Skill 详情
scientific-brainstorming
Brainstorming-focused but intended for scientific research contexts.
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SKILL.md
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--- name: "scientific-brainstorming" description: "Structured ideation methods: SCAMPER, Six Thinking Hats, Morphological Analysis, TRIZ, Biomimicry, plus more. Decision framework for picking methods by challenge type (stuck, improving, systematic exploration, contradiction). Use when generating research ideas or exploring interdisciplinary connections." license: "CC-BY-4.0" --- # Scientific Brainstorming ## Overview Scientific brainstorming is a structured ideation process for generating, connecting, and evaluating research ideas. Unlike casual brainstorming, scientific brainstorming applies formal methodologies (SCAMPER, TRIZ, Morphological Analysis, etc.) matched to the specific creative challenge. The process moves through divergent exploration, connection-making, critical evaluation, and synthesis to produce actionable research directions with testable hypotheses. ## Key Concepts ### Core Principles Five principles guide effective scientific brainstorming sessions: 1. **Collaborative**: Brainstorming works best as dialogue, not monologue. Build on each other's ideas rather than presenting finished thoughts. Use "Yes, and..." framing to extend ideas before evaluating them. In AI-assisted sessions, the scientist contributes domain expertise and the AI contributes breadth and pattern-matching across disciplines. 2. **Curious**: Approach the problem space with genuine curiosity. Ask "what if" and "why not" before "why." Suspend expertise-driven assumptions temporarily to allow unexpected connections. Experts often dismiss novel directions because they conflict with established mental models -- curiosity counteracts this. 3. **Domain-Aware**: Ground brainstorming in real scientific constraints. Ideas must eventually connect to testable hypotheses, available methods, and feasible experiments. Domain knowledge channels creativity productively. Pure creativity without domain grounding produces ideas that cannot be tested; pure domain expertise without creativity produces incremental work. 4. **Structured**: Use formal ideation methods rather than unguided free association. Structure prevents cognitive fixation (repeatedly returning to the same idea space) and ensures systematic coverage of the possibility space. Unstructured brainstorming sessions typically explore less than 20% of the available idea space. 5. **Challenging**: Actively seek ideas that feel uncomfortable or counterintuitive. The most productive brainstorming sessions push past obvious solutions into territory that requires deeper analysis. If every idea generated feels reasonable and safe, the session is not pushing hard enough. ### Brainstorming Methods Catalog Nine structured methodologies, each suited to different creative challenges: | Method | When to Use | Key Technique | Scientific Example | |--------|-------------|---------------|-------------------| | **SCAMPER** | Improving or extending an existing method/system | Systematically apply 7 operators (Substitute, Combine, Adapt, Modify, Put to use, Eliminate, Reverse) to the current approach | Substitute fluorescence for radioactive labeling in an assay; Combine two biomarker panels into a multiplex panel | | **Six Thinking Hats** | Need multiple perspectives on a research question | Assign structured roles: White (data/facts), Red (intuition/feelings), Black (critical/risks), Yellow (benefits/optimism), Green (creative alternatives), Blue (process management) | Evaluate a proposed clinical trial: White examines prior data, Black identifies ethical risks, Green suggests novel endpoints | | **Morphological Analysis** | Exploring all combinations within a design space | Define dimensions of the problem, list options per dimension, systematically explore combinations | Drug delivery: dimensions = carrier (liposome, nanoparticle, hydrogel) x targeting (passive, active, magnetic) x release (pH, thermal, enzymatic) | | **TRIZ** | Resolving technical contradictions | Identify the contradiction (improv在 GitHub 阅读完整来源 (打开外部页面)