research-methodology

Convert literature gaps into falsifiable hypotheses and controlled study designs.

31|8|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill research-methodology-itallstartedwithaidea
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-methodology
Source: https://github.com/itallstartedwithaidea/agent-skills/tree/main/skills/scientific-research/research-methodology
Command: npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill research-methodology-itallstartedwithaidea

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents flawed scientific research by enforcing methodological rigor across the full lifecycle, from forming a falsifiable hypothesis to designing controlled experiments and preparing analysis and peer-review materials.

Core Features & Use Cases

  • Falsifiable hypothesis generation: Structures null/alternative hypotheses with explicit falsifiability and clear independent/dependent/controlled variables to reduce weak study design.
  • Experimental design with safeguards: Specifies controls, variables, randomization/blinding approaches, and a sequential workflow that gates execution on power and preregistration readiness.
  • Systematic literature review support: Guides PRISMA-style search structure, inclusion/exclusion criteria, and citation tracking so evidence is gathered and reported consistently.
  • Ethics and submission preparation: Helps plan data collection protocols and manuscript/peer-review readiness, including ethical review board preparation.

Quick Start

Ask the AI to create a complete research methodology for your study by generating a falsifiable hypothesis, proposing a controlled experimental design, and drafting a preregistered analysis plan.

Frequently Asked Questions about research-methodology

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

FAQPage Schema
How do I design a controlled experiment with a falsifiable hypothesis?

To design a controlled experiment with a falsifiable hypothesis, structure explicit null and alternative hypotheses while defining independent, dependent, and controlled variables. This approach specifies randomization, blinding, and sequential workflow gates to ensure rigorous experimental design.

What is PRISMA-aligned screening criteria for a systematic literature review?

PRISMA-aligned screening criteria are standardized inclusion and exclusion rules used to structure search protocols and track citations in a systematic literature review. They ensure evidence is gathered and reported consistently to maintain methodological rigor.

How do I calculate power and sample size for preregistered analysis planning?

Calculate power and sample size by applying methodological gates that block execution until readiness is verified for preregistered analysis planning. This workflow enforces explicit variable definitions and sequential safeguards before finalizing data collection protocols.

Can I prepare ethics review board protocols for biomedical and social-science studies?

Yes, you can prepare ethics review board protocols for biomedical and social-science studies by planning ethics-ready data collection workflows and manuscript readiness. This ensures submission materials meet peer-review standards across both research contexts.

Does this research methodology support generating hypotheses from literature gaps?

Yes, this research methodology supports generating hypotheses from literature gaps by converting identified evidence deficits into structured null and alternative hypotheses. It enforces explicit falsifiability and clear variable definitions to reduce weak study design.

What are the limitations of using methodological gates for experimental planning?

Methodological gates for experimental planning require fully specified variable definitions and power calculations before execution. This sequential workflow prevents proceeding without preregistration readiness, which may delay rapid data collection in time-sensitive research contexts.