scientific-brainstorming

Scientific Brainstorming - A Scientific Ideation Assistant for Research Ideas

Skill Overview

Scientific Brainstorming is a conversational research ideation assistant that uses AI collaboration to help researchers generate novel ideas, explore interdisciplinary connections, challenge research assumptions, and break out of fixed thinking patterns to find innovative directions.

Use Cases

1. Explore New Directions During Research Planning

When you’re looking for a paper topic, planning a new project, or searching for your next research direction, this skill uses open-ended dialogue to broaden your thinking, uncover research perspectives that may have been overlooked, and reveal interdisciplinary opportunities. It’s ideal for early stages when you don’t yet have specific data and need to produce many ideas.

2. Overcome Creative Bottlenecks in Research

Stuck on a problem and can’t move forward? Feeling trapped in fixed thinking and unable to see other possibilities? The skill helps you break out of conventional thinking frameworks using techniques such as reverse assumptions, scale transformations, and cross-domain analogies to find new solution paths.

3. Develop Innovative Research Methods

When you feel existing methods aren’t enough—or when you want to try a completely different experimental design—this skill helps you imagine “what if there were no limits.” By combining emerging technologies (such as CRISPR, AI, and quantum computing), it proposes brand-new methodological ideas.

Core Features

1. A Five-Stage Structured Brainstorming Framework

Understanding phase: Use open-ended questions to deeply learn your research background, goals, and constraints

Divergence phase: Use interdisciplinary analogies, hypothesis reversal, scale transformations, and other techniques to generate a large number of ideas

Connection phase: Identify relationships among ideas and discover unexpected combinations

Evaluation phase: Conduct feasibility analysis on the most promising directions—staying critical but not dismissive

Synthesis phase: Form an actionable research path and clarify the next steps

2. Multi-Dimensional Creative Stimulation Techniques

Including cross-domain analogies (borrowing concepts from other scientific fields), hypothesis reversal (challenging core premises), scale transformations (thinking about problems across different spatial/temporal scales), imagining with constraints/adding elements, applying technology frontiers (such as AI and quantum computing), etc. Each technique comes with specific prompting scripts and interaction methods.

3. Adaptive Dialogue Strategy

Dynamically adjust based on your state—when your thinking is stuck, break down the problem; when your ideas are too conservative, encourage bold innovation; when your energy drops, inject enthusiasm. Throughout, it maintains equal collaboration rather than lecturing. You take on at least 50% of the dialogue, ensuring the ideas genuinely belong to you.

FAQ

What research stage is Scientific Brainstorming best suited for?

It’s most suitable for early stages before you have specific data and need to generate lots of ideas. If you already have experimental data and need to extract testable hypotheses from it, you should use the hypothesis-generation skill. This skill emphasizes divergence and exploration and does not directly handle data analysis.

How does this skill help me find interdisciplinary opportunities?

The skill includes interdisciplinary analogy capabilities and will proactively ask questions like, “Could an X concept from physics be applied to your biology problem?” It is familiar with knowledge across multiple disciplines, can identify common blind spots in your field, suggests possible ways to connect methodologies from different domains, and recommends potential collaboration directions.

What do I need to prepare to use this skill?

You don’t need to prepare much in advance. Just be ready to describe your research interests, your current confusion, or the questions you want to explore. The skill will guide you through dialogue to supplement whatever information is needed. When using it for the first time, you can start with a simple statement like, “What I’m most interested in right now is…”

How is it different from the hypothesis-generation skill?

Both are research ideation tools, but they serve different purposes: Scientific Brainstorming is for early-stage creative divergence, handling open-ended questions, and emphasizing imagination and interdisciplinary connections; hypothesis-generation is for later-stage extracting testable hypotheses from specific data, with a more structured and convergent approach. They can be used together: brainstorm to open up possibilities first, then use hypothesis generation to narrow down and validate.