session-summary

You can generate a structured session summary by directly requesting the AI to process your current chat context. The Skill applies a markdown template to extract key points and decisions, saving the result as a structured markdown file.

Summarizing a long conversation into per-turn reports requires reading the full dialogue context and applying a consistent markdown template. This Skill captures every turn and outputs an archived file named with the date and a short title.

Yes, you can use a markdown template to extract meeting notes. The Skill analyzes the chat session to identify core issues, decisions, and execution points, then formats them into a unified markdown summary for cross-team communication review.

Yes, this conversation summarization approach works for both live chats and existing transcripts. It reads the available conversation context regardless of source, applying the summary template to generate a consistent structured report for your records.

Generated session summaries are saved in markdown format. The output file is automatically named using the session-summary-YYYY-MM-DD-<short-title>.md convention, ensuring your archived conversation reports remain consistent and easily searchable.