Scientific Problem Selection
Evaluate and prioritize research questions by importance, novelty, tractability...
Install
npx skills add KunAgent/Kun --skill scientific-problem-selection -g -a claude-code -y- Repository
- KunAgent/Kun6.4k
- Category
- Writing
- Updated
- 3d ago
- License
- See repository
- Context cost
- Lightabout 362 tokens
- Runs scripts
- No, instructions only
What it does
Evaluate and prioritize research questions by importance, novelty, tractability, evidence, resources, ethics, and falsifiability.
Scientific Problem Selection
Copyright (c) 2026 KunAgent. Licensed under the MIT License.
Purpose
Evaluate and prioritize research questions by importance, novelty, tractability, evidence, resources, ethics, and falsifiability.
Tool routing
| Tool or skill | Use |
|---|---|
web_fetch | Retrieve public papers, datasets, calls, or standards. |
browser_use | Inspect public literature and research portals. |
render_chart | Compare candidate problems using structured criteria. |
load_skill | Load the scholarly-research skill for a dedicated literature review. |
Workflow
- Define field, decision horizon, available methods, resources, and constraints.
- Express each candidate as a falsifiable question with a measurable outcome.
- Map current evidence, competing explanations, and decisive experiments.
- Score importance, novelty, tractability, risk, ethics, and learning value.
- Choose a portfolio with a lead problem and fallback path.
Completion gates
- Verify novelty claims against current literature.
- Identify required sample size, data access, and ethical approvals.
- State what result would change the research direction.
Boundaries
- Do not equate fashionable topics with important questions.
- Do not recommend work that lacks a plausible ethical and resource path.
Delivery
Lead with the outcome, name the evidence used for verification, and disclose any real limitation that remains.
