scientific-problem-selection-reference-materials
Sub-skill of scientific-problem-selection: Reference Materials.
Best use case
scientific-problem-selection-reference-materials is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of scientific-problem-selection: Reference Materials.
Teams using scientific-problem-selection-reference-materials 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/reference-materials/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scientific-problem-selection-reference-materials Compares
| Feature / Agent | scientific-problem-selection-reference-materials | 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: Reference Materials.
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
# Reference Materials ## Reference Materials Detailed skill documentation is available in the `references/` folder: | File | Content | Search Patterns | |------|---------|-----------------| | `01-intuition-pumps.md` | Generate research ideas | `Intuition Pump #`, `Trap #`, `Phase [0-9]` | | `02-risk-assessment.md` | Risk identification | `Risk.*1-5`, `go/no-go`, `assumption` | | `03-optimization-function.md` | Success metrics | `Generality.*Learning`, `optimization`, `impact` | | `04-parameter-strategy.md` | Parameter fixation | `fixed.*float`, `constraint`, `parameter` | | `05-decision-tree.md` | Decision tree navigation | `altitude`, `Level [0-9]`, `decision` | | `06-adversity-planning.md` | Adversity response | `adversity`, `crisis`, `ensemble` | | `07-problem-inversion.md` | Problem inversion strategies | `Strategy [0-9]`, `inversion`, `goal` | | `08-integration-synthesis.md` | Integration and synthesis | `narrative`, `communication`, `story` | | `09-meta-framework.md` | Complete workflow | `Phase`, `workflow`, `orchestrat` | ---
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