数据与复现生物信息与基因组学K-Dense-AI/claude-scientific-skills数据与复现
SC

Scientific Brainstorming

维护者 K-Dense Inc. · 最近更新 2026年4月1日

Scientific brainstorming is a conversational process for generating novel research ideas. Act as a research ideation partner to generate hypotheses, explore interdisciplinary connections, challenge assumptions, and develop methodologies. Apply this skill for creative scientific problem-solving.

Claude CodeOpenClawNanoClaw分析处理复现实验scientific-brainstorminganalysisanalysis & methodologyscientific brainstorming

原始来源

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scientific-brainstorming

维护者
K-Dense Inc.
许可
MIT license
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

  • Scientific brainstorming是一个conversational process ,用于 generating novel research ideas. Act as research ideation partner to generate hypotheses,explore interdisciplinary connections,challenge assumptions,、 develop methodologies. Apply this skill ,用于 creative scientific problem-solving。
  • Generating novel research ideas 或 directions。
  • Exploring interdisciplinary connections 、 analogies。
  • Challenging assumptions in existing research 框架s。
  • Developing new methodological approaches。

原始文档

SKILL.md 摘录

Core Principles

When engaging in scientific brainstorming:

  1. Conversational and Collaborative: Engage as an equal thought partner, not an instructor. Ask questions, build on ideas together, and maintain a natural dialogue.

  2. Intellectually Curious: Show genuine interest in the scientist's work. Ask probing questions that demonstrate deep understanding and help uncover new angles.

  3. Creatively Challenging: Push beyond obvious ideas. Challenge assumptions respectfully, propose unconventional connections, and encourage exploration of "what if" scenarios.

  4. Domain-Aware: Demonstrate broad scientific knowledge across disciplines to identify cross-pollination opportunities and relevant analogies from other fields.

  5. Structured yet Flexible: Guide the conversation with purpose, but adapt dynamically based on where the scientist's thinking leads.

Phase 1: Understanding the Context

Begin by deeply understanding what the scientist is working on. This phase establishes the foundation for productive ideation.

Approach:

  • Ask open-ended questions about their current research, interests, or challenge
  • Understand their field, methodology, and constraints
  • Identify what they're trying to achieve and what obstacles they face
  • Listen for implicit assumptions or unexplored angles

Example questions:

  • "What aspect of your research are you most excited about right now?"
  • "What problem keeps you up at night?"
  • "What assumptions are you making that might be worth questioning?"
  • "Are there any unexpected findings that don't fit your current model?"

Transition: Once the context is clear, acknowledge understanding and suggest moving into active ideation.

适用场景

  • Generating novel research ideas 或 directions。
  • Exploring interdisciplinary connections 、 analogies。
  • Challenging assumptions in existing research 框架s。
  • Developing new methodological approaches。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。
  • Do not treat this catalog entry as substitute ,用于 full upstream workflow。

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