scientific-problem-selection
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
Best use case
scientific-problem-selection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
Teams using scientific-problem-selection should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/scientific-problem-selection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scientific-problem-selection Compares
| Feature / Agent | scientific-problem-selection | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Scientific Problem Selection Skills
A conversational framework for systematic scientific problem selection based on Fischbach & Walsh's "Problem choice and decision trees in science and engineering" (Cell, 2024).
## Getting Started
Present users with three entry points:
**1) Pitch an idea for a new project** — to work it up together
**2) Share a problem in a current project** — to troubleshoot together
**3) Ask a strategic question** — to navigate the decision tree together
This conversational entry meets scientists where they are and establishes a collaborative tone.
---
## Option 1: Pitch an Idea
### Initial Prompt
Ask: **"Tell me the short version of your idea (1-2 sentences)."**
### Response Approach
After the user shares their idea, return a quick summary (no more than one paragraph) demonstrating understanding. Note the general area of research and rephrase the idea in a way that highlights its kernel—showing alignment and readiness to dive into details.
### Follow-up Prompt
Then ask for more detail: "Now give me a bit more detail. You might include, however briefly or even say where you are unsure:
1. What exactly you want to do
2. How you currently plan to do it
3. If it works, why will it be a big deal
4. What you think are the major risks"
### Workflow
From there, guide the user through the early stages of problem selection and evaluation:
- **Skill 1: Intuition Pumps** - Refine and strengthen the idea
- **Skill 2: Risk Assessment** - Identify and manage project risks
- **Skill 3: Optimization Function** - Define success metrics
- **Skill 4: Parameter Strategy** - Determine what to fix vs. keep flexible
See `references/01-intuition-pumps.md`, `references/02-risk-assessment.md`, `references/03-optimization-function.md`, and `references/04-parameter-strategy.md` for detailed guidance.
---
## Option 2: Troubleshoot a Problem
### Initial Prompt
Ask: **"Tell me a short version of your problem (1-2 sentences or whatever is easy)."**
### Response Approach
After the user shares their problem, return a quick summary (no more than one paragraph) demonstrating understanding. Note the context of the project where the problem occurred and rephrase the problem—highlighting its core essence—so the user knows the situation is understood. Also raise additional questions that seem important to discuss.
### Follow-up Prompt
Then ask: "Now give me a bit more detail. You might include, however briefly:
1. The overall goal of your project (if we have not talked about it before)
2. What exactly went wrong
3. Your current ideas for fixing it"
### Workflow
From there, guide the user through troubleshooting and decision tree navigation:
- **Skill 5: Decision Tree Navigation** - Plan decision points and navigate between execution and strategic thinking
- **Skill 4: Parameter Strategy** - Fix one parameter at a time, let others float
- **Skill 6: Adversity Response** - Frame problems as opportunities for growth
- **Skill 7: Problem Inversion** - Strategies for navigating around obstacles
Always include workarounds that might be useful whether or not the problem can be fixed easily.
See `references/05-decision-tree.md`, `references/06-adversity-planning.md`, `references/07-problem-inversion.md`, and `references/04-parameter-strategy.md` for detailed guidance.
---
## Option 3: Ask a Strategic Question
### Initial Prompt
Ask: **"Tell me the short version of your question (1-2 sentences)."**
### Response Approach
After the user shares their question, return a quick summary (no more than one paragraph) demonstrating understanding. Note the broader context and rephrase the question—highlighting its crux—to confirm alignment with their thinking.
### Follow-up Prompt
Then ask: "Now give me a bit more detail. You might include, however briefly:
1. The setting (i.e., is this about a current or future project)
2. A bit more detail about what you're thinking"
### Workflow
From there, draw on the specific modules from the problem choice framework most appropriate to the question:
- **Skills 1-4** for future project planning (ideation, risk, optimization, parameters)
- **Skills 5-7** for current project navigation (decision trees, adversity, inversion)
- **Skill 8** for communication and synthesis
- **Skill 9** for comprehensive workflow orchestration
See the complete reference materials in the `references/` folder.
---
## Core Framework Concepts
### The Central Insight
**Problem Choice >> Execution Quality**
Even brilliant execution of a mediocre problem yields incremental impact. Good execution of an important problem yields substantial impact.
### The Time Paradox
Scientists typically spend:
- **Days** choosing a problem
- **Years** solving it
This imbalance limits impact. These skills help invest more time choosing wisely.
### Evaluation Axes
**For Evaluating Ideas:**
- **X-axis:** Likelihood of success
- **Y-axis:** Impact if successful
Skills help move ideas rightward (more feasible) and upward (more impactful).
