scientific-problem-selection

Name: scientific-problem-selection
Availability: InStock
Author: sun2443

Guide scientists through structured ideation, risk assessment, and success-criteria definition for research problems.

Updated Apr 8, 2026

Search Tags:#project planning #constraints #risk assessment #decision trees #research ideation #scientific strategy #problem inversion

Ready to run

npx skills add https://github.com/sun2443/designer-skills --skill scientific-problem-selection-sun2443

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scientific-problem-selection
Source: https://github.com/sun2443/designer-skills/tree/main/bio-research/skills/scientific-problem-selection
Command: npx skills add https://github.com/sun2443/designer-skills --skill scientific-problem-selection-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps scientists choose the most promising research problem when they feel stuck, uncertain, or unsure what to work on next.

Core Features & Use Cases

Structured ideation for new projects: turns a rough idea into a coherent problem statement and early plan, including novelty and why it matters.
Troubleshooting and decision-tree navigation: reframes current project failures into structured next decisions, including alternatives and workarounds.
Risk, impact, and constraint strategy: builds an explicit assumption/risk profile, defines success metrics, and decides what to fix vs. keep flexible.

Quick Start

Ask the AI: "I’m a graduate student with this research idea: [paste 1-2 sentences]. Please run scientific-problem-selection to help me choose the best direction and produce a concise problem ideation plan."

Frequently Asked Questions about scientific-problem-selection

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

FAQPage Schema

How do I select a high-impact research problem when I am unsure what to work on next?▼

To select a high-impact research problem, you need structured ideation and risk assessment to turn rough ideas into coherent problem statements with explicit hypotheses, assumptions, and mitigation plans.

What is the best way to reframe a stalled scientific project into actionable next steps?▼

Reframing a stalled scientific project requires troubleshooting and decision-tree navigation to transform current failures into structured next decisions, including viable alternatives and technical workarounds.

Can I use decision trees for scientific strategy and risk assessment in new project planning?▼

Yes, decision trees guide scientific strategy by mapping project constraints and building explicit assumption and risk profiles that define success metrics and decide what to fix versus keep flexible.

How do I define success criteria and constraints for a research ideation plan?▼

Defining success criteria and constraints for research ideation involves creating an explicit risk and impact profile, setting measurable metrics, and framing parameter strategy to determine project flexibility.

Does problem inversion help with troubleshooting failed research hypotheses?▼

Problem inversion assists troubleshooting failed research hypotheses by restructuring the scientific strategy, allowing you to navigate decision trees and generate structured alternatives for stalled efforts.

What are the limitations of using structured ideation for scientific problem selection?▼

Structured ideation for scientific problem selection requires a conversational, stage-based workflow to produce intermediate artifacts, meaning it may not suit researchers needing immediate, unstructured brainstorming without explicit mitigation plans.