scientific-problem-selection-foundational-reference
Sub-skill of scientific-problem-selection: Foundational Reference.
Best use case
scientific-problem-selection-foundational-reference is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of scientific-problem-selection: Foundational Reference.
Teams using scientific-problem-selection-foundational-reference 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/foundational-reference/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scientific-problem-selection-foundational-reference Compares
| Feature / Agent | scientific-problem-selection-foundational-reference | 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: Foundational Reference.
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
# Foundational Reference ## Foundational Reference **Fischbach, M.A., & Walsh, C.T. (2024).** "Problem choice and decision trees in science and engineering." *Cell*, 187, 1828-1833. Based on course BIOE 395 taught at Stanford University.
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