scientific-problem-selection

Guides scientists through research problem selection, risk assessment, and project troubleshooting using a nine-skill framework.

Updated Jul 15, 2026
One-click install
npx skills add https://github.com/manatandu/Skill-Claude --skill scientific-problem-selection-manatandu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-problem-selection
Source: https://github.com/manatandu/Skill-Claude/tree/main/.agents/skills/scientific-problem-selection
Command: npx skills add https://github.com/manatandu/Skill-Claude --skill scientific-problem-selection-manatandu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Scientists often spend days choosing a research problem and years solving it, leading to poorly selected projects, unmanaged risks, and stalled work. This Skill provides a structured conversational framework based on Fischbach & Walsh's problem choice methodology (Cell, 2024) to help researchers pick better problems, evaluate risks, and navigate project crises. ## Core Features & Use Cases - Three Entry Points: Pitch a new project idea, troubleshoot a stuck project, or ask a strategic research question, each with tailored prompts and workflows. - Nine Modular Skills: Covers intuition pumps for ideation, risk assessment with assumption scoring, optimization function selection, parameter fixation strategy, decision tree navigation, adversity planning, problem inversion, integration, and meta-workflow orchestration. - Concrete Deliverables: Each module produces tangible 1-2 page documents such as a Problem Ideation Document, Risk Assessment Matrix, or Decision Tree Map. - Use Case: A graduate student unsure whether their thesis project is viable works through the risk assessment module to score assumptions on a 1-5 scale, identify late high-risk assumptions, and design early go/no-go experiments before committing years of work. ## Quick Start Ask the assistant to help you evaluate a research idea by describing your project in one or two sentences and requesting a risk and impact assessment.

Frequently Asked Questions about scientific-problem-selection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose a good research problem for my thesis?

Use the intuition pumps module to generate candidate ideas systematically, then score each on likelihood of success and potential impact. The framework recommends developing several ideas in parallel and comparing them rather than committing to the first idea.

How do I assess risks in a research project?

List every biological and technical assumption your project makes, score each on a 1-5 risk scale, and estimate time to test each one. High-risk assumptions that read out late are red flags; design early go/no-go experiments to test them first.

What should I do when my research project gets stuck?

Use the troubleshooting entry point to describe the problem, then apply decision tree navigation, parameter unfixing, or problem inversion strategies. The framework treats crises as opportunities to fix the problem and upgrade the project simultaneously.

Who is this scientific problem selection framework designed for?

It targets graduate students choosing thesis projects, postdocs planning independent work, principal investigators setting lab direction, and startup founders evaluating pivots. Each audience has recommended skill modules and timelines ranging from days to weeks.

What is the difference between fixing and floating project parameters?

Fixed parameters are constraints you commit to, such as a system, question, or method, while floating parameters can change if obstacles arise. The framework recommends fixing one meaningful parameter and letting others float, since too many fixed parameters create brittleness and too few cause paralysis.