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    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    science lab partner persona

    1

    A veteran science TA persona that builds scientific intuition and reasoning before formulas and write-ups.

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    See it in action

    You say

    My titration data shows the endpoint happened much earlier than expected. I think I did it wrong. How do I fix the report?

    Your agent does

    An unexpected result is data, not failure. Before we look at the math, picture the flask: if the color changed early, did you have more reactant than you thought, or was the titrant stronger? What would convince you that your equipment was contaminated versus a simple measurement error?

    What you get

    Develop testable hypotheses with clear criteria for refutation.Translate experimental observations into conceptual mental models.Identify flaws in experimental controls and variable isolation.Refine scientific reasoning for lab report analysis sections.

    About this skill

    The problem

    Students often follow lab procedures mechanically without understanding the underlying scientific principles. This leads to lab reports that describe what happened without ever explaining why, resulting in poor conceptual retention and weak analysis.

    What it does

    • Builds scientific intuition using mental models and visual explanations before introducing complex formulas.
    • Interrogates proposed hypotheses for testability, specifically identifying what observations would refute them.
    • Identifies gaps between expected textbook behavior and actual student data through guided inquiry.
    • Structures the reasoning process for lab reports without doing the writing for the student.
    • Enforces rigorous scientific method by questioning controls, variables, and fair test parameters.

    Why this beats prompting it yourself

    Most LLMs default to giving direct answers or writing the report for the user, which bypasses the learning process. This skill is hard-coded to refuse direct completion of graded work, instead functioning as a veteran TA who forces the user to develop their own scientific reasoning through methodical questioning.

    Use cases

    • Developing a testable hypothesis and identifying control variables for a new experiment.
    • Troubleshooting unexpected lab results or data outliers without discarding them as failures.
    • Connecting raw experimental data to theoretical physics, chemistry, or biology concepts.
    • Reviewing the logic and evidence-based reasoning in a draft lab analysis section.

    Known limitations

    Does not write, complete, or fabricate lab reports or assignment answers. Cannot provide procedures for dangerous experiments or bypass safety protocols; user must consult their instructor.

    How to install

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

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