### The Risk Paradox
- Don't avoid risk—befriend it
- No risk = incremental work
- But: Multiple miracles = avoid or refine
- **Balance:** Understood, quantified, manageable risk
### The Parameter Paradox
- Too many fixed = brittleness
- Too few fixed = paralysis
- **Sweet spot:** Fix ONE meaningful constraint
### The Adversity Principle
- Crises are inevitable (don't be surprised)
- Crises are opportune (don't waste them)
- **Strategy:** Fix problem AND upgrade project simultaneously
---
## The 9 Skills Overview
| Skill | Purpose | Output | Time |
|-------|---------|--------|------|
| 1. Intuition Pumps | Generate high-quality research ideas | Problem Ideation Document | ~1 week |
| 2. Risk Assessment | Identify and manage project risks | Risk Assessment Matrix | 3-5 days |
| 3. Optimization Function | Define success metrics | Impact Assessment Document | 2-3 days |
| 4. Parameter Strategy | Decide what to fix vs. keep flexible | Parameter Strategy Document | 2-3 days |
| 5. Decision Tree Navigation | Plan decision points and altitude dance | Decision Tree Map | 2 days |
| 6. Adversity Response | Prepare for crises as opportunities | Adversity Playbook | 2 days |
| 7. Problem Inversion | Navigate around obstacles | Problem Inversion Analysis | 1 day |
| 8. Integration & Synthesis | Synthesize into coherent plan | Project Communication Package | 3-5 days |
| 9. Meta-Framework | Orchestrate complete workflow | Complete Project Package | 1-6 weeks |
---
## Skill Workflow
```
SKILL 1: Intuition Pumps
| (generates idea)
v
SKILL 2: Risk Assessment
| (evaluates feasibility)
v
SKILL 3: Optimization Function
| (defines success metrics)
v
SKILL 4: Parameter Strategy
| (determines flexibility)
v
SKILL 5: Decision Tree
| (plans execution and evaluation)
v
SKILL 6: Adversity Planning
| (prepares for failure modes)
v
SKILL 7: Problem Inversion
| (provides pivot strategies)
v
SKILL 8: Integration & Communication
| (synthesizes into coherent plan)
v
SKILL 9: Meta-Skill
(orchestrates complete workflow)
```
---
## Key Design Principles
1. **Conversational Entry** - Meet users where they are with three clear starting points
2. **Thoughtful Interaction** - Ask clarifying questions; low confidence prompts additional input
3. **Literature Integration** - Use PubMed searches at strategic points for validation
4. **Concrete Outputs** - Every skill produces tangible 1-2 page documents
5. **Building Specificity** - Progressive detail emerges through targeted questions
6. **Flexibility** - Skills work independently, sequentially, or iteratively
7. **Scientific Rigor** - Claims about generality and feasibility should be evidence-based
---
## Who Should Use These Skills
### Graduate Students (Primary Audience)
- **When:** Choosing thesis projects, qualifying exams, committee meetings
- **Focus:** Skills 1-3 (ideation, risk, impact) + Skill 9 (complete workflow)
- **Timeline:** 2-4 weeks for comprehensive planning
### Postdocs
- **When:** Starting new position, planning independent projects, fellowship applications
- **Focus:** All skills, emphasizing independence and risk management
- **Timeline:** 1-2 weeks intensive planning
### Principal Investigators
- **When:** New lab, new direction, mentoring trainees, grant cycles
- **Focus:** Skills 1, 3, 4, 6 (ideation, impact, parameters, adversity)
- **Timeline:** Ongoing, integrate into lab culture
### Startup Founders
- **When:** Company inception, pivot decisions, investor pitches
- **Focus:** Skills 1-4 (ideation through parameters) + Skill 8 (communication)
- **Timeline:** 1-2 weeks for initial planning, revisit quarterly
---
## Reference Materials
Detailed skill documentation is available in the `references/` folder:
| File | Content | Search Patterns |
|------|---------|-----------------|
| `01-intuition-pumps.md` | Generate research ideas | `Intuition Pump #`, `Trap #`, `Phase [0-9]` |
| `02-risk-assessment.md` | Risk identification | `Risk.*1-5`, `go/no-go`, `assumption` |
| `03-optimization-function.md` | Success metrics | `Generality.*Learning`, `optimization`, `impact` |
| `04-parameter-strategy.md` | Parameter fixation | `fixed.*float`, `constraint`, `parameter` |
| `05-decision-tree.md` | Decision tree navigation | `altitude`, `Level [0-9]`, `decision` |
| `06-adversity-planning.md` | Adversity response | `adversity`, `crisis`, `ensemble` |
| `07-problem-inversion.md` | Problem inversion strategies | `Strategy [0-9]`, `inversion`, `goal` |
| `08-integration-synthesis.md` | Integration and synthesis | `narrative`, `communication`, `story` |
| `09-meta-framework.md` | Complete workflow | `Phase`, `workflow`, `orchestrat` |
---
## Expected Outcomes
### Immediate (After Completing Workflow)
- Clear project vision
- Honest risk assessment
- Contingency plans
- Communication materials ready
- Confidence in problem choice
### 6-Month
- Faster decisions (have framework)
- Productive adversity handling
- No existential crises (risks mitigated)
### 2-Year
- Published results or strong progress
- Avoided dead-end projects
- Career aligned with goals
- **Time well-spent** (ultimate measure)
---
## Foundational Reference
**Fischbach, M.A., & Walsh, C.T. (2024).** "Problem choice and decision trees in science and engineering." *Cell*, 187, 1828-1833.
Based on course BIOE 395 taught at Stanford University.Related Skills
scientific-writing
Assist with scientific paper writing, LaTeX formatting, abstract drafting, review responses, grant proposals, and academic communication. Use when user asks to write/edit a paper section, draft an abstract, format in LaTeX, respond to reviewer comments, write a grant proposal, or improve academic writing. Triggers on "write abstract", "draft introduction", "LaTeX", "reviewer response", "grant proposal", "improve my writing", "paper draft", "methods section".
scientific-visualization
Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.
scientific-summarization
Summarize and simplify scientific literature, educational content, and research papers
scientific-slides
Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.
scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
scientific-retrieval
Retrieve and recommend relevant documents from financial, historical, and scientific archives
scientific-reasoning
Mathematical and physical reasoning with formal proof construction and problem solving
scientific-prediction
Predict material properties, economic indicators, and scientific outcomes using computational models
scientific-manuscript
COPYRIGHT NOTICE
scientific-generation
Generate scientific code, protocols, and domain-specific text with quality control
scientific-diagram-generation
No description provided.
scientific-critical-thinking
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.