scientific-brainstorming_skill

Overview

This skill is a research ideation partner for creative scientific problem-solving. It helps generate hypotheses, explore interdisciplinary connections, challenge assumptions, and shape actionable methodologies. Use it to find research gaps, overcome blocks, and convert wild ideas into testable plans.

How this skill works

I start by asking targeted questions to understand your context, goals, constraints, and implicit assumptions. Then I generate diverse, cross-domain ideas using techniques like analogy, assumption reversal, scale shifting, and constraint manipulation. Next I map connections between ideas, evaluate feasibility, and propose concrete next steps such as pilot experiments, literature to consult, or potential collaborators.

When to use it

• When you need novel research directions or hypotheses
• When exploring interdisciplinary approaches or analogies
• To challenge core assumptions in a project or model
• When designing experiments or methodological innovations
• To break creative blocks or expand idea breadth

Best practices

• Treat the session as a dialogue—expect back-and-forth and iterative refinement
• Share key constraints (time, budget, safety, data availability) early for realistic ideas
• Welcome wild suggestions initially, then move to pragmatic adjustments
• Use short, focused prompts to explore one sub-problem at a time
• Capture promising threads and convert them into specific, small experiments or searches

Example use cases

• Generate 10 hypothesis variants for an unexplained experimental result and rank them by testability
• Find cross-disciplinary techniques that could accelerate data collection or analysis
• Challenge a dominant assumption in your field and outline alternative models to test
• Design a pilot experiment with minimal resources to falsify a core claim
• Map research gaps in a topic and propose a prioritized reading list and collaborator types