Scientific Brainstorming
Apply structured scientific ideation frameworks like SCAMPER before committing to experiments, methods, or grant directions.
Overview
scientific-brainstorming is a journey-wide agent skill that structures scientific ideation with frameworks such as SCAMPER—usable whenever a solo builder needs to explore hypotheses before committing.
Install
npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill scientific-brainstormingWhat is this skill?
- SCAMPER framework with seven lenses: Substitute, Combine, Adapt, Modify, Put to other uses, Eliminate, Reverse
- Scientific application prompts per SCAMPER letter (materials, models, multi-omics, cross-field borrowing)
- Reference doc for advanced methodologies when standard brainstorming needs supplementation
- Designed for scientist-directed ideation and agent-assisted literature-style exploration
- Explicit cross-disciplinary adaptation examples (evolutionary algorithms to drug design, ML plus classical stats)
- SCAMPER framework documents 7 structured transformation lenses
Adoption & trust: 665 installs on skills.sh; 27.6k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You have a vague research direction but no systematic way to stress-test methods, collaborations, or assumptions before expensive lab or compute work.
Who is it for?
Solo scientists, bioinformatics founders, and agent users ideating studies, methods papers, or R&D features who want explicit frameworks—not free-form chat.
Skip if: Builders who already have an approved protocol and only need execution tooling, or non-research product copy brainstorming.
When should I use this skill?
Before committing to a scientific direction, when standard brainstorming needs supplementation, or when the user requests a specific structured methodology.
What do I get? / Deliverables
You leave with structured idea variants grounded in scientific applications of SCAMPER and related methodologies, ready to narrow into validation or implementation plans.
- Structured idea variants per chosen framework
- Scientific application notes per SCAMPER lens
- Shortlist of hypotheses or method changes to validate next
Recommended Skills
Journey fit
Useful at every journey phase - explore requirements and options before committing to a direction.
Where it fits
Run SCAMPER Substitute/Combine prompts to compare microscopy vs super-resolution for a pilot.
Narrow three computational vs animal model options before prototype spend.
Brainstorm merging ML with classical stats for a pipeline architecture decision.
Adapt known QC workflows from another field when revising a published method.
Generate distinct angle ideas for a methods blog or lab notebook public summary.
How it compares
Use instead of generic product brainstorming when the domain is experiments, datasets, and cross-field method transfer.
Common Questions / FAQ
Who is scientific-brainstorming for?
Researchers and indie builders using scientific agents who want SCAMPER-style and related methodologies applied to real experimental and analytical problems.
When should I use scientific-brainstorming?
At idea/research when framing a study, during validate/scope when choosing between methods, in build/backend when designing analysis pipelines, or in ship/review when improving an existing assay.
Is scientific-brainstorming safe to install?
It is reference and process guidance only with no built-in tool execution; review the Security Audits panel on this page before installing from the repo.
SKILL.md
READMESKILL.md - Scientific Brainstorming
# Advanced Brainstorming Methodologies This reference document provides detailed descriptions of structured brainstorming frameworks that can be applied to scientific ideation. Consult these when standard techniques need supplementation or when the scientist requests a specific methodology. ## SCAMPER Framework SCAMPER is an acronym for seven different ways to approach a problem or idea. Particularly useful for improving existing methods or adapting known techniques. ### Substitute - What elements can be replaced? (materials, methods, models, assumptions) - What other processes could achieve similar results? - What if you used a different organism/system/dataset? **Scientific applications:** - Substitute chemical catalysts with biological enzymes - Replace traditional microscopy with super-resolution techniques - Use computational models instead of animal models ### Combine - What ideas, methods, or technologies can be merged? - What collaborations would create synergy? - Can you combine data sources or techniques? **Scientific applications:** - Merge genomics with metabolomics for multi-omics analysis - Combine machine learning with traditional statistical methods - Integrate field observations with laboratory experiments ### Adapt - What can be borrowed from other fields? - How have others solved similar problems? - What analogous systems exist in nature or other disciplines? **Scientific applications:** - Adapt evolutionary algorithms to drug design - Use concepts from network theory to understand protein interactions - Apply ecological principles to microbiome research ### Modify (Magnify/Minify) - What can be amplified, exaggerated, or made more prominent? - What can be reduced, simplified, or made more subtle? - Change scale, frequency, or magnitude? **Scientific applications:** - Scale up from single cells to populations - Miniaturize assays for high-throughput screening - Increase temporal resolution of measurements - Simplify complex models to essential components ### Put to Another Use - What new applications could this serve? - Can this be used in a different context? - What unexpected applications might exist? **Scientific applications:** - Repurpose existing drugs for new diseases - Use industrial waste products as research materials - Apply failed experiments' insights to different questions ### Eliminate - What can be removed or simplified? - What's unnecessary? - What if you did less but better? **Scientific applications:** - Remove confounding variables - Eliminate expensive reagents or equipment requirements - Simplify experimental protocols - Remove assumptions to see what's truly necessary ### Reverse/Rearrange - What if you worked backwards? - Can you invert the process? - What if you changed the sequence? **Scientific applications:** - Work backwards from desired outcomes to methods - Reverse causality questions (what if the effect causes the cause?) - Rearrange experimental order - Invert the control and experimental groups conceptually ## Six Thinking Hats A method for exploring ideas from six distinct perspectives, ensuring comprehensive analysis. Have the scientist metaphorically "wear" different hats to shift thinking modes. ### White Hat (Facts and Information) - What data do we have? - What information is missing? - What facts are known? - What measurements exist? **Usage:** Start here to establish baseline knowledge ### Red Hat (Emotions and Intuition) - What's your gut feeling? - What excites or worries you? - What seems promising intuitively? - What emotional responses arise? **Usage:** Allow intuitive responses without justification ### Black Hat (Critical Judgment) - What could go wrong? - What are the weaknesses? - Why might this fail? - What are the risks? **Usage:** Identify potential problems constructively ### Yellow Hat (Optimistic View) - What's the best-case scenario? - What are the benefits? - Why might this work brilliantly? - What value could this create?