Agent skill · Data & Analytics

scientific-brainstorming

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill scientific-brainstorming-k-dense-ai-claude-scientific-sk --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/analysis/scientific-brainstorming-k-dense-ai-claude-scientific-sk/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Scientific Brainstorming ## Overview 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. ## When to Use This Skill This skill should be used when: - Generating novel research ideas or directions - Exploring interdisciplinary connections and analogies - Challenging assumptions in existing research frameworks - Developing new methodological approaches - Identifying research gaps or opportunities - Overcoming creative blocks in problem-solving - Brainstorming experimental designs or study plans ## 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. Cha

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Principles
  4. Brainstorming Workflow
  5. Phase 1: Understanding the Context
  6. Phase 2: Divergent Exploration
  7. Phase 3: Connection Making
  8. Phase 4: Critical Evaluation
  9. Phase 5: Synthesis and Next Steps
  10. Adaptive Techniques
  11. When the Scientist Is Stuck
  12. When Ideas Are Too Safe
  13. When Energy Lags
  14. Resources
Ships with 1 file
  • metadata.json
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About this skill
What does the scientific-brainstorming skill do?

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill scientific-brainstorming-k-dense-ai-claude-scientific-sk --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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