aif-note

To summarize research findings from a conversation context, the skill extracts key insights and saves them as a numbered note file. It uses a fixed Markdown template containing date, source, key findings, details, and open questions.

The best way to persist key findings after a research session is to save them as a numbered note file. The skill automatically increments the file number and derives a slug from the topic to organize research summaries.

You can save research insights as a Markdown file by applying a fixed template that structures the data into sections. The template includes fields for date, source context, key findings, details, and open questions for future reference.

When summarizing a deep-dive exploration, numbered notes are stored in the `.ai-factory/notes/` directory. The system auto-increments the note number and appends a topic-derived slug to create the final Markdown filename.

Yes, you can automatically extract open questions from your current conversation context. The skill processes the session's discussion, discoveries, and insights to populate a dedicated open questions section in the note template.

No, this note-taking tool requires no external dependencies to save research summaries. It operates independently to extract concise summaries from the conversation context and write them directly as numbered Markdown files.