hypothesis-generation

Generate structured, testable hypotheses with mechanisms and predictions for LaTeX reports.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/trungkiet2005/ai_code_detection --skill hypothesis-generation-trungkiet2005
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hypothesis-generation
Source: https://github.com/trungkiet2005/ai_code_detection/tree/main/.claude/skills/hypothesis-generation
Command: npx skills add https://github.com/trungkiet2005/ai_code_detection --skill hypothesis-generation-trungkiet2005

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

This guide helps researchers generate structured, testable hypotheses from observations, enabling rigorous reasoning, literature grounding, and clear experimental planning.

Core Features & Use Cases

  • Systematic generation of mechanistic hypotheses from data or observations across disciplines (biology, physics, social sciences).
  • Clear articulation of competing hypotheses (3-5) with concise mechanisms, key evidence, and testable predictions.
  • Appendices-ready support for literature synthesis, experimental design planning, and quality assessment.

Quick Start

Describe the observed phenomenon and generate three distinct testable hypotheses with concise mechanisms and one discriminating experiment.

Frequently Asked Questions about hypothesis-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate testable hypotheses from research observations?

Generating testable hypotheses involves submitting your observed phenomenon to produce three to five distinct mechanistic explanations, each with concise mechanisms, key evidence, and discriminating experimental predictions.

What is the best way to structure competing hypotheses for a literature review?

Structuring competing hypotheses for a literature review requires articulating three to five options with concise mechanisms and evidence synthesis, which then supports appendices-ready quality assessment and citation-ready references.

Can I use this hypothesis generation process for social sciences and biology research design?

Yes, you can use this hypothesis generation process for social sciences, biology, and physics research design, because it systematically applies mechanistic explanations and evidence evaluation across scientific domains.

Does this tool export hypothesis reports in LaTeX format?

Yes, it produces outputs compatible with LaTeX hypothesis report templates, enabling you to directly export structured hypotheses, appendices, and citation-ready references for academic publishing.

How many competing hypotheses should I generate for rigorous experimental design?

You should generate three to five competing hypotheses for rigorous experimental design, ensuring each provides concise mechanisms, key evidence, and one discriminating experiment to explicitly test predictions.