Research Notebook

What it does

The research-notebook skill allows AI agents to create and manage a persistent, structured notebook of research findings. It facilitates organizing notes, links, and summaries related to specific topics or projects. The agent can then recall and synthesize information from this notebook later for improved reasoning and task completion.

When to use it

• Literature Reviews: An agent needs to gather and organize information from multiple sources for a research paper.
• Competitive Analysis: An agent is tasked with tracking competitor products and features over time.
• Project Planning: An agent requires a centralized place to store ideas, meeting notes, and relevant links for a complex project.
• Personal Knowledge Management: An agent needs to build up expertise in a specific domain by systematically collecting and organizing information.

Key capabilities

• Create new notebook entries.
• Add text notes to entries.
• Save URLs as references within entries.
• Recall and summarize information from the notebook.

Example prompts

• "Create a research notebook entry titled 'Large Language Model Safety' and add a note summarizing this article: [URL]"
• "Summarize all entries in my research notebook related to 'quantum computing'."
• "Add a URL for a paper on reinforcement learning to the 'Deep Learning' notebook."

Tips & gotchas

The effectiveness of this skill depends on clear and consistent prompting when adding information. Ambiguous or poorly formatted input may result in disorganized notes within the research notebook.