# Scientific Problem Selection Key Design Principles

> Sub-skill of scientific-problem-selection: Key Design Principles.

- Skill: `vamseeachanta/scientific-problem-selection-key-design-principles` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/scientific-problem-selection-key-design-principles`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/scientific-problem-selection-key-design-principles/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/scientific-problem-selection-key-design-principles

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# Key Design Principles

## 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

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