scientific-brainstorming

Generates novel research ideas through structured conversational brainstorming and interdisciplinary exploration.

Updated Oct 7, 2022
One-click install
npx skills add https://github.com/tamagusko/linux-cfg --skill scientific-brainstorming-tamagusko
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-brainstorming
Source: https://github.com/tamagusko/linux-cfg/tree/main/dotfiles/claude/skills/scientific-brainstorming
Command: npx skills add https://github.com/tamagusko/linux-cfg --skill scientific-brainstorming-tamagusko

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Researchers often face creative blocks, tunnel vision within their own discipline, or difficulty identifying novel research directions. This Skill acts as a collaborative ideation partner that helps scientists generate hypotheses, challenge assumptions, and discover interdisciplinary connections during early-stage research planning. ## Core Features & Use Cases - Five-Phase Brainstorming Workflow: Guides sessions from context understanding through divergent exploration, connection making, critical evaluation, and synthesis of next steps. - Structured Ideation Techniques: Applies cross-domain analogies, assumption reversal, scale shifting, and constraint manipulation to push beyond obvious ideas. - Advanced Methodologies Reference: Includes SCAMPER, Six Thinking Hats, morphological analysis, TRIZ, and biomimicry frameworks for structured exploration when standard techniques stall. - Use Case: A biologist stuck on a drug delivery problem can brainstorm with the Skill, which draws analogies from materials science, applies biomimicry principles, and helps identify a testable pilot experiment. ## Quick Start Ask the assistant to brainstorm new research directions for your current project, for example by describing your research problem and requesting help exploring unconventional approaches.

Frequently Asked Questions about scientific-brainstorming

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I brainstorm new research ideas with AI?

Describe your research problem, field, and constraints, then engage in a guided conversation. The Skill uses divergent exploration techniques like cross-domain analogies and assumption reversal to generate diverse ideas before critically evaluating the most promising ones.

What brainstorming techniques work for scientific research?

Effective techniques include SCAMPER for adapting methods, morphological analysis for exploring parameter combinations, TRIZ for resolving contradictions, and biomimicry for nature-inspired solutions. The references file details each framework with scientific examples.

When should I use brainstorming versus hypothesis generation?

Use brainstorming for open-ended, early-stage exploration when you lack specific observations or data. Use hypothesis-generation when you already have data and need to formulate testable hypotheses from it.

Can AI help with interdisciplinary research connections?

Yes, the Skill draws analogies across fields such as connecting biological systems to network theory or physics concepts to economics. It proposes cross-disciplinary methodologies and collaboration opportunities relevant to your problem.

What are the limitations of AI-assisted research brainstorming?

Brainstorming produces ideas, not validated findings; every direction still requires literature review and experimental verification. The Skill is conversational and does not execute experiments, search databases, or access external data sources.