Agent skill · research science · aiskillstore
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.
Why this skill is useful
Provides structured methodologies for generating interdisciplinary research ideas that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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. 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. Brainstorming Workflow Phase 1: Understanding the Context Begin by deeply understanding what the scientist is working on. This phase establishes the foundation for productive ideation. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/scientific-brainstorming--1aca88