scientific-problem-selection-key-design-principles
Sub-skill of scientific-problem-selection: Key Design Principles.
Best use case
scientific-problem-selection-key-design-principles is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of scientific-problem-selection: Key Design Principles.
Teams using scientific-problem-selection-key-design-principles 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/key-design-principles/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scientific-problem-selection-key-design-principles Compares
| Feature / Agent | scientific-problem-selection-key-design-principles | 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?
Sub-skill of scientific-problem-selection: Key Design Principles.
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
# 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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