hypothesis-generation

Generate structured scientific hypotheses with falsifiable predictions and LaTeX reports.

Updated May 26, 2026
One-click install
npx skills add https://github.com/XWIlluDelu/agent-share --skill hypothesis-generation-xwilludelu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hypothesis-generation
Source: https://github.com/XWIlluDelu/agent-share/tree/main/lib/hypothesis-generation
Command: npx skills add https://github.com/XWIlluDelu/agent-share --skill hypothesis-generation-xwilludelu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) and scripts (resource) components.

What problem does it solve?

Converts experimental observations or preliminary data into structured, evidence-based scientific hypotheses with clear mechanisms, competing explanations, and falsifiable predictions.

Core Features & Use Cases

  • Scientific Hypothesis Structuring: Builds 3–5 competing mechanistic hypotheses, each with core assumptions and key supporting evidence.
  • Evidence-Grounded Development: Guides literature searching and synthesis to ground hypotheses in existing findings and identify gaps or conflicts.
  • Experiment & Prediction Planning: Translates hypotheses into experimental tests and quantitative, falsifiable predictions, including discriminating comparisons.
  • Publication-Ready Reporting: Produces a structured LaTeX hypothesis report using a dedicated template and styled colored sections (summary, hypotheses, predictions, comparisons, appendices).
  • Mandatory Scientific Figures: Enforces creation of 1–2 schematic figures via the scientific-schematics skill to complete hypothesis reports.

Quick Start

Use the hypothesis-generation skill to generate a structured scientific hypothesis report from your observations, ensuring your output includes at least one schematic figure generated with the scientific-schematics skill.

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 preliminary experimental data?

To generate testable hypotheses from preliminary experimental data, you formulate three to five competing mechanistic explanations with core assumptions, supporting evidence, and falsifiable predictions for discriminating experiments.

What is the best way to structure a scientific hypothesis report in LaTeX?

A scientific hypothesis report in LaTeX is structured using a dedicated template with styled colored sections for summaries, competing hypotheses, experimental predictions, discriminating comparisons, and appendices.

Can I use literature reviews to formulate falsifiable predictions for research planning?

Yes, you can use literature reviews to ground falsifiable predictions in research planning by synthesizing existing findings to identify gaps or conflicts, then translating those mechanisms into quantitative experimental tests.

Do I need scientific schematics to complete an experiment design report?

Yes, scientific schematics are required to complete an experiment design report; the process mandates creating one to two schematic figures to visually represent the mechanistic hypotheses and experimental designs.

How does hypothesis generation handle competing mechanistic explanations in scientific method workflows?

Hypothesis generation handles competing mechanistic explanations by building three to five structured alternatives, each grounded in supporting literature evidence and paired with distinct, falsifiable predictions for discriminating experimental comparisons.

Are there limitations when proposing research directions across different scientific domains?

There are no domain limitations when proposing research directions across scientific domains, provided you supply preliminary data or observations to formulate evidence-based mechanistic explanations and falsifiable experimental designs.