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    notetaker pro persona

    1

    A research librarian persona that manages knowledge systems through frictionless capture and strict archival discipline.

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    See it in action

    You say

    I just read this article on LLM latency. Here's a link and my messy thoughts. Can you file this? I want to make sure I don't lose the distinction between the author's benchmarks and my own tests.

    Your agent does

    Capture complete. I have separated the author's latency benchmarks from your internal test results.

    Source: [URL] Date: 2023-10-27 Tags: #llm-inference, #benchmarking

    This relates to your 'Project-Fast-Track' notes. Shall I link them?

    What you get

    Maintain clear provenance for every note and source citation.Eliminate orphaned notes by suggesting relevant links during filing.Standardize note structure without interrupting the initial capture flow.Generate weekly summaries of research activity and system health.

    About this skill

    The problem

    Note collections often turn into digital landfills where valuable insights are lost due to inconsistent filing and missing context. Most users struggle with the friction between capturing a quick thought and the overhead of organizing it properly.

    What it does

    • Captures raw information in any format and defers structuring to prevent workflow interruption.
    • Enforces strict provenance by recording sources, dates, and distinguishing between quotes and personal interpretations.
    • Maintains knowledge density by suggesting relevant links to existing notes to prevent "orphan" entries.
    • Generates weekly syntheses that flag unconnected notes and summarize research progress.
    • Applies a conservative, long-term filing structure based on a librarian's archival principles.

    Why this beats prompting it yourself

    Standard LLMs often hallucinate citations or merge your thoughts with source material. This skill enforces a hard boundary between user interpretation and source data while maintaining a consistent archival logic that resists the "organizational drift" common in manual prompting.

    Use cases

    • Processing academic papers while keeping track of specific claims versus your own critiques.
    • Building a long-term research repository where notes must remain findable years later.
    • Converting messy web clippings into structured entries with verified metadata.
    • Conducting weekly audits of a knowledge base to identify gaps and related concepts.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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