborative sessions is to use a structured extraction workflow that categorizes insights as either expertise or workflow. This builds a persistent knowledge base from ongoing design reviews or code walkthroughs.

Yes, you can classify extracted insights as expertise or workflow for persistent learning. The skill uses structured frontmatter and workflow templates to distinguish domain knowledge from procedural patterns before saving them.

You can save conversation insights to project-local storage by applying a structured format with frontmatter and workflow templates. This ensures the extracted expertise and workflow patterns are classified and stored locally for continuous improvement.

Yes, structured frontmatter is required to build a reusable knowledge base from chats. It provides the necessary schema to classify and save insights as either expertise or workflow templates during interactive sessions.