scientific-problem-selection
Systematic framework for scientific problem selection, project ideation, troubleshooting stuck projects, and strategic research decisions.
Best use case
scientific-problem-selection is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Systematic framework for scientific problem selection, project ideation, troubleshooting stuck projects, and strategic research decisions.
Teams using scientific-problem-selection 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/scientific-problem-selection/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How scientific-problem-selection Compares
| Feature / Agent | scientific-problem-selection | 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?
Systematic framework for scientific problem selection, project ideation, troubleshooting stuck projects, and strategic research decisions.
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
# Scientific Problem Selection ## Sub-Skills - [Getting Started](getting-started/SKILL.md) - [Initial Prompt (+3)](initial-prompt/SKILL.md) - [Initial Prompt (+3)](initial-prompt/SKILL.md) - [Initial Prompt (+3)](initial-prompt/SKILL.md) - [The Central Insight (+5)](the-central-insight/SKILL.md) - [The 9 Skills Overview](the-9-skills-overview/SKILL.md) - [Skill Workflow](skill-workflow/SKILL.md) - [Key Design Principles](key-design-principles/SKILL.md) - [Graduate Students (Primary Audience) (+3)](graduate-students-primary-audience/SKILL.md) - [Reference Materials](reference-materials/SKILL.md) - [Immediate (After Completing Workflow) (+2)](immediate-after-completing-workflow/SKILL.md) - [Foundational Reference](foundational-reference/SKILL.md)
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Sub-skill of scientific-problem-selection: The Central Insight (+5).
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Sub-skill of scientific-problem-selection: The 9 Skills Overview.
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Sub-skill of scientific-problem-selection: Skill Workflow.
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Sub-skill of scientific-problem-selection: Reference Materials.
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Sub-skill of scientific-problem-selection: Key Design Principles.
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Sub-skill of scientific-problem-selection: Initial Prompt (+3).
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Sub-skill of scientific-problem-selection: Immediate (After Completing Workflow) (+2).
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Sub-skill of scientific-problem-selection: Graduate Students (Primary Audience) (+3).
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Sub-skill of scientific-problem-selection: Foundational Reference.
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Sub-skill of instrument-data-allotrope: Output Format Selection.
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